xref: /petsc/src/snes/interface/snes.c (revision ddd1276785a76ea4a3b2575e2a65f0ba44dae580)

#ifndef lint
static char vcid[] = "$Id: snes.c,v 1.20 1995/10/02 20:21:18 curfman Exp bsmith $";
#endif

#include "draw.h"          /*I "draw.h"  I*/
#include "snesimpl.h"      /*I "snes.h"  I*/
#include "sys/nreg.h"      /*I  "sys/nreg.h"  I*/
#include "pinclude/pviewer.h"
#include <math.h>

extern int SNESGetMethodFromOptions_Private(SNES,SNESMethod*);
extern int SNESPrintMethods_Private(char*,char*);

/*@
   SNESView - Prints the SNES data structure.

   Input Parameters:
.  SNES - the SNES context
.  viewer - visualization context

   Options Database Key:
$  -snes_view : calls SNESView() at end of SNESSolve()

   Notes:
   The available visualization contexts include
$     STDOUT_VIEWER_SELF - standard output (default)
$     STDOUT_VIEWER_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 user can open alternative vistualization contexts with
$    ViewerFileOpenASCII() - output to a specified file

.keywords: SNES, view

.seealso: ViewerFileOpenASCII()
@*/
int SNESView(SNES snes,Viewer viewer)
{
  PetscObject         vobj = (PetscObject) viewer;
  SNES_KSP_EW_ConvCtx *kctx;
  FILE                *fd;
  int                 ierr;
  SLES                sles;
  char                *method;

  if (vobj->cookie == VIEWER_COOKIE && (vobj->type == ASCII_FILE_VIEWER ||
                                        vobj->type == ASCII_FILES_VIEWER)) {
    ierr = ViewerFileGetPointer_Private(viewer,&fd); CHKERRQ(ierr);
    MPIU_fprintf(snes->comm,fd,"SNES Object:\n");
    SNESGetMethodName((SNESMethod)snes->type,&method);
    MPIU_fprintf(snes->comm,fd,"  method: %s\n",method);
    if (snes->view) (*snes->view)((PetscObject)snes,viewer);
    MPIU_fprintf(snes->comm,fd,
      "  maximum iterations=%d, maximum function evaluations=%d\n",
      snes->max_its,snes->max_funcs);
    MPIU_fprintf(snes->comm,fd,
    "  tolerances: relative=%g, absolute=%g, truncation=%g, solution=%g\n",
      snes->rtol, snes->atol, snes->trunctol, snes->xtol);
    if (snes->method_class == SNES_UNCONSTRAINED_MINIMIZATION)
      MPIU_fprintf(snes->comm,fd,"  min function tolerance=%g\n",snes->fmin);
    if (snes->ksp_ewconv) {
      kctx = (SNES_KSP_EW_ConvCtx *)snes->kspconvctx;
      if (kctx) {
        MPIU_fprintf(snes->comm,fd,
     "  Eisenstat-Walker computation of KSP relative tolerance (version %d)\n",
        kctx->version);
        MPIU_fprintf(snes->comm,fd,
          "    rtol_0=%g, rtol_max=%g, threshold=%g\n",kctx->rtol_0,
          kctx->rtol_max,kctx->threshold);
        MPIU_fprintf(snes->comm,fd,"    gamma=%g, alpha=%g, alpha2=%g\n",
          kctx->gamma,kctx->alpha,kctx->alpha2);
      }
    }
    SNESGetSLES(snes,&sles);
    ierr = SLESView(sles,viewer); CHKERRQ(ierr);
  }
  return 0;
}

/*@
   SNESSetFromOptions - Sets various SLES parameters from user options.

   Input Parameter:
.  snes - the SNES context

.keywords: SNES, nonlinear, set, options, database

.seealso: SNESPrintHelp()
@*/
int SNESSetFromOptions(SNES snes)
{
  SNESMethod method;
  double tmp;
  SLES   sles;
  int    ierr;
  int    version   = PETSC_DEFAULT;
  double rtol_0    = PETSC_DEFAULT;
  double rtol_max  = PETSC_DEFAULT;
  double gamma2    = PETSC_DEFAULT;
  double alpha     = PETSC_DEFAULT;
  double alpha2    = PETSC_DEFAULT;
  double threshold = PETSC_DEFAULT;

  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  if (SNESGetMethodFromOptions_Private(snes,&method)) {
    SNESSetMethod(snes,method);
  }
  if (OptionsHasName(0,"-help"))  SNESPrintHelp(snes);
  if (OptionsGetDouble(snes->prefix,"-snes_stol",&tmp)) {
    SNESSetSolutionTolerance(snes,tmp);
  }
  if (OptionsGetDouble(snes->prefix,"-snes_ttol",&tmp)) {
    SNESSetTruncationTolerance(snes,tmp);
  }
  if (OptionsGetDouble(snes->prefix,"-snes_atol",&tmp)) {
    SNESSetAbsoluteTolerance(snes,tmp);
  }
  if (OptionsGetDouble(snes->prefix,"-snes_trtol",&tmp)) {
    SNESSetTrustRegionTolerance(snes,tmp);
  }
  if (OptionsGetDouble(snes->prefix,"-snes_rtol",&tmp)) {
    SNESSetRelativeTolerance(snes,tmp);
  }
  if (OptionsGetDouble(snes->prefix,"-snes_fmin",&tmp)) {
    SNESSetMinFunctionTolerance(snes,tmp);
  }
  OptionsGetInt(snes->prefix,"-snes_max_it",&snes->max_its);
  OptionsGetInt(snes->prefix,"-snes_max_funcs",&snes->max_funcs);
  if (OptionsHasName(snes->prefix,"-snes_ksp_ew_conv")) {
    snes->ksp_ewconv = 1;
  }
  OptionsGetInt(snes->prefix,"-snes_ksp_ew_version",&version);
  OptionsGetDouble(snes->prefix,"-snes_ksp_ew_rtol0",&rtol_0);
  OptionsGetDouble(snes->prefix,"-snes_ksp_ew_rtolmax",&rtol_max);
  OptionsGetDouble(snes->prefix,"-snes_ksp_ew_gamma",&gamma2);
  OptionsGetDouble(snes->prefix,"-snes_ksp_ew_alpha",&alpha);
  OptionsGetDouble(snes->prefix,"-snes_ksp_ew_alpha2",&alpha2);
  OptionsGetDouble(snes->prefix,"-snes_ksp_ew_threshold",&threshold);
  ierr = SNES_KSP_SetParametersEW(snes,version,rtol_0,rtol_max,gamma2,alpha,
                            alpha2,threshold); CHKERRQ(ierr);
  if (OptionsHasName(snes->prefix,"-snes_monitor")) {
    SNESSetMonitor(snes,SNESDefaultMonitor,0);
  }
  if (OptionsHasName(snes->prefix,"-snes_smonitor")) {
    SNESSetMonitor(snes,SNESDefaultSMonitor,0);
  }
  if (OptionsHasName(snes->prefix,"-snes_xmonitor")){
    int       mytid = 0;
    DrawLGCtx lg;
    MPI_Initialized(&mytid);
    if (mytid) MPI_Comm_rank(snes->comm,&mytid);
    if (!mytid) {
      ierr = SNESLGMonitorCreate(0,0,0,0,300,300,&lg); CHKERRQ(ierr);
      ierr = SNESSetMonitor(snes,SNESLGMonitor,(void *)lg); CHKERRQ(ierr);
      PLogObjectParent(snes,lg);
    }
  }
  if (OptionsHasName(snes->prefix,"-snes_fd") &&
    snes->method_class == SNES_NONLINEAR_EQUATIONS) {
    ierr = SNESSetJacobian(snes,snes->jacobian,snes->jacobian_pre,
           SNESDefaultComputeJacobian,snes->funP); CHKERRQ(ierr);
  }
  if (OptionsHasName(snes->prefix,"-snes_mf") &&
    snes->method_class == SNES_NONLINEAR_EQUATIONS) {
    Mat J;
    ierr = SNESDefaultMatrixFreeMatCreate(snes,snes->vec_sol,&J);CHKERRQ(ierr);
    ierr = SNESSetJacobian(snes,J,J,0,snes->funP); CHKERRQ(ierr);
    PLogObjectParent(snes,J);
    snes->mfshell = J;
  }
  ierr = SNESGetSLES(snes,&sles); CHKERRQ(ierr);
  ierr = SLESSetFromOptions(sles); CHKERRQ(ierr);
  if (!snes->setfromoptions) return 0;
  return (*snes->setfromoptions)(snes);
}

