xref: /petsc/src/snes/interface/snes.c (revision 5c8dc79e014d2b2d09dddb7840736ab21fbd1dc2)

#include <petsc/private/snesimpl.h> /*I "petscsnes.h"  I*/
#include <petscdmshell.h>
#include <petscdraw.h>
#include <petscds.h>
#include <petscdmadaptor.h>
#include <petscconvest.h>

PetscBool         SNESRegisterAllCalled = PETSC_FALSE;
PetscFunctionList SNESList              = NULL;

/* Logging support */
PetscClassId  SNES_CLASSID, DMSNES_CLASSID;
PetscLogEvent SNES_Solve, SNES_SetUp, SNES_FunctionEval, SNES_JacobianEval, SNES_NGSEval, SNES_NGSFuncEval, SNES_NPCSolve, SNES_ObjectiveEval;

/*@
  SNESSetErrorIfNotConverged - Causes `SNESSolve()` to generate an error immediately if the solver has not converged.

  Logically Collective

  Input Parameters:
+ snes - iterative context obtained from `SNESCreate()`
- flg  - `PETSC_TRUE` indicates you want the error generated

  Options Database Key:
. -snes_error_if_not_converged <true,false> - cause an immediate error condition and stop the program if the solver does not converge

  Level: intermediate

  Note:
  Normally PETSc continues if a solver fails to converge, you can call `SNESGetConvergedReason()` after a `SNESSolve()`
  to determine if it has converged. Otherwise the solution may be inaccurate or wrong

.seealso: [](ch_snes), `SNES`, `SNESGetErrorIfNotConverged()`, `KSPGetErrorIfNotConverged()`, `KSPSetErrorIfNotConverged()`
@*/
PetscErrorCode SNESSetErrorIfNotConverged(SNES snes, PetscBool flg)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidLogicalCollectiveBool(snes, flg, 2);
  snes->errorifnotconverged = flg;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetErrorIfNotConverged - Indicates if `SNESSolve()` will generate an error if the solver does not converge?

  Not Collective

  Input Parameter:
. snes - iterative context obtained from `SNESCreate()`

  Output Parameter:
. flag - `PETSC_TRUE` if it will generate an error, else `PETSC_FALSE`

  Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetErrorIfNotConverged()`, `KSPGetErrorIfNotConverged()`, `KSPSetErrorIfNotConverged()`
@*/
PetscErrorCode SNESGetErrorIfNotConverged(SNES snes, PetscBool *flag)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(flag, 2);
  *flag = snes->errorifnotconverged;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetAlwaysComputesFinalResidual - tells the `SNES` to always compute the residual (nonlinear function value) at the final solution

  Logically Collective

  Input Parameters:
+ snes - the shell `SNES`
- flg  - `PETSC_TRUE` to always compute the residual

  Level: advanced

  Note:
  Some solvers (such as smoothers in a `SNESFAS`) do not need the residual computed at the final solution so skip computing it
  to save time.

.seealso: [](ch_snes), `SNES`, `SNESFAS`, `SNESSolve()`, `SNESGetAlwaysComputesFinalResidual()`
@*/
PetscErrorCode SNESSetAlwaysComputesFinalResidual(SNES snes, PetscBool flg)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  snes->alwayscomputesfinalresidual = flg;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetAlwaysComputesFinalResidual - checks if the `SNES` always computes the residual at the final solution

  Logically Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. flg - `PETSC_TRUE` if the residual is computed

  Level: advanced

.seealso: [](ch_snes), `SNES`, `SNESFAS`, `SNESSolve()`, `SNESSetAlwaysComputesFinalResidual()`
@*/
PetscErrorCode SNESGetAlwaysComputesFinalResidual(SNES snes, PetscBool *flg)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  *flg = snes->alwayscomputesfinalresidual;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetFunctionDomainError - tells `SNES` that the input vector, a proposed new solution, to your function you provided to `SNESSetFunction()` is not
  in the functions domain. For example, a step with negative pressure.

  Logically Collective

  Input Parameter:
. snes - the `SNES` context

  Level: advanced

  Notes:
  If this is called the `SNESSolve()` stops iterating and returns with a `SNESConvergedReason` of `SNES_DIVERGED_FUNCTION_DOMAIN`

  You should always call `SNESGetConvergedReason()` after each `SNESSolve()` and verify if the iteration converged (positive result) or diverged (negative result).

  You can direct `SNES` to avoid certain steps by using `SNESVISetVariableBounds()`, `SNESVISetComputeVariableBounds()` or
  `SNESLineSearchSetPreCheck()`, `SNESLineSearchSetPostCheck()`

.seealso: [](ch_snes), `SNESCreate()`, `SNESSetFunction()`, `SNESFunction`, `SNESSetJacobianDomainError()`, `SNESVISetVariableBounds()`,
          `SNESVISetComputeVariableBounds()`, `SNESLineSearchSetPreCheck()`, `SNESLineSearchSetPostCheck()`, `SNESConvergedReason`, `SNESGetConvergedReason()`
@*/
PetscErrorCode SNESSetFunctionDomainError(SNES snes)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCheck(!snes->errorifnotconverged, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "User code indicates input vector is not in the function domain");
  snes->domainerror = PETSC_TRUE;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetJacobianDomainError - tells `SNES` that the function you provided to `SNESSetJacobian()` at the proposed step. For example there is a negative element transformation.

  Logically Collective

  Input Parameter:
. snes - the `SNES` context

  Level: advanced

  Notes:
  If this is called the `SNESSolve()` stops iterating and returns with a `SNESConvergedReason` of `SNES_DIVERGED_FUNCTION_DOMAIN`

  You should always call `SNESGetConvergedReason()` after each `SNESSolve()` and verify if the iteration converged (positive result) or diverged (negative result).

  You can direct `SNES` to avoid certain steps by using `SNESVISetVariableBounds()`, `SNESVISetComputeVariableBounds()` or
  `SNESLineSearchSetPreCheck()`, `SNESLineSearchSetPostCheck()`

.seealso: [](ch_snes), `SNESCreate()`, `SNESSetFunction()`, `SNESFunction()`, `SNESSetFunctionDomainError()`, `SNESVISetVariableBounds()`,
          `SNESVISetComputeVariableBounds()`, `SNESLineSearchSetPreCheck()`, `SNESLineSearchSetPostCheck()`, `SNESConvergedReason`, `SNESGetConvergedReason()`
@*/
PetscErrorCode SNESSetJacobianDomainError(SNES snes)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCheck(!snes->errorifnotconverged, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "User code indicates computeJacobian does not make sense");
  snes->jacobiandomainerror = PETSC_TRUE;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetCheckJacobianDomainError - tells `SNESSolve()` whether to check if the user called `SNESSetJacobianDomainError()` Jacobian domain error after
  each Jacobian evaluation. By default, it checks for the Jacobian domain error in the debug mode, and does not check it in the optimized mode.

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
- flg  - indicates if or not to check Jacobian domain error after each Jacobian evaluation

  Level: advanced

  Note:
  Checks require one extra parallel synchronization for each Jacobian evaluation

.seealso: [](ch_snes), `SNES`, `SNESConvergedReason`, `SNESCreate()`, `SNESSetFunction()`, `SNESFunction()`, `SNESSetFunctionDomainError()`, `SNESGetCheckJacobianDomainError()`
@*/
PetscErrorCode SNESSetCheckJacobianDomainError(SNES snes, PetscBool flg)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  snes->checkjacdomainerror = flg;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetCheckJacobianDomainError - Get an indicator whether or not `SNES` is checking Jacobian domain errors after each Jacobian evaluation.

  Logically Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. flg - `PETSC_FALSE` indicates that it is not checking Jacobian domain errors after each Jacobian evaluation

  Level: advanced

.seealso: [](ch_snes), `SNES`, `SNESCreate()`, `SNESSetFunction()`, `SNESFunction()`, `SNESSetFunctionDomainError()`, `SNESSetCheckJacobianDomainError()`
@*/
PetscErrorCode SNESGetCheckJacobianDomainError(SNES snes, PetscBool *flg)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(flg, 2);
  *flg = snes->checkjacdomainerror;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetFunctionDomainError - Gets the status of the domain error after a call to `SNESComputeFunction()`

  Logically Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. domainerror - Set to `PETSC_TRUE` if there's a domain error; `PETSC_FALSE` otherwise.

  Level: developer

.seealso: [](ch_snes), `SNES`, `SNESSetFunctionDomainError()`, `SNESComputeFunction()`
@*/
PetscErrorCode SNESGetFunctionDomainError(SNES snes, PetscBool *domainerror)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(domainerror, 2);
  *domainerror = snes->domainerror;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetJacobianDomainError - Gets the status of the Jacobian domain error after a call to `SNESComputeJacobian()`

  Logically Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. domainerror - Set to `PETSC_TRUE` if there's a Jacobian domain error; `PETSC_FALSE` otherwise.

  Level: advanced

.seealso: [](ch_snes), `SNES`, `SNESSetFunctionDomainError()`, `SNESComputeFunction()`, `SNESGetFunctionDomainError()`
@*/
PetscErrorCode SNESGetJacobianDomainError(SNES snes, PetscBool *domainerror)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(domainerror, 2);
  *domainerror = snes->jacobiandomainerror;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESLoad - Loads a `SNES` that has been stored in `PETSCVIEWERBINARY` with `SNESView()`.

  Collective

  Input Parameters:
+ snes   - the newly loaded `SNES`, this needs to have been created with `SNESCreate()` or
           some related function before a call to `SNESLoad()`.
- viewer - binary file viewer, obtained from `PetscViewerBinaryOpen()`

  Level: intermediate

  Note:
  The `SNESType` is determined by the data in the file, any type set into the `SNES` before this call is ignored.

.seealso: [](ch_snes), `SNES`, `PetscViewer`, `SNESCreate()`, `SNESType`, `PetscViewerBinaryOpen()`, `SNESView()`, `MatLoad()`, `VecLoad()`
@*/
PetscErrorCode SNESLoad(SNES snes, PetscViewer viewer)
{
  PetscBool isbinary;
  PetscInt  classid;
  char      type[256];
  KSP       ksp;
  DM        dm;
  DMSNES    dmsnes;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidHeaderSpecific(viewer, PETSC_VIEWER_CLASSID, 2);
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary));
  PetscCheck(isbinary, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Invalid viewer; open viewer with PetscViewerBinaryOpen()");

  PetscCall(PetscViewerBinaryRead(viewer, &classid, 1, NULL, PETSC_INT));
  PetscCheck(classid == SNES_FILE_CLASSID, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_WRONG, "Not SNES next in file");
  PetscCall(PetscViewerBinaryRead(viewer, type, 256, NULL, PETSC_CHAR));
  PetscCall(SNESSetType(snes, type));
  PetscTryTypeMethod(snes, load, viewer);
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMGetDMSNES(dm, &dmsnes));
  PetscCall(DMSNESLoad(dmsnes, viewer));
  PetscCall(SNESGetKSP(snes, &ksp));
  PetscCall(KSPLoad(ksp, viewer));
  PetscFunctionReturn(PETSC_SUCCESS);
}

#include <petscdraw.h>
#if defined(PETSC_HAVE_SAWS)
  #include <petscviewersaws.h>
#endif

/*@C
  SNESViewFromOptions - View a `SNES` based on values in the options database

  Collective

  Input Parameters:
+ A    - the `SNES` context
. obj  - Optional object that provides the options prefix for the checks
- name - command line option

  Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESView`, `PetscObjectViewFromOptions()`, `SNESCreate()`
@*/
PetscErrorCode SNESViewFromOptions(SNES A, PetscObject obj, const char name[])
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(A, SNES_CLASSID, 1);
  PetscCall(PetscObjectViewFromOptions((PetscObject)A, obj, name));
  PetscFunctionReturn(PETSC_SUCCESS);
}

PETSC_EXTERN PetscErrorCode SNESComputeJacobian_DMDA(SNES, Vec, Mat, Mat, void *);

/*@C
  SNESView - Prints or visualizes the `SNES` data structure.

  Collective

  Input Parameters:
+ snes   - the `SNES` context
- viewer - the `PetscViewer`

  Options Database Key:
. -snes_view - Calls `SNESView()` at end of `SNESSolve()`

  Level: beginner

  Notes:
  The available visualization contexts include
+     `PETSC_VIEWER_STDOUT_SELF` - standard output (default)
-     `PETSC_VIEWER_STDOUT_WORLD` - synchronized standard
  output where only the first processor opens
  the file.  All other processors send their
  data to the first processor to print.

  The available formats include
+     `PETSC_VIEWER_DEFAULT` - standard output (default)
-     `PETSC_VIEWER_ASCII_INFO_DETAIL` - more verbose output for `SNESNASM`

  The user can open an alternative visualization context with
  `PetscViewerASCIIOpen()` - output to a specified file.

  In the debugger you can do "call `SNESView`(snes,0)" to display the `SNES` solver. (The same holds for any PETSc object viewer).

.seealso: [](ch_snes), `SNES`, `SNESLoad()`, `SNESCreate()`, `PetscViewerASCIIOpen()`
@*/
PetscErrorCode SNESView(SNES snes, PetscViewer viewer)
{
  SNESKSPEW     *kctx;
  KSP            ksp;
  SNESLineSearch linesearch;
  PetscBool      iascii, isstring, isbinary, isdraw;
  DMSNES         dmsnes;
#if defined(PETSC_HAVE_SAWS)
  PetscBool issaws;
#endif

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (!viewer) PetscCall(PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)snes), &viewer));
  PetscValidHeaderSpecific(viewer, PETSC_VIEWER_CLASSID, 2);
  PetscCheckSameComm(snes, 1, viewer, 2);

  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii));
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSTRING, &isstring));
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary));
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERDRAW, &isdraw));
#if defined(PETSC_HAVE_SAWS)
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSAWS, &issaws));
#endif
  if (iascii) {
    SNESNormSchedule normschedule;
    DM               dm;
    PetscErrorCode (*cJ)(SNES, Vec, Mat, Mat, void *);
    void       *ctx;
    const char *pre = "";

    PetscCall(PetscObjectPrintClassNamePrefixType((PetscObject)snes, viewer));
    if (!snes->setupcalled) PetscCall(PetscViewerASCIIPrintf(viewer, "  SNES has not been set up so information may be incomplete\n"));
    if (snes->ops->view) {
      PetscCall(PetscViewerASCIIPushTab(viewer));
      PetscUseTypeMethod(snes, view, viewer);
      PetscCall(PetscViewerASCIIPopTab(viewer));
    }
    PetscCall(PetscViewerASCIIPrintf(viewer, "  maximum iterations=%" PetscInt_FMT ", maximum function evaluations=%" PetscInt_FMT "\n", snes->max_its, snes->max_funcs));
    PetscCall(PetscViewerASCIIPrintf(viewer, "  tolerances: relative=%g, absolute=%g, solution=%g\n", (double)snes->rtol, (double)snes->abstol, (double)snes->stol));
    if (snes->usesksp) PetscCall(PetscViewerASCIIPrintf(viewer, "  total number of linear solver iterations=%" PetscInt_FMT "\n", snes->linear_its));
    PetscCall(PetscViewerASCIIPrintf(viewer, "  total number of function evaluations=%" PetscInt_FMT "\n", snes->nfuncs));
    PetscCall(SNESGetNormSchedule(snes, &normschedule));
    if (normschedule > 0) PetscCall(PetscViewerASCIIPrintf(viewer, "  norm schedule %s\n", SNESNormSchedules[normschedule]));
    if (snes->gridsequence) PetscCall(PetscViewerASCIIPrintf(viewer, "  total number of grid sequence refinements=%" PetscInt_FMT "\n", snes->gridsequence));
    if (snes->ksp_ewconv) {
      kctx = (SNESKSPEW *)snes->kspconvctx;
      if (kctx) {
        PetscCall(PetscViewerASCIIPrintf(viewer, "  Eisenstat-Walker computation of KSP relative tolerance (version %" PetscInt_FMT ")\n", kctx->version));
        PetscCall(PetscViewerASCIIPrintf(viewer, "    rtol_0=%g, rtol_max=%g, threshold=%g\n", (double)kctx->rtol_0, (double)kctx->rtol_max, (double)kctx->threshold));
        PetscCall(PetscViewerASCIIPrintf(viewer, "    gamma=%g, alpha=%g, alpha2=%g\n", (double)kctx->gamma, (double)kctx->alpha, (double)kctx->alpha2));
      }
    }
    if (snes->lagpreconditioner == -1) {
      PetscCall(PetscViewerASCIIPrintf(viewer, "  Preconditioned is never rebuilt\n"));
    } else if (snes->lagpreconditioner > 1) {
      PetscCall(PetscViewerASCIIPrintf(viewer, "  Preconditioned is rebuilt every %" PetscInt_FMT " new Jacobians\n", snes->lagpreconditioner));
    }
    if (snes->lagjacobian == -1) {
      PetscCall(PetscViewerASCIIPrintf(viewer, "  Jacobian is never rebuilt\n"));
    } else if (snes->lagjacobian > 1) {
      PetscCall(PetscViewerASCIIPrintf(viewer, "  Jacobian is rebuilt every %" PetscInt_FMT " SNES iterations\n", snes->lagjacobian));
    }
    PetscCall(SNESGetDM(snes, &dm));
    PetscCall(DMSNESGetJacobian(dm, &cJ, &ctx));
    if (snes->mf_operator) {
      PetscCall(PetscViewerASCIIPrintf(viewer, "  Jacobian is applied matrix-free with differencing\n"));
      pre = "Preconditioning ";
    }
    if (cJ == SNESComputeJacobianDefault) {
      PetscCall(PetscViewerASCIIPrintf(viewer, "  %sJacobian is built using finite differences one column at a time\n", pre));
    } else if (cJ == SNESComputeJacobianDefaultColor) {
      PetscCall(PetscViewerASCIIPrintf(viewer, "  %sJacobian is built using finite differences with coloring\n", pre));
      /* it slightly breaks data encapsulation for access the DMDA information directly */
    } else if (cJ == SNESComputeJacobian_DMDA) {
      MatFDColoring fdcoloring;
      PetscCall(PetscObjectQuery((PetscObject)dm, "DMDASNES_FDCOLORING", (PetscObject *)&fdcoloring));
      if (fdcoloring) {
        PetscCall(PetscViewerASCIIPrintf(viewer, "  %sJacobian is built using colored finite differences on a DMDA\n", pre));
      } else {
        PetscCall(PetscViewerASCIIPrintf(viewer, "  %sJacobian is built using a DMDA local Jacobian\n", pre));
      }
    } else if (snes->mf && !snes->mf_operator) {
      PetscCall(PetscViewerASCIIPrintf(viewer, "  Jacobian is applied matrix-free with differencing, no explicit Jacobian\n"));
    }
  } else if (isstring) {
    const char *type;
    PetscCall(SNESGetType(snes, &type));
    PetscCall(PetscViewerStringSPrintf(viewer, " SNESType: %-7.7s", type));
    PetscTryTypeMethod(snes, view, viewer);
  } else if (isbinary) {
    PetscInt    classid = SNES_FILE_CLASSID;
    MPI_Comm    comm;
    PetscMPIInt rank;
    char        type[256];

    PetscCall(PetscObjectGetComm((PetscObject)snes, &comm));
    PetscCallMPI(MPI_Comm_rank(comm, &rank));
    if (rank == 0) {
      PetscCall(PetscViewerBinaryWrite(viewer, &classid, 1, PETSC_INT));
      PetscCall(PetscStrncpy(type, ((PetscObject)snes)->type_name, sizeof(type)));
      PetscCall(PetscViewerBinaryWrite(viewer, type, sizeof(type), PETSC_CHAR));
    }
    PetscTryTypeMethod(snes, view, viewer);
  } else if (isdraw) {
    PetscDraw draw;
    char      str[36];
    PetscReal x, y, bottom, h;

    PetscCall(PetscViewerDrawGetDraw(viewer, 0, &draw));
    PetscCall(PetscDrawGetCurrentPoint(draw, &x, &y));
    PetscCall(PetscStrncpy(str, "SNES: ", sizeof(str)));
    PetscCall(PetscStrlcat(str, ((PetscObject)snes)->type_name, sizeof(str)));
    PetscCall(PetscDrawStringBoxed(draw, x, y, PETSC_DRAW_BLUE, PETSC_DRAW_BLACK, str, NULL, &h));
    bottom = y - h;
    PetscCall(PetscDrawPushCurrentPoint(draw, x, bottom));
    PetscTryTypeMethod(snes, view, viewer);
#if defined(PETSC_HAVE_SAWS)
  } else if (issaws) {
    PetscMPIInt rank;
    const char *name;

    PetscCall(PetscObjectGetName((PetscObject)snes, &name));
    PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
    if (!((PetscObject)snes)->amsmem && rank == 0) {
      char dir[1024];

      PetscCall(PetscObjectViewSAWs((PetscObject)snes, viewer));
      PetscCall(PetscSNPrintf(dir, 1024, "/PETSc/Objects/%s/its", name));
      PetscCallSAWs(SAWs_Register, (dir, &snes->iter, 1, SAWs_READ, SAWs_INT));
      if (!snes->conv_hist) PetscCall(SNESSetConvergenceHistory(snes, NULL, NULL, PETSC_DECIDE, PETSC_TRUE));
      PetscCall(PetscSNPrintf(dir, 1024, "/PETSc/Objects/%s/conv_hist", name));
      PetscCallSAWs(SAWs_Register, (dir, snes->conv_hist, 10, SAWs_READ, SAWs_DOUBLE));
    }
#endif
  }
  if (snes->linesearch) {
    PetscCall(SNESGetLineSearch(snes, &linesearch));
    PetscCall(PetscViewerASCIIPushTab(viewer));
    PetscCall(SNESLineSearchView(linesearch, viewer));
    PetscCall(PetscViewerASCIIPopTab(viewer));
  }
  if (snes->npc && snes->usesnpc) {
    PetscCall(PetscViewerASCIIPushTab(viewer));
    PetscCall(SNESView(snes->npc, viewer));
    PetscCall(PetscViewerASCIIPopTab(viewer));
  }
  PetscCall(PetscViewerASCIIPushTab(viewer));
  PetscCall(DMGetDMSNES(snes->dm, &dmsnes));
  PetscCall(DMSNESView(dmsnes, viewer));
  PetscCall(PetscViewerASCIIPopTab(viewer));
  if (snes->usesksp) {
    PetscCall(SNESGetKSP(snes, &ksp));
    PetscCall(PetscViewerASCIIPushTab(viewer));
    PetscCall(KSPView(ksp, viewer));
    PetscCall(PetscViewerASCIIPopTab(viewer));
  }
  if (isdraw) {
    PetscDraw draw;
    PetscCall(PetscViewerDrawGetDraw(viewer, 0, &draw));
    PetscCall(PetscDrawPopCurrentPoint(draw));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*
  We retain a list of functions that also take SNES command
  line options. These are called at the end SNESSetFromOptions()
*/
#define MAXSETFROMOPTIONS 5
static PetscInt numberofsetfromoptions;
static PetscErrorCode (*othersetfromoptions[MAXSETFROMOPTIONS])(SNES);

/*@C
  SNESAddOptionsChecker - Adds an additional function to check for `SNES` options.

  Not Collective

  Input Parameter:
. snescheck - function that checks for options

  Calling sequence of `snescheck`:
. snes - the `SNES` object for which it is checking options

  Level: developer

.seealso: [](ch_snes), `SNES`, `SNESSetFromOptions()`
@*/
PetscErrorCode SNESAddOptionsChecker(PetscErrorCode (*snescheck)(SNES snes))
{
  PetscFunctionBegin;
  PetscCheck(numberofsetfromoptions < MAXSETFROMOPTIONS, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many options checkers, only %d allowed", MAXSETFROMOPTIONS);
  othersetfromoptions[numberofsetfromoptions++] = snescheck;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode SNESSetUpMatrixFree_Private(SNES snes, PetscBool hasOperator, PetscInt version)
{
  Mat          J;
  MatNullSpace nullsp;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);

  if (!snes->vec_func && (snes->jacobian || snes->jacobian_pre)) {
    Mat A = snes->jacobian, B = snes->jacobian_pre;
    PetscCall(MatCreateVecs(A ? A : B, NULL, &snes->vec_func));
  }

  PetscCheck(version == 1 || version == 2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "matrix-free operator routines, only version 1 and 2");
  if (version == 1) {
    PetscCall(MatCreateSNESMF(snes, &J));
    PetscCall(MatMFFDSetOptionsPrefix(J, ((PetscObject)snes)->prefix));
    PetscCall(MatSetFromOptions(J));
    /* TODO: the version 2 code should be merged into the MatCreateSNESMF() and MatCreateMFFD() infrastructure and then removed */
  } else /* if (version == 2) */ {
    PetscCheck(snes->vec_func, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "SNESSetFunction() must be called first");
#if !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_REAL_SINGLE) && !defined(PETSC_USE_REAL___FLOAT128) && !defined(PETSC_USE_REAL___FP16)
    PetscCall(MatCreateSNESMFMore(snes, snes->vec_func, &J));
#else
    SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "matrix-free operator routines (version 2)");
#endif
  }

  /* attach any user provided null space that was on Amat to the newly created matrix-free matrix */
  if (snes->jacobian) {
    PetscCall(MatGetNullSpace(snes->jacobian, &nullsp));
    if (nullsp) PetscCall(MatSetNullSpace(J, nullsp));
  }

  PetscCall(PetscInfo(snes, "Setting default matrix-free operator routines (version %" PetscInt_FMT ")\n", version));
  if (hasOperator) {
    /* This version replaces the user provided Jacobian matrix with a
       matrix-free version but still employs the user-provided preconditioner matrix. */
    PetscCall(SNESSetJacobian(snes, J, NULL, NULL, NULL));
  } else {
    /* This version replaces both the user-provided Jacobian and the user-
     provided preconditioner Jacobian with the default matrix-free version. */
    if (snes->npcside == PC_LEFT && snes->npc) {
      if (!snes->jacobian) PetscCall(SNESSetJacobian(snes, J, NULL, NULL, NULL));
    } else {
      KSP       ksp;
      PC        pc;
      PetscBool match;

      PetscCall(SNESSetJacobian(snes, J, J, MatMFFDComputeJacobian, NULL));
      /* Force no preconditioner */
      PetscCall(SNESGetKSP(snes, &ksp));
      PetscCall(KSPGetPC(ksp, &pc));
      PetscCall(PetscObjectTypeCompareAny((PetscObject)pc, &match, PCSHELL, PCH2OPUS, ""));
      if (!match) {
        PetscCall(PetscInfo(snes, "Setting default matrix-free preconditioner routines\nThat is no preconditioner is being used\n"));
        PetscCall(PCSetType(pc, PCNONE));
      }
    }
  }
  PetscCall(MatDestroy(&J));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode DMRestrictHook_SNESVecSol(DM dmfine, Mat Restrict, Vec Rscale, Mat Inject, DM dmcoarse, void *ctx)
{
  SNES snes = (SNES)ctx;
  Vec  Xfine, Xfine_named = NULL, Xcoarse;

  PetscFunctionBegin;
  if (PetscLogPrintInfo) {
    PetscInt finelevel, coarselevel, fineclevel, coarseclevel;
    PetscCall(DMGetRefineLevel(dmfine, &finelevel));
    PetscCall(DMGetCoarsenLevel(dmfine, &fineclevel));
    PetscCall(DMGetRefineLevel(dmcoarse, &coarselevel));
    PetscCall(DMGetCoarsenLevel(dmcoarse, &coarseclevel));
    PetscCall(PetscInfo(dmfine, "Restricting SNES solution vector from level %" PetscInt_FMT "-%" PetscInt_FMT " to level %" PetscInt_FMT "-%" PetscInt_FMT "\n", finelevel, fineclevel, coarselevel, coarseclevel));
  }
  if (dmfine == snes->dm) Xfine = snes->vec_sol;
  else {
    PetscCall(DMGetNamedGlobalVector(dmfine, "SNESVecSol", &Xfine_named));
    Xfine = Xfine_named;
  }
  PetscCall(DMGetNamedGlobalVector(dmcoarse, "SNESVecSol", &Xcoarse));
  if (Inject) {
    PetscCall(MatRestrict(Inject, Xfine, Xcoarse));
  } else {
    PetscCall(MatRestrict(Restrict, Xfine, Xcoarse));
    PetscCall(VecPointwiseMult(Xcoarse, Xcoarse, Rscale));
  }
  PetscCall(DMRestoreNamedGlobalVector(dmcoarse, "SNESVecSol", &Xcoarse));
  if (Xfine_named) PetscCall(DMRestoreNamedGlobalVector(dmfine, "SNESVecSol", &Xfine_named));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode DMCoarsenHook_SNESVecSol(DM dm, DM dmc, void *ctx)
{
  PetscFunctionBegin;
  PetscCall(DMCoarsenHookAdd(dmc, DMCoarsenHook_SNESVecSol, DMRestrictHook_SNESVecSol, ctx));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* This may be called to rediscretize the operator on levels of linear multigrid. The DM shuffle is so the user can
 * safely call SNESGetDM() in their residual evaluation routine. */
static PetscErrorCode KSPComputeOperators_SNES(KSP ksp, Mat A, Mat B, void *ctx)
{
  SNES  snes = (SNES)ctx;
  Vec   X, Xnamed = NULL;
  DM    dmsave;
  void *ctxsave;
  PetscErrorCode (*jac)(SNES, Vec, Mat, Mat, void *) = NULL;

  PetscFunctionBegin;
  dmsave = snes->dm;
  PetscCall(KSPGetDM(ksp, &snes->dm));
  if (dmsave == snes->dm) X = snes->vec_sol; /* We are on the finest level */
  else { /* We are on a coarser level, this vec was initialized using a DM restrict hook */ PetscCall(DMGetNamedGlobalVector(snes->dm, "SNESVecSol", &Xnamed));
    X = Xnamed;
    PetscCall(SNESGetJacobian(snes, NULL, NULL, &jac, &ctxsave));
    /* If the DM's don't match up, the MatFDColoring context needed for the jacobian won't match up either -- fixit. */
    if (jac == SNESComputeJacobianDefaultColor) PetscCall(SNESSetJacobian(snes, NULL, NULL, SNESComputeJacobianDefaultColor, NULL));
  }
  /* Make sure KSP DM has the Jacobian computation routine */
  {
    DMSNES sdm;

