#if !defined(PETSCTAO_H)
#define PETSCTAO_H

#include <petscsnes.h>

/* SUBMANSEC = Tao */

PETSC_EXTERN PetscErrorCode VecFischer(Vec,Vec,Vec,Vec,Vec);
PETSC_EXTERN PetscErrorCode VecSFischer(Vec,Vec,Vec,Vec,PetscReal,Vec);
PETSC_EXTERN PetscErrorCode MatDFischer(Mat,Vec,Vec,Vec,Vec,Vec,Vec,Vec,Vec);
PETSC_EXTERN PetscErrorCode MatDSFischer(Mat,Vec,Vec,Vec,Vec,PetscReal,Vec,Vec,Vec,Vec,Vec);
PETSC_EXTERN PetscErrorCode TaoSoftThreshold(Vec,PetscReal,PetscReal,Vec);

/*E
  TaoSubsetType - PetscInt representing the way TAO handles active sets

+ TAO_SUBSET_SUBVEC - TAO uses PETSc's MatCreateSubMatrix and VecGetSubVector
. TAO_SUBSET_MASK - Matrices are zeroed out corresponding to active set entries
- TAO_SUBSET_MATRIXFREE - Same as TAO_SUBSET_MASK but it can be applied to matrix-free operators

  Options database keys:
. -different_hessian - TAO will use a copy of the hessian operator for masking.  By default
                       TAO will directly alter the hessian operator.
  Level: intermediate

E*/

typedef enum {TAO_SUBSET_SUBVEC,TAO_SUBSET_MASK,TAO_SUBSET_MATRIXFREE} TaoSubsetType;
PETSC_EXTERN const char *const TaoSubsetTypes[];
/*S
     Tao - Abstract PETSc object that manages nonlinear optimization solves

   Level: advanced

.seealso `TaoCreate()`, `TaoDestroy()`, `TaoSetType()`, `TaoType`
S*/

/*E
     TaoADMMUpdateType - Determine spectral penalty update routine for lagrange augmented term for ADMM.

  Level: advanced

.seealso `TaoADMMSetUpdateType()`
E*/
typedef enum {TAO_ADMM_UPDATE_BASIC,TAO_ADMM_UPDATE_ADAPTIVE,TAO_ADMM_UPDATE_ADAPTIVE_RELAXED} TaoADMMUpdateType;
PETSC_EXTERN const char *const TaoADMMUpdateTypes[];
/*MC
     TAO_ADMM_UPDATE_BASIC - Use same spectral penalty set at the beginning. No update

  Level: advanced

  Note: Most basic implementation. Generally slower than adaptive or adaptive relaxed version.

.seealso: `TaoADMMSetUpdateType()`, `TAO_ADMM_UPDATE_ADAPTIVE`, `TAO_ADMM_UPDATE_ADAPTIVE_RELAXED`
M*/

/*MC
     TAO_ADMM_UPDATE_ADAPTIVE - Adaptively update spectral penalty

  Level: advanced

  Note: Adaptively updates spectral penalty by using both steepest descent and minimum gradient.

.seealso: `TaoADMMSetUpdateType()`, `TAO_ADMM_UPDATE_BASIC`, `TAO_ADMM_UPDATE_ADAPTIVE_RELAXED`
M*/

/*MC
     ADMM_UPDATE_ADAPTIVE_RELAXED - Adaptively update spectral penalty, and relaxes parameter update

  Level: advanced

  Note: With adaptive spectral penalty update, it also relaxes x vector update by a factor.

.seealso: `TaoADMMSetUpdateType()`, `TAO_ADMM_UPDATE_BASIC`, `TAO_ADMM_UPDATE_ADAPTIVE`
M*/

/*E
     TaoADMMRegularizerType - Determine regularizer routine - either user provided or soft threshold

  Level: advanced

.seealso `TaoADMMSetRegularizerType()`
E*/
typedef enum {TAO_ADMM_REGULARIZER_USER,TAO_ADMM_REGULARIZER_SOFT_THRESH} TaoADMMRegularizerType;
PETSC_EXTERN const char *const TaoADMMRegularizerTypes[];
/*MC
     TAO_ADMM_REGULARIZER_USER - User provided routines for regularizer part of ADMM

  Level: advanced

  Note: User needs to provided appropriate routines and type for regularizer solver

.seealso: `TaoADMMSetRegularizerType()`, `TAO_ADMM_REGULARIZER_SOFT_THRESH`
M*/

/*MC
     TAO_ADMM_REGULARIZER_SOFT_THRESH - Soft threshold to solve regularizer part of ADMM

  Level: advanced

  Note: Utilizes built-in SoftThreshold routines

.seealso: `TaoSoftThreshold()`, `TaoADMMSetRegularizerObjectiveAndGradientRoutine()`,
          `TaoADMMSetRegularizerHessianRoutine()`, `TaoADMMSetRegularizerType()`, `TAO_ADMM_REGULARIZER_USER`
M*/

/*E
     TaoALMMType - Determine the augmented Lagrangian formulation used in the TAOALMM subproblem.