/*@
   SNESPrintHelp - Prints all options for the SNES component.

   Input Parameter:
.  snes - the SNES context

.keywords: SNES, nonlinear, help

.seealso: SLESSetFromOptions()
@*/
int SNESPrintHelp(SNES snes)
{
  char    *prefix = "-";
  SNES_KSP_EW_ConvCtx *kctx = (SNES_KSP_EW_ConvCtx *)snes->kspconvctx;
  if (snes->prefix) prefix = snes->prefix;
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  MPIU_printf(snes->comm,"SNES options ----------------------------\n");
  SNESPrintMethods_Private(prefix,"snes_method");
  MPIU_printf(snes->comm," %ssnes_monitor: use default SNES monitor\n",prefix);
  MPIU_printf(snes->comm," %ssnes_view: view SNES info after each nonlinear solve\n",prefix);
  MPIU_printf(snes->comm," %ssnes_max_it its (default %d)\n",prefix,snes->max_its);
  MPIU_printf(snes->comm," %ssnes_stol tol (default %g)\n",prefix,snes->xtol);
  MPIU_printf(snes->comm," %ssnes_atol tol (default %g)\n",prefix,snes->atol);
  MPIU_printf(snes->comm," %ssnes_rtol tol (default %g)\n",prefix,snes->rtol);
  MPIU_printf(snes->comm," %ssnes_ttol tol (default %g)\n",prefix,snes->trunctol);
  MPIU_printf(snes->comm,
   " options for solving systems of nonlinear equations only:\n");
  MPIU_printf(snes->comm,"   %ssnes_fd: use finite differences for Jacobian\n",prefix);
  MPIU_printf(snes->comm,"   %ssnes_mf: use matrix-free Jacobian\n",prefix);
  MPIU_printf(snes->comm,"   %ssnes_ksp_ew_conv: use Eisenstat-Walker computation of KSP rtol. Params are:\n",prefix);
  MPIU_printf(snes->comm,
   "     %ssnes_ksp_ew_version version (1 or 2, default is %d)\n",
   prefix,kctx->version);
  MPIU_printf(snes->comm,
   "     %ssnes_ksp_ew_rtol0 rtol0 (0 <= rtol0 < 1, default %g)\n",
   prefix,kctx->rtol_0);
  MPIU_printf(snes->comm,
   "     %ssnes_ksp_ew_rtolmax rtolmax (0 <= rtolmax < 1, default %g)\n",
   prefix,kctx->rtol_max);
  MPIU_printf(snes->comm,
   "     %ssnes_ksp_ew_gamma gamma (0 <= gamma <= 1, default %g)\n",
   prefix,kctx->gamma);
  MPIU_printf(snes->comm,
   "     %ssnes_ksp_ew_alpha alpha (1 < alpha <= 2, default %g)\n",
   prefix,kctx->alpha);
  MPIU_printf(snes->comm,
   "     %ssnes_ksp_ew_alpha2 alpha2 (default %g)\n",
   prefix,kctx->alpha2);
  MPIU_printf(snes->comm,
   "     %ssnes_ksp_ew_threshold threshold (0 < threshold < 1, default %g)\n",
   prefix,kctx->threshold);
  MPIU_printf(snes->comm,
   " options for solving unconstrained minimization problems only:\n");
  MPIU_printf(snes->comm,"   %ssnes_fmin tol (default %g)\n",prefix,snes->fmin);
  MPIU_printf(snes->comm," Run program with %ssnes_method method -help for help on ",prefix);
  MPIU_printf(snes->comm,"a particular method\n");
  if (snes->printhelp) (*snes->printhelp)(snes);
  return 0;
}
/*@
   SNESSetApplicationContext - Sets the optional user-defined context for
   the nonlinear solvers.

   Input Parameters:
.  snes - the SNES context
.  usrP - optional user context

.keywords: SNES, nonlinear, set, application, context

.seealso: SNESGetApplicationContext()
@*/
int SNESSetApplicationContext(SNES snes,void *usrP)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  snes->user		= usrP;
  return 0;
}
/*@C
   SNESGetApplicationContext - Gets the user-defined context for the
   nonlinear solvers.

   Input Parameter:
.  snes - SNES context

   Output Parameter:
.  usrP - user context

.keywords: SNES, nonlinear, get, application, context

.seealso: SNESSetApplicationContext()
@*/
int SNESGetApplicationContext( SNES snes,  void **usrP )
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  *usrP = snes->user;
  return 0;
}
/*@
   SNESGetIterationNumber - Gets the current iteration number of the
   nonlinear solver.