    PetscCall(DMGetDMSNES(snes->dm, &sdm));
    if (!sdm->ops->computejacobian) PetscCall(DMCopyDMSNES(dmsave, snes->dm));
  }
  /* Compute the operators */
  PetscCall(SNESComputeJacobian(snes, X, A, B));
  /* Put the previous context back */
  if (snes->dm != dmsave && jac == SNESComputeJacobianDefaultColor) PetscCall(SNESSetJacobian(snes, NULL, NULL, jac, ctxsave));

  if (Xnamed) PetscCall(DMRestoreNamedGlobalVector(snes->dm, "SNESVecSol", &Xnamed));
  snes->dm = dmsave;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetUpMatrices - ensures that matrices are available for `SNES` Newton-like methods, this is called by `SNESSetUp_XXX()`

  Collective

  Input Parameter:
. snes - `SNES` object to configure

  Level: developer

  Note:
  If the matrices do not yet exist it attempts to create them based on options previously set for the `SNES` such as `-snes_mf`

.seealso: [](ch_snes), `SNES`, `SNESSetUp()`
@*/
PetscErrorCode SNESSetUpMatrices(SNES snes)
{
  DM     dm;
  DMSNES sdm;

  PetscFunctionBegin;
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMGetDMSNES(dm, &sdm));
  if (!snes->jacobian && snes->mf) {
    Mat   J;
    void *functx;
    PetscCall(MatCreateSNESMF(snes, &J));
    PetscCall(MatMFFDSetOptionsPrefix(J, ((PetscObject)snes)->prefix));
    PetscCall(MatSetFromOptions(J));
    PetscCall(SNESGetFunction(snes, NULL, NULL, &functx));
    PetscCall(SNESSetJacobian(snes, J, J, NULL, NULL));
    PetscCall(MatDestroy(&J));
  } else if (snes->mf_operator && !snes->jacobian_pre && !snes->jacobian) {
    Mat J, B;
    PetscCall(MatCreateSNESMF(snes, &J));
    PetscCall(MatMFFDSetOptionsPrefix(J, ((PetscObject)snes)->prefix));
    PetscCall(MatSetFromOptions(J));
    PetscCall(DMCreateMatrix(snes->dm, &B));
    /* sdm->computejacobian was already set to reach here */
    PetscCall(SNESSetJacobian(snes, J, B, NULL, NULL));
    PetscCall(MatDestroy(&J));
    PetscCall(MatDestroy(&B));
  } else if (!snes->jacobian_pre) {
    PetscDS   prob;
    Mat       J, B;
    PetscBool hasPrec = PETSC_FALSE;

    J = snes->jacobian;
    PetscCall(DMGetDS(dm, &prob));
    if (prob) PetscCall(PetscDSHasJacobianPreconditioner(prob, &hasPrec));
    if (J) PetscCall(PetscObjectReference((PetscObject)J));
    else if (hasPrec) PetscCall(DMCreateMatrix(snes->dm, &J));
    PetscCall(DMCreateMatrix(snes->dm, &B));
    PetscCall(SNESSetJacobian(snes, J ? J : B, B, NULL, NULL));
    PetscCall(MatDestroy(&J));
    PetscCall(MatDestroy(&B));
  }
  {
    KSP ksp;
    PetscCall(SNESGetKSP(snes, &ksp));
    PetscCall(KSPSetComputeOperators(ksp, KSPComputeOperators_SNES, snes));
    PetscCall(DMCoarsenHookAdd(snes->dm, DMCoarsenHook_SNESVecSol, DMRestrictHook_SNESVecSol, snes));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode SNESMonitorPauseFinal_Internal(SNES snes)
{
  PetscInt i;

  PetscFunctionBegin;
  if (!snes->pauseFinal) PetscFunctionReturn(PETSC_SUCCESS);
  for (i = 0; i < snes->numbermonitors; ++i) {
    PetscViewerAndFormat *vf = (PetscViewerAndFormat *)snes->monitorcontext[i];
    PetscDraw             draw;
    PetscReal             lpause;

    if (!vf) continue;
    if (vf->lg) {
      if (!PetscCheckPointer(vf->lg, PETSC_OBJECT)) continue;
      if (((PetscObject)vf->lg)->classid != PETSC_DRAWLG_CLASSID) continue;
      PetscCall(PetscDrawLGGetDraw(vf->lg, &draw));
      PetscCall(PetscDrawGetPause(draw, &lpause));
      PetscCall(PetscDrawSetPause(draw, -1.0));
      PetscCall(PetscDrawPause(draw));
      PetscCall(PetscDrawSetPause(draw, lpause));
    } else {
      PetscBool isdraw;

      if (!PetscCheckPointer(vf->viewer, PETSC_OBJECT)) continue;
      if (((PetscObject)vf->viewer)->classid != PETSC_VIEWER_CLASSID) continue;
      PetscCall(PetscObjectTypeCompare((PetscObject)vf->viewer, PETSCVIEWERDRAW, &isdraw));
      if (!isdraw) continue;
      PetscCall(PetscViewerDrawGetDraw(vf->viewer, 0, &draw));
      PetscCall(PetscDrawGetPause(draw, &lpause));
      PetscCall(PetscDrawSetPause(draw, -1.0));
      PetscCall(PetscDrawPause(draw));
      PetscCall(PetscDrawSetPause(draw, lpause));
    }
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESMonitorSetFromOptions - Sets a monitor function and viewer appropriate for the type indicated by the user

  Collective

  Input Parameters:
+ snes         - `SNES` object you wish to monitor
. name         - the monitor type one is seeking
. help         - message indicating what monitoring is done
. manual       - manual page for the monitor
. monitor      - the monitor function
- monitorsetup - a function that is called once ONLY if the user selected this monitor that may set additional features of the `SNES` or `PetscViewer` objects

  Calling sequence of `monitor`:
+ snes - the nonlinear solver context
. it   - the current iteration
. r    - the current function norm
- vf   - a `PetscViewerAndFormat` struct that contains the `PetscViewer` and `PetscViewerFormat` to use

  Calling sequence of `monitorsetup`:
+ snes - the nonlinear solver context
- vf   - a `PetscViewerAndFormat` struct that contains the `PetscViewer` and `PetscViewerFormat` to use

  Options Database Key:
. -name - trigger the use of this monitor in `SNESSetFromOptions()`

  Level: advanced

.seealso: [](ch_snes), `PetscOptionsGetViewer()`, `PetscOptionsGetReal()`, `PetscOptionsHasName()`, `PetscOptionsGetString()`,
          `PetscOptionsGetIntArray()`, `PetscOptionsGetRealArray()`, `PetscOptionsBool()`
          `PetscOptionsInt()`, `PetscOptionsString()`, `PetscOptionsReal()`,
          `PetscOptionsName()`, `PetscOptionsBegin()`, `PetscOptionsEnd()`, `PetscOptionsHeadBegin()`,
          `PetscOptionsStringArray()`, `PetscOptionsRealArray()`, `PetscOptionsScalar()`,
          `PetscOptionsBoolGroupBegin()`, `PetscOptionsBoolGroup()`, `PetscOptionsBoolGroupEnd()`,
          `PetscOptionsFList()`, `PetscOptionsEList()`
@*/
PetscErrorCode SNESMonitorSetFromOptions(SNES snes, const char name[], const char help[], const char manual[], PetscErrorCode (*monitor)(SNES snes, PetscInt it, PetscReal r, PetscViewerAndFormat *vf), PetscErrorCode (*monitorsetup)(SNES snes, PetscViewerAndFormat *vf))
{
  PetscViewer       viewer;
  PetscViewerFormat format;
  PetscBool         flg;

  PetscFunctionBegin;
  PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, name, &viewer, &format, &flg));
  if (flg) {
    PetscViewerAndFormat *vf;
    PetscCall(PetscViewerAndFormatCreate(viewer, format, &vf));
    PetscCall(PetscObjectDereference((PetscObject)viewer));
    if (monitorsetup) PetscCall((*monitorsetup)(snes, vf));
    PetscCall(SNESMonitorSet(snes, (PetscErrorCode(*)(SNES, PetscInt, PetscReal, void *))monitor, vf, (PetscErrorCode(*)(void **))PetscViewerAndFormatDestroy));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode SNESEWSetFromOptions_Private(SNESKSPEW *kctx, PetscBool print_api, MPI_Comm comm, const char *prefix)
{
  const char *api = print_api ? "SNESKSPSetParametersEW" : NULL;

  PetscFunctionBegin;
  PetscOptionsBegin(comm, prefix, "Eisenstat and Walker type forcing options", "KSP");
  PetscCall(PetscOptionsInt("-ksp_ew_version", "Version 1, 2 or 3", api, kctx->version, &kctx->version, NULL));
  PetscCall(PetscOptionsReal("-ksp_ew_rtol0", "0 <= rtol0 < 1", api, kctx->rtol_0, &kctx->rtol_0, NULL));
  kctx->rtol_max = PetscMax(kctx->rtol_0, kctx->rtol_max);
  PetscCall(PetscOptionsReal("-ksp_ew_rtolmax", "0 <= rtolmax < 1", api, kctx->rtol_max, &kctx->rtol_max, NULL));
  PetscCall(PetscOptionsReal("-ksp_ew_gamma", "0 <= gamma <= 1", api, kctx->gamma, &kctx->gamma, NULL));
  PetscCall(PetscOptionsReal("-ksp_ew_alpha", "1 < alpha <= 2", api, kctx->alpha, &kctx->alpha, NULL));
  PetscCall(PetscOptionsReal("-ksp_ew_alpha2", "alpha2", NULL, kctx->alpha2, &kctx->alpha2, NULL));
  PetscCall(PetscOptionsReal("-ksp_ew_threshold", "0 < threshold < 1", api, kctx->threshold, &kctx->threshold, NULL));
  PetscCall(PetscOptionsReal("-ksp_ew_v4_p1", "p1", NULL, kctx->v4_p1, &kctx->v4_p1, NULL));
  PetscCall(PetscOptionsReal("-ksp_ew_v4_p2", "p2", NULL, kctx->v4_p2, &kctx->v4_p2, NULL));
  PetscCall(PetscOptionsReal("-ksp_ew_v4_p3", "p3", NULL, kctx->v4_p3, &kctx->v4_p3, NULL));
  PetscCall(PetscOptionsReal("-ksp_ew_v4_m1", "Scaling when rk-1 in [p2,p3)", NULL, kctx->v4_m1, &kctx->v4_m1, NULL));
  PetscCall(PetscOptionsReal("-ksp_ew_v4_m2", "Scaling when rk-1 in [p3,+infty)", NULL, kctx->v4_m2, &kctx->v4_m2, NULL));
  PetscCall(PetscOptionsReal("-ksp_ew_v4_m3", "Threshold for successive rtol (0.1 in Eq.7)", NULL, kctx->v4_m3, &kctx->v4_m3, NULL));
  PetscCall(PetscOptionsReal("-ksp_ew_v4_m4", "Adaptation scaling (0.5 in Eq.7)", NULL, kctx->v4_m4, &kctx->v4_m4, NULL));
  PetscOptionsEnd();
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetFromOptions - Sets various `SNES` and `KSP` parameters from user options.

  Collective

  Input Parameter:
. snes - the `SNES` context

  Options Database Keys:
+ -snes_type <type>                                                            - newtonls, newtontr, ngmres, ncg, nrichardson, qn, vi, fas, `SNESType` for complete list
. -snes_stol <stol>                                                            - convergence tolerance in terms of the norm of the change in the solution between steps
. -snes_atol <abstol>                                                          - absolute tolerance of residual norm
. -snes_rtol <rtol>                                                            - relative decrease in tolerance norm from initial
. -snes_divergence_tolerance <divtol>                                          - if the residual goes above divtol*rnorm0, exit with divergence
. -snes_force_iteration <force>                                                - force `SNESSolve()` to take at least one iteration
. -snes_max_it <max_it>                                                        - maximum number of iterations
. -snes_max_funcs <max_funcs>                                                  - maximum number of function evaluations
. -snes_max_fail <max_fail>                                                    - maximum number of line search failures allowed before stopping, default is none
. -snes_max_linear_solve_fail                                                  - number of linear solver failures before SNESSolve() stops
. -snes_lag_preconditioner <lag>                                               - how often preconditioner is rebuilt (use -1 to never rebuild)
. -snes_lag_preconditioner_persists <true,false>                               - retains the -snes_lag_preconditioner information across multiple SNESSolve()
. -snes_lag_jacobian <lag>                                                     - how often Jacobian is rebuilt (use -1 to never rebuild)
. -snes_lag_jacobian_persists <true,false>                                     - retains the -snes_lag_jacobian information across multiple SNESSolve()
. -snes_tr_tol <trtol>                                                         - trust region tolerance
. -snes_convergence_test <default,skip,correct_pressure>                       - convergence test in nonlinear solver. default `SNESConvergedDefault()`. skip `SNESConvergedSkip()` means continue iterating until max_it or some other criterion is reached, saving expense of convergence test. correct_pressure `SNESConvergedCorrectPressure()` has special handling of a pressure null space.
. -snes_monitor [ascii][:filename][:viewer format]                             - prints residual norm at each iteration. if no filename given prints to stdout
. -snes_monitor_solution [ascii binary draw][:filename][:viewer format]        - plots solution at each iteration
. -snes_monitor_residual [ascii binary draw][:filename][:viewer format]        - plots residual (not its norm) at each iteration
. -snes_monitor_solution_update [ascii binary draw][:filename][:viewer format] - plots update to solution at each iteration
. -snes_monitor_lg_residualnorm                                                - plots residual norm at each iteration
. -snes_monitor_lg_range                                                       - plots residual norm at each iteration
. -snes_monitor_pause_final                                                    - Pauses all monitor drawing after the solver ends
. -snes_fd                                                                     - use finite differences to compute Jacobian; very slow, only for testing
. -snes_fd_color                                                               - use finite differences with coloring to compute Jacobian
. -snes_mf_ksp_monitor                                                         - if using matrix-free multiply then print h at each `KSP` iteration
. -snes_converged_reason                                                       - print the reason for convergence/divergence after each solve
. -npc_snes_type <type>                                                        - the `SNES` type to use as a nonlinear preconditioner
. -snes_test_jacobian <optional threshold>                                     - compare the user provided Jacobian with one computed via finite differences to check for errors.  If a threshold is given, display only those entries whose difference is greater than the threshold.
- -snes_test_jacobian_view                                                     - display the user provided Jacobian, the finite difference Jacobian and the difference between them to help users detect the location of errors in the user provided Jacobian.

  Options Database Keys for Eisenstat-Walker method:
+ -snes_ksp_ew                       - use Eisenstat-Walker method for determining linear system convergence
. -snes_ksp_ew_version ver           - version of  Eisenstat-Walker method
. -snes_ksp_ew_rtol0 <rtol0>         - Sets rtol0
. -snes_ksp_ew_rtolmax <rtolmax>     - Sets rtolmax
. -snes_ksp_ew_gamma <gamma>         - Sets gamma
. -snes_ksp_ew_alpha <alpha>         - Sets alpha
. -snes_ksp_ew_alpha2 <alpha2>       - Sets alpha2
- -snes_ksp_ew_threshold <threshold> - Sets threshold

  Level: beginner

  Notes:
  To see all options, run your program with the -help option or consult the users manual

  `SNES` supports three approaches for computing (approximate) Jacobians: user provided via `SNESSetJacobian()`, matrix-free using `MatCreateSNESMF()`,
  and computing explicitly with
  finite differences and coloring using `MatFDColoring`. It is also possible to use automatic differentiation and the `MatFDColoring` object.

.seealso: [](ch_snes), `SNESType`, `SNESSetOptionsPrefix()`, `SNESResetFromOptions()`, `SNES`, `SNESCreate()`, `MatCreateSNESMF()`, `MatFDColoring`
@*/
PetscErrorCode SNESSetFromOptions(SNES snes)
{
  PetscBool   flg, pcset, persist, set;
  PetscInt    i, indx, lag, grids;
  const char *deft        = SNESNEWTONLS;
  const char *convtests[] = {"default", "skip", "correct_pressure"};
  SNESKSPEW  *kctx        = NULL;
  char        type[256], monfilename[PETSC_MAX_PATH_LEN], ewprefix[256];
  PCSide      pcside;
  const char *optionsprefix;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCall(SNESRegisterAll());
  PetscObjectOptionsBegin((PetscObject)snes);
  if (((PetscObject)snes)->type_name) deft = ((PetscObject)snes)->type_name;
  PetscCall(PetscOptionsFList("-snes_type", "Nonlinear solver method", "SNESSetType", SNESList, deft, type, 256, &flg));
  if (flg) {
    PetscCall(SNESSetType(snes, type));
  } else if (!((PetscObject)snes)->type_name) {
    PetscCall(SNESSetType(snes, deft));
  }
  PetscCall(PetscOptionsReal("-snes_stol", "Stop if step length less than", "SNESSetTolerances", snes->stol, &snes->stol, NULL));
  PetscCall(PetscOptionsReal("-snes_atol", "Stop if function norm less than", "SNESSetTolerances", snes->abstol, &snes->abstol, NULL));

  PetscCall(PetscOptionsReal("-snes_rtol", "Stop if decrease in function norm less than", "SNESSetTolerances", snes->rtol, &snes->rtol, NULL));
  PetscCall(PetscOptionsReal("-snes_divergence_tolerance", "Stop if residual norm increases by this factor", "SNESSetDivergenceTolerance", snes->divtol, &snes->divtol, NULL));
  PetscCall(PetscOptionsInt("-snes_max_it", "Maximum iterations", "SNESSetTolerances", snes->max_its, &snes->max_its, NULL));
  PetscCall(PetscOptionsInt("-snes_max_funcs", "Maximum function evaluations", "SNESSetTolerances", snes->max_funcs, &snes->max_funcs, NULL));
  PetscCall(PetscOptionsInt("-snes_max_fail", "Maximum nonlinear step failures", "SNESSetMaxNonlinearStepFailures", snes->maxFailures, &snes->maxFailures, NULL));
  PetscCall(PetscOptionsInt("-snes_max_linear_solve_fail", "Maximum failures in linear solves allowed", "SNESSetMaxLinearSolveFailures", snes->maxLinearSolveFailures, &snes->maxLinearSolveFailures, NULL));
  PetscCall(PetscOptionsBool("-snes_error_if_not_converged", "Generate error if solver does not converge", "SNESSetErrorIfNotConverged", snes->errorifnotconverged, &snes->errorifnotconverged, NULL));
  PetscCall(PetscOptionsBool("-snes_force_iteration", "Force SNESSolve() to take at least one iteration", "SNESSetForceIteration", snes->forceiteration, &snes->forceiteration, NULL));
  PetscCall(PetscOptionsBool("-snes_check_jacobian_domain_error", "Check Jacobian domain error after Jacobian evaluation", "SNESCheckJacobianDomainError", snes->checkjacdomainerror, &snes->checkjacdomainerror, NULL));

  PetscCall(PetscOptionsInt("-snes_lag_preconditioner", "How often to rebuild preconditioner", "SNESSetLagPreconditioner", snes->lagpreconditioner, &lag, &flg));
  if (flg) {
    PetscCheck(lag != -1, PetscObjectComm((PetscObject)snes), PETSC_ERR_USER, "Cannot set the lag to -1 from the command line since the preconditioner must be built as least once, perhaps you mean -2");
    PetscCall(SNESSetLagPreconditioner(snes, lag));
  }
  PetscCall(PetscOptionsBool("-snes_lag_preconditioner_persists", "Preconditioner lagging through multiple SNES solves", "SNESSetLagPreconditionerPersists", snes->lagjac_persist, &persist, &flg));
  if (flg) PetscCall(SNESSetLagPreconditionerPersists(snes, persist));
  PetscCall(PetscOptionsInt("-snes_lag_jacobian", "How often to rebuild Jacobian", "SNESSetLagJacobian", snes->lagjacobian, &lag, &flg));
  if (flg) {
    PetscCheck(lag != -1, PetscObjectComm((PetscObject)snes), PETSC_ERR_USER, "Cannot set the lag to -1 from the command line since the Jacobian must be built as least once, perhaps you mean -2");
    PetscCall(SNESSetLagJacobian(snes, lag));
  }
  PetscCall(PetscOptionsBool("-snes_lag_jacobian_persists", "Jacobian lagging through multiple SNES solves", "SNESSetLagJacobianPersists", snes->lagjac_persist, &persist, &flg));
  if (flg) PetscCall(SNESSetLagJacobianPersists(snes, persist));

  PetscCall(PetscOptionsInt("-snes_grid_sequence", "Use grid sequencing to generate initial guess", "SNESSetGridSequence", snes->gridsequence, &grids, &flg));
  if (flg) PetscCall(SNESSetGridSequence(snes, grids));

  PetscCall(PetscOptionsEList("-snes_convergence_test", "Convergence test", "SNESSetConvergenceTest", convtests, PETSC_STATIC_ARRAY_LENGTH(convtests), "default", &indx, &flg));
  if (flg) {
    switch (indx) {
    case 0:
      PetscCall(SNESSetConvergenceTest(snes, SNESConvergedDefault, NULL, NULL));
      break;
    case 1:
      PetscCall(SNESSetConvergenceTest(snes, SNESConvergedSkip, NULL, NULL));
      break;
    case 2:
      PetscCall(SNESSetConvergenceTest(snes, SNESConvergedCorrectPressure, NULL, NULL));
      break;
    }
  }

  PetscCall(PetscOptionsEList("-snes_norm_schedule", "SNES Norm schedule", "SNESSetNormSchedule", SNESNormSchedules, 5, "function", &indx, &flg));
  if (flg) PetscCall(SNESSetNormSchedule(snes, (SNESNormSchedule)indx));

  PetscCall(PetscOptionsEList("-snes_function_type", "SNES Norm schedule", "SNESSetFunctionType", SNESFunctionTypes, 2, "unpreconditioned", &indx, &flg));
  if (flg) PetscCall(SNESSetFunctionType(snes, (SNESFunctionType)indx));

  kctx = (SNESKSPEW *)snes->kspconvctx;

  PetscCall(PetscOptionsBool("-snes_ksp_ew", "Use Eisentat-Walker linear system convergence test", "SNESKSPSetUseEW", snes->ksp_ewconv, &snes->ksp_ewconv, NULL));

  PetscCall(SNESGetOptionsPrefix(snes, &optionsprefix));
  PetscCall(PetscSNPrintf(ewprefix, sizeof(ewprefix), "%s%s", optionsprefix ? optionsprefix : "", "snes_"));
  PetscCall(SNESEWSetFromOptions_Private(kctx, PETSC_TRUE, PetscObjectComm((PetscObject)snes), ewprefix));

  flg = PETSC_FALSE;
  PetscCall(PetscOptionsBool("-snes_monitor_cancel", "Remove all monitors", "SNESMonitorCancel", flg, &flg, &set));
  if (set && flg) PetscCall(SNESMonitorCancel(snes));

  PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor", "Monitor norm of function", "SNESMonitorDefault", SNESMonitorDefault, SNESMonitorDefaultSetUp));
  PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_short", "Monitor norm of function with fewer digits", "SNESMonitorDefaultShort", SNESMonitorDefaultShort, NULL));
  PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_range", "Monitor range of elements of function", "SNESMonitorRange", SNESMonitorRange, NULL));

  PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_ratio", "Monitor ratios of the norm of function for consecutive steps", "SNESMonitorRatio", SNESMonitorRatio, SNESMonitorRatioSetUp));
  PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_field", "Monitor norm of function (split into fields)", "SNESMonitorDefaultField", SNESMonitorDefaultField, NULL));
  PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_solution", "View solution at each iteration", "SNESMonitorSolution", SNESMonitorSolution, NULL));
  PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_solution_update", "View correction at each iteration", "SNESMonitorSolutionUpdate", SNESMonitorSolutionUpdate, NULL));
  PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_residual", "View residual at each iteration", "SNESMonitorResidual", SNESMonitorResidual, NULL));
  PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_jacupdate_spectrum", "Print the change in the spectrum of the Jacobian", "SNESMonitorJacUpdateSpectrum", SNESMonitorJacUpdateSpectrum, NULL));
  PetscCall(SNESMonitorSetFromOptions(snes, "-snes_monitor_fields", "Monitor norm of function per field", "SNESMonitorSet", SNESMonitorFields, NULL));
  PetscCall(PetscOptionsBool("-snes_monitor_pause_final", "Pauses all draw monitors at the final iterate", "SNESMonitorPauseFinal_Internal", PETSC_FALSE, &snes->pauseFinal, NULL));

  PetscCall(PetscOptionsString("-snes_monitor_python", "Use Python function", "SNESMonitorSet", NULL, monfilename, sizeof(monfilename), &flg));
  if (flg) PetscCall(PetscPythonMonitorSet((PetscObject)snes, monfilename));

  flg = PETSC_FALSE;
  PetscCall(PetscOptionsBool("-snes_monitor_lg_range", "Plot function range at each iteration", "SNESMonitorLGRange", flg, &flg, NULL));
  if (flg) {
    PetscViewer ctx;

    PetscCall(PetscViewerDrawOpen(PetscObjectComm((PetscObject)snes), NULL, NULL, PETSC_DECIDE, PETSC_DECIDE, 400, 300, &ctx));
    PetscCall(SNESMonitorSet(snes, SNESMonitorLGRange, ctx, (PetscErrorCode(*)(void **))PetscViewerDestroy));
  }

  flg = PETSC_FALSE;
  PetscCall(PetscOptionsBool("-snes_converged_reason_view_cancel", "Remove all converged reason viewers", "SNESConvergedReasonViewCancel", flg, &flg, &set));
  if (set && flg) PetscCall(SNESConvergedReasonViewCancel(snes));

  flg = PETSC_FALSE;
  PetscCall(PetscOptionsBool("-snes_fd", "Use finite differences (slow) to compute Jacobian", "SNESComputeJacobianDefault", flg, &flg, NULL));
  if (flg) {
    void *functx;
    DM    dm;
    PetscCall(SNESGetDM(snes, &dm));
    PetscCall(DMSNESUnsetJacobianContext_Internal(dm));
    PetscCall(SNESGetFunction(snes, NULL, NULL, &functx));
    PetscCall(SNESSetJacobian(snes, snes->jacobian, snes->jacobian_pre, SNESComputeJacobianDefault, functx));
    PetscCall(PetscInfo(snes, "Setting default finite difference Jacobian matrix\n"));
  }

  flg = PETSC_FALSE;
  PetscCall(PetscOptionsBool("-snes_fd_function", "Use finite differences (slow) to compute function from user objective", "SNESObjectiveComputeFunctionDefaultFD", flg, &flg, NULL));
  if (flg) PetscCall(SNESSetFunction(snes, NULL, SNESObjectiveComputeFunctionDefaultFD, NULL));

  flg = PETSC_FALSE;
  PetscCall(PetscOptionsBool("-snes_fd_color", "Use finite differences with coloring to compute Jacobian", "SNESComputeJacobianDefaultColor", flg, &flg, NULL));
  if (flg) {
    DM dm;
    PetscCall(SNESGetDM(snes, &dm));
    PetscCall(DMSNESUnsetJacobianContext_Internal(dm));
    PetscCall(SNESSetJacobian(snes, snes->jacobian, snes->jacobian_pre, SNESComputeJacobianDefaultColor, NULL));
    PetscCall(PetscInfo(snes, "Setting default finite difference coloring Jacobian matrix\n"));
  }

  flg = PETSC_FALSE;
  PetscCall(PetscOptionsBool("-snes_mf_operator", "Use a Matrix-Free Jacobian with user-provided preconditioner matrix", "SNESSetUseMatrixFree", PETSC_FALSE, &snes->mf_operator, &flg));
  if (flg && snes->mf_operator) {
    snes->mf_operator = PETSC_TRUE;
    snes->mf          = PETSC_TRUE;
  }
  flg = PETSC_FALSE;
  PetscCall(PetscOptionsBool("-snes_mf", "Use a Matrix-Free Jacobian with no preconditioner matrix", "SNESSetUseMatrixFree", PETSC_FALSE, &snes->mf, &flg));
  if (!flg && snes->mf_operator) snes->mf = PETSC_TRUE;
  PetscCall(PetscOptionsInt("-snes_mf_version", "Matrix-Free routines version 1 or 2", "None", snes->mf_version, &snes->mf_version, NULL));

  flg = PETSC_FALSE;
  PetscCall(SNESGetNPCSide(snes, &pcside));
  PetscCall(PetscOptionsEnum("-snes_npc_side", "SNES nonlinear preconditioner side", "SNESSetNPCSide", PCSides, (PetscEnum)pcside, (PetscEnum *)&pcside, &flg));
  if (flg) PetscCall(SNESSetNPCSide(snes, pcside));

#if defined(PETSC_HAVE_SAWS)
  /*
    Publish convergence information using SAWs
  */
  flg = PETSC_FALSE;
  PetscCall(PetscOptionsBool("-snes_monitor_saws", "Publish SNES progress using SAWs", "SNESMonitorSet", flg, &flg, NULL));
  if (flg) {
    void *ctx;
    PetscCall(SNESMonitorSAWsCreate(snes, &ctx));
    PetscCall(SNESMonitorSet(snes, SNESMonitorSAWs, ctx, SNESMonitorSAWsDestroy));
  }
#endif
#if defined(PETSC_HAVE_SAWS)
  {
    PetscBool set;
    flg = PETSC_FALSE;
    PetscCall(PetscOptionsBool("-snes_saws_block", "Block for SAWs at end of SNESSolve", "PetscObjectSAWsBlock", ((PetscObject)snes)->amspublishblock, &flg, &set));
    if (set) PetscCall(PetscObjectSAWsSetBlock((PetscObject)snes, flg));
  }
#endif

  for (i = 0; i < numberofsetfromoptions; i++) PetscCall((*othersetfromoptions[i])(snes));

  PetscTryTypeMethod(snes, setfromoptions, PetscOptionsObject);

  /* process any options handlers added with PetscObjectAddOptionsHandler() */
  PetscCall(PetscObjectProcessOptionsHandlers((PetscObject)snes, PetscOptionsObject));
  PetscOptionsEnd();

  if (snes->linesearch) {
    PetscCall(SNESGetLineSearch(snes, &snes->linesearch));
    PetscCall(SNESLineSearchSetFromOptions(snes->linesearch));
  }

  if (snes->usesksp) {
    if (!snes->ksp) PetscCall(SNESGetKSP(snes, &snes->ksp));
    PetscCall(KSPSetOperators(snes->ksp, snes->jacobian, snes->jacobian_pre));
    PetscCall(KSPSetFromOptions(snes->ksp));
  }

  /* if user has set the SNES NPC type via options database, create it. */
  PetscCall(SNESGetOptionsPrefix(snes, &optionsprefix));
  PetscCall(PetscOptionsHasName(((PetscObject)snes)->options, optionsprefix, "-npc_snes_type", &pcset));
  if (pcset && (!snes->npc)) PetscCall(SNESGetNPC(snes, &snes->npc));
  if (snes->npc) PetscCall(SNESSetFromOptions(snes->npc));
  snes->setfromoptionscalled++;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESResetFromOptions - Sets various `SNES` and `KSP` parameters from user options ONLY if the `SNESSetFromOptions()` was previously called

  Collective

  Input Parameter:
. snes - the `SNES` context

  Level: advanced

.seealso: [](ch_snes), `SNES`, `SNESSetFromOptions()`, `SNESSetOptionsPrefix()`
@*/
PetscErrorCode SNESResetFromOptions(SNES snes)
{
  PetscFunctionBegin;
  if (snes->setfromoptionscalled) PetscCall(SNESSetFromOptions(snes));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESSetComputeApplicationContext - Sets an optional function to compute a user-defined context for
  the nonlinear solvers.

  Logically Collective; No Fortran Support

  Input Parameters:
+ snes    - the `SNES` context
. compute - function to compute the context
- destroy - function to destroy the context

  Calling sequence of `compute`:
+ snes - the `SNES` context
- ctx  - context to be computed

  Calling sequence of `destroy`:
. ctx - context to be computed by `compute()`

  Level: intermediate

  Note:
  This routine is useful if you are performing grid sequencing or using `SNESFAS` and need the appropriate context generated for each level.

  Use `SNESSetApplicationContext()` to see the context immediately

.seealso: [](ch_snes), `SNESGetApplicationContext()`, `SNESSetApplicationContext()`
@*/
PetscErrorCode SNESSetComputeApplicationContext(SNES snes, PetscErrorCode (*compute)(SNES snes, void **ctx), PetscErrorCode (*destroy)(void **ctx))
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  snes->ops->usercompute = compute;
  snes->ops->userdestroy = destroy;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetApplicationContext - Sets the optional user-defined context for the nonlinear solvers.

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
- usrP - optional user context

  Level: intermediate

  Notes:
  Users can provide a context when constructing the `SNES` options and then access it inside their function, Jacobian, or other evaluation function
  with `SNESGetApplicationContext()`

  To provide a function that computes the context for you use `SNESSetComputeApplicationContext()`

  Fortran Note:
  You must write a Fortran interface definition for this
  function that tells Fortran the Fortran derived data type that you are passing in as the `usrP` argument.

.seealso: [](ch_snes), `SNES`, `SNESSetComputeApplicationContext()`, `SNESGetApplicationContext()`
@*/
PetscErrorCode SNESSetApplicationContext(SNES snes, void *usrP)
{
  KSP ksp;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCall(SNESGetKSP(snes, &ksp));
  PetscCall(KSPSetApplicationContext(ksp, usrP));
  snes->user = usrP;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetApplicationContext - Gets the user-defined context for the
  nonlinear solvers set with `SNESGetApplicationContext()` or `SNESSetComputeApplicationContext()`

  Not Collective

  Input Parameter:
. snes - `SNES` context

  Output Parameter:
. usrP - user context

  Level: intermediate

  Fortran Note:
  You must write a Fortran interface definition for this
  function that tells Fortran the Fortran derived data type that you are passing in as the `usrP` argument.

.seealso: [](ch_snes), `SNESSetApplicationContext()`, `SNESSetComputeApplicationContext()`
@*/
PetscErrorCode SNESGetApplicationContext(SNES snes, void *usrP)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  *(void **)usrP = snes->user;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetUseMatrixFree - indicates that `SNES` should use matrix-free finite difference matrix-vector products to apply the Jacobian.

  Logically Collective

  Input Parameters:
+ snes        - `SNES` context
. mf_operator - use matrix-free only for the Amat used by `SNESSetJacobian()`, this means the user provided Pmat will continue to be used
- mf          - use matrix-free for both the Amat and Pmat used by `SNESSetJacobian()`, both the Amat and Pmat set in `SNESSetJacobian()` will be ignored. With
   this option no matrix-element based preconditioners can be used in the linear solve since the matrix won't be explicitly available

  Options Database Keys:
+ -snes_mf_operator - use matrix-free only for the mat operator
. -snes_mf          - use matrix-free for both the mat and pmat operator
. -snes_fd_color    - compute the Jacobian via coloring and finite differences.
- -snes_fd          - compute the Jacobian via finite differences (slow)

  Level: intermediate

  Note:
  `SNES` supports three approaches for computing (approximate) Jacobians: user provided via `SNESSetJacobian()`, matrix-free using `MatCreateSNESMF()`,
  and computing explicitly with
  finite differences and coloring using `MatFDColoring`. It is also possible to use automatic differentiation and the `MatFDColoring` object.

.seealso: [](ch_snes), `SNES`, `SNESGetUseMatrixFree()`, `MatCreateSNESMF()`, `SNESComputeJacobianDefaultColor()`, `MatFDColoring`
@*/
PetscErrorCode SNESSetUseMatrixFree(SNES snes, PetscBool mf_operator, PetscBool mf)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidLogicalCollectiveBool(snes, mf_operator, 2);
  PetscValidLogicalCollectiveBool(snes, mf, 3);
  snes->mf          = mf_operator ? PETSC_TRUE : mf;
  snes->mf_operator = mf_operator;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetUseMatrixFree - indicates if the `SNES` uses matrix-free finite difference matrix vector products to apply the Jacobian.

  Not Collective, but the resulting flags will be the same on all MPI processes

  Input Parameter:
. snes - `SNES` context

  Output Parameters:
+ mf_operator - use matrix-free only for the Amat used by `SNESSetJacobian()`, this means the user provided Pmat will continue to be used
- mf          - use matrix-free for both the Amat and Pmat used by `SNESSetJacobian()`, both the Amat and Pmat set in `SNESSetJacobian()` will be ignored

  Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESSetUseMatrixFree()`, `MatCreateSNESMF()`
@*/
PetscErrorCode SNESGetUseMatrixFree(SNES snes, PetscBool *mf_operator, PetscBool *mf)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (mf) *mf = snes->mf;
  if (mf_operator) *mf_operator = snes->mf_operator;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetIterationNumber - Gets the number of nonlinear iterations completed in the current or most recent `SNESSolve()`

  Not Collective

  Input Parameter:
. snes - `SNES` context

  Output Parameter:
. iter - iteration number

  Level: intermediate

  Notes:
  For example, during the computation of iteration 2 this would return 1.

  This is useful for using lagged Jacobians (where one does not recompute the
  Jacobian at each `SNES` iteration). For example, the code
.vb
      ierr = SNESGetIterationNumber(snes,&it);
      if (!(it % 2)) {
        [compute Jacobian here]
      }
.ve
  can be used in your function that computes the Jacobian to cause the Jacobian to be
  recomputed every second `SNES` iteration. See also `SNESSetLagJacobian()`

  After the `SNES` solve is complete this will return the number of nonlinear iterations used.

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetLagJacobian()`, `SNESGetLinearSolveIterations()`, `SNESSetMonitor()`
@*/
PetscErrorCode SNESGetIterationNumber(SNES snes, PetscInt *iter)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(iter, 2);
  *iter = snes->iter;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetIterationNumber - Sets the current iteration number.

  Not Collective

  Input Parameters:
+ snes - `SNES` context
- iter - iteration number

  Level: developer

  Note:
  This should only be called inside a `SNES` nonlinear solver.

.seealso: [](ch_snes), `SNESGetLinearSolveIterations()`
@*/
PetscErrorCode SNESSetIterationNumber(SNES snes, PetscInt iter)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCall(PetscObjectSAWsTakeAccess((PetscObject)snes));
  snes->iter = iter;
  PetscCall(PetscObjectSAWsGrantAccess((PetscObject)snes));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetNonlinearStepFailures - Gets the number of unsuccessful steps
  attempted by the nonlinear solver in the current or most recent `SNESSolve()` .

  Not Collective

  Input Parameter:
. snes - `SNES` context

  Output Parameter:
. nfails - number of unsuccessful steps attempted

  Level: intermediate

  Note:
  This counter is reset to zero for each successive call to `SNESSolve()`.

.seealso: [](ch_snes), `SNES`, `SNESGetMaxLinearSolveFailures()`, `SNESGetLinearSolveIterations()`, `SNESSetMaxLinearSolveFailures()`, `SNESGetLinearSolveFailures()`,
          `SNESSetMaxNonlinearStepFailures()`, `SNESGetMaxNonlinearStepFailures()`
@*/
PetscErrorCode SNESGetNonlinearStepFailures(SNES snes, PetscInt *nfails)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(nfails, 2);
  *nfails = snes->numFailures;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetMaxNonlinearStepFailures - Sets the maximum number of unsuccessful steps
  attempted by the nonlinear solver before it gives up and returns unconverged or generates an error

  Not Collective

  Input Parameters:
+ snes     - `SNES` context
- maxFails - maximum of unsuccessful steps

  Options Database Key:
. -snes_max_fail <n> - maximum number of unsuccessful steps allowed

  Level: intermediate

  Developer Note:
  The options database key is wrong for this function name

.seealso: [](ch_snes), `SNESSetErrorIfNotConverged()`, `SNESGetMaxLinearSolveFailures()`, `SNESGetLinearSolveIterations()`, `SNESSetMaxLinearSolveFailures()`, `SNESGetLinearSolveFailures()`,
          `SNESGetMaxNonlinearStepFailures()`, `SNESGetNonlinearStepFailures()`
@*/
PetscErrorCode SNESSetMaxNonlinearStepFailures(SNES snes, PetscInt maxFails)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  snes->maxFailures = maxFails;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetMaxNonlinearStepFailures - Gets the maximum number of unsuccessful steps
  attempted by the nonlinear solver before it gives up and returns unconverged or generates an error

  Not Collective

  Input Parameter:
. snes - `SNES` context

  Output Parameter:
. maxFails - maximum of unsuccessful steps

  Level: intermediate

.seealso: [](ch_snes), `SNESSetErrorIfNotConverged()`, `SNESGetMaxLinearSolveFailures()`, `SNESGetLinearSolveIterations()`, `SNESSetMaxLinearSolveFailures()`, `SNESGetLinearSolveFailures()`,
          `SNESSetMaxNonlinearStepFailures()`, `SNESGetNonlinearStepFailures()`
@*/
PetscErrorCode SNESGetMaxNonlinearStepFailures(SNES snes, PetscInt *maxFails)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(maxFails, 2);
  *maxFails = snes->maxFailures;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetNumberFunctionEvals - Gets the number of user provided function evaluations
  done by the `SNES` object in the current or most recent `SNESSolve()`

  Not Collective

  Input Parameter:
. snes - `SNES` context

  Output Parameter:
. nfuncs - number of evaluations

  Level: intermediate

  Note:
  Reset every time `SNESSolve()` is called unless `SNESSetCountersReset()` is used.

.seealso: [](ch_snes), `SNES`, `SNESGetMaxLinearSolveFailures()`, `SNESGetLinearSolveIterations()`, `SNESSetMaxLinearSolveFailures()`, `SNESGetLinearSolveFailures()`, `SNESSetCountersReset()`
@*/
PetscErrorCode SNESGetNumberFunctionEvals(SNES snes, PetscInt *nfuncs)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(nfuncs, 2);
  *nfuncs = snes->nfuncs;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetLinearSolveFailures - Gets the number of failed (non-converged)
  linear solvers in the current or most recent `SNESSolve()`

  Not Collective

  Input Parameter:
. snes - `SNES` context

  Output Parameter:
. nfails - number of failed solves

  Options Database Key:
. -snes_max_linear_solve_fail <num> - The number of failures before the solve is terminated

  Level: intermediate

  Note:
  This counter is reset to zero for each successive call to `SNESSolve()`.

.seealso: [](ch_snes), `SNESGetMaxLinearSolveFailures()`, `SNESGetLinearSolveIterations()`, `SNESSetMaxLinearSolveFailures()`
@*/
PetscErrorCode SNESGetLinearSolveFailures(SNES snes, PetscInt *nfails)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(nfails, 2);
  *nfails = snes->numLinearSolveFailures;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetMaxLinearSolveFailures - the number of failed linear solve attempts
  allowed before `SNES` returns with a diverged reason of `SNES_DIVERGED_LINEAR_SOLVE`

  Logically Collective

  Input Parameters:
+ snes     - `SNES` context
- maxFails - maximum allowed linear solve failures

  Options Database Key:
. -snes_max_linear_solve_fail <num> - The number of failures before the solve is terminated

  Level: intermediate

  Note:
  By default this is 0; that is `SNES` returns on the first failed linear solve

  Developer Note:
  The options database key is wrong for this function name

.seealso: [](ch_snes), `SNESSetErrorIfNotConverged()`, `SNESGetLinearSolveFailures()`, `SNESGetMaxLinearSolveFailures()`, `SNESGetLinearSolveIterations()`
@*/
PetscErrorCode SNESSetMaxLinearSolveFailures(SNES snes, PetscInt maxFails)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidLogicalCollectiveInt(snes, maxFails, 2);
  snes->maxLinearSolveFailures = maxFails;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetMaxLinearSolveFailures - gets the maximum number of linear solve failures that
  are allowed before `SNES` returns as unsuccessful

  Not Collective

  Input Parameter:
. snes - `SNES` context

  Output Parameter:
. maxFails - maximum of unsuccessful solves allowed

  Level: intermediate

  Note:
  By default this is 1; that is `SNES` returns on the first failed linear solve

.seealso: [](ch_snes), `SNESSetErrorIfNotConverged()`, `SNESGetLinearSolveFailures()`, `SNESGetLinearSolveIterations()`, `SNESSetMaxLinearSolveFailures()`,
@*/
PetscErrorCode SNESGetMaxLinearSolveFailures(SNES snes, PetscInt *maxFails)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(maxFails, 2);
  *maxFails = snes->maxLinearSolveFailures;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetLinearSolveIterations - Gets the total number of linear iterations
  used by the nonlinear solver in the most recent `SNESSolve()`

  Not Collective

  Input Parameter:
. snes - `SNES` context

  Output Parameter:
. lits - number of linear iterations

  Level: intermediate

  Notes:
  This counter is reset to zero for each successive call to `SNESSolve()` unless `SNESSetCountersReset()` is used.

  If the linear solver fails inside the `SNESSolve()` the iterations for that call to the linear solver are not included. If you wish to count them
  then call `KSPGetIterationNumber()` after the failed solve.

.seealso: [](ch_snes), `SNES`, `SNESGetIterationNumber()`, `SNESGetLinearSolveFailures()`, `SNESGetMaxLinearSolveFailures()`, `SNESSetCountersReset()`
@*/
PetscErrorCode SNESGetLinearSolveIterations(SNES snes, PetscInt *lits)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(lits, 2);
  *lits = snes->linear_its;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetCountersReset - Sets whether or not the counters for linear iterations and function evaluations
  are reset every time `SNESSolve()` is called.

  Logically Collective

  Input Parameters:
+ snes  - `SNES` context
- reset - whether to reset the counters or not, defaults to `PETSC_TRUE`

  Level: developer

.seealso: [](ch_snes), `SNESGetNumberFunctionEvals()`, `SNESGetLinearSolveIterations()`, `SNESGetNPC()`
@*/
PetscErrorCode SNESSetCountersReset(SNES snes, PetscBool reset)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidLogicalCollectiveBool(snes, reset, 2);
  snes->counters_reset = reset;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetKSP - Sets a `KSP` context for the `SNES` object to use

  Not Collective, but the `SNES` and `KSP` objects must live on the same `MPI_Comm`

  Input Parameters:
+ snes - the `SNES` context
- ksp  - the `KSP` context

  Level: developer

  Notes:
  The `SNES` object already has its `KSP` object, you can obtain with `SNESGetKSP()`
  so this routine is rarely needed.

  The `KSP` object that is already in the `SNES` object has its reference count
  decreased by one when this is called.

.seealso: [](ch_snes), `SNES`, `KSP`, `KSPGetPC()`, `SNESCreate()`, `KSPCreate()`
@*/
PetscErrorCode SNESSetKSP(SNES snes, KSP ksp)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidHeaderSpecific(ksp, KSP_CLASSID, 2);
  PetscCheckSameComm(snes, 1, ksp, 2);
  PetscCall(PetscObjectReference((PetscObject)ksp));
  if (snes->ksp) PetscCall(PetscObjectDereference((PetscObject)snes->ksp));
  snes->ksp = ksp;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESCreate - Creates a nonlinear solver context used to manage a set of nonlinear solves

  Collective

  Input Parameter:
. comm - MPI communicator

  Output Parameter:
. outsnes - the new `SNES` context

  Options Database Keys:
+ -snes_mf          - Activates default matrix-free Jacobian-vector products, and no preconditioning matrix
. -snes_mf_operator - Activates default matrix-free Jacobian-vector products, and a user-provided preconditioning matrix
               as set by `SNESSetJacobian()`
. -snes_fd_coloring - uses a relative fast computation of the Jacobian using finite differences and a graph coloring
- -snes_fd          - Uses (slow!) finite differences to compute Jacobian

  Level: beginner

  Developer Notes:
  `SNES` always creates a `KSP` object even though many `SNES` methods do not use it. This is
  unfortunate and should be fixed at some point. The flag snes->usesksp indicates if the
  particular method does use `KSP` and regulates if the information about the `KSP` is printed
  in `SNESView()`.

  `TSSetFromOptions()` does call `SNESSetFromOptions()` which can lead to users being confused
  by help messages about meaningless `SNES` options.

  `SNES` always creates the snes->kspconvctx even though it is used by only one type. This should be fixed.

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESDestroy()`, `SNESSetLagPreconditioner()`, `SNESSetLagJacobian()`
@*/
PetscErrorCode SNESCreate(MPI_Comm comm, SNES *outsnes)
{
  SNES       snes;
  SNESKSPEW *kctx;

  PetscFunctionBegin;
  PetscAssertPointer(outsnes, 2);
  *outsnes = NULL;
  PetscCall(SNESInitializePackage());

  PetscCall(PetscHeaderCreate(snes, SNES_CLASSID, "SNES", "Nonlinear solver", "SNES", comm, SNESDestroy, SNESView));

  snes->ops->converged       = SNESConvergedDefault;
  snes->usesksp              = PETSC_TRUE;
  snes->tolerancesset        = PETSC_FALSE;
  snes->max_its              = 50;
  snes->max_funcs            = 10000;
  snes->norm                 = 0.0;
  snes->xnorm                = 0.0;
  snes->ynorm                = 0.0;
  snes->normschedule         = SNES_NORM_ALWAYS;
  snes->functype             = SNES_FUNCTION_DEFAULT;
  snes->rtol                 = PetscDefined(USE_REAL_SINGLE) ? 1.e-5 : 1.e-8;
  snes->ttol                 = 0.0;
  snes->abstol               = PetscDefined(USE_REAL_SINGLE) ? 1.e-25 : 1.e-50;
  snes->stol                 = PetscDefined(USE_REAL_SINGLE) ? 1.e-5 : 1.e-8;
  snes->deltatol             = PetscDefined(USE_REAL_SINGLE) ? 1.e-6 : 1.e-12;
  snes->divtol               = 1.e4;
  snes->rnorm0               = 0;
  snes->nfuncs               = 0;
  snes->numFailures          = 0;
  snes->maxFailures          = 1;
  snes->linear_its           = 0;
  snes->lagjacobian          = 1;
  snes->jac_iter             = 0;
  snes->lagjac_persist       = PETSC_FALSE;
  snes->lagpreconditioner    = 1;
  snes->pre_iter             = 0;
  snes->lagpre_persist       = PETSC_FALSE;
  snes->numbermonitors       = 0;
  snes->numberreasonviews    = 0;
  snes->data                 = NULL;
  snes->setupcalled          = PETSC_FALSE;
  snes->ksp_ewconv           = PETSC_FALSE;
  snes->nwork                = 0;
  snes->work                 = NULL;
  snes->nvwork               = 0;
  snes->vwork                = NULL;
  snes->conv_hist_len        = 0;
  snes->conv_hist_max        = 0;
  snes->conv_hist            = NULL;
  snes->conv_hist_its        = NULL;
  snes->conv_hist_reset      = PETSC_TRUE;
  snes->counters_reset       = PETSC_TRUE;
  snes->vec_func_init_set    = PETSC_FALSE;
  snes->reason               = SNES_CONVERGED_ITERATING;
  snes->npcside              = PC_RIGHT;
  snes->setfromoptionscalled = 0;

  snes->mf          = PETSC_FALSE;
  snes->mf_operator = PETSC_FALSE;
  snes->mf_version  = 1;

  snes->numLinearSolveFailures = 0;
  snes->maxLinearSolveFailures = 1;

  snes->vizerotolerance     = 1.e-8;
  snes->checkjacdomainerror = PetscDefined(USE_DEBUG) ? PETSC_TRUE : PETSC_FALSE;

  /* Set this to true if the implementation of SNESSolve_XXX does compute the residual at the final solution. */
  snes->alwayscomputesfinalresidual = PETSC_FALSE;

  /* Create context to compute Eisenstat-Walker relative tolerance for KSP */
  PetscCall(PetscNew(&kctx));

  snes->kspconvctx  = (void *)kctx;
  kctx->version     = 2;
  kctx->rtol_0      = 0.3; /* Eisenstat and Walker suggest rtol_0=.5, but
                             this was too large for some test cases */
  kctx->rtol_last   = 0.0;
  kctx->rtol_max    = 0.9;
  kctx->gamma       = 1.0;
  kctx->alpha       = 0.5 * (1.0 + PetscSqrtReal(5.0));
  kctx->alpha2      = kctx->alpha;
  kctx->threshold   = 0.1;
  kctx->lresid_last = 0.0;
  kctx->norm_last   = 0.0;

  kctx->rk_last     = 0.0;
  kctx->rk_last_2   = 0.0;
  kctx->rtol_last_2 = 0.0;
  kctx->v4_p1       = 0.1;
  kctx->v4_p2       = 0.4;
  kctx->v4_p3       = 0.7;
  kctx->v4_m1       = 0.8;
  kctx->v4_m2       = 0.5;
  kctx->v4_m3       = 0.1;
  kctx->v4_m4       = 0.5;

  *outsnes = snes;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*MC
    SNESFunction - Functional form used to convey the nonlinear function to `SNES` in `SNESSetFunction()`

     Synopsis:
     #include "petscsnes.h"
     PetscErrorCode SNESFunction(SNES snes,Vec x,Vec f,void *ctx);

     Collective

     Input Parameters:
+     snes - the `SNES` context
.     x    - state at which to evaluate residual
-     ctx     - optional user-defined function context, passed in with `SNESSetFunction()`

     Output Parameter:
.     f  - vector to put residual (function value)

   Level: intermediate

.seealso: [](ch_snes), `SNESSetFunction()`, `SNESGetFunction()`
M*/

/*@C
  SNESSetFunction - Sets the function evaluation routine and function
  vector for use by the `SNES` routines in solving systems of nonlinear
  equations.

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
. r    - vector to store function values, may be `NULL`
. f    - function evaluation routine;  for calling sequence see `SNESFunction`
- ctx  - [optional] user-defined context for private data for the
         function evaluation routine (may be `NULL`)

  Level: beginner

.seealso: [](ch_snes), `SNES`, `SNESGetFunction()`, `SNESComputeFunction()`, `SNESSetJacobian()`, `SNESSetPicard()`, `SNESFunction`
@*/
PetscErrorCode SNESSetFunction(SNES snes, Vec r, PetscErrorCode (*f)(SNES, Vec, Vec, void *), void *ctx)
{
  DM dm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (r) {
    PetscValidHeaderSpecific(r, VEC_CLASSID, 2);
    PetscCheckSameComm(snes, 1, r, 2);
    PetscCall(PetscObjectReference((PetscObject)r));
    PetscCall(VecDestroy(&snes->vec_func));
    snes->vec_func = r;
  }
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMSNESSetFunction(dm, f, ctx));
  if (f == SNESPicardComputeFunction) PetscCall(DMSNESSetMFFunction(dm, SNESPicardComputeMFFunction, ctx));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESSetInitialFunction - Set an already computed function evaluation at the initial guess to be reused by `SNESSolve()`.

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
- f    - vector to store function value

  Level: developer

  Notes:
  This should not be modified during the solution procedure.

  This is used extensively in the `SNESFAS` hierarchy and in nonlinear preconditioning.

.seealso: [](ch_snes), `SNES`, `SNESFAS`, `SNESSetFunction()`, `SNESComputeFunction()`, `SNESSetInitialFunctionNorm()`
@*/
PetscErrorCode SNESSetInitialFunction(SNES snes, Vec f)
{
  Vec vec_func;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidHeaderSpecific(f, VEC_CLASSID, 2);
  PetscCheckSameComm(snes, 1, f, 2);
  if (snes->npcside == PC_LEFT && snes->functype == SNES_FUNCTION_PRECONDITIONED) {
    snes->vec_func_init_set = PETSC_FALSE;
    PetscFunctionReturn(PETSC_SUCCESS);
  }
  PetscCall(SNESGetFunction(snes, &vec_func, NULL, NULL));
  PetscCall(VecCopy(f, vec_func));

  snes->vec_func_init_set = PETSC_TRUE;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetNormSchedule - Sets the `SNESNormSchedule` used in convergence and monitoring
  of the `SNES` method, when norms are computed in the solving process

  Logically Collective

  Input Parameters:
+ snes         - the `SNES` context
- normschedule - the frequency of norm computation

  Options Database Key:
. -snes_norm_schedule <none, always, initialonly, finalonly, initialfinalonly> - set the schedule

  Level: advanced

  Notes:
  Only certain `SNES` methods support certain `SNESNormSchedules`.  Most require evaluation
  of the nonlinear function and the taking of its norm at every iteration to
  even ensure convergence at all.  However, methods such as custom Gauss-Seidel methods
  `SNESNGS` and the like do not require the norm of the function to be computed, and therefore
  may either be monitored for convergence or not.  As these are often used as nonlinear
  preconditioners, monitoring the norm of their error is not a useful enterprise within
  their solution.

.seealso: [](ch_snes), `SNESNormSchedule`, `SNESGetNormSchedule()`, `SNESComputeFunction()`, `VecNorm()`, `SNESSetFunction()`, `SNESSetInitialFunction()`
@*/
PetscErrorCode SNESSetNormSchedule(SNES snes, SNESNormSchedule normschedule)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  snes->normschedule = normschedule;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetNormSchedule - Gets the `SNESNormSchedule` used in convergence and monitoring
  of the `SNES` method.

  Logically Collective

  Input Parameters:
+ snes         - the `SNES` context
- normschedule - the type of the norm used

  Level: advanced

.seealso: [](ch_snes), `SNES`, `SNESSetNormSchedule()`, `SNESComputeFunction()`, `VecNorm()`, `SNESSetFunction()`, `SNESSetInitialFunction()`, `SNESNormSchedule`
@*/
PetscErrorCode SNESGetNormSchedule(SNES snes, SNESNormSchedule *normschedule)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  *normschedule = snes->normschedule;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetFunctionNorm - Sets the last computed residual norm.

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
- norm - the value of the norm

  Level: developer

.seealso: [](ch_snes), `SNES`, `SNESGetNormSchedule()`, `SNESComputeFunction()`, `VecNorm()`, `SNESSetFunction()`, `SNESSetInitialFunction()`, `SNESNormSchedule`
@*/
PetscErrorCode SNESSetFunctionNorm(SNES snes, PetscReal norm)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  snes->norm = norm;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetFunctionNorm - Gets the last computed norm of the residual

  Not Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. norm - the last computed residual norm

  Level: developer

.seealso: [](ch_snes), `SNES`, `SNESSetNormSchedule()`, `SNESComputeFunction()`, `VecNorm()`, `SNESSetFunction()`, `SNESSetInitialFunction()`, `SNESNormSchedule`
@*/
PetscErrorCode SNESGetFunctionNorm(SNES snes, PetscReal *norm)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(norm, 2);
  *norm = snes->norm;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetUpdateNorm - Gets the last computed norm of the solution update

  Not Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. ynorm - the last computed update norm

  Level: developer

  Note:
  The new solution is the current solution plus the update, so this norm is an indication of the size of the update

.seealso: [](ch_snes), `SNES`, `SNESSetNormSchedule()`, `SNESComputeFunction()`, `SNESGetFunctionNorm()`
@*/
PetscErrorCode SNESGetUpdateNorm(SNES snes, PetscReal *ynorm)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(ynorm, 2);
  *ynorm = snes->ynorm;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetSolutionNorm - Gets the last computed norm of the solution

  Not Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. xnorm - the last computed solution norm

  Level: developer

.seealso: [](ch_snes), `SNES`, `SNESSetNormSchedule()`, `SNESComputeFunction()`, `SNESGetFunctionNorm()`, `SNESGetUpdateNorm()`
@*/
PetscErrorCode SNESGetSolutionNorm(SNES snes, PetscReal *xnorm)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(xnorm, 2);
  *xnorm = snes->xnorm;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESSetFunctionType - Sets the `SNESFunctionType`
  of the `SNES` method.