   Input Parameter:
.  snes - SNES context

   Output Parameter:
.  iter - iteration number

.keywords: SNES, nonlinear, get, iteration, number
@*/
int SNESGetIterationNumber(SNES snes,int* iter)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  *iter = snes->iter;
  return 0;
}
/*@
   SNESGetFunctionNorm - Gets the norm of the current function that was set
   with SNESSSetFunction().

   Input Parameter:
.  snes - SNES context

   Output Parameter:
.  fnorm - 2-norm of function

   Note:
   SNESGetFunctionNorm() is valid for SNES_NONLINEAR_EQUATIONS methods only.

.keywords: SNES, nonlinear, get, function, norm
@*/
int SNESGetFunctionNorm(SNES snes,Scalar *fnorm)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  if (snes->method_class != SNES_NONLINEAR_EQUATIONS) SETERRQ(1,
    "SNESGetFunctionNorm:For SNES_NONLINEAR_EQUATIONS only");
  *fnorm = snes->norm;
  return 0;
}
/*@
   SNESGetGradientNorm - Gets the norm of the current gradient that was set
   with SNESSSetGradient().

   Input Parameter:
.  snes - SNES context

   Output Parameter:
.  fnorm - 2-norm of gradient

   Note:
   SNESGetGradientNorm() is valid for SNES_UNCONSTRAINED_MINIMIZATION
   methods only.

.keywords: SNES, nonlinear, get, gradient, norm
@*/
int SNESGetGradientNorm(SNES snes,Scalar *gnorm)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  if (snes->method_class != SNES_UNCONSTRAINED_MINIMIZATION) SETERRQ(1,
    "SNESGetGradientNorm:For SNES_UNCONSTRAINED_MINIMIZATION only");
  *gnorm = snes->norm;
  return 0;
}
/*@
   SNESGetNumberUnsuccessfulSteps - Gets the number of unsuccessful steps
   attempted by the nonlinear solver.

   Input Parameter:
.  snes - SNES context

   Output Parameter:
.  nfails - number of unsuccessful steps attempted

.keywords: SNES, nonlinear, get, number, unsuccessful, steps
@*/
int SNESGetNumberUnsuccessfulSteps(SNES snes,int* nfails)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  *nfails = snes->nfailures;
  return 0;
}
/*@C
   SNESGetSLES - Returns the SLES context for a SNES solver.

   Input Parameter:
.  snes - the SNES context

   Output Parameter:
.  sles - the SLES context

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

.keywords: SNES, nonlinear, get, SLES, context

.seealso: SLESGetPC(), SLESGetKSP()
@*/
int SNESGetSLES(SNES snes,SLES *sles)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  *sles = snes->sles;
  return 0;
}
/* -----------------------------------------------------------*/
/*@C
   SNESCreate - Creates a nonlinear solver context.

   Input Parameter:
.  comm - MPI communicator
.  type - type of method, one of
$    SNES_NONLINEAR_EQUATIONS
$      (for systems of nonlinear equations)
$    SNES_UNCONSTRAINED_MINIMIZATION
$      (for unconstrained minimization)

   Output Parameter:
.  outsnes - the new SNES context

.keywords: SNES, nonlinear, create, context

.seealso: SNESSetUp(), SNESSolve(), SNESDestroy()
@*/
int SNESCreate(MPI_Comm comm,SNESType type,SNES *outsnes)
{
  int  ierr;
  SNES snes;
  SNES_KSP_EW_ConvCtx *kctx;
  *outsnes = 0;
  PETSCHEADERCREATE(snes,_SNES,SNES_COOKIE,SNES_UNKNOWN_METHOD,comm);
  PLogObjectCreate(snes);
  snes->max_its         = 50;
  snes->max_funcs	= 1000;
  snes->norm		= 0.0;
  snes->rtol		= 1.e-8;
  snes->atol		= 1.e-10;
  snes->xtol		= 1.e-8;
  snes->trunctol	= 1.e-12;
  snes->nfuncs          = 0;
  snes->nfailures       = 0;
  snes->monitor         = 0;
  snes->data            = 0;
  snes->view            = 0;
  snes->computeumfunction = 0;
  snes->umfunP          = 0;
  snes->fc              = 0;
  snes->deltatol        = 1.e-12;
  snes->fmin            = -1.e30;
  snes->method_class    = type;
  snes->set_method_called = 0;
  snes->ksp_ewconv      = 0;

  /* Create context to compute Eisenstat-Walker relative tolerance for KSP */
  kctx = PETSCNEW(SNES_KSP_EW_ConvCtx); CHKPTRQ(kctx);
  snes->kspconvctx  = (void*)kctx;
  kctx->version     = 2;
  kctx->rtol_0      = .3; /* Eisenstat and Walker suggest rtol_0=.5, but
                             this was too large for some test cases */
  kctx->rtol_last   = 0;
  kctx->rtol_max    = .9;
  kctx->gamma       = 1.0;
  kctx->alpha2      = .5*(1.0 + sqrt(5.0));
  kctx->alpha       = kctx->alpha2;
  kctx->threshold   = .1;
  kctx->lresid_last = 0;
  kctx->norm_last   = 0;

  ierr = SLESCreate(comm,&snes->sles); CHKERRQ(ierr);
  PLogObjectParent(snes,snes->sles)
  *outsnes = snes;
  return 0;
}

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

   Input Parameters:
.  snes - the SNES context
.  func - function evaluation routine
.  resid_neg - indicator whether func evaluates f or -f.
   If resid_neg is NEGATIVE_FUNCTION_VALUE, then func evaluates -f; otherwise,
   func evaluates f.
.  ctx - optional user-defined function context
.  r - vector to store function value

   Calling sequence of func:
.  func (SNES, Vec x, Vec f, void *ctx);

.  x - input vector
.  f - function vector or its negative
.  ctx - optional user-defined context for private data for the
         function evaluation routine (may be null)

   Notes:
   The Newton-like methods typically solve linear systems of the form
$      f'(x) x = -f(x),
$  where f'(x) denotes the Jacobian matrix and f(x) is the function.
   By setting resid_neg = 1, the user can supply -f(x) directly.