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
- type - the function type

  Level: developer

  Values of the function type\:
+  `SNES_FUNCTION_DEFAULT` - the default for the given `SNESType`
.  `SNES_FUNCTION_UNPRECONDITIONED` - an unpreconditioned function evaluation (this is the function provided with `SNESSetFunction()`
-  `SNES_FUNCTION_PRECONDITIONED` - a transformation of the function provided with `SNESSetFunction()`

  Note:
  Different `SNESType`s use this value in different ways

.seealso: [](ch_snes), `SNES`, `SNESFunctionType`, `SNESGetNormSchedule()`, `SNESComputeFunction()`, `VecNorm()`, `SNESSetFunction()`, `SNESSetInitialFunction()`, `SNESNormSchedule`
@*/
PetscErrorCode SNESSetFunctionType(SNES snes, SNESFunctionType type)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  snes->functype = type;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESGetFunctionType - Gets the `SNESFunctionType` used in convergence and monitoring set with `SNESSetFunctionType()`
  of the SNES method.

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
- type - the type of the function evaluation, see `SNESSetFunctionType()`

  Level: advanced

.seealso: [](ch_snes), `SNESSetFunctionType()`, `SNESFunctionType`, `SNESSetNormSchedule()`, `SNESComputeFunction()`, `VecNorm()`, `SNESSetFunction()`, `SNESSetInitialFunction()`, `SNESNormSchedule`
@*/
PetscErrorCode SNESGetFunctionType(SNES snes, SNESFunctionType *type)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  *type = snes->functype;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESSetNGS - Sets the user nonlinear Gauss-Seidel routine for
  use with composed nonlinear solvers.

  Input Parameters:
+ snes - the `SNES` context
. f    - function evaluation routine to apply Gauss-Seidel
- ctx  - [optional] user-defined context for private data for the
            smoother evaluation routine (may be `NULL`)

  Calling sequence of `f`:
+ snes - the `SNES` context
. X    - the current solution
. B    - the right hand side vector (which may be `NULL`)
- ctx  - a user provided context

  Level: intermediate

  Note:
  The `SNESNGS` routines are used by the composed nonlinear solver to generate
  a problem appropriate update to the solution, particularly `SNESFAS`.

.seealso: [](ch_snes), `SNESGetNGS()`, `SNESNCG`, `SNESGetFunction()`, `SNESComputeNGS()`
@*/
PetscErrorCode SNESSetNGS(SNES snes, PetscErrorCode (*f)(SNES snes, Vec X, Vec B, void *ctx), void *ctx)
{
  DM dm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMSNESSetNGS(dm, f, ctx));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*
     This is used for -snes_mf_operator; it uses a duplicate of snes->jacobian_pre because snes->jacobian_pre cannot be
   changed during the KSPSolve()
*/
PetscErrorCode SNESPicardComputeMFFunction(SNES snes, Vec x, Vec f, void *ctx)
{
  DM     dm;
  DMSNES sdm;

  PetscFunctionBegin;
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMGetDMSNES(dm, &sdm));
  /*  A(x)*x - b(x) */
  if (sdm->ops->computepfunction) {
    PetscCallBack("SNES Picard callback function", (*sdm->ops->computepfunction)(snes, x, f, sdm->pctx));
    PetscCall(VecScale(f, -1.0));
    /* Cannot share nonzero pattern because of the possible use of SNESComputeJacobianDefault() */
    if (!snes->picard) PetscCall(MatDuplicate(snes->jacobian_pre, MAT_DO_NOT_COPY_VALUES, &snes->picard));
    PetscCallBack("SNES Picard callback Jacobian", (*sdm->ops->computepjacobian)(snes, x, snes->picard, snes->picard, sdm->pctx));
    PetscCall(MatMultAdd(snes->picard, x, f, f));
  } else {
    PetscCallBack("SNES Picard callback Jacobian", (*sdm->ops->computepjacobian)(snes, x, snes->picard, snes->picard, sdm->pctx));
    PetscCall(MatMult(snes->picard, x, f));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode SNESPicardComputeFunction(SNES snes, Vec x, Vec f, void *ctx)
{
  DM     dm;
  DMSNES sdm;

  PetscFunctionBegin;
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMGetDMSNES(dm, &sdm));
  /*  A(x)*x - b(x) */
  if (sdm->ops->computepfunction) {
    PetscCallBack("SNES Picard callback function", (*sdm->ops->computepfunction)(snes, x, f, sdm->pctx));
    PetscCall(VecScale(f, -1.0));
    PetscCallBack("SNES Picard callback Jacobian", (*sdm->ops->computepjacobian)(snes, x, snes->jacobian, snes->jacobian_pre, sdm->pctx));
    PetscCall(MatMultAdd(snes->jacobian_pre, x, f, f));
  } else {
    PetscCallBack("SNES Picard callback Jacobian", (*sdm->ops->computepjacobian)(snes, x, snes->jacobian, snes->jacobian_pre, sdm->pctx));
    PetscCall(MatMult(snes->jacobian_pre, x, f));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode SNESPicardComputeJacobian(SNES snes, Vec x1, Mat J, Mat B, void *ctx)
{
  PetscFunctionBegin;
  /* the jacobian matrix should be pre-filled in SNESPicardComputeFunction */
  /* must assembly if matrix-free to get the last SNES solution */
  PetscCall(MatAssemblyBegin(J, MAT_FINAL_ASSEMBLY));
  PetscCall(MatAssemblyEnd(J, MAT_FINAL_ASSEMBLY));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESSetPicard - Use `SNES` to solve the system A(x) x = bp(x) + b via a Picard type iteration (Picard linearization)

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
. r    - vector to store function values, may be `NULL`
. bp   - function evaluation routine, may be `NULL`, for the calling sequence see `SNESJacobianFunction`
. Amat - matrix with which A(x) x - bp(x) - b is to be computed
. Pmat - matrix from which preconditioner is computed (usually the same as `Amat`)
. J    - function to compute matrix values, for the calling sequence see `SNESJacobianFunction`
- ctx  - [optional] user-defined context for private data for the function evaluation routine (may be `NULL`)

  Level: intermediate

  Notes:
  It is often better to provide the nonlinear function F() and some approximation to its Jacobian directly and use
  an approximate Newton solver. This interface is provided to allow porting/testing a previous Picard based code in PETSc before converting it to approximate Newton.

  One can call `SNESSetPicard()` or `SNESSetFunction()` (and possibly `SNESSetJacobian()`) but cannot call both

  Solves the equation A(x) x = bp(x) - b via the defect correction algorithm A(x^{n}) (x^{n+1} - x^{n}) = bp(x^{n}) + b - A(x^{n})x^{n}.
  When an exact solver is used this corresponds to the "classic" Picard A(x^{n}) x^{n+1} = bp(x^{n}) + b iteration.

  Run with `-snes_mf_operator` to solve the system with Newton's method using A(x^{n}) to construct the preconditioner.

  We implement the defect correction form of the Picard iteration because it converges much more generally when inexact linear solvers are used then
  the direct Picard iteration A(x^n) x^{n+1} = bp(x^n) + b

  There is some controversity over the definition of a Picard iteration for nonlinear systems but almost everyone agrees that it involves a linear solve and some
  believe it is the iteration  A(x^{n}) x^{n+1} = b(x^{n}) hence we use the name Picard. If anyone has an authoritative  reference that defines the Picard iteration
  different please contact us at petsc-dev@mcs.anl.gov and we'll have an entirely new argument :-).

  When used with `-snes_mf_operator` this will run matrix-free Newton's method where the matrix-vector product is of the true Jacobian of A(x)x - bp(x) -b and
  A(x^{n}) is used to build the preconditioner

  When used with `-snes_fd` this will compute the true Jacobian (very slowly one column at at time) and thus represent Newton's method.

  When used with `-snes_fd_coloring` this will compute the Jacobian via coloring and thus represent a faster implementation of Newton's method. But the
  the nonzero structure of the Jacobian is, in general larger than that of the Picard matrix A so you must provide in A the needed nonzero structure for the correct
  coloring. When using `DMDA` this may mean creating the matrix A with `DMCreateMatrix()` using a wider stencil than strictly needed for A or with a `DMDA_STENCIL_BOX`.
  See the comment in src/snes/tutorials/ex15.c.

.seealso: [](ch_snes), `SNES`, `SNESGetFunction()`, `SNESSetFunction()`, `SNESComputeFunction()`, `SNESSetJacobian()`, `SNESGetPicard()`, `SNESLineSearchPreCheckPicard()`, `SNESJacobianFunction`
@*/
PetscErrorCode SNESSetPicard(SNES snes, Vec r, PetscErrorCode (*bp)(SNES, Vec, Vec, void *), Mat Amat, Mat Pmat, PetscErrorCode (*J)(SNES, Vec, Mat, Mat, void *), void *ctx)
{
  DM dm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMSNESSetPicard(dm, bp, J, ctx));
  PetscCall(DMSNESSetMFFunction(dm, SNESPicardComputeMFFunction, ctx));
  PetscCall(SNESSetFunction(snes, r, SNESPicardComputeFunction, ctx));
  PetscCall(SNESSetJacobian(snes, Amat, Pmat, SNESPicardComputeJacobian, ctx));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESGetPicard - Returns the context for the Picard iteration

  Not Collective, but `Vec` is parallel if `SNES` is parallel. Collective if `Vec` is requested, but has not been created yet.

  Input Parameter:
. snes - the `SNES` context

  Output Parameters:
+ r    - the function (or `NULL`)
. f    - the function (or `NULL`);  for calling sequence see `SNESFunction`
. Amat - the matrix used to defined the operation A(x) x - b(x) (or `NULL`)
. Pmat - the matrix from which the preconditioner will be constructed (or `NULL`)
. J    - the function for matrix evaluation (or `NULL`);  for calling sequence see `SNESJacobianFunction`
- ctx  - the function context (or `NULL`)

  Level: advanced

.seealso: [](ch_snes), `SNESSetFunction()`, `SNESSetPicard()`, `SNESGetFunction()`, `SNESGetJacobian()`, `SNESGetDM()`, `SNESFunction`, `SNESJacobianFunction`
@*/
PetscErrorCode SNESGetPicard(SNES snes, Vec *r, PetscErrorCode (**f)(SNES, Vec, Vec, void *), Mat *Amat, Mat *Pmat, PetscErrorCode (**J)(SNES, Vec, Mat, Mat, void *), void **ctx)
{
  DM dm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCall(SNESGetFunction(snes, r, NULL, NULL));
  PetscCall(SNESGetJacobian(snes, Amat, Pmat, NULL, NULL));
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMSNESGetPicard(dm, f, J, ctx));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESSetComputeInitialGuess - Sets a routine used to compute an initial guess for the nonlinear problem

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
. func - function evaluation routine
- ctx  - [optional] user-defined context for private data for the
         function evaluation routine (may be `NULL`)

  Calling sequence of `func`:
+ snes - the `SNES` solver
. x    - vector to put initial guess
- ctx  - optional user-defined function context

  Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetFunction()`, `SNESGetFunction()`, `SNESComputeFunction()`, `SNESSetJacobian()`
@*/
PetscErrorCode SNESSetComputeInitialGuess(SNES snes, PetscErrorCode (*func)(SNES snes, Vec x, void *ctx), void *ctx)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (func) snes->ops->computeinitialguess = func;
  if (ctx) snes->initialguessP = ctx;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESGetRhs - Gets the vector for solving F(x) = `rhs`. If `rhs` is not set
  it assumes a zero right hand side.

  Logically Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. rhs - the right hand side vector or `NULL` if there is no right-hand side vector

  Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESGetSolution()`, `SNESGetFunction()`, `SNESComputeFunction()`, `SNESSetJacobian()`, `SNESSetFunction()`
@*/
PetscErrorCode SNESGetRhs(SNES snes, Vec *rhs)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(rhs, 2);
  *rhs = snes->vec_rhs;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESComputeFunction - Calls the function that has been set with `SNESSetFunction()`.

  Collective

  Input Parameters:
+ snes - the `SNES` context
- x    - input vector

  Output Parameter:
. y - function vector, as set by `SNESSetFunction()`

  Level: developer

  Note:
  `SNESComputeFunction()` is typically used within nonlinear solvers
  implementations, so users would not generally call this routine themselves.

.seealso: [](ch_snes), `SNES`, `SNESSetFunction()`, `SNESGetFunction()`, `SNESComputeMFFunction()`
@*/
PetscErrorCode SNESComputeFunction(SNES snes, Vec x, Vec y)
{
  DM     dm;
  DMSNES sdm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidHeaderSpecific(x, VEC_CLASSID, 2);
  PetscValidHeaderSpecific(y, VEC_CLASSID, 3);
  PetscCheckSameComm(snes, 1, x, 2);
  PetscCheckSameComm(snes, 1, y, 3);
  PetscCall(VecValidValues_Internal(x, 2, PETSC_TRUE));

  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMGetDMSNES(dm, &sdm));
  PetscCheck(sdm->ops->computefunction || snes->vec_rhs, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Must call SNESSetFunction() or SNESSetDM() before SNESComputeFunction(), likely called from SNESSolve().");
  if (sdm->ops->computefunction) {
    if (sdm->ops->computefunction != SNESObjectiveComputeFunctionDefaultFD) PetscCall(PetscLogEventBegin(SNES_FunctionEval, snes, x, y, 0));
    PetscCall(VecLockReadPush(x));
    /* ensure domainerror is false prior to computefunction evaluation (may not have been reset) */
    snes->domainerror = PETSC_FALSE;
    {
      void *ctx;
      PetscErrorCode (*computefunction)(SNES, Vec, Vec, void *);
      PetscCall(DMSNESGetFunction(dm, &computefunction, &ctx));
      PetscCallBack("SNES callback function", (*computefunction)(snes, x, y, ctx));
    }
    PetscCall(VecLockReadPop(x));
    if (sdm->ops->computefunction != SNESObjectiveComputeFunctionDefaultFD) PetscCall(PetscLogEventEnd(SNES_FunctionEval, snes, x, y, 0));
  } else /* if (snes->vec_rhs) */ {
    PetscCall(MatMult(snes->jacobian, x, y));
  }
  if (snes->vec_rhs) PetscCall(VecAXPY(y, -1.0, snes->vec_rhs));
  snes->nfuncs++;
  /*
     domainerror might not be set on all processes; so we tag vector locally with Inf and the next inner product or norm will
     propagate the value to all processes
  */
  if (snes->domainerror) PetscCall(VecSetInf(y));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESComputeMFFunction - Calls the function that has been set with `SNESSetMFFunction()`.

  Collective

  Input Parameters:
+ snes - the `SNES` context
- x    - input vector

  Output Parameter:
. y - function vector, as set by `SNESSetMFFunction()`

  Level: developer

  Notes:
  `SNESComputeMFFunction()` is used within the matrix-vector products called by the matrix created with `MatCreateSNESMF()`
  so users would not generally call this routine themselves.

  Since this function is intended for use with finite differencing it does not subtract the right hand side vector provided with `SNESSolve()`
  while `SNESComputeFunction()` does. As such, this routine cannot be used with  `MatMFFDSetBase()` with a provided F function value even if it applies the
  same function as `SNESComputeFunction()` if a `SNESSolve()` right hand side vector is use because the two functions difference would include this right hand side function.

.seealso: [](ch_snes), `SNES`, `SNESSetFunction()`, `SNESGetFunction()`, `SNESComputeFunction()`, `MatCreateSNESMF`
@*/
PetscErrorCode SNESComputeMFFunction(SNES snes, Vec x, Vec y)
{
  DM     dm;
  DMSNES sdm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidHeaderSpecific(x, VEC_CLASSID, 2);
  PetscValidHeaderSpecific(y, VEC_CLASSID, 3);
  PetscCheckSameComm(snes, 1, x, 2);
  PetscCheckSameComm(snes, 1, y, 3);
  PetscCall(VecValidValues_Internal(x, 2, PETSC_TRUE));

  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMGetDMSNES(dm, &sdm));
  PetscCall(PetscLogEventBegin(SNES_FunctionEval, snes, x, y, 0));
  PetscCall(VecLockReadPush(x));
  /* ensure domainerror is false prior to computefunction evaluation (may not have been reset) */
  snes->domainerror = PETSC_FALSE;
  PetscCallBack("SNES callback function", (*sdm->ops->computemffunction)(snes, x, y, sdm->mffunctionctx));
  PetscCall(VecLockReadPop(x));
  PetscCall(PetscLogEventEnd(SNES_FunctionEval, snes, x, y, 0));
  snes->nfuncs++;
  /*
     domainerror might not be set on all processes; so we tag vector locally with Inf and the next inner product or norm will
     propagate the value to all processes
  */
  if (snes->domainerror) PetscCall(VecSetInf(y));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESComputeNGS - Calls the Gauss-Seidel function that has been set with  `SNESSetNGS()`.

  Collective

  Input Parameters:
+ snes - the `SNES` context
. x    - input vector
- b    - rhs vector

  Output Parameter:
. x - new solution vector

  Level: developer

  Note:
  `SNESComputeNGS()` is typically used within composed nonlinear solver
  implementations, so most users would not generally call this routine
  themselves.

.seealso: [](ch_snes), `SNESNGS`, `SNESSetNGS()`, `SNESComputeFunction()`
@*/
PetscErrorCode SNESComputeNGS(SNES snes, Vec b, Vec x)
{
  DM     dm;
  DMSNES sdm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidHeaderSpecific(x, VEC_CLASSID, 3);
  if (b) PetscValidHeaderSpecific(b, VEC_CLASSID, 2);
  PetscCheckSameComm(snes, 1, x, 3);
  if (b) PetscCheckSameComm(snes, 1, b, 2);
  if (b) PetscCall(VecValidValues_Internal(b, 2, PETSC_TRUE));
  PetscCall(PetscLogEventBegin(SNES_NGSEval, snes, x, b, 0));
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMGetDMSNES(dm, &sdm));
  PetscCheck(sdm->ops->computegs, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Must call SNESSetNGS() before SNESComputeNGS(), likely called from SNESSolve().");
  if (b) PetscCall(VecLockReadPush(b));
  PetscCallBack("SNES callback NGS", (*sdm->ops->computegs)(snes, x, b, sdm->gsctx));
  if (b) PetscCall(VecLockReadPop(b));
  PetscCall(PetscLogEventEnd(SNES_NGSEval, snes, x, b, 0));
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode SNESTestJacobian(SNES snes)
{
  Mat               A, B, C, D, jacobian;
  Vec               x = snes->vec_sol, f = snes->vec_func;
  PetscReal         nrm, gnorm;
  PetscReal         threshold = 1.e-5;
  MatType           mattype;
  PetscInt          m, n, M, N;
  void             *functx;
  PetscBool         complete_print = PETSC_FALSE, threshold_print = PETSC_FALSE, test = PETSC_FALSE, flg, istranspose;
  PetscViewer       viewer, mviewer;
  MPI_Comm          comm;
  PetscInt          tabs;
  static PetscBool  directionsprinted = PETSC_FALSE;
  PetscViewerFormat format;

  PetscFunctionBegin;
  PetscObjectOptionsBegin((PetscObject)snes);
  PetscCall(PetscOptionsName("-snes_test_jacobian", "Compare hand-coded and finite difference Jacobians", "None", &test));
  PetscCall(PetscOptionsReal("-snes_test_jacobian", "Threshold for element difference between hand-coded and finite difference being meaningful", "None", threshold, &threshold, NULL));
  PetscCall(PetscOptionsDeprecated("-snes_test_jacobian_display", "-snes_test_jacobian_view", "3.13", NULL));
  PetscCall(PetscOptionsViewer("-snes_test_jacobian_view", "View difference between hand-coded and finite difference Jacobians element entries", "None", &mviewer, &format, &complete_print));
  PetscCall(PetscOptionsDeprecated("-snes_test_jacobian_display_threshold", "-snes_test_jacobian", "3.13", "-snes_test_jacobian accepts an optional threshold (since v3.10)"));
  /* Cannot remove the what otherwise would be redundant call to (PetscOptionsReal("-snes_test_jacobian_display_threshold") below because its usage is different than the replacement usage */
  PetscCall(PetscOptionsReal("-snes_test_jacobian_display_threshold", "Display difference between hand-coded and finite difference Jacobians which exceed input threshold", "None", threshold, &threshold, &threshold_print));
  PetscOptionsEnd();
  if (!test) PetscFunctionReturn(PETSC_SUCCESS);

  PetscCall(PetscObjectGetComm((PetscObject)snes, &comm));
  PetscCall(PetscViewerASCIIGetStdout(comm, &viewer));
  PetscCall(PetscViewerASCIIGetTab(viewer, &tabs));
  PetscCall(PetscViewerASCIISetTab(viewer, ((PetscObject)snes)->tablevel));
  PetscCall(PetscViewerASCIIPrintf(viewer, "  ---------- Testing Jacobian -------------\n"));
  if (!complete_print && !directionsprinted) {
    PetscCall(PetscViewerASCIIPrintf(viewer, "  Run with -snes_test_jacobian_view and optionally -snes_test_jacobian <threshold> to show difference\n"));
    PetscCall(PetscViewerASCIIPrintf(viewer, "    of hand-coded and finite difference Jacobian entries greater than <threshold>.\n"));
  }
  if (!directionsprinted) {
    PetscCall(PetscViewerASCIIPrintf(viewer, "  Testing hand-coded Jacobian, if (for double precision runs) ||J - Jfd||_F/||J||_F is\n"));
    PetscCall(PetscViewerASCIIPrintf(viewer, "    O(1.e-8), the hand-coded Jacobian is probably correct.\n"));
    directionsprinted = PETSC_TRUE;
  }
  if (complete_print) PetscCall(PetscViewerPushFormat(mviewer, format));

  PetscCall(PetscObjectTypeCompare((PetscObject)snes->jacobian, MATMFFD, &flg));
  if (!flg) jacobian = snes->jacobian;
  else jacobian = snes->jacobian_pre;

  if (!x) {
    PetscCall(MatCreateVecs(jacobian, &x, NULL));
  } else {
    PetscCall(PetscObjectReference((PetscObject)x));
  }
  if (!f) {
    PetscCall(VecDuplicate(x, &f));
  } else {
    PetscCall(PetscObjectReference((PetscObject)f));
  }
  /* evaluate the function at this point because SNESComputeJacobianDefault() assumes that the function has been evaluated and put into snes->vec_func */
  PetscCall(SNESComputeFunction(snes, x, f));
  PetscCall(VecDestroy(&f));
  PetscCall(PetscObjectTypeCompare((PetscObject)snes, SNESKSPTRANSPOSEONLY, &istranspose));
  while (jacobian) {
    Mat JT = NULL, Jsave = NULL;

    if (istranspose) {
      PetscCall(MatCreateTranspose(jacobian, &JT));
      Jsave    = jacobian;
      jacobian = JT;
    }
    PetscCall(PetscObjectBaseTypeCompareAny((PetscObject)jacobian, &flg, MATSEQAIJ, MATMPIAIJ, MATSEQDENSE, MATMPIDENSE, MATSEQBAIJ, MATMPIBAIJ, MATSEQSBAIJ, MATMPISBAIJ, ""));
    if (flg) {
      A = jacobian;
      PetscCall(PetscObjectReference((PetscObject)A));
    } else {
      PetscCall(MatComputeOperator(jacobian, MATAIJ, &A));
    }

    PetscCall(MatGetType(A, &mattype));
    PetscCall(MatGetSize(A, &M, &N));
    PetscCall(MatGetLocalSize(A, &m, &n));
    PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &B));
    PetscCall(MatSetType(B, mattype));
    PetscCall(MatSetSizes(B, m, n, M, N));
    PetscCall(MatSetBlockSizesFromMats(B, A, A));
    PetscCall(MatSetUp(B));
    PetscCall(MatSetOption(B, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE));

    PetscCall(SNESGetFunction(snes, NULL, NULL, &functx));
    PetscCall(SNESComputeJacobianDefault(snes, x, B, B, functx));

    PetscCall(MatDuplicate(B, MAT_COPY_VALUES, &D));
    PetscCall(MatAYPX(D, -1.0, A, DIFFERENT_NONZERO_PATTERN));
    PetscCall(MatNorm(D, NORM_FROBENIUS, &nrm));
    PetscCall(MatNorm(A, NORM_FROBENIUS, &gnorm));
    PetscCall(MatDestroy(&D));
    if (!gnorm) gnorm = 1; /* just in case */
    PetscCall(PetscViewerASCIIPrintf(viewer, "  ||J - Jfd||_F/||J||_F = %g, ||J - Jfd||_F = %g\n", (double)(nrm / gnorm), (double)nrm));

    if (complete_print) {
      PetscCall(PetscViewerASCIIPrintf(viewer, "  Hand-coded Jacobian ----------\n"));
      PetscCall(MatView(A, mviewer));
      PetscCall(PetscViewerASCIIPrintf(viewer, "  Finite difference Jacobian ----------\n"));
      PetscCall(MatView(B, mviewer));
    }

    if (threshold_print || complete_print) {
      PetscInt           Istart, Iend, *ccols, bncols, cncols, j, row;
      PetscScalar       *cvals;
      const PetscInt    *bcols;
      const PetscScalar *bvals;

      PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &C));
      PetscCall(MatSetType(C, mattype));
      PetscCall(MatSetSizes(C, m, n, M, N));
      PetscCall(MatSetBlockSizesFromMats(C, A, A));
      PetscCall(MatSetUp(C));
      PetscCall(MatSetOption(C, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE));

      PetscCall(MatAYPX(B, -1.0, A, DIFFERENT_NONZERO_PATTERN));
      PetscCall(MatGetOwnershipRange(B, &Istart, &Iend));

      for (row = Istart; row < Iend; row++) {
        PetscCall(MatGetRow(B, row, &bncols, &bcols, &bvals));
        PetscCall(PetscMalloc2(bncols, &ccols, bncols, &cvals));
        for (j = 0, cncols = 0; j < bncols; j++) {
          if (PetscAbsScalar(bvals[j]) > threshold) {
            ccols[cncols] = bcols[j];
            cvals[cncols] = bvals[j];
            cncols += 1;
          }
        }
        if (cncols) PetscCall(MatSetValues(C, 1, &row, cncols, ccols, cvals, INSERT_VALUES));
        PetscCall(MatRestoreRow(B, row, &bncols, &bcols, &bvals));
        PetscCall(PetscFree2(ccols, cvals));
      }
      PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY));
      PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY));
      PetscCall(PetscViewerASCIIPrintf(viewer, "  Hand-coded minus finite-difference Jacobian with tolerance %g ----------\n", (double)threshold));
      PetscCall(MatView(C, complete_print ? mviewer : viewer));
      PetscCall(MatDestroy(&C));
    }
    PetscCall(MatDestroy(&A));
    PetscCall(MatDestroy(&B));
    PetscCall(MatDestroy(&JT));
    if (Jsave) jacobian = Jsave;
    if (jacobian != snes->jacobian_pre) {
      jacobian = snes->jacobian_pre;
      PetscCall(PetscViewerASCIIPrintf(viewer, "  ---------- Testing Jacobian for preconditioner -------------\n"));
    } else jacobian = NULL;
  }
  PetscCall(VecDestroy(&x));
  if (complete_print) PetscCall(PetscViewerPopFormat(mviewer));
  if (mviewer) PetscCall(PetscViewerDestroy(&mviewer));
  PetscCall(PetscViewerASCIISetTab(viewer, tabs));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESComputeJacobian - Computes the Jacobian matrix that has been set with `SNESSetJacobian()`.

  Collective

  Input Parameters:
+ snes - the `SNES` context
- X    - input vector

  Output Parameters:
+ A - Jacobian matrix
- B - optional matrix for building the preconditioner, usually the same as `A`

  Options Database Keys:
+ -snes_lag_preconditioner <lag>           - how often to rebuild preconditioner
. -snes_lag_jacobian <lag>                 - how often to rebuild Jacobian
. -snes_test_jacobian <optional threshold> - compare the user provided Jacobian with one compute via finite differences to check for errors.  If a threshold is given, display only those entries whose difference is greater than the threshold.
. -snes_test_jacobian_view                 - display the user provided Jacobian, the finite difference Jacobian and the difference between them to help users detect the location of errors in the user provided Jacobian
. -snes_compare_explicit                   - Compare the computed Jacobian to the finite difference Jacobian and output the differences
. -snes_compare_explicit_draw              - Compare the computed Jacobian to the finite difference Jacobian and draw the result
. -snes_compare_explicit_contour           - Compare the computed Jacobian to the finite difference Jacobian and draw a contour plot with the result
. -snes_compare_operator                   - Make the comparison options above use the operator instead of the preconditioning matrix
. -snes_compare_coloring                   - Compute the finite difference Jacobian using coloring and display norms of difference
. -snes_compare_coloring_display           - Compute the finite difference Jacobian using coloring and display verbose differences
. -snes_compare_coloring_threshold         - Display only those matrix entries that differ by more than a given threshold
. -snes_compare_coloring_threshold_atol    - Absolute tolerance for difference in matrix entries to be displayed by `-snes_compare_coloring_threshold`
. -snes_compare_coloring_threshold_rtol    - Relative tolerance for difference in matrix entries to be displayed by `-snes_compare_coloring_threshold`
. -snes_compare_coloring_draw              - Compute the finite difference Jacobian using coloring and draw differences
- -snes_compare_coloring_draw_contour      - Compute the finite difference Jacobian using coloring and show contours of matrices and differences

  Level: developer

  Note:
  Most users should not need to explicitly call this routine, as it
  is used internally within the nonlinear solvers.

  Developer Note:
  This has duplicative ways of checking the accuracy of the user provided Jacobian (see the options above). This is for historical reasons, the routine `SNESTestJacobian()` use to used
  with the `SNESType` of test that has been removed.

.seealso: [](ch_snes), `SNESSetJacobian()`, `KSPSetOperators()`, `MatStructure`, `SNESSetLagPreconditioner()`, `SNESSetLagJacobian()`
@*/
PetscErrorCode SNESComputeJacobian(SNES snes, Vec X, Mat A, Mat B)
{
  PetscBool flag;
  DM        dm;
  DMSNES    sdm;
  KSP       ksp;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidHeaderSpecific(X, VEC_CLASSID, 2);
  PetscCheckSameComm(snes, 1, X, 2);
  PetscCall(VecValidValues_Internal(X, 2, PETSC_TRUE));
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMGetDMSNES(dm, &sdm));

  /* make sure that MatAssemblyBegin/End() is called on A matrix if it is matrix-free */
  if (snes->lagjacobian == -2) {
    snes->lagjacobian = -1;

    PetscCall(PetscInfo(snes, "Recomputing Jacobian/preconditioner because lag is -2 (means compute Jacobian, but then never again) \n"));
  } else if (snes->lagjacobian == -1) {
    PetscCall(PetscInfo(snes, "Reusing Jacobian/preconditioner because lag is -1\n"));
    PetscCall(PetscObjectTypeCompare((PetscObject)A, MATMFFD, &flag));
    if (flag) {
      PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
      PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
    }
    PetscFunctionReturn(PETSC_SUCCESS);
  } else if (snes->lagjacobian > 1 && (snes->iter + snes->jac_iter) % snes->lagjacobian) {
    PetscCall(PetscInfo(snes, "Reusing Jacobian/preconditioner because lag is %" PetscInt_FMT " and SNES iteration is %" PetscInt_FMT "\n", snes->lagjacobian, snes->iter));
    PetscCall(PetscObjectTypeCompare((PetscObject)A, MATMFFD, &flag));
    if (flag) {
      PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
      PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
    }
    PetscFunctionReturn(PETSC_SUCCESS);
  }
  if (snes->npc && snes->npcside == PC_LEFT) {
    PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
    PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
    PetscFunctionReturn(PETSC_SUCCESS);
  }

  PetscCall(PetscLogEventBegin(SNES_JacobianEval, snes, X, A, B));
  PetscCall(VecLockReadPush(X));
  {
    void *ctx;
    PetscErrorCode (*J)(SNES, Vec, Mat, Mat, void *);
    PetscCall(DMSNESGetJacobian(dm, &J, &ctx));
    PetscCallBack("SNES callback Jacobian", (*J)(snes, X, A, B, ctx));
  }
  PetscCall(VecLockReadPop(X));
  PetscCall(PetscLogEventEnd(SNES_JacobianEval, snes, X, A, B));

  /* attach latest linearization point to the preconditioning matrix */
  PetscCall(PetscObjectCompose((PetscObject)B, "__SNES_latest_X", (PetscObject)X));

  /* the next line ensures that snes->ksp exists */
  PetscCall(SNESGetKSP(snes, &ksp));
  if (snes->lagpreconditioner == -2) {
    PetscCall(PetscInfo(snes, "Rebuilding preconditioner exactly once since lag is -2\n"));
    PetscCall(KSPSetReusePreconditioner(snes->ksp, PETSC_FALSE));
    snes->lagpreconditioner = -1;
  } else if (snes->lagpreconditioner == -1) {
    PetscCall(PetscInfo(snes, "Reusing preconditioner because lag is -1\n"));
    PetscCall(KSPSetReusePreconditioner(snes->ksp, PETSC_TRUE));
  } else if (snes->lagpreconditioner > 1 && (snes->iter + snes->pre_iter) % snes->lagpreconditioner) {
    PetscCall(PetscInfo(snes, "Reusing preconditioner because lag is %" PetscInt_FMT " and SNES iteration is %" PetscInt_FMT "\n", snes->lagpreconditioner, snes->iter));
    PetscCall(KSPSetReusePreconditioner(snes->ksp, PETSC_TRUE));
  } else {
    PetscCall(PetscInfo(snes, "Rebuilding preconditioner\n"));
    PetscCall(KSPSetReusePreconditioner(snes->ksp, PETSC_FALSE));
  }

  PetscCall(SNESTestJacobian(snes));
  /* make sure user returned a correct Jacobian and preconditioner */
  /* PetscValidHeaderSpecific(A,MAT_CLASSID,3);
    PetscValidHeaderSpecific(B,MAT_CLASSID,4);   */
  {
    PetscBool flag = PETSC_FALSE, flag_draw = PETSC_FALSE, flag_contour = PETSC_FALSE, flag_operator = PETSC_FALSE;
    PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_explicit", NULL, NULL, &flag));
    PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_explicit_draw", NULL, NULL, &flag_draw));
    PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_explicit_draw_contour", NULL, NULL, &flag_contour));
    PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_operator", NULL, NULL, &flag_operator));
    if (flag || flag_draw || flag_contour) {
      Mat         Bexp_mine = NULL, Bexp, FDexp;
      PetscViewer vdraw, vstdout;
      PetscBool   flg;
      if (flag_operator) {
        PetscCall(MatComputeOperator(A, MATAIJ, &Bexp_mine));
        Bexp = Bexp_mine;
      } else {
        /* See if the preconditioning matrix can be viewed and added directly */
        PetscCall(PetscObjectBaseTypeCompareAny((PetscObject)B, &flg, MATSEQAIJ, MATMPIAIJ, MATSEQDENSE, MATMPIDENSE, MATSEQBAIJ, MATMPIBAIJ, MATSEQSBAIJ, MATMPIBAIJ, ""));
        if (flg) Bexp = B;
        else {
          /* If the "preconditioning" matrix is itself MATSHELL or some other type without direct support */
          PetscCall(MatComputeOperator(B, MATAIJ, &Bexp_mine));
          Bexp = Bexp_mine;
        }
      }
      PetscCall(MatConvert(Bexp, MATSAME, MAT_INITIAL_MATRIX, &FDexp));
      PetscCall(SNESComputeJacobianDefault(snes, X, FDexp, FDexp, NULL));
      PetscCall(PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)snes), &vstdout));
      if (flag_draw || flag_contour) {
        PetscCall(PetscViewerDrawOpen(PetscObjectComm((PetscObject)snes), NULL, "Explicit Jacobians", PETSC_DECIDE, PETSC_DECIDE, 300, 300, &vdraw));
        if (flag_contour) PetscCall(PetscViewerPushFormat(vdraw, PETSC_VIEWER_DRAW_CONTOUR));
      } else vdraw = NULL;
      PetscCall(PetscViewerASCIIPrintf(vstdout, "Explicit %s\n", flag_operator ? "Jacobian" : "preconditioning Jacobian"));
      if (flag) PetscCall(MatView(Bexp, vstdout));
      if (vdraw) PetscCall(MatView(Bexp, vdraw));
      PetscCall(PetscViewerASCIIPrintf(vstdout, "Finite difference Jacobian\n"));
      if (flag) PetscCall(MatView(FDexp, vstdout));
      if (vdraw) PetscCall(MatView(FDexp, vdraw));
      PetscCall(MatAYPX(FDexp, -1.0, Bexp, SAME_NONZERO_PATTERN));
      PetscCall(PetscViewerASCIIPrintf(vstdout, "User-provided matrix minus finite difference Jacobian\n"));
      if (flag) PetscCall(MatView(FDexp, vstdout));
      if (vdraw) { /* Always use contour for the difference */
        PetscCall(PetscViewerPushFormat(vdraw, PETSC_VIEWER_DRAW_CONTOUR));
        PetscCall(MatView(FDexp, vdraw));
        PetscCall(PetscViewerPopFormat(vdraw));
      }
      if (flag_contour) PetscCall(PetscViewerPopFormat(vdraw));
      PetscCall(PetscViewerDestroy(&vdraw));
      PetscCall(MatDestroy(&Bexp_mine));
      PetscCall(MatDestroy(&FDexp));
    }
  }
  {
    PetscBool flag = PETSC_FALSE, flag_display = PETSC_FALSE, flag_draw = PETSC_FALSE, flag_contour = PETSC_FALSE, flag_threshold = PETSC_FALSE;
    PetscReal threshold_atol = PETSC_SQRT_MACHINE_EPSILON, threshold_rtol = 10 * PETSC_SQRT_MACHINE_EPSILON;
    PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring", NULL, NULL, &flag));
    PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring_display", NULL, NULL, &flag_display));
    PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring_draw", NULL, NULL, &flag_draw));
    PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring_draw_contour", NULL, NULL, &flag_contour));
    PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring_threshold", NULL, NULL, &flag_threshold));
    if (flag_threshold) {
      PetscCall(PetscOptionsGetReal(((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring_threshold_rtol", &threshold_rtol, NULL));
      PetscCall(PetscOptionsGetReal(((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_compare_coloring_threshold_atol", &threshold_atol, NULL));
    }
    if (flag || flag_display || flag_draw || flag_contour || flag_threshold) {
      Mat           Bfd;
      PetscViewer   vdraw, vstdout;
      MatColoring   coloring;
      ISColoring    iscoloring;
      MatFDColoring matfdcoloring;
      PetscErrorCode (*func)(SNES, Vec, Vec, void *);
      void     *funcctx;
      PetscReal norm1, norm2, normmax;

      PetscCall(MatDuplicate(B, MAT_DO_NOT_COPY_VALUES, &Bfd));
      PetscCall(MatColoringCreate(Bfd, &coloring));
      PetscCall(MatColoringSetType(coloring, MATCOLORINGSL));
      PetscCall(MatColoringSetFromOptions(coloring));
      PetscCall(MatColoringApply(coloring, &iscoloring));
      PetscCall(MatColoringDestroy(&coloring));
      PetscCall(MatFDColoringCreate(Bfd, iscoloring, &matfdcoloring));
      PetscCall(MatFDColoringSetFromOptions(matfdcoloring));
      PetscCall(MatFDColoringSetUp(Bfd, iscoloring, matfdcoloring));
      PetscCall(ISColoringDestroy(&iscoloring));

      /* This method of getting the function is currently unreliable since it doesn't work for DM local functions. */
      PetscCall(SNESGetFunction(snes, NULL, &func, &funcctx));
      PetscCall(MatFDColoringSetFunction(matfdcoloring, (PetscErrorCode(*)(void))func, funcctx));
      PetscCall(PetscObjectSetOptionsPrefix((PetscObject)matfdcoloring, ((PetscObject)snes)->prefix));
      PetscCall(PetscObjectAppendOptionsPrefix((PetscObject)matfdcoloring, "coloring_"));
      PetscCall(MatFDColoringSetFromOptions(matfdcoloring));
      PetscCall(MatFDColoringApply(Bfd, matfdcoloring, X, snes));
      PetscCall(MatFDColoringDestroy(&matfdcoloring));

      PetscCall(PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)snes), &vstdout));
      if (flag_draw || flag_contour) {
        PetscCall(PetscViewerDrawOpen(PetscObjectComm((PetscObject)snes), NULL, "Colored Jacobians", PETSC_DECIDE, PETSC_DECIDE, 300, 300, &vdraw));
        if (flag_contour) PetscCall(PetscViewerPushFormat(vdraw, PETSC_VIEWER_DRAW_CONTOUR));
      } else vdraw = NULL;
      PetscCall(PetscViewerASCIIPrintf(vstdout, "Explicit preconditioning Jacobian\n"));
      if (flag_display) PetscCall(MatView(B, vstdout));
      if (vdraw) PetscCall(MatView(B, vdraw));
      PetscCall(PetscViewerASCIIPrintf(vstdout, "Colored Finite difference Jacobian\n"));
      if (flag_display) PetscCall(MatView(Bfd, vstdout));
      if (vdraw) PetscCall(MatView(Bfd, vdraw));
      PetscCall(MatAYPX(Bfd, -1.0, B, SAME_NONZERO_PATTERN));
      PetscCall(MatNorm(Bfd, NORM_1, &norm1));
      PetscCall(MatNorm(Bfd, NORM_FROBENIUS, &norm2));
      PetscCall(MatNorm(Bfd, NORM_MAX, &normmax));
      PetscCall(PetscViewerASCIIPrintf(vstdout, "User-provided matrix minus finite difference Jacobian, norm1=%g normFrob=%g normmax=%g\n", (double)norm1, (double)norm2, (double)normmax));
      if (flag_display) PetscCall(MatView(Bfd, vstdout));
      if (vdraw) { /* Always use contour for the difference */
        PetscCall(PetscViewerPushFormat(vdraw, PETSC_VIEWER_DRAW_CONTOUR));
        PetscCall(MatView(Bfd, vdraw));
        PetscCall(PetscViewerPopFormat(vdraw));
      }
      if (flag_contour) PetscCall(PetscViewerPopFormat(vdraw));

      if (flag_threshold) {
        PetscInt bs, rstart, rend, i;
        PetscCall(MatGetBlockSize(B, &bs));
        PetscCall(MatGetOwnershipRange(B, &rstart, &rend));
        for (i = rstart; i < rend; i++) {
          const PetscScalar *ba, *ca;
          const PetscInt    *bj, *cj;
          PetscInt           bn, cn, j, maxentrycol = -1, maxdiffcol = -1, maxrdiffcol = -1;
          PetscReal          maxentry = 0, maxdiff = 0, maxrdiff = 0;
          PetscCall(MatGetRow(B, i, &bn, &bj, &ba));
          PetscCall(MatGetRow(Bfd, i, &cn, &cj, &ca));
          PetscCheck(bn == cn, ((PetscObject)A)->comm, PETSC_ERR_PLIB, "Unexpected different nonzero pattern in -snes_compare_coloring_threshold");
          for (j = 0; j < bn; j++) {
            PetscReal rdiff = PetscAbsScalar(ca[j]) / (threshold_atol + threshold_rtol * PetscAbsScalar(ba[j]));
            if (PetscAbsScalar(ba[j]) > PetscAbs(maxentry)) {
              maxentrycol = bj[j];
              maxentry    = PetscRealPart(ba[j]);
            }
            if (PetscAbsScalar(ca[j]) > PetscAbs(maxdiff)) {
              maxdiffcol = bj[j];
              maxdiff    = PetscRealPart(ca[j]);
            }
            if (rdiff > maxrdiff) {
              maxrdiffcol = bj[j];
              maxrdiff    = rdiff;
            }
          }
          if (maxrdiff > 1) {
            PetscCall(PetscViewerASCIIPrintf(vstdout, "row %" PetscInt_FMT " (maxentry=%g at %" PetscInt_FMT ", maxdiff=%g at %" PetscInt_FMT ", maxrdiff=%g at %" PetscInt_FMT "):", i, (double)maxentry, maxentrycol, (double)maxdiff, maxdiffcol, (double)maxrdiff, maxrdiffcol));
            for (j = 0; j < bn; j++) {
              PetscReal rdiff;
              rdiff = PetscAbsScalar(ca[j]) / (threshold_atol + threshold_rtol * PetscAbsScalar(ba[j]));
              if (rdiff > 1) PetscCall(PetscViewerASCIIPrintf(vstdout, " (%" PetscInt_FMT ",%g:%g)", bj[j], (double)PetscRealPart(ba[j]), (double)PetscRealPart(ca[j])));
            }
            PetscCall(PetscViewerASCIIPrintf(vstdout, "\n"));
          }
          PetscCall(MatRestoreRow(B, i, &bn, &bj, &ba));
          PetscCall(MatRestoreRow(Bfd, i, &cn, &cj, &ca));
        }
      }
      PetscCall(PetscViewerDestroy(&vdraw));
      PetscCall(MatDestroy(&Bfd));
    }
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*MC
    SNESJacobianFunction - Functional form used by `SNES` to compute the nonlinear Jacobian of the function to be solved by `SNES`

     Synopsis:
     #include "petscsnes.h"
     PetscErrorCode SNESJacobianFunction(SNES snes,Vec x,Mat Amat,Mat Pmat,void *ctx);

     Collective

    Input Parameters:
+  x - input vector, the Jacobian is to be computed at this value
-  ctx - [optional] user-defined Jacobian context

    Output Parameters:
+  Amat - the matrix that defines the (approximate) Jacobian
-  Pmat - the matrix to be used in constructing the preconditioner, usually the same as `Amat`.

   Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESSetFunction()`, `SNESGetFunction()`, `SNESSetJacobian()`, `SNESGetJacobian()`
M*/

/*@C
  SNESSetJacobian - Sets the function to compute Jacobian as well as the
  location to store the matrix.

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
. Amat - the matrix that defines the (approximate) Jacobian
. Pmat - the matrix to be used in constructing the preconditioner, usually the same as `Amat`.
. J    - Jacobian evaluation routine (if `NULL` then `SNES` retains any previously set value), see `SNESJacobianFunction` for details
- ctx  - [optional] user-defined context for private data for the
         Jacobian evaluation routine (may be `NULL`) (if `NULL` then `SNES` retains any previously set value)

  Level: beginner

  Notes:
  If the `Amat` matrix and `Pmat` matrix are different you must call `MatAssemblyBegin()`/`MatAssemblyEnd()` on
  each matrix.

  If you know the operator `Amat` has a null space you can use `MatSetNullSpace()` and `MatSetTransposeNullSpace()` to supply the null
  space to `Amat` and the `KSP` solvers will automatically use that null space as needed during the solution process.

  If using `SNESComputeJacobianDefaultColor()` to assemble a Jacobian, the `ctx` argument
  must be a `MatFDColoring`.

  Other defect-correction schemes can be used by computing a different matrix in place of the Jacobian.  One common
  example is to use the "Picard linearization" which only differentiates through the highest order parts of each term using `SNESSetPicard()`

.seealso: [](ch_snes), `SNES`, `KSPSetOperators()`, `SNESSetFunction()`, `MatMFFDComputeJacobian()`, `SNESComputeJacobianDefaultColor()`, `MatStructure`,
          `SNESSetPicard()`, `SNESJacobianFunction`
@*/
PetscErrorCode SNESSetJacobian(SNES snes, Mat Amat, Mat Pmat, PetscErrorCode (*J)(SNES, Vec, Mat, Mat, void *), void *ctx)
{
  DM dm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (Amat) PetscValidHeaderSpecific(Amat, MAT_CLASSID, 2);
  if (Pmat) PetscValidHeaderSpecific(Pmat, MAT_CLASSID, 3);
  if (Amat) PetscCheckSameComm(snes, 1, Amat, 2);
  if (Pmat) PetscCheckSameComm(snes, 1, Pmat, 3);
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMSNESSetJacobian(dm, J, ctx));
  if (Amat) {
    PetscCall(PetscObjectReference((PetscObject)Amat));
    PetscCall(MatDestroy(&snes->jacobian));

    snes->jacobian = Amat;
  }
  if (Pmat) {
    PetscCall(PetscObjectReference((PetscObject)Pmat));
    PetscCall(MatDestroy(&snes->jacobian_pre));

    snes->jacobian_pre = Pmat;
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESGetJacobian - Returns the Jacobian matrix and optionally the user
  provided context for evaluating the Jacobian.

  Not Collective, but `Mat` object will be parallel if `SNES` is

  Input Parameter:
. snes - the nonlinear solver context

  Output Parameters:
+ Amat - location to stash (approximate) Jacobian matrix (or `NULL`)
. Pmat - location to stash matrix used to compute the preconditioner (or `NULL`)
. J    - location to put Jacobian function (or `NULL`), for calling sequence see `SNESJacobianFunction`
- ctx  - location to stash Jacobian ctx (or `NULL`)

  Level: advanced

.seealso: [](ch_snes), `SNES`, `Mat`, `SNESSetJacobian()`, `SNESComputeJacobian()`, `SNESJacobianFunction`, `SNESGetFunction()`
@*/
PetscErrorCode SNESGetJacobian(SNES snes, Mat *Amat, Mat *Pmat, PetscErrorCode (**J)(SNES, Vec, Mat, Mat, void *), void **ctx)
{
  DM dm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (Amat) *Amat = snes->jacobian;
  if (Pmat) *Pmat = snes->jacobian_pre;
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMSNESGetJacobian(dm, J, ctx));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode SNESSetDefaultComputeJacobian(SNES snes)
{
  DM     dm;
  DMSNES sdm;

  PetscFunctionBegin;
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMGetDMSNES(dm, &sdm));
  if (!sdm->ops->computejacobian && snes->jacobian_pre) {
    DM        dm;
    PetscBool isdense, ismf;

    PetscCall(SNESGetDM(snes, &dm));
    PetscCall(PetscObjectTypeCompareAny((PetscObject)snes->jacobian_pre, &isdense, MATSEQDENSE, MATMPIDENSE, MATDENSE, NULL));
    PetscCall(PetscObjectTypeCompareAny((PetscObject)snes->jacobian_pre, &ismf, MATMFFD, MATSHELL, NULL));
    if (isdense) {
      PetscCall(DMSNESSetJacobian(dm, SNESComputeJacobianDefault, NULL));
    } else if (!ismf) {
      PetscCall(DMSNESSetJacobian(dm, SNESComputeJacobianDefaultColor, NULL));
    }
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetUp - Sets up the internal data structures for the later use
  of a nonlinear solver.

  Collective

  Input Parameter:
. snes - the `SNES` context

  Level: advanced

  Note:
  For basic use of the `SNES` solvers the user need not explicitly call
  `SNESSetUp()`, since these actions will automatically occur during
  the call to `SNESSolve()`.  However, if one wishes to control this
  phase separately, `SNESSetUp()` should be called after `SNESCreate()`
  and optional routines of the form SNESSetXXX(), but before `SNESSolve()`.

.seealso: [](ch_snes), `SNES`, `SNESCreate()`, `SNESSolve()`, `SNESDestroy()`
@*/
PetscErrorCode SNESSetUp(SNES snes)
{
  DM             dm;
  DMSNES         sdm;
  SNESLineSearch linesearch, pclinesearch;
  void          *lsprectx, *lspostctx;
  PetscBool      mf_operator, mf;
  Vec            f, fpc;
  void          *funcctx;
  void          *jacctx, *appctx;
  Mat            j, jpre;
  PetscErrorCode (*precheck)(SNESLineSearch, Vec, Vec, PetscBool *, void *);
  PetscErrorCode (*postcheck)(SNESLineSearch, Vec, Vec, Vec, PetscBool *, PetscBool *, void *);
  PetscErrorCode (*func)(SNES, Vec, Vec, void *);
  PetscErrorCode (*jac)(SNES, Vec, Mat, Mat, void *);

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (snes->setupcalled) PetscFunctionReturn(PETSC_SUCCESS);
  PetscCall(PetscLogEventBegin(SNES_SetUp, snes, 0, 0, 0));

  if (!((PetscObject)snes)->type_name) PetscCall(SNESSetType(snes, SNESNEWTONLS));

  PetscCall(SNESGetFunction(snes, &snes->vec_func, NULL, NULL));

  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMGetDMSNES(dm, &sdm));
  PetscCall(SNESSetDefaultComputeJacobian(snes));

  if (!snes->vec_func) PetscCall(DMCreateGlobalVector(dm, &snes->vec_func));

  if (!snes->ksp) PetscCall(SNESGetKSP(snes, &snes->ksp));

  if (snes->linesearch) {
    PetscCall(SNESGetLineSearch(snes, &snes->linesearch));
    PetscCall(SNESLineSearchSetFunction(snes->linesearch, SNESComputeFunction));
  }

  PetscCall(SNESGetUseMatrixFree(snes, &mf_operator, &mf));
  if (snes->npc && snes->npcside == PC_LEFT) {
    snes->mf          = PETSC_TRUE;
    snes->mf_operator = PETSC_FALSE;
  }

  if (snes->npc) {
    /* copy the DM over */
    PetscCall(SNESGetDM(snes, &dm));
    PetscCall(SNESSetDM(snes->npc, dm));

    PetscCall(SNESGetFunction(snes, &f, &func, &funcctx));
    PetscCall(VecDuplicate(f, &fpc));
    PetscCall(SNESSetFunction(snes->npc, fpc, func, funcctx));
    PetscCall(SNESGetJacobian(snes, &j, &jpre, &jac, &jacctx));
    PetscCall(SNESSetJacobian(snes->npc, j, jpre, jac, jacctx));
    PetscCall(SNESGetApplicationContext(snes, &appctx));
    PetscCall(SNESSetApplicationContext(snes->npc, appctx));
    PetscCall(SNESSetUseMatrixFree(snes->npc, mf_operator, mf));
    PetscCall(VecDestroy(&fpc));

    /* copy the function pointers over */
    PetscCall(PetscObjectCopyFortranFunctionPointers((PetscObject)snes, (PetscObject)snes->npc));

    /* default to 1 iteration */
    PetscCall(SNESSetTolerances(snes->npc, 0.0, 0.0, 0.0, 1, snes->npc->max_funcs));
    if (snes->npcside == PC_RIGHT) {
      PetscCall(SNESSetNormSchedule(snes->npc, SNES_NORM_FINAL_ONLY));
    } else {
      PetscCall(SNESSetNormSchedule(snes->npc, SNES_NORM_NONE));
    }
    PetscCall(SNESSetFromOptions(snes->npc));

    /* copy the line search context over */
    if (snes->linesearch && snes->npc->linesearch) {
      PetscCall(SNESGetLineSearch(snes, &linesearch));
      PetscCall(SNESGetLineSearch(snes->npc, &pclinesearch));
      PetscCall(SNESLineSearchGetPreCheck(linesearch, &precheck, &lsprectx));
      PetscCall(SNESLineSearchGetPostCheck(linesearch, &postcheck, &lspostctx));
      PetscCall(SNESLineSearchSetPreCheck(pclinesearch, precheck, lsprectx));
      PetscCall(SNESLineSearchSetPostCheck(pclinesearch, postcheck, lspostctx));
      PetscCall(PetscObjectCopyFortranFunctionPointers((PetscObject)linesearch, (PetscObject)pclinesearch));
    }
  }
  if (snes->mf) PetscCall(SNESSetUpMatrixFree_Private(snes, snes->mf_operator, snes->mf_version));
  if (snes->ops->usercompute && !snes->user) PetscCall((*snes->ops->usercompute)(snes, (void **)&snes->user));

  snes->jac_iter = 0;
  snes->pre_iter = 0;

  PetscTryTypeMethod(snes, setup);

  PetscCall(SNESSetDefaultComputeJacobian(snes));

  if (snes->npc && snes->npcside == PC_LEFT) {
    if (snes->functype == SNES_FUNCTION_PRECONDITIONED) {
      if (snes->linesearch) {
        PetscCall(SNESGetLineSearch(snes, &linesearch));
        PetscCall(SNESLineSearchSetFunction(linesearch, SNESComputeFunctionDefaultNPC));
      }
    }
  }
  PetscCall(PetscLogEventEnd(SNES_SetUp, snes, 0, 0, 0));
  snes->setupcalled = PETSC_TRUE;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESReset - Resets a `SNES` context to the snessetupcalled = 0 state and removes any allocated `Vec`s and `Mat`s

  Collective

  Input Parameter:
. snes - iterative context obtained from `SNESCreate()`

  Level: intermediate

  Notes:
  Call this if you wish to reuse a `SNES` but with different size vectors

  Also calls the application context destroy routine set with `SNESSetComputeApplicationContext()`

.seealso: [](ch_snes), `SNES`, `SNESDestroy()`, `SNESCreate()`, `SNESSetUp()`, `SNESSolve()`
@*/
PetscErrorCode SNESReset(SNES snes)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (snes->ops->userdestroy && snes->user) {
    PetscCall((*snes->ops->userdestroy)((void **)&snes->user));
    snes->user = NULL;
  }
  if (snes->npc) PetscCall(SNESReset(snes->npc));

  PetscTryTypeMethod(snes, reset);
  if (snes->ksp) PetscCall(KSPReset(snes->ksp));

  if (snes->linesearch) PetscCall(SNESLineSearchReset(snes->linesearch));

  PetscCall(VecDestroy(&snes->vec_rhs));
  PetscCall(VecDestroy(&snes->vec_sol));
  PetscCall(VecDestroy(&snes->vec_sol_update));
  PetscCall(VecDestroy(&snes->vec_func));
  PetscCall(MatDestroy(&snes->jacobian));
  PetscCall(MatDestroy(&snes->jacobian_pre));
  PetscCall(MatDestroy(&snes->picard));
  PetscCall(VecDestroyVecs(snes->nwork, &snes->work));
  PetscCall(VecDestroyVecs(snes->nvwork, &snes->vwork));

  snes->alwayscomputesfinalresidual = PETSC_FALSE;

  snes->nwork = snes->nvwork = 0;
  snes->setupcalled          = PETSC_FALSE;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESConvergedReasonViewCancel - Clears all the reason view functions for a `SNES` object provided with `SNESConvergedReasonViewSet()`

  Collective

  Input Parameter:
. snes - iterative context obtained from `SNESCreate()`

  Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESCreate()`, `SNESDestroy()`, `SNESReset()`, `SNESConvergedReasonViewSet()`
@*/
PetscErrorCode SNESConvergedReasonViewCancel(SNES snes)
{
  PetscInt i;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  for (i = 0; i < snes->numberreasonviews; i++) {
    if (snes->reasonviewdestroy[i]) PetscCall((*snes->reasonviewdestroy[i])(&snes->reasonviewcontext[i]));
  }
  snes->numberreasonviews = 0;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESDestroy - Destroys the nonlinear solver context that was created
  with `SNESCreate()`.