   SNESSetFunction() is valid for SNES_NONLINEAR_EQUATIONS methods only.
   Analogous routines for SNES_UNCONSTRAINED_MINIMIZATION methods are
   SNESSetMinimizationFunction() and SNESSetGradient();

.keywords: SNES, nonlinear, set, function

.seealso: SNESGetFunction(), SNESSetJacobian(), SNESSetSolution()
@*/
int SNESSetFunction( SNES snes, Vec r, int (*func)(SNES,Vec,Vec,void*),
                     void *ctx,SNESFunctionSign rneg)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  if (snes->method_class != SNES_NONLINEAR_EQUATIONS) SETERRQ(1,
    "SNESSetFunction:For SNES_NONLINEAR_EQUATIONS only");
  snes->computefunction     = func;
  snes->rsign               = (int) rneg;
  snes->vec_func            = snes->vec_func_always = r;
  snes->funP                = ctx;
  return 0;
}

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

   Input Parameters:
.  snes - the SNES context
.  x - input vector

   Output Parameter:
.  y - function vector or its negative, as set by SNESSetFunction()

   Notes:
   SNESComputeFunction() is valid for SNES_NONLINEAR_EQUATIONS methods only.
   Analogous routines for SNES_UNCONSTRAINED_MINIMIZATION methods are
   SNESComputeMinimizationFunction() and SNESComputeGradient();

.keywords: SNES, nonlinear, compute, function

.seealso: SNESSetFunction()
@*/
int SNESComputeFunction(SNES snes,Vec x, Vec y)
{
  int    ierr;
  Scalar mone = -1.0;

  PLogEventBegin(SNES_FunctionEval,snes,x,y,0);
  ierr = (*snes->computefunction)(snes,x,y,snes->funP); CHKERRQ(ierr);
  if (!snes->rsign) {
    ierr = VecScale(&mone,y); CHKERRQ(ierr);
  }
  PLogEventEnd(SNES_FunctionEval,snes,x,y,0);
  return 0;
}

/*@C
   SNESSetMinimizationFunction - Sets the function evaluation routine for
   unconstrained minimization.

   Input Parameters:
.  snes - the SNES context
.  func - function evaluation routine
.  ctx - optional user-defined function context

   Calling sequence of func:
.  func (SNES snes,Vec x,double *f,void *ctx);

.  x - input vector
.  f - function
.  ctx - optional user-defined context for private data for the
         function evaluation routine (may be null)

   Notes:
   SNESSetMinimizationFunction() is valid for SNES_UNCONSTRAINED_MINIMIZATION
   methods only. An analogous routine for SNES_NONLINEAR_EQUATIONS methods is
   SNESSetFunction().

.keywords: SNES, nonlinear, set, minimization, function

.seealso:  SNESGetMinimizationFunction(), SNESSetHessian(), SNESSetGradient(),
           SNESSetSolution()
@*/
int SNESSetMinimizationFunction(SNES snes,int (*func)(SNES,Vec,double*,void*),
                      void *ctx)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  if (snes->method_class != SNES_UNCONSTRAINED_MINIMIZATION) SETERRQ(1,
    "SNESSetMinimizationFunction:Only for SNES_UNCONSTRAINED_MINIMIZATION");
  snes->computeumfunction   = func;
  snes->umfunP              = ctx;
  return 0;
}

/*@
   SNESComputeMinimizationFunction - Computes the function that has been
   set with SNESSetMinimizationFunction().

   Input Parameters:
.  snes - the SNES context
.  x - input vector

   Output Parameter:
.  y - function value

   Notes:
   SNESComputeMinimizationFunction() is valid only for
   SNES_UNCONSTRAINED_MINIMIZATION methods. An analogous routine for
   SNES_NONLINEAR_EQUATIONS methods is SNESComputeFunction().
@*/
int SNESComputeMinimizationFunction(SNES snes,Vec x,double *y)
{
  int    ierr;
  if (snes->method_class != SNES_UNCONSTRAINED_MINIMIZATION) SETERRQ(1,
    "SNESComputeMinimizationFunction:Only for SNES_UNCONSTRAINED_MINIMIZATION");
  PLogEventBegin(SNES_MinimizationFunctionEval,snes,x,y,0);
  ierr = (*snes->computeumfunction)(snes,x,y,snes->umfunP); CHKERRQ(ierr);
  PLogEventEnd(SNES_MinimizationFunctionEval,snes,x,y,0);
  return 0;
}

/*@C
   SNESSetGradient - Sets the gradient evaluation routine and gradient
   vector for use by the SNES routines.

   Input Parameters:
.  snes - the SNES context
.  func - function evaluation routine
.  ctx - optional user-defined function context
.  r - vector to store gradient value

   Calling sequence of func:
.  func (SNES, Vec x, Vec g, void *ctx);

.  x - input vector
.  g - gradient vector
.  ctx - optional user-defined context for private data for the
         function evaluation routine (may be null)

   Notes:
   SNESSetMinimizationFunction() is valid for SNES_UNCONSTRAINED_MINIMIZATION
   methods only. An analogous routine for SNES_NONLINEAR_EQUATIONS methods is
   SNESSetFunction().

.keywords: SNES, nonlinear, set, function

.seealso: SNESGetGradient(), SNESSetHessian(), SNESSetMinimizationFunction(),
          SNESSetSolution()
@*/
int SNESSetGradient(SNES snes,Vec r,int (*func)(SNES,Vec,Vec,void*),
                     void *ctx)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  if (snes->method_class != SNES_UNCONSTRAINED_MINIMIZATION) SETERRQ(1,
    "SNESSetGradient:For SNES_UNCONSTRAINED_MINIMIZATION only");
  snes->computefunction     = func;
  snes->vec_func            = snes->vec_func_always = r;
  snes->funP                = ctx;
  return 0;
}

/*@
   SNESComputeGradient - Computes the gradient that has been
   set with SNESSetGradient().

   Input Parameters:
.  snes - the SNES context
.  x - input vector

   Output Parameter:
.  y - gradient vector

   Notes:
   SNESComputeGradient() is valid only for
   SNES_UNCONSTRAINED_MINIMIZATION methods. An analogous routine for
   SNES_NONLINEAR_EQUATIONS methods is SNESComputeFunction().
@*/
int SNESComputeGradient(SNES snes,Vec x, Vec y)
{
  int    ierr;
  if (snes->method_class != SNES_UNCONSTRAINED_MINIMIZATION) SETERRQ(1,
    "SNESComputeGradient:For SNES_UNCONSTRAINED_MINIMIZATION only");
  PLogEventBegin(SNES_GradientEval,snes,x,y,0);
  ierr = (*snes->computefunction)(snes,x,y,snes->funP); CHKERRQ(ierr);
  PLogEventEnd(SNES_GradientEval,snes,x,y,0);
  return 0;
}