  Collective

  Input Parameter:
. snes - the `SNES` context

  Level: beginner

.seealso: [](ch_snes), `SNES`, `SNESCreate()`, `SNESSolve()`
@*/
PetscErrorCode SNESDestroy(SNES *snes)
{
  PetscFunctionBegin;
  if (!*snes) PetscFunctionReturn(PETSC_SUCCESS);
  PetscValidHeaderSpecific((*snes), SNES_CLASSID, 1);
  if (--((PetscObject)(*snes))->refct > 0) {
    *snes = NULL;
    PetscFunctionReturn(PETSC_SUCCESS);
  }

  PetscCall(SNESReset((*snes)));
  PetscCall(SNESDestroy(&(*snes)->npc));

  /* if memory was published with SAWs then destroy it */
  PetscCall(PetscObjectSAWsViewOff((PetscObject)*snes));
  PetscTryTypeMethod((*snes), destroy);

  if ((*snes)->dm) PetscCall(DMCoarsenHookRemove((*snes)->dm, DMCoarsenHook_SNESVecSol, DMRestrictHook_SNESVecSol, *snes));
  PetscCall(DMDestroy(&(*snes)->dm));
  PetscCall(KSPDestroy(&(*snes)->ksp));
  PetscCall(SNESLineSearchDestroy(&(*snes)->linesearch));

  PetscCall(PetscFree((*snes)->kspconvctx));
  if ((*snes)->ops->convergeddestroy) PetscCall((*(*snes)->ops->convergeddestroy)((*snes)->cnvP));
  if ((*snes)->conv_hist_alloc) PetscCall(PetscFree2((*snes)->conv_hist, (*snes)->conv_hist_its));
  PetscCall(SNESMonitorCancel((*snes)));
  PetscCall(SNESConvergedReasonViewCancel((*snes)));
  PetscCall(PetscHeaderDestroy(snes));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* ----------- Routines to set solver parameters ---------- */

/*@
  SNESSetLagPreconditioner - Determines when the preconditioner is rebuilt in the nonlinear solve.

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
- lag  - 1 means rebuild every time the Jacobian is computed within a single nonlinear solve, 2 means every second time
         the Jacobian is built etc. -2 indicates rebuild preconditioner at next chance but then never rebuild after that

  Options Database Keys:
+ -snes_lag_jacobian_persists <true,false>       - sets the persistence through multiple `SNESSolve()`
. -snes_lag_jacobian <-2,1,2,...>                - sets the lag
. -snes_lag_preconditioner_persists <true,false> - sets the persistence through multiple `SNESSolve()`
- -snes_lag_preconditioner <-2,1,2,...>          - sets the lag

  Level: intermediate

  Notes:
  The default is 1

  The preconditioner is ALWAYS built in the first iteration of a nonlinear solve unless lag is -1 or `SNESSetLagPreconditionerPersists()` was called

  `SNESSetLagPreconditionerPersists()` allows using the same uniform lagging (for example every second linear solve) across multiple nonlinear solves.

.seealso: [](ch_snes), `SNESSetTrustRegionTolerance()`, `SNESGetLagPreconditioner()`, `SNESSetLagJacobian()`, `SNESGetLagJacobian()`, `SNESSetLagPreconditionerPersists()`,
          `SNESSetLagJacobianPersists()`, `SNES`, `SNESSolve()`
@*/
PetscErrorCode SNESSetLagPreconditioner(SNES snes, PetscInt lag)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCheck(lag >= -2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Lag must be -2, -1, 1 or greater");
  PetscCheck(lag, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Lag cannot be 0");
  PetscValidLogicalCollectiveInt(snes, lag, 2);
  snes->lagpreconditioner = lag;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetGridSequence - sets the number of steps of grid sequencing that `SNES` will do

  Logically Collective

  Input Parameters:
+ snes  - the `SNES` context
- steps - the number of refinements to do, defaults to 0

  Options Database Key:
. -snes_grid_sequence <steps> - Use grid sequencing to generate initial guess

  Level: intermediate

  Note:
  Use `SNESGetSolution()` to extract the fine grid solution after grid sequencing.

.seealso: [](ch_snes), `SNES`, `SNESSetTrustRegionTolerance()`, `SNESGetLagPreconditioner()`, `SNESSetLagJacobian()`, `SNESGetLagJacobian()`, `SNESGetGridSequence()`,
          `SNESetDM()`
@*/
PetscErrorCode SNESSetGridSequence(SNES snes, PetscInt steps)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidLogicalCollectiveInt(snes, steps, 2);
  snes->gridsequence = steps;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetGridSequence - gets the number of steps of grid sequencing that `SNES` will do

  Logically Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. steps - the number of refinements to do, defaults to 0

  Level: intermediate

.seealso: [](ch_snes), `SNESSetTrustRegionTolerance()`, `SNESGetLagPreconditioner()`, `SNESSetLagJacobian()`, `SNESGetLagJacobian()`, `SNESSetGridSequence()`
@*/
PetscErrorCode SNESGetGridSequence(SNES snes, PetscInt *steps)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  *steps = snes->gridsequence;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetLagPreconditioner - Return how often the preconditioner is rebuilt

  Not Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. lag - -1 indicates NEVER rebuild, 1 means rebuild every time the Jacobian is computed within a single nonlinear solve, 2 means every second time
         the Jacobian is built etc. -2 indicates rebuild preconditioner at next chance but then never rebuild after that

  Level: intermediate

  Notes:
  The default is 1

  The preconditioner is ALWAYS built in the first iteration of a nonlinear solve unless lag is -1

.seealso: [](ch_snes), `SNES`, `SNESSetTrustRegionTolerance()`, `SNESSetLagPreconditioner()`, `SNESSetLagJacobianPersists()`, `SNESSetLagPreconditionerPersists()`
@*/
PetscErrorCode SNESGetLagPreconditioner(SNES snes, PetscInt *lag)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  *lag = snes->lagpreconditioner;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetLagJacobian - Set when the Jacobian is rebuilt in the nonlinear solve. See `SNESSetLagPreconditioner()` for determining how
  often the preconditioner is rebuilt.

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
- lag  - -1 indicates NEVER rebuild, 1 means rebuild every time the Jacobian is computed within a single nonlinear solve, 2 means every second time
         the Jacobian is built etc. -2 means rebuild at next chance but then never again

  Options Database Keys:
+ -snes_lag_jacobian_persists <true,false>       - sets the persistence through multiple SNES solves
. -snes_lag_jacobian <-2,1,2,...>                - sets the lag
. -snes_lag_preconditioner_persists <true,false> - sets the persistence through multiple SNES solves
- -snes_lag_preconditioner <-2,1,2,...>          - sets the lag.

  Level: intermediate

  Notes:
  The default is 1

  The Jacobian is ALWAYS built in the first iteration of a nonlinear solve unless lag is -1

  If  -1 is used before the very first nonlinear solve the CODE WILL FAIL! because no Jacobian is used, use -2 to indicate you want it recomputed
  at the next Newton step but never again (unless it is reset to another value)

.seealso: [](ch_snes), `SNES`, `SNESSetTrustRegionTolerance()`, `SNESGetLagPreconditioner()`, `SNESSetLagPreconditioner()`, `SNESGetLagJacobianPersists()`, `SNESSetLagPreconditionerPersists()`
@*/
PetscErrorCode SNESSetLagJacobian(SNES snes, PetscInt lag)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCheck(lag >= -2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Lag must be -2, -1, 1 or greater");
  PetscCheck(lag, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Lag cannot be 0");
  PetscValidLogicalCollectiveInt(snes, lag, 2);
  snes->lagjacobian = lag;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetLagJacobian - Get how often the Jacobian is rebuilt. See `SNESGetLagPreconditioner()` to determine when the preconditioner is rebuilt

  Not Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. lag - -1 indicates NEVER rebuild, 1 means rebuild every time the Jacobian is computed within a single nonlinear solve, 2 means every second time
         the Jacobian is built etc.

  Level: intermediate

  Notes:
  The default is 1

  The jacobian is ALWAYS built in the first iteration of a nonlinear solve unless lag is -1 or `SNESSetLagJacobianPersists()` was called.

.seealso: [](ch_snes), `SNES`, `SNESSetTrustRegionTolerance()`, `SNESSetLagJacobian()`, `SNESSetLagPreconditioner()`, `SNESGetLagPreconditioner()`, `SNESSetLagJacobianPersists()`, `SNESSetLagPreconditionerPersists()`

@*/
PetscErrorCode SNESGetLagJacobian(SNES snes, PetscInt *lag)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  *lag = snes->lagjacobian;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetLagJacobianPersists - Set whether or not the Jacobian lagging persists through multiple nonlinear solves

  Logically collective

  Input Parameters:
+ snes - the `SNES` context
- flg  - jacobian lagging persists if true

  Options Database Keys:
+ -snes_lag_jacobian_persists <true,false>       - sets the persistence through multiple SNES solves
. -snes_lag_jacobian <-2,1,2,...>                - sets the lag
. -snes_lag_preconditioner_persists <true,false> - sets the persistence through multiple SNES solves
- -snes_lag_preconditioner <-2,1,2,...>          - sets the lag

  Level: advanced

  Notes:
  Normally when `SNESSetLagJacobian()` is used, the Jacobian is always rebuilt at the beginning of each new nonlinear solve, this removes that behavior

  This is useful both for nonlinear preconditioning, where it's appropriate to have the Jacobian be stale by
  several solves, and for implicit time-stepping, where Jacobian lagging in the inner nonlinear solve over several
  timesteps may present huge efficiency gains.

.seealso: [](ch_snes), `SNES`, `SNESSetLagPreconditionerPersists()`, `SNESSetLagJacobian()`, `SNESGetLagJacobian()`, `SNESGetNPC()`
@*/
PetscErrorCode SNESSetLagJacobianPersists(SNES snes, PetscBool flg)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidLogicalCollectiveBool(snes, flg, 2);
  snes->lagjac_persist = flg;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetLagPreconditionerPersists - Set whether or not the preconditioner lagging persists through multiple nonlinear solves

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
- flg  - preconditioner lagging persists if true

  Options Database Keys:
+ -snes_lag_jacobian_persists <true,false>       - sets the persistence through multiple SNES solves
. -snes_lag_jacobian <-2,1,2,...>                - sets the lag
. -snes_lag_preconditioner_persists <true,false> - sets the persistence through multiple SNES solves
- -snes_lag_preconditioner <-2,1,2,...>          - sets the lag

  Level: developer

  Notes:
  Normally when `SNESSetLagPreconditioner()` is used, the preconditioner is always rebuilt at the beginning of each new nonlinear solve, this removes that behavior

  This is useful both for nonlinear preconditioning, where it's appropriate to have the preconditioner be stale
  by several solves, and for implicit time-stepping, where preconditioner lagging in the inner nonlinear solve over
  several timesteps may present huge efficiency gains.

.seealso: [](ch_snes), `SNES`, `SNESSetLagJacobianPersists()`, `SNESSetLagJacobian()`, `SNESGetLagJacobian()`, `SNESGetNPC()`, `SNESSetLagPreconditioner()`
@*/
PetscErrorCode SNESSetLagPreconditionerPersists(SNES snes, PetscBool flg)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidLogicalCollectiveBool(snes, flg, 2);
  snes->lagpre_persist = flg;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetForceIteration - force `SNESSolve()` to take at least one iteration regardless of the initial residual norm

  Logically Collective

  Input Parameters:
+ snes  - the `SNES` context
- force - `PETSC_TRUE` require at least one iteration

  Options Database Key:
. -snes_force_iteration <force> - Sets forcing an iteration

  Level: intermediate

  Note:
  This is used sometimes with `TS` to prevent `TS` from detecting a false steady state solution

.seealso: [](ch_snes), `SNES`, `TS`, `SNESSetTrustRegionTolerance()`, `SNESSetDivergenceTolerance()`
@*/
PetscErrorCode SNESSetForceIteration(SNES snes, PetscBool force)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  snes->forceiteration = force;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetForceIteration - Check whether or not `SNESSolve()` take at least one iteration regardless of the initial residual norm

  Logically Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. force - `PETSC_TRUE` requires at least one iteration.

  Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESSetForceIteration()`, `SNESSetTrustRegionTolerance()`, `SNESSetDivergenceTolerance()`
@*/
PetscErrorCode SNESGetForceIteration(SNES snes, PetscBool *force)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  *force = snes->forceiteration;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetTolerances - Sets `SNES` various parameters used in convergence tests.

  Logically Collective

  Input Parameters:
+ snes   - the `SNES` context
. abstol - absolute convergence tolerance
. rtol   - relative convergence tolerance
. stol   - convergence tolerance in terms of the norm of the change in the solution between steps,  || delta x || < stol*|| x ||
. maxit  - maximum number of iterations, default 50.
- maxf   - maximum number of function evaluations (-1 indicates no limit), default 1000

  Options Database Keys:
+ -snes_atol <abstol>    - Sets abstol
. -snes_rtol <rtol>      - Sets rtol
. -snes_stol <stol>      - Sets stol
. -snes_max_it <maxit>   - Sets maxit
- -snes_max_funcs <maxf> - Sets maxf

  Level: intermediate

.seealso: [](ch_snes), `SNESolve()`, `SNES`, `SNESSetTrustRegionTolerance()`, `SNESSetDivergenceTolerance()`, `SNESSetForceIteration()`
@*/
PetscErrorCode SNESSetTolerances(SNES snes, PetscReal abstol, PetscReal rtol, PetscReal stol, PetscInt maxit, PetscInt maxf)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidLogicalCollectiveReal(snes, abstol, 2);
  PetscValidLogicalCollectiveReal(snes, rtol, 3);
  PetscValidLogicalCollectiveReal(snes, stol, 4);
  PetscValidLogicalCollectiveInt(snes, maxit, 5);
  PetscValidLogicalCollectiveInt(snes, maxf, 6);

  if (abstol != (PetscReal)PETSC_DEFAULT) {
    PetscCheck(abstol >= 0.0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Absolute tolerance %g must be non-negative", (double)abstol);
    snes->abstol = abstol;
  }
  if (rtol != (PetscReal)PETSC_DEFAULT) {
    PetscCheck(rtol >= 0.0 && 1.0 > rtol, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Relative tolerance %g must be non-negative and less than 1.0", (double)rtol);
    snes->rtol = rtol;
  }
  if (stol != (PetscReal)PETSC_DEFAULT) {
    PetscCheck(stol >= 0.0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Step tolerance %g must be non-negative", (double)stol);
    snes->stol = stol;
  }
  if (maxit != PETSC_DEFAULT) {
    PetscCheck(maxit >= 0, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Maximum number of iterations %" PetscInt_FMT " must be non-negative", maxit);
    snes->max_its = maxit;
  }
  if (maxf != PETSC_DEFAULT) {
    PetscCheck(maxf >= -1, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_OUTOFRANGE, "Maximum number of function evaluations %" PetscInt_FMT " must be -1 or nonnegative", maxf);
    snes->max_funcs = maxf;
  }
  snes->tolerancesset = PETSC_TRUE;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetDivergenceTolerance - Sets the divergence tolerance used for the `SNES` divergence test.

  Logically Collective

  Input Parameters:
+ snes   - the `SNES` context
- divtol - the divergence tolerance. Use -1 to deactivate the test, default is 1e4

  Options Database Key:
. -snes_divergence_tolerance <divtol> - Sets `divtol`

  Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetTolerances()`, `SNESGetDivergenceTolerance`
@*/
PetscErrorCode SNESSetDivergenceTolerance(SNES snes, PetscReal divtol)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidLogicalCollectiveReal(snes, divtol, 2);

  if (divtol != (PetscReal)PETSC_DEFAULT) {
    snes->divtol = divtol;
  } else {
    snes->divtol = 1.0e4;
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetTolerances - Gets various parameters used in convergence tests.

  Not Collective

  Input Parameters:
+ snes  - the `SNES` context
. atol  - absolute convergence tolerance
. rtol  - relative convergence tolerance
. stol  - convergence tolerance in terms of the norm
           of the change in the solution between steps
. maxit - maximum number of iterations
- maxf  - maximum number of function evaluations

  Level: intermediate

  Note:
  The user can specify `NULL` for any parameter that is not needed.

.seealso: [](ch_snes), `SNES`, `SNESSetTolerances()`
@*/
PetscErrorCode SNESGetTolerances(SNES snes, PetscReal *atol, PetscReal *rtol, PetscReal *stol, PetscInt *maxit, PetscInt *maxf)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (atol) *atol = snes->abstol;
  if (rtol) *rtol = snes->rtol;
  if (stol) *stol = snes->stol;
  if (maxit) *maxit = snes->max_its;
  if (maxf) *maxf = snes->max_funcs;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetDivergenceTolerance - Gets divergence tolerance used in divergence test.

  Not Collective

  Input Parameters:
+ snes   - the `SNES` context
- divtol - divergence tolerance

  Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESSetDivergenceTolerance()`
@*/
PetscErrorCode SNESGetDivergenceTolerance(SNES snes, PetscReal *divtol)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (divtol) *divtol = snes->divtol;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetTrustRegionTolerance - Sets the trust region parameter tolerance.

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context
- tol  - tolerance

  Options Database Key:
. -snes_tr_tol <tol> - Sets tol

  Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESNEWTONTR`, `SNESSetTolerances()`
@*/
PetscErrorCode SNESSetTrustRegionTolerance(SNES snes, PetscReal tol)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidLogicalCollectiveReal(snes, tol, 2);
  snes->deltatol = tol;
  PetscFunctionReturn(PETSC_SUCCESS);
}

PETSC_INTERN PetscErrorCode SNESMonitorRange_Private(SNES, PetscInt, PetscReal *);

PetscErrorCode SNESMonitorLGRange(SNES snes, PetscInt n, PetscReal rnorm, void *monctx)
{
  PetscDrawLG      lg;
  PetscReal        x, y, per;
  PetscViewer      v = (PetscViewer)monctx;
  static PetscReal prev; /* should be in the context */
  PetscDraw        draw;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(v, PETSC_VIEWER_CLASSID, 4);
  PetscCall(PetscViewerDrawGetDrawLG(v, 0, &lg));
  if (!n) PetscCall(PetscDrawLGReset(lg));
  PetscCall(PetscDrawLGGetDraw(lg, &draw));
  PetscCall(PetscDrawSetTitle(draw, "Residual norm"));
  x = (PetscReal)n;
  if (rnorm > 0.0) y = PetscLog10Real(rnorm);
  else y = -15.0;
  PetscCall(PetscDrawLGAddPoint(lg, &x, &y));
  if (n < 20 || !(n % 5) || snes->reason) {
    PetscCall(PetscDrawLGDraw(lg));
    PetscCall(PetscDrawLGSave(lg));
  }

  PetscCall(PetscViewerDrawGetDrawLG(v, 1, &lg));
  if (!n) PetscCall(PetscDrawLGReset(lg));
  PetscCall(PetscDrawLGGetDraw(lg, &draw));
  PetscCall(PetscDrawSetTitle(draw, "% elements > .2*max element"));
  PetscCall(SNESMonitorRange_Private(snes, n, &per));
  x = (PetscReal)n;
  y = 100.0 * per;
  PetscCall(PetscDrawLGAddPoint(lg, &x, &y));
  if (n < 20 || !(n % 5) || snes->reason) {
    PetscCall(PetscDrawLGDraw(lg));
    PetscCall(PetscDrawLGSave(lg));
  }

  PetscCall(PetscViewerDrawGetDrawLG(v, 2, &lg));
  if (!n) {
    prev = rnorm;
    PetscCall(PetscDrawLGReset(lg));
  }
  PetscCall(PetscDrawLGGetDraw(lg, &draw));
  PetscCall(PetscDrawSetTitle(draw, "(norm -oldnorm)/oldnorm"));
  x = (PetscReal)n;
  y = (prev - rnorm) / prev;
  PetscCall(PetscDrawLGAddPoint(lg, &x, &y));
  if (n < 20 || !(n % 5) || snes->reason) {
    PetscCall(PetscDrawLGDraw(lg));
    PetscCall(PetscDrawLGSave(lg));
  }

  PetscCall(PetscViewerDrawGetDrawLG(v, 3, &lg));
  if (!n) PetscCall(PetscDrawLGReset(lg));
  PetscCall(PetscDrawLGGetDraw(lg, &draw));
  PetscCall(PetscDrawSetTitle(draw, "(norm -oldnorm)/oldnorm*(% > .2 max)"));
  x = (PetscReal)n;
  y = (prev - rnorm) / (prev * per);
  if (n > 2) { /*skip initial crazy value */
    PetscCall(PetscDrawLGAddPoint(lg, &x, &y));
  }
  if (n < 20 || !(n % 5) || snes->reason) {
    PetscCall(PetscDrawLGDraw(lg));
    PetscCall(PetscDrawLGSave(lg));
  }
  prev = rnorm;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESConverged - Run the convergence test and update the `SNESConvergedReason`.

  Collective

  Input Parameters:
+ snes  - the `SNES` context
. it    - current iteration
. xnorm - 2-norm of current iterate
. snorm - 2-norm of current step
- fnorm - 2-norm of function

  Level: developer

  Note:
  This routine is called by the `SNESSolve()` implementations.
  It does not typically need to be called by the user.

.seealso: [](ch_snes), `SNES`, `SNESSolve`, `SNESSetConvergenceTest()`, `SNESGetConvergenceTest()`
@*/
PetscErrorCode SNESConverged(SNES snes, PetscInt it, PetscReal xnorm, PetscReal snorm, PetscReal fnorm)
{
  PetscFunctionBegin;
  if (!snes->reason) {
    if (snes->normschedule == SNES_NORM_ALWAYS) PetscUseTypeMethod(snes, converged, it, xnorm, snorm, fnorm, &snes->reason, snes->cnvP);
    if (it == snes->max_its && !snes->reason) {
      if (snes->normschedule == SNES_NORM_ALWAYS) {
        PetscCall(PetscInfo(snes, "Maximum number of iterations has been reached: %" PetscInt_FMT "\n", snes->max_its));
        snes->reason = SNES_DIVERGED_MAX_IT;
      } else snes->reason = SNES_CONVERGED_ITS;
    }
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESMonitor - runs the user provided monitor routines, if they exist

  Collective

  Input Parameters:
+ snes  - nonlinear solver context obtained from `SNESCreate()`
. iter  - iteration number
- rnorm - relative norm of the residual

  Level: developer

  Note:
  This routine is called by the `SNESSolve()` implementations.
  It does not typically need to be called by the user.

.seealso: [](ch_snes), `SNES`, `SNESMonitorSet()`
@*/
PetscErrorCode SNESMonitor(SNES snes, PetscInt iter, PetscReal rnorm)
{
  PetscInt i, n = snes->numbermonitors;

  PetscFunctionBegin;
  if (n > 0) SNESCheckFunctionNorm(snes, rnorm);
  PetscCall(VecLockReadPush(snes->vec_sol));
  for (i = 0; i < n; i++) PetscCall((*snes->monitor[i])(snes, iter, rnorm, snes->monitorcontext[i]));
  PetscCall(VecLockReadPop(snes->vec_sol));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* ------------ Routines to set performance monitoring options ----------- */

/*MC
    SNESMonitorFunction - functional form passed to `SNESMonitorSet()` to monitor convergence of nonlinear solver

     Synopsis:
     #include <petscsnes.h>
    PetscErrorCode SNESMonitorFunction(SNES snes, PetscInt its, PetscReal norm, void *mctx)

     Collective

    Input Parameters:
+    snes - the `SNES` context
.    its - iteration number
.    norm - 2-norm function value (may be estimated)
-    mctx - [optional] monitoring context

   Level: advanced

.seealso: [](ch_snes), `SNESMonitorSet()`, `SNESMonitorSet()`, `SNESMonitorGet()`
M*/

/*@C
  SNESMonitorSet - Sets an ADDITIONAL function that is to be used at every
  iteration of the nonlinear solver to display the iteration's
  progress.

  Logically Collective

  Input Parameters:
+ snes           - the `SNES` context
. f              - the monitor function,  for the calling sequence see `SNESMonitorFunction`
. mctx           - [optional] user-defined context for private data for the monitor routine (use `NULL` if no context is desired)
- monitordestroy - [optional] routine that frees monitor context (may be `NULL`)

  Options Database Keys:
+ -snes_monitor               - sets `SNESMonitorDefault()`
. -snes_monitor draw::draw_lg - sets line graph monitor,
- -snes_monitor_cancel        - cancels all monitors that have been hardwired into a code by calls to `SNESMonitorSet()`, but does not cancel those set via
                            the options database.

  Level: intermediate

  Note:
  Several different monitoring routines may be set by calling
  `SNESMonitorSet()` multiple times; all will be called in the
  order in which they were set.

  Fortran Note:
  Only a single monitor function can be set for each `SNES` object

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESMonitorDefault()`, `SNESMonitorCancel()`, `SNESMonitorFunction`
@*/
PetscErrorCode SNESMonitorSet(SNES snes, PetscErrorCode (*f)(SNES, PetscInt, PetscReal, void *), void *mctx, PetscErrorCode (*monitordestroy)(void **))
{
  PetscInt  i;
  PetscBool identical;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  for (i = 0; i < snes->numbermonitors; i++) {
    PetscCall(PetscMonitorCompare((PetscErrorCode(*)(void))f, mctx, monitordestroy, (PetscErrorCode(*)(void))snes->monitor[i], snes->monitorcontext[i], snes->monitordestroy[i], &identical));
    if (identical) PetscFunctionReturn(PETSC_SUCCESS);
  }
  PetscCheck(snes->numbermonitors < MAXSNESMONITORS, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many monitors set");
  snes->monitor[snes->numbermonitors]          = f;
  snes->monitordestroy[snes->numbermonitors]   = monitordestroy;
  snes->monitorcontext[snes->numbermonitors++] = (void *)mctx;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESMonitorCancel - Clears all the monitor functions for a `SNES` object.

  Logically Collective

  Input Parameter:
. snes - the `SNES` context

  Options Database Key:
. -snes_monitor_cancel - cancels all monitors that have been hardwired
    into a code by calls to `SNESMonitorSet()`, but does not cancel those
    set via the options database

  Level: intermediate

  Note:
  There is no way to clear one specific monitor from a `SNES` object.

.seealso: [](ch_snes), `SNES`, `SNESMonitorGet()`, `SNESMonitorDefault()`, `SNESMonitorSet()`
@*/
PetscErrorCode SNESMonitorCancel(SNES snes)
{
  PetscInt i;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  for (i = 0; i < snes->numbermonitors; i++) {
    if (snes->monitordestroy[i]) PetscCall((*snes->monitordestroy[i])(&snes->monitorcontext[i]));
  }
  snes->numbermonitors = 0;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*MC
    SNESConvergenceTestFunction - functional form used for testing of convergence of nonlinear solver

     Synopsis:
     #include <petscsnes.h>
     PetscErrorCode SNESConvergenceTest(SNES snes, PetscInt it, PetscReal xnorm, PetscReal gnorm, PetscReal f, SNESConvergedReason *reason, void *cctx)

     Collective

    Input Parameters:
+    snes - the `SNES` context
.    it - current iteration (0 is the first and is before any Newton step)
.    xnorm - 2-norm of current iterate
.    gnorm - 2-norm of current step
.    f - 2-norm of function
-    cctx - [optional] convergence context

    Output Parameter:
.    reason - reason for convergence/divergence, only needs to be set when convergence or divergence is detected

   Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESSolve`, `SNESSetConvergenceTest()`, `SNESGetConvergenceTest()`
M*/

/*@C
  SNESSetConvergenceTest - Sets the function that is to be used
  to test for convergence of the nonlinear iterative solution.

  Logically Collective

  Input Parameters:
+ snes                        - the `SNES` context
. SNESConvergenceTestFunction - routine to test for convergence
. cctx                        - [optional] context for private data for the convergence routine  (may be `NULL`)
- destroy                     - [optional] destructor for the context (may be `NULL`; `PETSC_NULL_FUNCTION` in Fortran)

  Level: advanced

.seealso: [](ch_snes), `SNES`, `SNESConvergedDefault()`, `SNESConvergedSkip()`, `SNESConvergenceTestFunction`
@*/
PetscErrorCode SNESSetConvergenceTest(SNES snes, PetscErrorCode (*SNESConvergenceTestFunction)(SNES, PetscInt, PetscReal, PetscReal, PetscReal, SNESConvergedReason *, void *), void *cctx, PetscErrorCode (*destroy)(void *))
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (!SNESConvergenceTestFunction) SNESConvergenceTestFunction = SNESConvergedSkip;
  if (snes->ops->convergeddestroy) PetscCall((*snes->ops->convergeddestroy)(snes->cnvP));
  snes->ops->converged        = SNESConvergenceTestFunction;
  snes->ops->convergeddestroy = destroy;
  snes->cnvP                  = cctx;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetConvergedReason - Gets the reason the `SNES` iteration was stopped.

  Not Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. reason - negative value indicates diverged, positive value converged, see `SNESConvergedReason` for the individual convergence tests for complete lists

  Options Database Key:
. -snes_converged_reason - prints the reason to standard out

  Level: intermediate

  Note:
  Should only be called after the call the `SNESSolve()` is complete, if it is called earlier it returns the value `SNES__CONVERGED_ITERATING`.

.seealso: [](ch_snes), `SNESSolve()`, `SNESSetConvergenceTest()`, `SNESSetConvergedReason()`, `SNESConvergedReason`, `SNESGetConvergedReasonString()`
@*/
PetscErrorCode SNESGetConvergedReason(SNES snes, SNESConvergedReason *reason)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(reason, 2);
  *reason = snes->reason;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESGetConvergedReasonString - Return a human readable string for `SNESConvergedReason`

  Not Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. strreason - a human readable string that describes `SNES` converged reason

  Level: beginner

.seealso: [](ch_snes), `SNES`, `SNESGetConvergedReason()`
@*/
PetscErrorCode SNESGetConvergedReasonString(SNES snes, const char **strreason)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(strreason, 2);
  *strreason = SNESConvergedReasons[snes->reason];
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetConvergedReason - Sets the reason the `SNES` iteration was stopped.

  Not Collective

  Input Parameters:
+ snes   - the `SNES` context
- reason - negative value indicates diverged, positive value converged, see `SNESConvergedReason` or the
            manual pages for the individual convergence tests for complete lists

  Level: developer

  Developer Note:
  Called inside the various `SNESSolve()` implementations

.seealso: [](ch_snes), `SNESGetConvergedReason()`, `SNESSetConvergenceTest()`, `SNESConvergedReason`
@*/
PetscErrorCode SNESSetConvergedReason(SNES snes, SNESConvergedReason reason)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCheck(!snes->errorifnotconverged || reason > 0, PetscObjectComm((PetscObject)snes), PETSC_ERR_PLIB, "SNES code should have previously errored due to negative reason");
  snes->reason = reason;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetConvergenceHistory - Sets the arrays used to hold the convergence history.

  Logically Collective

  Input Parameters:
+ snes  - iterative context obtained from `SNESCreate()`
. a     - array to hold history, this array will contain the function norms computed at each step
. its   - integer array holds the number of linear iterations for each solve.
. na    - size of `a` and `its`
- reset - `PETSC_TRUE` indicates each new nonlinear solve resets the history counter to zero,
           else it continues storing new values for new nonlinear solves after the old ones

  Level: intermediate

  Notes:
  If 'a' and 'its' are `NULL` then space is allocated for the history. If 'na' `PETSC_DECIDE` or `PETSC_DEFAULT` then a
  default array of length 10000 is allocated.

  This routine is useful, e.g., when running a code for purposes
  of accurate performance monitoring, when no I/O should be done
  during the section of code that is being timed.

  If the arrays run out of space after a number of iterations then the later values are not saved in the history

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESGetConvergenceHistory()`
@*/
PetscErrorCode SNESSetConvergenceHistory(SNES snes, PetscReal a[], PetscInt its[], PetscInt na, PetscBool reset)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (a) PetscAssertPointer(a, 2);
  if (its) PetscAssertPointer(its, 3);
  if (!a) {
    if (na == PETSC_DECIDE || na == PETSC_DEFAULT) na = 1000;
    PetscCall(PetscCalloc2(na, &a, na, &its));
    snes->conv_hist_alloc = PETSC_TRUE;
  }
  snes->conv_hist       = a;
  snes->conv_hist_its   = its;
  snes->conv_hist_max   = (size_t)na;
  snes->conv_hist_len   = 0;
  snes->conv_hist_reset = reset;
  PetscFunctionReturn(PETSC_SUCCESS);
}

#if defined(PETSC_HAVE_MATLAB)
  #include <engine.h> /* MATLAB include file */
  #include <mex.h>    /* MATLAB include file */

PETSC_EXTERN mxArray *SNESGetConvergenceHistoryMatlab(SNES snes)
{
  mxArray   *mat;
  PetscInt   i;
  PetscReal *ar;

  mat = mxCreateDoubleMatrix(snes->conv_hist_len, 1, mxREAL);
  ar  = (PetscReal *)mxGetData(mat);
  for (i = 0; i < snes->conv_hist_len; i++) ar[i] = snes->conv_hist[i];
  return mat;
}
#endif

/*@C
  SNESGetConvergenceHistory - Gets the arrays used to hold the convergence history.

  Not Collective

  Input Parameter:
. snes - iterative context obtained from `SNESCreate()`

  Output Parameters:
+ a   - array to hold history, usually was set with `SNESSetConvergenceHistory()`
. its - integer array holds the number of linear iterations (or
         negative if not converged) for each solve.
- na  - size of `a` and `its`

  Level: intermediate

  Note:
  This routine is useful, e.g., when running a code for purposes
  of accurate performance monitoring, when no I/O should be done
  during the section of code that is being timed.

  Fortran Note:
  The calling sequence for this routine in Fortran is
.vb
    call SNESGetConvergenceHistory(SNES snes, integer na, integer ierr)
.ve

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetConvergenceHistory()`
@*/
PetscErrorCode SNESGetConvergenceHistory(SNES snes, PetscReal *a[], PetscInt *its[], PetscInt *na)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (a) *a = snes->conv_hist;
  if (its) *its = snes->conv_hist_its;
  if (na) *na = (PetscInt)snes->conv_hist_len;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESSetUpdate - Sets the general-purpose update function called
  at the beginning of every iteration of the nonlinear solve. Specifically
  it is called just before the Jacobian is "evaluated".

  Logically Collective

  Input Parameters:
+ snes - The nonlinear solver context
- func - The function

  Calling sequence of `func`:
+ snes - the nonlinear solver context
- step - The current step of the iteration

  Level: advanced

  Notes:
  This is NOT what one uses to update the ghost points before a function evaluation, that should be done at the beginning of your function provided
  to `SNESSetFunction()`, or `SNESSetPicard()`
  This is not used by most users.

  There are a variety of function hooks one many set that are called at different stages of the nonlinear solution process, see the functions listed below.

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetJacobian()`, `SNESLineSearchSetPreCheck()`, `SNESLineSearchSetPostCheck()`, `SNESNewtonTRSetPreCheck()`, `SNESNewtonTRSetPostCheck()`,
         `SNESMonitorSet()`, `SNESSetDivergenceTest()`
@*/
PetscErrorCode SNESSetUpdate(SNES snes, PetscErrorCode (*func)(SNES snes, PetscInt step))
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  snes->ops->update = func;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESConvergedReasonView - Displays the reason a `SNES` solve converged or diverged to a viewer

  Collective

  Input Parameters:
+ snes   - iterative context obtained from `SNESCreate()`
- viewer - the viewer to display the reason

  Options Database Keys:
+ -snes_converged_reason          - print reason for converged or diverged, also prints number of iterations
- -snes_converged_reason ::failed - only print reason and number of iterations when diverged

  Level: beginner

  Note:
  To change the format of the output call `PetscViewerPushFormat`(viewer,format) before this call. Use `PETSC_VIEWER_DEFAULT` for the default,
  use `PETSC_VIEWER_FAILED` to only display a reason if it fails.

.seealso: [](ch_snes), `SNESConvergedReason`, `PetscViewer`, `SNES`,
          `SNESCreate()`, `SNESSetUp()`, `SNESDestroy()`, `SNESSetTolerances()`, `SNESConvergedDefault()`, `SNESGetConvergedReason()`,
          `SNESConvergedReasonViewFromOptions()`,
          `PetscViewerPushFormat()`, `PetscViewerPopFormat()`
@*/
PetscErrorCode SNESConvergedReasonView(SNES snes, PetscViewer viewer)
{
  PetscViewerFormat format;
  PetscBool         isAscii;

  PetscFunctionBegin;
  if (!viewer) viewer = PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)snes));
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &isAscii));
  if (isAscii) {
    PetscCall(PetscViewerGetFormat(viewer, &format));
    PetscCall(PetscViewerASCIIAddTab(viewer, ((PetscObject)snes)->tablevel));
    if (format == PETSC_VIEWER_ASCII_INFO_DETAIL) {
      DM       dm;
      Vec      u;
      PetscDS  prob;
      PetscInt Nf, f;
      PetscErrorCode (**exactSol)(PetscInt, PetscReal, const PetscReal[], PetscInt, PetscScalar[], void *);
      void    **exactCtx;
      PetscReal error;

      PetscCall(SNESGetDM(snes, &dm));
      PetscCall(SNESGetSolution(snes, &u));
      PetscCall(DMGetDS(dm, &prob));
      PetscCall(PetscDSGetNumFields(prob, &Nf));
      PetscCall(PetscMalloc2(Nf, &exactSol, Nf, &exactCtx));
      for (f = 0; f < Nf; ++f) PetscCall(PetscDSGetExactSolution(prob, f, &exactSol[f], &exactCtx[f]));
      PetscCall(DMComputeL2Diff(dm, 0.0, exactSol, exactCtx, u, &error));
      PetscCall(PetscFree2(exactSol, exactCtx));
      if (error < 1.0e-11) PetscCall(PetscViewerASCIIPrintf(viewer, "L_2 Error: < 1.0e-11\n"));
      else PetscCall(PetscViewerASCIIPrintf(viewer, "L_2 Error: %g\n", (double)error));
    }
    if (snes->reason > 0 && format != PETSC_VIEWER_FAILED) {
      if (((PetscObject)snes)->prefix) {
        PetscCall(PetscViewerASCIIPrintf(viewer, "Nonlinear %s solve converged due to %s iterations %" PetscInt_FMT "\n", ((PetscObject)snes)->prefix, SNESConvergedReasons[snes->reason], snes->iter));
      } else {
        PetscCall(PetscViewerASCIIPrintf(viewer, "Nonlinear solve converged due to %s iterations %" PetscInt_FMT "\n", SNESConvergedReasons[snes->reason], snes->iter));
      }
    } else if (snes->reason <= 0) {
      if (((PetscObject)snes)->prefix) {
        PetscCall(PetscViewerASCIIPrintf(viewer, "Nonlinear %s solve did not converge due to %s iterations %" PetscInt_FMT "\n", ((PetscObject)snes)->prefix, SNESConvergedReasons[snes->reason], snes->iter));
      } else {
        PetscCall(PetscViewerASCIIPrintf(viewer, "Nonlinear solve did not converge due to %s iterations %" PetscInt_FMT "\n", SNESConvergedReasons[snes->reason], snes->iter));
      }
    }
    PetscCall(PetscViewerASCIISubtractTab(viewer, ((PetscObject)snes)->tablevel));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESConvergedReasonViewSet - Sets an ADDITIONAL function that is to be used at the
  end of the nonlinear solver to display the convergence reason of the nonlinear solver.

  Logically Collective

  Input Parameters:
+ snes              - the `SNES` context
. f                 - the `SNESConvergedReason` view function
. vctx              - [optional] user-defined context for private data for the `SNESConvergedReason` view function (use `NULL` if no context is desired)
- reasonviewdestroy - [optional] routine that frees the context (may be `NULL`)

  Calling sequence of `f`:
+ snes - the `SNES` context
- vctx - [optional] user-defined context for private data for the function

  Calling sequence of `reasonviewerdestroy`:
. vctx - [optional] user-defined context for private data for the function

  Options Database Keys:
+ -snes_converged_reason             - sets a default `SNESConvergedReasonView()`
- -snes_converged_reason_view_cancel - cancels all converged reason viewers that have been hardwired into a code by
                            calls to `SNESConvergedReasonViewSet()`, but does not cancel those set via the options database.

  Level: intermediate

  Note:
  Several different converged reason view routines may be set by calling
  `SNESConvergedReasonViewSet()` multiple times; all will be called in the
  order in which they were set.

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESConvergedReason`, `SNESGetConvergedReason()`, `SNESConvergedReasonView()`, `SNESConvergedReasonViewCancel()`
@*/
PetscErrorCode SNESConvergedReasonViewSet(SNES snes, PetscErrorCode (*f)(SNES snes, void *vctx), void *vctx, PetscErrorCode (*reasonviewdestroy)(void **vctx))
{
  PetscInt  i;
  PetscBool identical;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  for (i = 0; i < snes->numberreasonviews; i++) {
    PetscCall(PetscMonitorCompare((PetscErrorCode(*)(void))f, vctx, reasonviewdestroy, (PetscErrorCode(*)(void))snes->reasonview[i], snes->reasonviewcontext[i], snes->reasonviewdestroy[i], &identical));
    if (identical) PetscFunctionReturn(PETSC_SUCCESS);
  }
  PetscCheck(snes->numberreasonviews < MAXSNESREASONVIEWS, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many SNES reasonview set");
  snes->reasonview[snes->numberreasonviews]          = f;
  snes->reasonviewdestroy[snes->numberreasonviews]   = reasonviewdestroy;
  snes->reasonviewcontext[snes->numberreasonviews++] = (void *)vctx;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESConvergedReasonViewFromOptions - Processes command line options to determine if/how a `SNESConvergedReason` is to be viewed at the end of `SNESSolve()`
  All the user-provided convergedReasonView routines will be involved as well, if they exist.

  Collective

  Input Parameter:
. snes - the `SNES` object

  Level: advanced

.seealso: [](ch_snes), `SNES`, `SNESConvergedReason`, `SNESConvergedReasonViewSet()`, `SNESCreate()`, `SNESSetUp()`, `SNESDestroy()`,
          `SNESSetTolerances()`, `SNESConvergedDefault()`, `SNESGetConvergedReason()`, `SNESConvergedReasonView()`
@*/
PetscErrorCode SNESConvergedReasonViewFromOptions(SNES snes)
{
  PetscViewer       viewer;
  PetscBool         flg;
  static PetscBool  incall = PETSC_FALSE;
  PetscViewerFormat format;
  PetscInt          i;

  PetscFunctionBegin;
  if (incall) PetscFunctionReturn(PETSC_SUCCESS);
  incall = PETSC_TRUE;

  /* All user-provided viewers are called first, if they exist. */
  for (i = 0; i < snes->numberreasonviews; i++) PetscCall((*snes->reasonview[i])(snes, snes->reasonviewcontext[i]));

  /* Call PETSc default routine if users ask for it */
  PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_converged_reason", &viewer, &format, &flg));
  if (flg) {
    PetscCall(PetscViewerPushFormat(viewer, format));
    PetscCall(SNESConvergedReasonView(snes, viewer));
    PetscCall(PetscViewerPopFormat(viewer));
    PetscCall(PetscViewerDestroy(&viewer));
  }
  incall = PETSC_FALSE;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSolve - Solves a nonlinear system F(x) = b.

  Collective

  Input Parameters:
+ snes - the `SNES` context
. b    - the constant part of the equation F(x) = b, or `NULL` to use zero.
- x    - the solution vector.

  Level: beginner

  Note:
  The user should initialize the vector, `x`, with the initial guess
  for the nonlinear solve prior to calling `SNESSolve()` or use `SNESSetInitialSolution()`.  In particular,
  to employ an initial guess of zero, the user should explicitly set
  this vector to zero by calling `VecSet()`.

.seealso: [](ch_snes), `SNES`, `SNESCreate()`, `SNESDestroy()`, `SNESSetFunction()`, `SNESSetJacobian()`, `SNESSetGridSequence()`, `SNESGetSolution()`,
          `SNESNewtonTRSetPreCheck()`, `SNESNewtonTRGetPreCheck()`, `SNESNewtonTRSetPostCheck()`, `SNESNewtonTRGetPostCheck()`,
          `SNESLineSearchSetPostCheck()`, `SNESLineSearchGetPostCheck()`, `SNESLineSearchSetPreCheck()`, `SNESLineSearchGetPreCheck()`, `SNESSetInitialSolution()`
@*/
PetscErrorCode SNESSolve(SNES snes, Vec b, Vec x)
{
  PetscBool flg;
  PetscInt  grid;
  Vec       xcreated = NULL;
  DM        dm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (x) PetscValidHeaderSpecific(x, VEC_CLASSID, 3);
  if (x) PetscCheckSameComm(snes, 1, x, 3);
  if (b) PetscValidHeaderSpecific(b, VEC_CLASSID, 2);
  if (b) PetscCheckSameComm(snes, 1, b, 2);

  /* High level operations using the nonlinear solver */
  {
    PetscViewer       viewer;
    PetscViewerFormat format;
    PetscInt          num;
    PetscBool         flg;
    static PetscBool  incall = PETSC_FALSE;

    if (!incall) {
      /* Estimate the convergence rate of the discretization */
      PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_convergence_estimate", &viewer, &format, &flg));
      if (flg) {
        PetscConvEst conv;
        DM           dm;
        PetscReal   *alpha; /* Convergence rate of the solution error for each field in the L_2 norm */
        PetscInt     Nf;

        incall = PETSC_TRUE;
        PetscCall(SNESGetDM(snes, &dm));
        PetscCall(DMGetNumFields(dm, &Nf));
        PetscCall(PetscCalloc1(Nf, &alpha));
        PetscCall(PetscConvEstCreate(PetscObjectComm((PetscObject)snes), &conv));
        PetscCall(PetscConvEstSetSolver(conv, (PetscObject)snes));
        PetscCall(PetscConvEstSetFromOptions(conv));
        PetscCall(PetscConvEstSetUp(conv));
        PetscCall(PetscConvEstGetConvRate(conv, alpha));
        PetscCall(PetscViewerPushFormat(viewer, format));
        PetscCall(PetscConvEstRateView(conv, alpha, viewer));
        PetscCall(PetscViewerPopFormat(viewer));
        PetscCall(PetscViewerDestroy(&viewer));
        PetscCall(PetscConvEstDestroy(&conv));
        PetscCall(PetscFree(alpha));
        incall = PETSC_FALSE;
      }
      /* Adaptively refine the initial grid */
      num = 1;
      PetscCall(PetscOptionsGetInt(NULL, ((PetscObject)snes)->prefix, "-snes_adapt_initial", &num, &flg));
      if (flg) {
        DMAdaptor adaptor;

        incall = PETSC_TRUE;
        PetscCall(DMAdaptorCreate(PetscObjectComm((PetscObject)snes), &adaptor));
        PetscCall(DMAdaptorSetSolver(adaptor, snes));
        PetscCall(DMAdaptorSetSequenceLength(adaptor, num));
        PetscCall(DMAdaptorSetFromOptions(adaptor));
        PetscCall(DMAdaptorSetUp(adaptor));
        PetscCall(DMAdaptorAdapt(adaptor, x, DM_ADAPTATION_INITIAL, &dm, &x));
        PetscCall(DMAdaptorDestroy(&adaptor));
        incall = PETSC_FALSE;
      }
      /* Use grid sequencing to adapt */
      num = 0;
      PetscCall(PetscOptionsGetInt(NULL, ((PetscObject)snes)->prefix, "-snes_adapt_sequence", &num, NULL));
      if (num) {
        DMAdaptor adaptor;

        incall = PETSC_TRUE;
        PetscCall(DMAdaptorCreate(PetscObjectComm((PetscObject)snes), &adaptor));
        PetscCall(DMAdaptorSetSolver(adaptor, snes));
        PetscCall(DMAdaptorSetSequenceLength(adaptor, num));
        PetscCall(DMAdaptorSetFromOptions(adaptor));
        PetscCall(DMAdaptorSetUp(adaptor));
        PetscCall(DMAdaptorAdapt(adaptor, x, DM_ADAPTATION_SEQUENTIAL, &dm, &x));
        PetscCall(DMAdaptorDestroy(&adaptor));
        incall = PETSC_FALSE;
      }
    }
  }
  if (!x) x = snes->vec_sol;
  if (!x) {
    PetscCall(SNESGetDM(snes, &dm));
    PetscCall(DMCreateGlobalVector(dm, &xcreated));
    x = xcreated;
  }
  PetscCall(SNESViewFromOptions(snes, NULL, "-snes_view_pre"));

  for (grid = 0; grid < snes->gridsequence; grid++) PetscCall(PetscViewerASCIIPushTab(PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)snes))));
  for (grid = 0; grid < snes->gridsequence + 1; grid++) {
    /* set solution vector */
    if (!grid) PetscCall(PetscObjectReference((PetscObject)x));
    PetscCall(VecDestroy(&snes->vec_sol));
    snes->vec_sol = x;
    PetscCall(SNESGetDM(snes, &dm));

    /* set affine vector if provided */
    if (b) PetscCall(PetscObjectReference((PetscObject)b));
    PetscCall(VecDestroy(&snes->vec_rhs));
    snes->vec_rhs = b;

    if (snes->vec_rhs) PetscCheck(snes->vec_func != snes->vec_rhs, PETSC_COMM_SELF, PETSC_ERR_ARG_IDN, "Right hand side vector cannot be function vector");
    PetscCheck(snes->vec_func != snes->vec_sol, PETSC_COMM_SELF, PETSC_ERR_ARG_IDN, "Solution vector cannot be function vector");
    PetscCheck(snes->vec_rhs != snes->vec_sol, PETSC_COMM_SELF, PETSC_ERR_ARG_IDN, "Solution vector cannot be right hand side vector");
    if (!snes->vec_sol_update /* && snes->vec_sol */) PetscCall(VecDuplicate(snes->vec_sol, &snes->vec_sol_update));
    PetscCall(DMShellSetGlobalVector(dm, snes->vec_sol));
    PetscCall(SNESSetUp(snes));

    if (!grid) {
      if (snes->ops->computeinitialguess) PetscCallBack("SNES callback initial guess", (*snes->ops->computeinitialguess)(snes, snes->vec_sol, snes->initialguessP));
    }

    if (snes->conv_hist_reset) snes->conv_hist_len = 0;
    if (snes->counters_reset) {
      snes->nfuncs      = 0;
      snes->linear_its  = 0;
      snes->numFailures = 0;
    }

    snes->reason = SNES_CONVERGED_ITERATING;
    PetscCall(PetscLogEventBegin(SNES_Solve, snes, 0, 0, 0));
    PetscUseTypeMethod(snes, solve);
    PetscCall(PetscLogEventEnd(SNES_Solve, snes, 0, 0, 0));
    PetscCheck(snes->reason, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Internal error, solver %s returned without setting converged reason", ((PetscObject)snes)->type_name);
    snes->domainerror = PETSC_FALSE; /* clear the flag if it has been set */

    if (snes->lagjac_persist) snes->jac_iter += snes->iter;
    if (snes->lagpre_persist) snes->pre_iter += snes->iter;

    PetscCall(PetscOptionsGetViewer(PetscObjectComm((PetscObject)snes), ((PetscObject)snes)->options, ((PetscObject)snes)->prefix, "-snes_test_local_min", NULL, NULL, &flg));
    if (flg && !PetscPreLoadingOn) PetscCall(SNESTestLocalMin(snes));
    /* Call converged reason views. This may involve user-provided viewers as well */
    PetscCall(SNESConvergedReasonViewFromOptions(snes));

    if (snes->errorifnotconverged) PetscCheck(snes->reason >= 0, PetscObjectComm((PetscObject)snes), PETSC_ERR_NOT_CONVERGED, "SNESSolve has not converged");
    if (snes->reason < 0) break;
    if (grid < snes->gridsequence) {
      DM  fine;
      Vec xnew;
      Mat interp;

      PetscCall(DMRefine(snes->dm, PetscObjectComm((PetscObject)snes), &fine));
      PetscCheck(fine, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_INCOMP, "DMRefine() did not perform any refinement, cannot continue grid sequencing");
      PetscCall(DMCreateInterpolation(snes->dm, fine, &interp, NULL));
      PetscCall(DMCreateGlobalVector(fine, &xnew));
      PetscCall(MatInterpolate(interp, x, xnew));
      PetscCall(DMInterpolate(snes->dm, interp, fine));
      PetscCall(MatDestroy(&interp));
      x = xnew;

      PetscCall(SNESReset(snes));
      PetscCall(SNESSetDM(snes, fine));
      PetscCall(SNESResetFromOptions(snes));
      PetscCall(DMDestroy(&fine));
      PetscCall(PetscViewerASCIIPopTab(PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)snes))));
    }
  }
  PetscCall(SNESViewFromOptions(snes, NULL, "-snes_view"));
  PetscCall(VecViewFromOptions(snes->vec_sol, (PetscObject)snes, "-snes_view_solution"));
  PetscCall(DMMonitor(snes->dm));
  PetscCall(SNESMonitorPauseFinal_Internal(snes));

  PetscCall(VecDestroy(&xcreated));
  PetscCall(PetscObjectSAWsBlock((PetscObject)snes));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* --------- Internal routines for SNES Package --------- */

/*@C
  SNESSetType - Sets the method for the nonlinear solver.

  Collective

  Input Parameters:
+ snes - the `SNES` context
- type - a known method

  Options Database Key:
. -snes_type <type> - Sets the method; use -help for a list
   of available methods (for instance, newtonls or newtontr)

  Level: intermediate

  Notes:
  See "petsc/include/petscsnes.h" for available methods (for instance)
+    `SNESNEWTONLS` - Newton's method with line search
  (systems of nonlinear equations)
-    `SNESNEWTONTR` - Newton's method with trust region
  (systems of nonlinear equations)

  Normally, it is best to use the `SNESSetFromOptions()` command and then
  set the `SNES` solver type from the options database rather than by using
  this routine.  Using the options database provides the user with
  maximum flexibility in evaluating the many nonlinear solvers.
  The `SNESSetType()` routine is provided for those situations where it
  is necessary to set the nonlinear solver independently of the command
  line or options database.  This might be the case, for example, when
  the choice of solver changes during the execution of the program,
  and the user's application is taking responsibility for choosing the
  appropriate method.

  Developer Note:
  `SNESRegister()` adds a constructor for a new `SNESType` to `SNESList`, `SNESSetType()` locates
  the constructor in that list and calls it to create the specific object.

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESType`, `SNESCreate()`, `SNESDestroy()`, `SNESGetType()`, `SNESSetFromOptions()`
@*/
PetscErrorCode SNESSetType(SNES snes, SNESType type)
{
  PetscBool match;
  PetscErrorCode (*r)(SNES);

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(type, 2);

  PetscCall(PetscObjectTypeCompare((PetscObject)snes, type, &match));
  if (match) PetscFunctionReturn(PETSC_SUCCESS);

  PetscCall(PetscFunctionListFind(SNESList, type, &r));
  PetscCheck(r, PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_UNKNOWN_TYPE, "Unable to find requested SNES type %s", type);
  /* Destroy the previous private SNES context */
  PetscTryTypeMethod(snes, destroy);
  /* Reinitialize function pointers in SNESOps structure */
  snes->ops->setup          = NULL;
  snes->ops->solve          = NULL;
  snes->ops->view           = NULL;
  snes->ops->setfromoptions = NULL;
  snes->ops->destroy        = NULL;

  /* It may happen the user has customized the line search before calling SNESSetType */
  if (((PetscObject)snes)->type_name) PetscCall(SNESLineSearchDestroy(&snes->linesearch));

  /* Call the SNESCreate_XXX routine for this particular Nonlinear solver */
  snes->setupcalled = PETSC_FALSE;

  PetscCall(PetscObjectChangeTypeName((PetscObject)snes, type));
  PetscCall((*r)(snes));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESGetType - Gets the `SNES` method type and name (as a string).

  Not Collective

  Input Parameter:
. snes - nonlinear solver context

  Output Parameter:
. type - `SNES` method (a character string)

  Level: intermediate

.seealso: [](ch_snes), `SNESSetType()`, `SNESType`, `SNESSetFromOptions()`, `SNES`
@*/
PetscErrorCode SNESGetType(SNES snes, SNESType *type)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(type, 2);
  *type = ((PetscObject)snes)->type_name;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetSolution - Sets the solution vector for use by the `SNES` routines.

  Logically Collective

  Input Parameters:
+ snes - the `SNES` context obtained from `SNESCreate()`
- u    - the solution vector

  Level: beginner

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESGetSolution()`, `Vec`
@*/
PetscErrorCode SNESSetSolution(SNES snes, Vec u)
{
  DM dm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidHeaderSpecific(u, VEC_CLASSID, 2);
  PetscCall(PetscObjectReference((PetscObject)u));
  PetscCall(VecDestroy(&snes->vec_sol));

  snes->vec_sol = u;

  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMShellSetGlobalVector(dm, u));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetSolution - Returns the vector where the approximate solution is
  stored. This is the fine grid solution when using `SNESSetGridSequence()`.

  Not Collective, but `x` is parallel if `snes` is parallel

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. x - the solution

  Level: intermediate

.seealso: [](ch_snes), `SNESSetSolution()`, `SNESSolve()`, `SNES`, `SNESGetSolutionUpdate()`, `SNESGetFunction()`
@*/
PetscErrorCode SNESGetSolution(SNES snes, Vec *x)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(x, 2);
  *x = snes->vec_sol;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetSolutionUpdate - Returns the vector where the solution update is
  stored.

  Not Collective, but `x` is parallel if `snes` is parallel

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. x - the solution update

  Level: advanced

.seealso: [](ch_snes), `SNES`, `SNESGetSolution()`, `SNESGetFunction()`
@*/
PetscErrorCode SNESGetSolutionUpdate(SNES snes, Vec *x)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(x, 2);
  *x = snes->vec_sol_update;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESGetFunction - Returns the function that defines the nonlinear system set with `SNESSetFunction()`

  Not Collective, but `r` is parallel if `snes` is parallel. Collective if `r` is requested, but has not been created yet.

  Input Parameter:
. snes - the `SNES` context

  Output Parameters:
+ r   - the vector that is used to store residuals (or `NULL` if you don't want it)
. f   - the function (or `NULL` if you don't want it);  for calling sequence see `SNESFunction`
- ctx - the function context (or `NULL` if you don't want it)

  Level: advanced

  Note:
  The vector `r` DOES NOT, in general, contain the current value of the `SNES` nonlinear function

.seealso: [](ch_snes), `SNES`, `SNESSolve()`, `SNESSetFunction()`, `SNESGetSolution()`, `SNESFunction`
@*/
PetscErrorCode SNESGetFunction(SNES snes, Vec *r, PetscErrorCode (**f)(SNES, Vec, Vec, void *), void **ctx)
{
  DM dm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (r) {
    if (!snes->vec_func) {
      if (snes->vec_rhs) {
        PetscCall(VecDuplicate(snes->vec_rhs, &snes->vec_func));
      } else if (snes->vec_sol) {
        PetscCall(VecDuplicate(snes->vec_sol, &snes->vec_func));
      } else if (snes->dm) {
        PetscCall(DMCreateGlobalVector(snes->dm, &snes->vec_func));
      }
    }
    *r = snes->vec_func;
  }
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMSNESGetFunction(dm, f, ctx));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESGetNGS - Returns the function and context set with `SNESSetNGS()`

  Input Parameter:
. snes - the `SNES` context

  Output Parameters:
+ f   - the function (or `NULL`) see `SNESSetNGS()` for details
- ctx - the function context (or `NULL`)

  Level: advanced

.seealso: [](ch_snes), `SNESSetNGS()`, `SNESGetFunction()`
@*/
PetscErrorCode SNESGetNGS(SNES snes, PetscErrorCode (**f)(SNES, Vec, Vec, void *), void **ctx)
{
  DM dm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCall(SNESGetDM(snes, &dm));
  PetscCall(DMSNESGetNGS(dm, f, ctx));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESSetOptionsPrefix - Sets the prefix used for searching for all
  `SNES` options in the database.