int SNESComputeJacobian(SNES snes,Vec X,Mat *A,Mat *B,MatStructure *flg)
{
  int    ierr;
  if (snes->method_class != SNES_NONLINEAR_EQUATIONS) SETERRQ(1,
    "SNESComputeJacobian: For SNES_NONLINEAR_EQUATIONS only");
  if (!snes->computejacobian) return 0;
  PLogEventBegin(SNES_JacobianEval,snes,X,*A,*B);
  ierr = (*snes->computejacobian)(snes,X,A,B,flg,snes->jacP); CHKERRQ(ierr);
  PLogEventEnd(SNES_JacobianEval,snes,X,*A,*B);
  return 0;
}

int SNESComputeHessian(SNES snes,Vec X,Mat *A,Mat *B,MatStructure *flg)
{
  int    ierr;
  if (snes->method_class != SNES_UNCONSTRAINED_MINIMIZATION) SETERRQ(1,
    "SNESComputeHessian:For SNES_UNCONSTRAINED_MINIMIZATION only");
  if (!snes->computejacobian) return 0;
  PLogEventBegin(SNES_HessianEval,snes,X,*A,*B);
  ierr = (*snes->computejacobian)(snes,X,A,B,flg,snes->jacP); CHKERRQ(ierr);
  PLogEventEnd(SNES_HessianEval,snes,X,*A,*B);
  return 0;
}

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

   Input Parameters:
.  snes - the SNES context
.  A - Jacobian matrix
.  B - preconditioner matrix (usually same as the Jacobian)
.  func - Jacobian evaluation routine
.  ctx - optional user-defined context for private data for the
         Jacobian evaluation routine (may be null)

   Calling sequence of func:
.  func (SNES,Vec x,Mat *A,Mat *B,int *flag,void *ctx);

.  x - input vector
.  A - Jacobian matrix
.  B - preconditioner matrix, usually the same as A
.  flag - flag indicating information about matrix structure,
   same as flag in SLESSetOperators()
.  ctx - optional user-defined Jacobian context

   Notes:
   The function func() takes Mat * as the matrix arguments rather than Mat.
   This allows the Jacobian evaluation routine to replace A and/or B with a
   completely new new matrix structure (not just different matrix elements)
   when appropriate, for instance, if the nonzero structure is changing
   throughout the global iterations.

.keywords: SNES, nonlinear, set, Jacobian, matrix

.seealso: SNESSetFunction(), SNESSetSolution()
@*/
int SNESSetJacobian(SNES snes,Mat A,Mat B,int (*func)(SNES,Vec,Mat*,Mat*,
                    MatStructure*,void*),void *ctx)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  if (snes->method_class != SNES_NONLINEAR_EQUATIONS) SETERRQ(1,
    "SNESSetJacobian:For SNES_NONLINEAR_EQUATIONS only");
  snes->computejacobian = func;
  snes->jacP            = ctx;
  snes->jacobian        = A;
  snes->jacobian_pre    = B;
  return 0;
}
/*@C
   SNESSetHessian - Sets the function to compute Hessian as well as the
   location to store it.

   Input Parameters:
.  snes - the SNES context
.  A - Hessian matrix
.  B - preconditioner matrix (usually same as the Hessian)
.  func - Jacobian evaluation routine
.  ctx - optional user-defined context for private data for the
         Hessian evaluation routine (may be null)

   Calling sequence of func:
.  func (SNES,Vec x,Mat *A,Mat *B,int *flag,void *ctx);

.  x - input vector
.  A - Hessian matrix
.  B - preconditioner matrix, usually the same as A
.  flag - flag indicating information about matrix structure,
   same as flag in SLESSetOperators()
.  ctx - optional user-defined Hessian context

   Notes:
   The function func() takes Mat * as the matrix arguments rather than Mat.
   This allows the Hessian evaluation routine to replace A and/or B with a
   completely new new matrix structure (not just different matrix elements)
   when appropriate, for instance, if the nonzero structure is changing
   throughout the global iterations.

.keywords: SNES, nonlinear, set, Hessian, matrix

.seealso: SNESSetMinimizationFunction(), SNESSetSolution(), SNESSetGradient()
@*/
int SNESSetHessian(SNES snes,Mat A,Mat B,int (*func)(SNES,Vec,Mat*,Mat*,
                    MatStructure*,void*),void *ctx)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  if (snes->method_class != SNES_UNCONSTRAINED_MINIMIZATION) SETERRQ(1,
    "SNESSetHessian:For SNES_UNCONSTRAINED_MINIMIZATION only");
  snes->computejacobian = func;
  snes->jacP            = ctx;
  snes->jacobian        = A;
  snes->jacobian_pre    = B;
  return 0;
}

/* ----- Routines to initialize and destroy a nonlinear solver ---- */

/*@
   SNESSetUp - Sets up the internal data structures for the later use
   of a nonlinear solver.  Call SNESSetUp() after calling SNESCreate()
   and optional routines of the form SNESSetXXX(), but before calling
   SNESSolve().

   Input Parameter:
.  snes - the SNES context

.keywords: SNES, nonlinear, setup

.seealso: SNESCreate(), SNESSolve(), SNESDestroy()
@*/
int SNESSetUp(SNES snes)
{
  int ierr;
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  if (!snes->vec_sol)
    SETERRQ(1,"SNESSetUp:Must call SNESSetSolution() first");

  if ((snes->method_class == SNES_NONLINEAR_EQUATIONS)) {
    if (!snes->set_method_called)
      {ierr = SNESSetMethod(snes,SNES_EQ_NLS); CHKERRQ(ierr);}
    if (!snes->vec_func) SETERRQ(1,
      "SNESSetUp:Must call SNESSetFunction() first");
    if (!snes->computefunction) SETERRQ(1,
      "SNESSetUp:Must call SNESSetFunction() first");
    if (!snes->jacobian) SETERRQ(1,
      "SNESSetUp:Must call SNESSetJacobian() first");
  } else if ((snes->method_class == SNES_UNCONSTRAINED_MINIMIZATION)) {
    if (!snes->set_method_called)
      {ierr = SNESSetMethod(snes,SNES_UM_NTR); CHKERRQ(ierr);}
    if (!snes->vec_func) SETERRQ(1,
     "SNESSetUp:Must call SNESSetGradient() first");
    if (!snes->computefunction) SETERRQ(1,
      "SNESSetUp:Must call SNESSetGradient() first");
    if (!snes->computeumfunction) SETERRQ(1,
      "SNESSetUp:Must call SNESSetMinimizationFunction() first");
    if (!snes->jacobian) SETERRQ(1,
      "SNESSetUp:Must call SNESSetHessian() first");
  } else SETERRQ(1,"SNESSetUp:Unknown method class");
  if (snes->setup) return (*snes->setup)(snes);
  else return 0;
}

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

   Input Parameter:
.  snes - the SNES context

.keywords: SNES, nonlinear, destroy

.seealso: SNESCreate(), SNESSetUp(), SNESSolve()
@*/
int SNESDestroy(SNES snes)
{
  int ierr;
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  ierr = (*(snes)->destroy)((PetscObject)snes); CHKERRQ(ierr);
  if (snes->kspconvctx) PETSCFREE(snes->kspconvctx);
  if (snes->mfshell) MatDestroy(snes->mfshell);
  ierr = SLESDestroy(snes->sles); CHKERRQ(ierr);
  PLogObjectDestroy((PetscObject)snes);
  PETSCHEADERDESTROY((PetscObject)snes);
  return 0;
}

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

/*@
   SNESSetMaxIterations - Sets the maximum number of global iterations to use.