  Logically Collective

  Input Parameters:
+ snes   - the `SNES` context
- prefix - the prefix to prepend to all option names

  Level: advanced

  Note:
  A hyphen (-) must NOT be given at the beginning of the prefix name.
  The first character of all runtime options is AUTOMATICALLY the hyphen.

.seealso: [](ch_snes), `SNES`, `SNESSetFromOptions()`, `SNESAppendOptionsPrefix()`
@*/
PetscErrorCode SNESSetOptionsPrefix(SNES snes, const char prefix[])
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCall(PetscObjectSetOptionsPrefix((PetscObject)snes, prefix));
  if (!snes->ksp) PetscCall(SNESGetKSP(snes, &snes->ksp));
  if (snes->linesearch) {
    PetscCall(SNESGetLineSearch(snes, &snes->linesearch));
    PetscCall(PetscObjectSetOptionsPrefix((PetscObject)snes->linesearch, prefix));
  }
  PetscCall(KSPSetOptionsPrefix(snes->ksp, prefix));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESAppendOptionsPrefix - Appends to the prefix used for searching for all
  `SNES` options in the database.

  Logically Collective

  Input Parameters:
+ snes   - the `SNES` context
- prefix - the prefix to prepend to all option names

  Level: advanced

  Note:
  A hyphen (-) must NOT be given at the beginning of the prefix name.
  The first character of all runtime options is AUTOMATICALLY the hyphen.

.seealso: [](ch_snes), `SNESGetOptionsPrefix()`, `SNESSetOptionsPrefix()`
@*/
PetscErrorCode SNESAppendOptionsPrefix(SNES snes, const char prefix[])
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCall(PetscObjectAppendOptionsPrefix((PetscObject)snes, prefix));
  if (!snes->ksp) PetscCall(SNESGetKSP(snes, &snes->ksp));
  if (snes->linesearch) {
    PetscCall(SNESGetLineSearch(snes, &snes->linesearch));
    PetscCall(PetscObjectAppendOptionsPrefix((PetscObject)snes->linesearch, prefix));
  }
  PetscCall(KSPAppendOptionsPrefix(snes->ksp, prefix));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESGetOptionsPrefix - Gets the prefix used for searching for all
  `SNES` options in the database.

  Not Collective

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. prefix - pointer to the prefix string used

  Level: advanced

  Fortran Note:
  The user should pass in a string 'prefix' of
  sufficient length to hold the prefix.

.seealso: [](ch_snes), `SNES`, `SNESSetOptionsPrefix()`, `SNESAppendOptionsPrefix()`
@*/
PetscErrorCode SNESGetOptionsPrefix(SNES snes, const char *prefix[])
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscCall(PetscObjectGetOptionsPrefix((PetscObject)snes, prefix));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  SNESRegister - Adds a method to the nonlinear solver package.

  Not Collective

  Input Parameters:
+ sname    - name of a new user-defined solver
- function - routine to create method context

  Level: advanced

  Note:
  `SNESRegister()` may be called multiple times to add several user-defined solvers.

  Example Usage:
.vb
   SNESRegister("my_solver", MySolverCreate);
.ve

  Then, your solver can be chosen with the procedural interface via
$     SNESSetType(snes, "my_solver")
  or at runtime via the option
$     -snes_type my_solver

.seealso: [](ch_snes), `SNESRegisterAll()`, `SNESRegisterDestroy()`
@*/
PetscErrorCode SNESRegister(const char sname[], PetscErrorCode (*function)(SNES))
{
  PetscFunctionBegin;
  PetscCall(SNESInitializePackage());
  PetscCall(PetscFunctionListAdd(&SNESList, sname, function));
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode SNESTestLocalMin(SNES snes)
{
  PetscInt    N, i, j;
  Vec         u, uh, fh;
  PetscScalar value;
  PetscReal   norm;

  PetscFunctionBegin;
  PetscCall(SNESGetSolution(snes, &u));
  PetscCall(VecDuplicate(u, &uh));
  PetscCall(VecDuplicate(u, &fh));

  /* currently only works for sequential */
  PetscCall(PetscPrintf(PetscObjectComm((PetscObject)snes), "Testing FormFunction() for local min\n"));
  PetscCall(VecGetSize(u, &N));
  for (i = 0; i < N; i++) {
    PetscCall(VecCopy(u, uh));
    PetscCall(PetscPrintf(PetscObjectComm((PetscObject)snes), "i = %" PetscInt_FMT "\n", i));
    for (j = -10; j < 11; j++) {
      value = PetscSign(j) * PetscExpReal(PetscAbs(j) - 10.0);
      PetscCall(VecSetValue(uh, i, value, ADD_VALUES));
      PetscCall(SNESComputeFunction(snes, uh, fh));
      PetscCall(VecNorm(fh, NORM_2, &norm));
      PetscCall(PetscPrintf(PetscObjectComm((PetscObject)snes), "       j norm %" PetscInt_FMT " %18.16e\n", j, (double)norm));
      value = -value;
      PetscCall(VecSetValue(uh, i, value, ADD_VALUES));
    }
  }
  PetscCall(VecDestroy(&uh));
  PetscCall(VecDestroy(&fh));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESKSPSetUseEW - Sets `SNES` to the use Eisenstat-Walker method for
  computing relative tolerance for linear solvers within an inexact
  Newton method.

  Logically Collective

  Input Parameters:
+ snes - `SNES` context
- flag - `PETSC_TRUE` or `PETSC_FALSE`

  Options Database Keys:
+ -snes_ksp_ew                       - use Eisenstat-Walker method for determining linear system convergence
. -snes_ksp_ew_version ver           - version of  Eisenstat-Walker method
. -snes_ksp_ew_rtol0 <rtol0>         - Sets rtol0
. -snes_ksp_ew_rtolmax <rtolmax>     - Sets rtolmax
. -snes_ksp_ew_gamma <gamma>         - Sets gamma
. -snes_ksp_ew_alpha <alpha>         - Sets alpha
. -snes_ksp_ew_alpha2 <alpha2>       - Sets alpha2
- -snes_ksp_ew_threshold <threshold> - Sets threshold

  Level: advanced

  Note:
  The default is to use a constant relative tolerance for
  the inner linear solvers.  Alternatively, one can use the
  Eisenstat-Walker method, where the relative convergence tolerance
  is reset at each Newton iteration according progress of the nonlinear
  solver.

  References:
.  - * S. C. Eisenstat and H. F. Walker, "Choosing the forcing terms in an inexact Newton method", SISC 17 (1), pp.16-32, 1996.

.seealso: [](ch_snes), `KSP`, `SNES`, `SNESKSPGetUseEW()`, `SNESKSPGetParametersEW()`, `SNESKSPSetParametersEW()`
@*/
PetscErrorCode SNESKSPSetUseEW(SNES snes, PetscBool flag)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidLogicalCollectiveBool(snes, flag, 2);
  snes->ksp_ewconv = flag;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESKSPGetUseEW - Gets if `SNES` is using Eisenstat-Walker method
  for computing relative tolerance for linear solvers within an
  inexact Newton method.

  Not Collective

  Input Parameter:
. snes - `SNES` context

  Output Parameter:
. flag - `PETSC_TRUE` or `PETSC_FALSE`

  Level: advanced

.seealso: [](ch_snes), `SNESKSPSetUseEW()`, `SNESKSPGetParametersEW()`, `SNESKSPSetParametersEW()`
@*/
PetscErrorCode SNESKSPGetUseEW(SNES snes, PetscBool *flag)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(flag, 2);
  *flag = snes->ksp_ewconv;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESKSPSetParametersEW - Sets parameters for Eisenstat-Walker
  convergence criteria for the linear solvers within an inexact
  Newton method.

  Logically Collective

  Input Parameters:
+ snes      - `SNES` context
. version   - version 1, 2 (default is 2), 3 or 4
. rtol_0    - initial relative tolerance (0 <= rtol_0 < 1)
. rtol_max  - maximum relative tolerance (0 <= rtol_max < 1)
. gamma     - multiplicative factor for version 2 rtol computation
             (0 <= gamma2 <= 1)
. alpha     - power for version 2 rtol computation (1 < alpha <= 2)
. alpha2    - power for safeguard
- threshold - threshold for imposing safeguard (0 < threshold < 1)

  Level: advanced

  Notes:
  Version 3 was contributed by Luis Chacon, June 2006.

  Use `PETSC_DEFAULT` to retain the default for any of the parameters.

.seealso: [](ch_snes), `SNES`, `SNESKSPSetUseEW()`, `SNESKSPGetUseEW()`, `SNESKSPGetParametersEW()`
@*/
PetscErrorCode SNESKSPSetParametersEW(SNES snes, PetscInt version, PetscReal rtol_0, PetscReal rtol_max, PetscReal gamma, PetscReal alpha, PetscReal alpha2, PetscReal threshold)
{
  SNESKSPEW *kctx;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  kctx = (SNESKSPEW *)snes->kspconvctx;
  PetscCheck(kctx, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "No Eisenstat-Walker context existing");
  PetscValidLogicalCollectiveInt(snes, version, 2);
  PetscValidLogicalCollectiveReal(snes, rtol_0, 3);
  PetscValidLogicalCollectiveReal(snes, rtol_max, 4);
  PetscValidLogicalCollectiveReal(snes, gamma, 5);
  PetscValidLogicalCollectiveReal(snes, alpha, 6);
  PetscValidLogicalCollectiveReal(snes, alpha2, 7);
  PetscValidLogicalCollectiveReal(snes, threshold, 8);

  if (version != PETSC_DEFAULT) kctx->version = version;
  if (rtol_0 != (PetscReal)PETSC_DEFAULT) kctx->rtol_0 = rtol_0;
  if (rtol_max != (PetscReal)PETSC_DEFAULT) kctx->rtol_max = rtol_max;
  if (gamma != (PetscReal)PETSC_DEFAULT) kctx->gamma = gamma;
  if (alpha != (PetscReal)PETSC_DEFAULT) kctx->alpha = alpha;
  if (alpha2 != (PetscReal)PETSC_DEFAULT) kctx->alpha2 = alpha2;
  if (threshold != (PetscReal)PETSC_DEFAULT) kctx->threshold = threshold;

  PetscCheck(kctx->version >= 1 && kctx->version <= 4, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Only versions 1 to 4 are supported: %" PetscInt_FMT, kctx->version);
  PetscCheck(kctx->rtol_0 >= 0.0 && kctx->rtol_0 < 1.0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "0.0 <= rtol_0 < 1.0: %g", (double)kctx->rtol_0);
  PetscCheck(kctx->rtol_max >= 0.0 && kctx->rtol_max < 1.0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "0.0 <= rtol_max (%g) < 1.0", (double)kctx->rtol_max);
  PetscCheck(kctx->gamma >= 0.0 && kctx->gamma <= 1.0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "0.0 <= gamma (%g) <= 1.0", (double)kctx->gamma);
  PetscCheck(kctx->alpha > 1.0 && kctx->alpha <= 2.0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "1.0 < alpha (%g) <= 2.0", (double)kctx->alpha);
  PetscCheck(kctx->threshold > 0.0 && kctx->threshold < 1.0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "0.0 < threshold (%g) < 1.0", (double)kctx->threshold);
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESKSPGetParametersEW - Gets parameters for Eisenstat-Walker
  convergence criteria for the linear solvers within an inexact
  Newton method.

  Not Collective

  Input Parameter:
. snes - `SNES` context

  Output Parameters:
+ version   - version 1, 2 (default is 2), 3 or 4
. rtol_0    - initial relative tolerance (0 <= rtol_0 < 1)
. rtol_max  - maximum relative tolerance (0 <= rtol_max < 1)
. gamma     - multiplicative factor for version 2 rtol computation (0 <= gamma2 <= 1)
. alpha     - power for version 2 rtol computation (1 < alpha <= 2)
. alpha2    - power for safeguard
- threshold - threshold for imposing safeguard (0 < threshold < 1)

  Level: advanced

.seealso: [](ch_snes), `SNES`, `SNESKSPSetUseEW()`, `SNESKSPGetUseEW()`, `SNESKSPSetParametersEW()`
@*/
PetscErrorCode SNESKSPGetParametersEW(SNES snes, PetscInt *version, PetscReal *rtol_0, PetscReal *rtol_max, PetscReal *gamma, PetscReal *alpha, PetscReal *alpha2, PetscReal *threshold)
{
  SNESKSPEW *kctx;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  kctx = (SNESKSPEW *)snes->kspconvctx;
  PetscCheck(kctx, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "No Eisenstat-Walker context existing");
  if (version) *version = kctx->version;
  if (rtol_0) *rtol_0 = kctx->rtol_0;
  if (rtol_max) *rtol_max = kctx->rtol_max;
  if (gamma) *gamma = kctx->gamma;
  if (alpha) *alpha = kctx->alpha;
  if (alpha2) *alpha2 = kctx->alpha2;
  if (threshold) *threshold = kctx->threshold;
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode KSPPreSolve_SNESEW(KSP ksp, Vec b, Vec x, void *ctx)
{
  SNES       snes = (SNES)ctx;
  SNESKSPEW *kctx = (SNESKSPEW *)snes->kspconvctx;
  PetscReal  rtol = PETSC_DEFAULT, stol;

  PetscFunctionBegin;
  if (!snes->ksp_ewconv) PetscFunctionReturn(PETSC_SUCCESS);
  if (!snes->iter) {
    rtol = kctx->rtol_0; /* first time in, so use the original user rtol */
    PetscCall(VecNorm(snes->vec_func, NORM_2, &kctx->norm_first));
  } else {
    PetscCheck(kctx->version >= 1 && kctx->version <= 4, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Only versions 1-4 are supported: %" PetscInt_FMT, kctx->version);
    if (kctx->version == 1) {
      rtol = PetscAbsReal(snes->norm - kctx->lresid_last) / kctx->norm_last;
      stol = PetscPowReal(kctx->rtol_last, kctx->alpha2);
      if (stol > kctx->threshold) rtol = PetscMax(rtol, stol);
    } else if (kctx->version == 2) {
      rtol = kctx->gamma * PetscPowReal(snes->norm / kctx->norm_last, kctx->alpha);
      stol = kctx->gamma * PetscPowReal(kctx->rtol_last, kctx->alpha);
      if (stol > kctx->threshold) rtol = PetscMax(rtol, stol);
    } else if (kctx->version == 3) { /* contributed by Luis Chacon, June 2006. */
      rtol = kctx->gamma * PetscPowReal(snes->norm / kctx->norm_last, kctx->alpha);
      /* safeguard: avoid sharp decrease of rtol */
      stol = kctx->gamma * PetscPowReal(kctx->rtol_last, kctx->alpha);
      stol = PetscMax(rtol, stol);
      rtol = PetscMin(kctx->rtol_0, stol);
      /* safeguard: avoid oversolving */
      stol = kctx->gamma * (kctx->norm_first * snes->rtol) / snes->norm;
      stol = PetscMax(rtol, stol);
      rtol = PetscMin(kctx->rtol_0, stol);
    } else /* if (kctx->version == 4) */ {
      /* H.-B. An et al. Journal of Computational and Applied Mathematics 200 (2007) 47-60 */
      PetscReal ared = PetscAbsReal(kctx->norm_last - snes->norm);
      PetscReal pred = PetscAbsReal(kctx->norm_last - kctx->lresid_last);
      PetscReal rk   = ared / pred;
      if (rk < kctx->v4_p1) rtol = 1. - 2. * kctx->v4_p1;
      else if (rk < kctx->v4_p2) rtol = kctx->rtol_last;
      else if (rk < kctx->v4_p3) rtol = kctx->v4_m1 * kctx->rtol_last;
      else rtol = kctx->v4_m2 * kctx->rtol_last;

      if (kctx->rtol_last_2 > kctx->v4_m3 && kctx->rtol_last > kctx->v4_m3 && kctx->rk_last_2 < kctx->v4_p1 && kctx->rk_last < kctx->v4_p1) rtol = kctx->v4_m4 * kctx->rtol_last;
      kctx->rtol_last_2 = kctx->rtol_last;
      kctx->rk_last_2   = kctx->rk_last;
      kctx->rk_last     = rk;
    }
  }
  /* safeguard: avoid rtol greater than rtol_max */
  rtol = PetscMin(rtol, kctx->rtol_max);
  PetscCall(KSPSetTolerances(ksp, rtol, PETSC_DEFAULT, PETSC_DEFAULT, PETSC_DEFAULT));
  PetscCall(PetscInfo(snes, "iter %" PetscInt_FMT ", Eisenstat-Walker (version %" PetscInt_FMT ") KSP rtol=%g\n", snes->iter, kctx->version, (double)rtol));
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode KSPPostSolve_SNESEW(KSP ksp, Vec b, Vec x, void *ctx)
{
  SNES       snes = (SNES)ctx;
  SNESKSPEW *kctx = (SNESKSPEW *)snes->kspconvctx;
  PCSide     pcside;
  Vec        lres;

  PetscFunctionBegin;
  if (!snes->ksp_ewconv) PetscFunctionReturn(PETSC_SUCCESS);
  PetscCall(KSPGetTolerances(ksp, &kctx->rtol_last, NULL, NULL, NULL));
  kctx->norm_last = snes->norm;
  if (kctx->version == 1 || kctx->version == 4) {
    PC        pc;
    PetscBool getRes;

    PetscCall(KSPGetPC(ksp, &pc));
    PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCNONE, &getRes));
    if (!getRes) {
      KSPNormType normtype;

      PetscCall(KSPGetNormType(ksp, &normtype));
      getRes = (PetscBool)(normtype == KSP_NORM_UNPRECONDITIONED);
    }
    PetscCall(KSPGetPCSide(ksp, &pcside));
    if (pcside == PC_RIGHT || getRes) { /* KSP residual is true linear residual */
      PetscCall(KSPGetResidualNorm(ksp, &kctx->lresid_last));
    } else {
      /* KSP residual is preconditioned residual */
      /* compute true linear residual norm */
      Mat J;
      PetscCall(KSPGetOperators(ksp, &J, NULL));
      PetscCall(VecDuplicate(b, &lres));
      PetscCall(MatMult(J, x, lres));
      PetscCall(VecAYPX(lres, -1.0, b));
      PetscCall(VecNorm(lres, NORM_2, &kctx->lresid_last));
      PetscCall(VecDestroy(&lres));
    }
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetKSP - Returns the `KSP` context for a `SNES` solver.

  Not Collective, but if `snes` is parallel, then `ksp` is parallel

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. ksp - the `KSP` context

  Level: beginner

  Notes:
  The user can then directly manipulate the `KSP` context to set various
  options, etc.  Likewise, the user can then extract and manipulate the
  `PC` contexts as well.

  Some `SNESType`s do not use a `KSP` but a `KSP` is still returned by this function

.seealso: [](ch_snes), `SNES`, `KSP`, `PC`, `KSPGetPC()`, `SNESCreate()`, `KSPCreate()`, `SNESSetKSP()`
@*/
PetscErrorCode SNESGetKSP(SNES snes, KSP *ksp)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(ksp, 2);

  if (!snes->ksp) {
    PetscCall(KSPCreate(PetscObjectComm((PetscObject)snes), &snes->ksp));
    PetscCall(PetscObjectIncrementTabLevel((PetscObject)snes->ksp, (PetscObject)snes, 1));

    PetscCall(KSPSetPreSolve(snes->ksp, KSPPreSolve_SNESEW, snes));
    PetscCall(KSPSetPostSolve(snes->ksp, KSPPostSolve_SNESEW, snes));

    PetscCall(KSPMonitorSetFromOptions(snes->ksp, "-snes_monitor_ksp", "snes_preconditioned_residual", snes));
    PetscCall(PetscObjectSetOptions((PetscObject)snes->ksp, ((PetscObject)snes)->options));
  }
  *ksp = snes->ksp;
  PetscFunctionReturn(PETSC_SUCCESS);
}

#include <petsc/private/dmimpl.h>
/*@
  SNESSetDM - Sets the `DM` that may be used by some nonlinear solvers or their underlying preconditioners

  Logically Collective

  Input Parameters:
+ snes - the nonlinear solver context
- dm   - the `DM`, cannot be `NULL`

  Level: intermediate

  Note:
  A `DM` can only be used for solving one problem at a time because information about the problem is stored on the `DM`,
  even when not using interfaces like `DMSNESSetFunction()`.  Use `DMClone()` to get a distinct `DM` when solving different
  problems using the same function space.

.seealso: [](ch_snes), `DM`, `SNES`, `SNESGetDM()`, `KSPSetDM()`, `KSPGetDM()`
@*/
PetscErrorCode SNESSetDM(SNES snes, DM dm)
{
  KSP    ksp;
  DMSNES sdm;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidHeaderSpecific(dm, DM_CLASSID, 2);
  PetscCall(PetscObjectReference((PetscObject)dm));
  if (snes->dm) { /* Move the DMSNES context over to the new DM unless the new DM already has one */
    if (snes->dm->dmsnes && !dm->dmsnes) {
      PetscCall(DMCopyDMSNES(snes->dm, dm));
      PetscCall(DMGetDMSNES(snes->dm, &sdm));
      if (sdm->originaldm == snes->dm) sdm->originaldm = dm; /* Grant write privileges to the replacement DM */
    }
    PetscCall(DMCoarsenHookRemove(snes->dm, DMCoarsenHook_SNESVecSol, DMRestrictHook_SNESVecSol, snes));
    PetscCall(DMDestroy(&snes->dm));
  }
  snes->dm     = dm;
  snes->dmAuto = PETSC_FALSE;

  PetscCall(SNESGetKSP(snes, &ksp));
  PetscCall(KSPSetDM(ksp, dm));
  PetscCall(KSPSetDMActive(ksp, PETSC_FALSE));
  if (snes->npc) {
    PetscCall(SNESSetDM(snes->npc, snes->dm));
    PetscCall(SNESSetNPCSide(snes, snes->npcside));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetDM - Gets the `DM` that may be used by some solvers/preconditioners

  Not Collective but dm obtained is parallel on snes

  Input Parameter:
. snes - the `SNES` context

  Output Parameter:
. dm - the `DM`

  Level: intermediate

.seealso: [](ch_snes), `DM`, `SNES`, `SNESSetDM()`, `KSPSetDM()`, `KSPGetDM()`
@*/
PetscErrorCode SNESGetDM(SNES snes, DM *dm)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  if (!snes->dm) {
    PetscCall(DMShellCreate(PetscObjectComm((PetscObject)snes), &snes->dm));
    snes->dmAuto = PETSC_TRUE;
  }
  *dm = snes->dm;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetNPC - Sets the nonlinear preconditioner to be used.

  Collective

  Input Parameters:
+ snes - iterative context obtained from `SNESCreate()`
- npc  - the nonlinear preconditioner object

  Level: developer

  Notes:
  Use `SNESGetNPC()` to retrieve the preconditioner context (for example,
  to configure it using the API).

  Only some `SNESType` can use a nonlinear preconditioner

.seealso: [](ch_snes), `SNES`, `SNESNGS`, `SNESFAS`, `SNESGetNPC()`, `SNESHasNPC()`
@*/
PetscErrorCode SNESSetNPC(SNES snes, SNES npc)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidHeaderSpecific(npc, SNES_CLASSID, 2);
  PetscCheckSameComm(snes, 1, npc, 2);
  PetscCall(PetscObjectReference((PetscObject)npc));
  PetscCall(SNESDestroy(&snes->npc));
  snes->npc = npc;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetNPC - Gets a nonlinear preconditioning solver SNES` to be used to precondition the original nonlinear solver.

  Not Collective; but any changes to the obtained the npc object must be applied collectively

  Input Parameter:
. snes - iterative context obtained from `SNESCreate()`

  Output Parameter:
. pc - preconditioner context

  Options Database Key:
. -npc_snes_type <type> - set the type of the `SNES` to use as the nonlinear preconditioner

  Level: developer

  Notes:
  If a `SNES` was previously set with `SNESSetNPC()` then that value is returned, otherwise a new `SNES` object is created.

  The (preconditioner) `SNES` returned automatically inherits the same nonlinear function and Jacobian supplied to the original
  `SNES`

.seealso: [](ch_snes), `SNESSetNPC()`, `SNESHasNPC()`, `SNES`, `SNESCreate()`
@*/
PetscErrorCode SNESGetNPC(SNES snes, SNES *pc)
{
  const char *optionsprefix;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(pc, 2);
  if (!snes->npc) {
    void *ctx;

    PetscCall(SNESCreate(PetscObjectComm((PetscObject)snes), &snes->npc));
    PetscCall(PetscObjectIncrementTabLevel((PetscObject)snes->npc, (PetscObject)snes, 1));
    PetscCall(SNESGetOptionsPrefix(snes, &optionsprefix));
    PetscCall(SNESSetOptionsPrefix(snes->npc, optionsprefix));
    PetscCall(SNESAppendOptionsPrefix(snes->npc, "npc_"));
    PetscCall(SNESGetApplicationContext(snes, &ctx));
    PetscCall(SNESSetApplicationContext(snes->npc, ctx));
    PetscCall(SNESSetCountersReset(snes->npc, PETSC_FALSE));
  }
  *pc = snes->npc;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESHasNPC - Returns whether a nonlinear preconditioner exists

  Not Collective

  Input Parameter:
. snes - iterative context obtained from `SNESCreate()`

  Output Parameter:
. has_npc - whether the `SNES` has a nonlinear preconditioner or not

  Level: developer

.seealso: [](ch_snes), `SNESSetNPC()`, `SNESGetNPC()`
@*/
PetscErrorCode SNESHasNPC(SNES snes, PetscBool *has_npc)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  *has_npc = (PetscBool)(snes->npc ? PETSC_TRUE : PETSC_FALSE);
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetNPCSide - Sets the nonlinear preconditioning side.

  Logically Collective

  Input Parameter:
. snes - iterative context obtained from `SNESCreate()`

  Output Parameter:
. side - the preconditioning side, where side is one of
.vb
      PC_LEFT - left preconditioning
      PC_RIGHT - right preconditioning (default for most nonlinear solvers)
.ve

  Options Database Key:
. -snes_npc_side <right,left> - nonlinear preconditioner side

  Level: intermediate

  Note:
  `SNESNRICHARDSON` and `SNESNCG` only support left preconditioning.

.seealso: [](ch_snes), `SNES`, `SNESNRICHARDSON`, `SNESNCG`, `SNESType`, `SNESGetNPCSide()`, `KSPSetPCSide()`, `PC_LEFT`, `PC_RIGHT`, `PCSide`
@*/
PetscErrorCode SNESSetNPCSide(SNES snes, PCSide side)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidLogicalCollectiveEnum(snes, side, 2);
  if (side == PC_SIDE_DEFAULT) side = PC_RIGHT;
  PetscCheck((side == PC_LEFT) || (side == PC_RIGHT), PetscObjectComm((PetscObject)snes), PETSC_ERR_ARG_WRONG, "Only PC_LEFT and PC_RIGHT are supported");
  snes->npcside = side;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetNPCSide - Gets the preconditioning side.

  Not Collective

  Input Parameter:
. snes - iterative context obtained from `SNESCreate()`

  Output Parameter:
. side - the preconditioning side, where side is one of
.vb
      `PC_LEFT` - left preconditioning
      `PC_RIGHT` - right preconditioning (default for most nonlinear solvers)
.ve

  Level: intermediate

.seealso: [](ch_snes), `SNES`, `SNESSetNPCSide()`, `KSPGetPCSide()`, `PC_LEFT`, `PC_RIGHT`, `PCSide`
@*/
PetscErrorCode SNESGetNPCSide(SNES snes, PCSide *side)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(side, 2);
  *side = snes->npcside;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESSetLineSearch - Sets the linesearch to be used for `SNES`

  Collective

  Input Parameters:
+ snes       - iterative context obtained from `SNESCreate()`
- linesearch - the linesearch object

  Level: developer

  Note:
  This is almost never used, rather one uses `SNESGetLineSearch()` to retrieve the line search and set options on it
  to configure it using the API).

.seealso: [](ch_snes), `SNES`, `SNESLineSearch`, `SNESGetLineSearch()`
@*/
PetscErrorCode SNESSetLineSearch(SNES snes, SNESLineSearch linesearch)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscValidHeaderSpecific(linesearch, SNESLINESEARCH_CLASSID, 2);
  PetscCheckSameComm(snes, 1, linesearch, 2);
  PetscCall(PetscObjectReference((PetscObject)linesearch));
  PetscCall(SNESLineSearchDestroy(&snes->linesearch));

  snes->linesearch = linesearch;

  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  SNESGetLineSearch - Returns the line search context possibly set with `SNESSetLineSearch()`
  or creates a default line search instance associated with the `SNES` and returns it.

  Not Collective

  Input Parameter:
. snes - iterative context obtained from `SNESCreate()`

  Output Parameter:
. linesearch - linesearch context

  Level: beginner

.seealso: [](ch_snes), `SNESLineSearch`, `SNESSetLineSearch()`, `SNESLineSearchCreate()`
@*/
PetscErrorCode SNESGetLineSearch(SNES snes, SNESLineSearch *linesearch)
{
  const char *optionsprefix;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(snes, SNES_CLASSID, 1);
  PetscAssertPointer(linesearch, 2);
  if (!snes->linesearch) {
    PetscCall(SNESGetOptionsPrefix(snes, &optionsprefix));
    PetscCall(SNESLineSearchCreate(PetscObjectComm((PetscObject)snes), &snes->linesearch));
    PetscCall(SNESLineSearchSetSNES(snes->linesearch, snes));
    PetscCall(SNESLineSearchAppendOptionsPrefix(snes->linesearch, optionsprefix));
    PetscCall(PetscObjectIncrementTabLevel((PetscObject)snes->linesearch, (PetscObject)snes, 1));
  }
  *linesearch = snes->linesearch;
  PetscFunctionReturn(PETSC_SUCCESS);
}