   Input Parameters:
.  snes - the SNES context
.  maxits - maximum number of iterations to use

   Options Database Key:
$  -snes_max_it  maxits

   Note:
   The default maximum number of iterations is 50.

.keywords: SNES, nonlinear, set, maximum, iterations

.seealso: SNESSetMaxFunctionEvaluations()
@*/
int SNESSetMaxIterations(SNES snes,int maxits)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  snes->max_its = maxits;
  return 0;
}

/*@
   SNESSetMaxFunctionEvaluations - Sets the maximum number of function
   evaluations to use.

   Input Parameters:
.  snes - the SNES context
.  maxf - maximum number of function evaluations

   Options Database Key:
$  -snes_max_funcs maxf

   Note:
   The default maximum number of function evaluations is 1000.

.keywords: SNES, nonlinear, set, maximum, function, evaluations

.seealso: SNESSetMaxIterations()
@*/
int SNESSetMaxFunctionEvaluations(SNES snes,int maxf)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  snes->max_funcs = maxf;
  return 0;
}

/*@
   SNESSetRelativeTolerance - Sets the relative convergence tolerance.

   Input Parameters:
.  snes - the SNES context
.  rtol - tolerance

   Options Database Key:
$    -snes_rtol tol

.keywords: SNES, nonlinear, set, relative, convergence, tolerance

.seealso: SNESSetAbsoluteTolerance(), SNESSetSolutionTolerance(),
           SNESSetTruncationTolerance()
@*/
int SNESSetRelativeTolerance(SNES snes,double rtol)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  snes->rtol = rtol;
  return 0;
}

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

   Input Parameters:
.  snes - the SNES context
.  tol - tolerance

   Options Database Key:
$    -snes_trtol tol

.keywords: SNES, nonlinear, set, trust region, tolerance

.seealso: SNESSetAbsoluteTolerance(), SNESSetSolutionTolerance(),
           SNESSetTruncationTolerance()
@*/
int SNESSetTrustRegionTolerance(SNES snes,double tol)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  snes->deltatol = tol;
  return 0;
}

/*@
   SNESSetAbsoluteTolerance - Sets the absolute convergence tolerance.

   Input Parameters:
.  snes - the SNES context
.  atol - tolerance

   Options Database Key:
$    -snes_atol tol

.keywords: SNES, nonlinear, set, absolute, convergence, tolerance

.seealso: SNESSetRelativeTolerance(), SNESSetSolutionTolerance(),
           SNESSetTruncationTolerance()
@*/
int SNESSetAbsoluteTolerance(SNES snes,double atol)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  snes->atol = atol;
  return 0;
}

/*@
   SNESSetTruncationTolerance - Sets the tolerance that may be used by the
   step routines to control the accuracy of the step computation.

   Input Parameters:
.  snes - the SNES context
.  tol - tolerance

   Options Database Key:
$    -snes_ttol tol

   Notes:
   If the step computation involves an application of the inverse
   Jacobian (or Hessian), this parameter may be used to control the
   accuracy of that application.  In particular, this tolerance is used
   by SNESKSPDefaultConverged() and SNESKSPQuadraticConverged() to determine
   the minimum convergence tolerance for the iterative linear solvers.

.keywords: SNES, nonlinear, set, truncation, tolerance

.seealso: SNESSetRelativeTolerance(), SNESSetSolutionTolerance(),
          SNESSetAbsoluteTolerance()
@*/
int SNESSetTruncationTolerance(SNES snes,double tol)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  snes->trunctol = tol;
  return 0;
}

/*@
   SNESSetSolutionTolerance - Sets the convergence tolerance in terms of
   the norm of the change in the solution between steps.

   Input Parameters:
.  snes - the SNES context
.  tol - tolerance

   Options Database Key:
$    -snes_stol tol

.keywords: SNES, nonlinear, set, solution, tolerance

.seealso: SNESSetTruncationTolerance(), SNESSetRelativeTolerance(),
          SNESSetAbsoluteTolerance()
@*/
int SNESSetSolutionTolerance( SNES snes, double tol )
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  snes->xtol = tol;
  return 0;
}

/*@
   SNESSetMinFunctionTolerance - Sets the minimum allowable function tolerance
   for unconstrained minimization solvers.

   Input Parameters:
.  snes - the SNES context
.  ftol - minimum function tolerance

   Options Database Key:
$    -snes_fmin ftol

   Note:
   SNESSetMinFunctionTolerance() is valid for SNES_UNCONSTRAINED_MINIMIZATION
   methods only.

.keywords: SNES, nonlinear, set, minimum, convergence, function, tolerance

.seealso: SNESSetRelativeTolerance(), SNESSetSolutionTolerance(),
           SNESSetTruncationTolerance()
@*/
int SNESSetMinFunctionTolerance(SNES snes,double ftol)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  snes->fmin = ftol;
  return 0;
}



/* ---------- Routines to set various aspects of nonlinear solver --------- */

/*@C
   SNESSetSolution - Sets the initial guess routine and solution vector
   for use by the SNES routines.

   Input Parameters:
.  snes - the SNES context
.  x - the solution vector
.  func - optional routine to compute an initial guess (may be null)
.  ctx - optional user-defined context for private data for the
         initial guess routine (may be null)

   Calling sequence of func:
   int guess(Vec x, void *ctx)

.  x - input vector
.  ctx - optional user-defined initial guess context

   Note:
   If no initial guess routine is indicated, an initial guess of zero
   will be used.

.keywords: SNES, nonlinear, set, solution, initial guess

.seealso: SNESGetSolution(), SNESSetJacobian(), SNESSetFunction()
@*/
int SNESSetSolution(SNES snes,Vec x,int (*func)(SNES,Vec,void*),void *ctx)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  snes->vec_sol             = snes->vec_sol_always = x;
  snes->computeinitialguess = func;
  snes->gusP                = ctx;
  return 0;
}

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

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

   Input Parameters:
.  snes - the SNES context
.  func - monitoring routine
.  mctx - optional user-defined context for private data for the
          monitor routine (may be null)

   Calling sequence of func:
   int func((SNES snes,int its, Vec x,Vec f,
             double norm,void *mctx)

$    snes - the SNES context
$    its - iteration number
$    mctx - optional monitoring context
$
$ SNES_NONLINEAR_EQUATIONS methods:
$    norm - 2-norm function value (may be estimated)
$
$ SNES_UNCONSTRAINED_MINIMIZATION methods:
$    norm - 2-norm gradient value (may be estimated)

.keywords: SNES, nonlinear, set, monitor

.seealso: SNESDefaultMonitor()
@*/
int SNESSetMonitor( SNES snes, int (*func)(SNES,int,double,void*),
                    void *mctx )
{
  snes->monitor = func;
  snes->monP    = (void*)mctx;
  return 0;
}

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

   Input Parameters:
.  snes - the SNES context
.  func - routine to test for convergence
.  cctx - optional context for private data for the convergence routine
          (may be null)

   Calling sequence of func:
   int func (SNES snes,double xnorm,double gnorm,
             double f,void *cctx)

$    snes - the SNES context
$    cctx - optional convergence context
$    xnorm - 2-norm of current iterate
$
$ SNES_NONLINEAR_EQUATIONS methods:
$    gnorm - 2-norm of current step
$    f - 2-norm of function
$
$ SNES_UNCONSTRAINED_MINIMIZATION methods:
$    gnorm - 2-norm of current gradient
$    f - function value

.keywords: SNES, nonlinear, set, convergence, test

.seealso: SNESDefaultConverged()
@*/
int SNESSetConvergenceTest(SNES snes,
          int (*func)(SNES,double,double,double,void*),void *cctx)
{
  (snes)->converged = func;
  (snes)->cnvP      = cctx;
  return 0;
}

/*
   SNESScaleStep_Private - Scales a step so that its length is less than the
   positive parameter delta.

    Input Parameters:
.   snes - the SNES context
.   y - approximate solution of linear system
.   fnorm - 2-norm of current function
.   delta - trust region size

    Output Parameters:
.   gpnorm - predicted function norm at the new point, assuming local
    linearization.  The value is zero if the step lies within the trust
    region, and exceeds zero otherwise.
.   ynorm - 2-norm of the step

    Note:
    For non-trust region methods such as SNES_EQ_NLS, the parameter delta
    is set to be the maximum allowable step size.

.keywords: SNES, nonlinear, scale, step
*/
int SNESScaleStep_Private(SNES snes,Vec y,double *fnorm,double *delta,
                  double *gpnorm,double *ynorm)
{
  double norm;
  Scalar cnorm;
  VecNorm(y, &norm );
  if (norm > *delta) {
     norm = *delta/norm;
     *gpnorm = (1.0 - norm)*(*fnorm);
     cnorm = norm;
     VecScale( &cnorm, y );
     *ynorm = *delta;
  } else {
     *gpnorm = 0.0;
     *ynorm = norm;
  }
  return 0;
}

/*@
   SNESSolve - Solves a nonlinear system.  Call SNESSolve after calling
   SNESCreate(), optional routines of the form SNESSetXXX(), and SNESSetUp().

   Input Parameter:
.  snes - the SNES context

   Output Parameter:
   its - number of iterations until termination

.keywords: SNES, nonlinear, solve

.seealso: SNESCreate(), SNESSetUp(), SNESDestroy()
@*/
int SNESSolve(SNES snes,int *its)
{
  int ierr;
  PLogEventBegin(SNES_Solve,snes,0,0,0);
  ierr = (*(snes)->solve)( snes,its ); CHKERRQ(ierr);
  PLogEventEnd(SNES_Solve,snes,0,0,0);
  if (OptionsHasName(0,"-snes_view")) {
    SNESView(snes,STDOUT_VIEWER_WORLD); CHKERRQ(ierr);
  }
  return 0;
}

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

/*
   SNESComputeInitialGuess - Manages computation of initial approximation.
 */
int SNESComputeInitialGuess( SNES snes,Vec  x )
{
  int    ierr;
  Scalar zero = 0.0;
  if (snes->computeinitialguess) {
    ierr = (*snes->computeinitialguess)(snes, x, snes->gusP); CHKERRQ(ierr);
  }
  else {
    ierr = VecSet(&zero,x); CHKERRQ(ierr);
  }
  return 0;
}

/* ------------------------------------------------------------------ */

NRList *__NLList;

/*@
   SNESSetMethod - Sets the method for the nonlinear solver.

   Input Parameters:
.  snes - the SNES context
.  method - a known method

   Notes:
   See "petsc/include/snes.h" for available methods (for instance)
$  Systems of nonlinear equations:
$    SNES_EQ_NLS - Newton's method with line search
$    SNES_EQ_NTR - Newton's method with trust region
$  Unconstrained minimization:
$    SNES_UM_NTR - Newton's method with trust region

  Options Database Command:
$ -snes_method  <method>
$    Use -help for a list of available methods
$    (for instance, ls or tr)
@*/
int SNESSetMethod( SNES snes, SNESMethod method)
{
  int (*r)(SNES);
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  /* Get the function pointers for the iterative method requested */
  if (!__NLList) {SNESRegisterAll();}
  if (!__NLList) {SETERRQ(1,"SNESSetMethod:Could not get methods");}
  r =  (int (*)(SNES))NRFindRoutine( __NLList, (int)method, (char *)0 );
  if (!r) {SETERRQ(1,"SNESSetMethod:Unknown method");}
  if (snes->data) PETSCFREE(snes->data);
  snes->set_method_called = 1;
  return (*r)(snes);
}

/* --------------------------------------------------------------------- */
/*@C
   SNESRegister - Adds the method to the nonlinear solver package, given
   a function pointer and a nonlinear solver name of the type SNESMethod.

   Input Parameters:
.  name - for instance SNES_EQ_NLS, SNES_EQ_NTR, ...
.  sname - corfunPonding string for name
.  create - routine to create method context

.keywords: SNES, nonlinear, register

.seealso: SNESRegisterAll(), SNESRegisterDestroy()
@*/
int SNESRegister(int name, char *sname, int (*create)(SNES))
{
  int ierr;
  if (!__NLList) {ierr = NRCreate(&__NLList); CHKERRQ(ierr);}
  NRRegister( __NLList, name, sname, (int (*)(void*))create );
  return 0;
}
/* --------------------------------------------------------------------- */
/*@C
   SNESRegisterDestroy - Frees the list of nonlinear solvers that were
   registered by SNESRegister().

.keywords: SNES, nonlinear, register, destroy

.seealso: SNESRegisterAll(), SNESRegisterAll()
@*/
int SNESRegisterDestroy()
{
  if (__NLList) {
    NRDestroy( __NLList );
    __NLList = 0;
  }
  return 0;
}

/*
   SNESGetMethodFromOptions_Private - Sets the selected method from the
   options database.

   Input Parameter:
.  ctx - the SNES context

   Output Parameter:
.  method -  solver method

   Returns:
   Returns 1 if the method is found; 0 otherwise.

   Options Database Key:
$  -snes_method  method
*/
int SNESGetMethodFromOptions_Private(SNES ctx,SNESMethod *method)
{
  char sbuf[50];
  if (OptionsGetString(ctx->prefix,"-snes_method", sbuf, 50 )) {
    if (!__NLList) SNESRegisterAll();
    *method = (SNESMethod)NRFindID( __NLList, sbuf );
    return 1;
  }
  return 0;
}

/*@
   SNESGetMethodFromContext - Gets the nonlinear solver method from an
   active SNES context.

   Input Parameter:
.  snes - the SNES context

   Output parameters:
.  method - the method ID

.keywords: SNES, nonlinear, get, method, context, type

.seealso: SNESGetMethodName()
@*/
int SNESGetMethodFromContext(SNES snes, SNESMethod *method)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  *method = (SNESMethod) snes->type;
  return 0;
}

/*@C
   SNESGetMethodName - Gets the SNES method name (as a string) from
   the method type.

   Input Parameter:
.  method - SNES method

   Output Parameter:
.  name - name of SNES method

.keywords: SNES, nonlinear, get, method, name
@*/
int SNESGetMethodName(SNESMethod method,char **name)
{
  int ierr;
  if (!__NLList) {ierr = SNESRegisterAll(); CHKERRQ(ierr);}
  *name = NRFindName( __NLList, (int) method );
  return 0;
}

#include <stdio.h>
/*
   SNESPrintMethods_Private - Prints the SNES methods available from the
   options database.

   Input Parameters:
.  prefix - prefix (usually "-")
.  name - the options database name (by default "snes_method")
*/
int SNESPrintMethods_Private(char* prefix,char *name)
{
  FuncList *entry;
  if (!__NLList) {SNESRegisterAll();}
  entry = __NLList->head;
  fprintf(stderr," %s%s (one of)",prefix,name);
  while (entry) {
    fprintf(stderr," %s",entry->name);
    entry = entry->next;
  }
  fprintf(stderr,"\n");
  return 0;
}

/*@C
   SNESGetSolution - Returns the vector where the approximate solution is
   stored.

   Input Parameter:
.  snes - the SNES context

   Output Parameter:
.  x - the solution

.keywords: SNES, nonlinear, get, solution

.seealso: SNESSetSolution(), SNESGetFunction(), SNESGetSolutionUpdate()
@*/
int SNESGetSolution(SNES snes,Vec *x)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  *x = snes->vec_sol_always;
  return 0;
}

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

   Input Parameter:
.  snes - the SNES context

   Output Parameter:
.  x - the solution update

   Notes:
   This vector is implementation dependent.

.keywords: SNES, nonlinear, get, solution, update

.seealso: SNESGetSolution(), SNESGetFunction
@*/
int SNESGetSolutionUpdate(SNES snes,Vec *x)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  *x = snes->vec_sol_update_always;
  return 0;
}

/*@C
   SNESGetFunction - Returns the vector where the function is
   stored.  Actually usually returns the vector where the negative of
   the function is stored.

   Input Parameter:
.  snes - the SNES context

   Output Parameter:
.  r - the function (or its negative)

   Notes:
   SNESGetFunction() is valid for SNES_NONLINEAR_EQUATIONS methods only
   Analogous routines for SNES_UNCONSTRAINED_MINIMIZATION methods are
   SNESGetMinimizationFunction() and SNESGetGradient();

.keywords: SNES, nonlinear, get function

.seealso: SNESSetFunction(), SNESGetSolution()
@*/
int SNESGetFunction(SNES snes,Vec *r)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  if (snes->method_class != SNES_NONLINEAR_EQUATIONS) SETERRQ(1,
    "SNESGetFunction:For SNES_NONLINEAR_EQUATIONS only");
  *r = snes->vec_func_always;
  return 0;
}

/*@C
   SNESGetGradient - Returns the vector where the gradient is
   stored.  Actually usually returns the vector where the negative of
   the function is stored.

   Input Parameter:
.  snes - the SNES context

   Output Parameter:
.  r - the gradient

   Notes:
   SNESGetGradient() is valid for SNES_UNCONSTRAINED_MINIMIZATION methods
   only.  An analogous routine for SNES_NONLINEAR_EQUATIONS methods is
   SNESGetFunction().

.keywords: SNES, nonlinear, get, gradient

.seealso: SNESGetMinimizationFunction(), SNESGetSolution()
@*/
int SNESGetGradient(SNES snes,Vec *r)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  if (snes->method_class != SNES_UNCONSTRAINED_MINIMIZATION) SETERRQ(1,
    "SNESGetGradient:For SNES_UNCONSTRAINED_MINIMIZATION only");
  *r = snes->vec_func_always;
  return 0;
}

/*@
   SNESGetMinimizationFunction - Returns the scalar function value for
   unconstrained minimization problems.

   Input Parameter:
.  snes - the SNES context

   Output Parameter:
.  r - the function

   Notes:
   SNESGetMinimizationFunction() is valid for SNES_UNCONSTRAINED_MINIMIZATION
   methods only.  An analogous routine for SNES_NONLINEAR_EQUATIONS methods is
   SNESGetFunction().

.keywords: SNES, nonlinear, get, function

.seealso: SNESGetGradient(), SNESGetSolution()
@*/
int SNESGetMinimizationFunction(SNES snes,double *r)
{
  PETSCVALIDHEADERSPECIFIC(snes,SNES_COOKIE);
  if (snes->method_class != SNES_UNCONSTRAINED_MINIMIZATION) SETERRQ(1,
    "SNESGetMinimizationFunction:For SNES_UNCONSTRAINED_MINIMIZATION only");
  *r = snes->fc;
  return 0;
}