$  TAO_ALMM_CLASSIC - classic augmented Lagrangian definition including slack variables for inequality constraints
$  TAO_ALMM_PHR     - Powell-Hestenes-Rockafellar formulation without slack variables, uses pointwise min() for inequalities

  Level: advanced

.seealso `TAOALMM`, `TaoALMMSetType()`, `TaoALMMGetType()`
E*/
typedef enum {TAO_ALMM_CLASSIC,TAO_ALMM_PHR} TaoALMMType;
PETSC_EXTERN const char *const TaoALMMTypes[];

typedef struct _p_Tao*   Tao;

/*J
        TaoType - String with the name of a TAO method

       Level: beginner

J*/
typedef const char *TaoType;
#define TAOLMVM     "lmvm"
#define TAONLS      "nls"
#define TAONTR      "ntr"
#define TAONTL      "ntl"
#define TAOCG       "cg"
#define TAOTRON     "tron"
#define TAOOWLQN    "owlqn"
#define TAOBMRM     "bmrm"
#define TAOBLMVM    "blmvm"
#define TAOBQNLS    "bqnls"
#define TAOBNCG     "bncg"
#define TAOBNLS     "bnls"
#define TAOBNTR     "bntr"
#define TAOBNTL     "bntl"
#define TAOBQNKLS   "bqnkls"
#define TAOBQNKTR   "bqnktr"
#define TAOBQNKTL   "bqnktl"
#define TAOBQPIP    "bqpip"
#define TAOGPCG     "gpcg"
#define TAONM       "nm"
#define TAOPOUNDERS "pounders"
#define TAOBRGN     "brgn"
#define TAOLCL      "lcl"
#define TAOSSILS    "ssils"
#define TAOSSFLS    "ssfls"
#define TAOASILS    "asils"
#define TAOASFLS    "asfls"
#define TAOIPM      "ipm"
#define TAOPDIPM    "pdipm"
#define TAOSHELL    "shell"
#define TAOADMM     "admm"
#define TAOALMM     "almm"
#define TAOPYTHON   "python"

PETSC_EXTERN PetscClassId TAO_CLASSID;
PETSC_EXTERN PetscFunctionList TaoList;

/*E
    TaoConvergedReason - reason a TAO method was said to have converged or diverged

   Level: beginner

   The two most common reasons for divergence are
$   1) an incorrectly coded or computed gradient or Hessian
$   2) failure or lack of convergence in the linear system (in this case we recommend
$      testing with -pc_type lu to eliminate the linear solver as the cause of the problem).

   Developer Notes:
    this must match petsc/finclude/petsctao.h

       The string versions of these are in TAOConvergedReasons, if you change any value here you must
     also adjust that array.

.seealso: `TaoSolve()`, `TaoGetConvergedReason()`, `KSPConvergedReason`, `SNESConvergedReason`, `TSConvergedReason`
E*/
typedef enum {/* converged */
  TAO_CONVERGED_GATOL         =  3, /* ||g(X)|| < gatol */
  TAO_CONVERGED_GRTOL         =  4, /* ||g(X)|| / f(X)  < grtol */
  TAO_CONVERGED_GTTOL         =  5, /* ||g(X)|| / ||g(X0)|| < gttol */
  TAO_CONVERGED_STEPTOL       =  6, /* step size small */
  TAO_CONVERGED_MINF          =  7, /* F < F_min */
  TAO_CONVERGED_USER          =  8, /* User defined */
  /* diverged */
  TAO_DIVERGED_MAXITS         = -2,
  TAO_DIVERGED_NAN            = -4,
  TAO_DIVERGED_MAXFCN         = -5,
  TAO_DIVERGED_LS_FAILURE     = -6,
  TAO_DIVERGED_TR_REDUCTION   = -7,
  TAO_DIVERGED_USER           = -8, /* User defined */
  /* keep going */
  TAO_CONTINUE_ITERATING      =  0} TaoConvergedReason;

PETSC_EXTERN const char **TaoConvergedReasons;

PETSC_EXTERN PetscErrorCode TaoInitializePackage(void);
PETSC_EXTERN PetscErrorCode TaoFinalizePackage(void);
PETSC_EXTERN PetscErrorCode TaoCreate(MPI_Comm,Tao*);
PETSC_EXTERN PetscErrorCode TaoSetFromOptions(Tao);
PETSC_EXTERN PetscErrorCode TaoSetUp(Tao);
PETSC_EXTERN PetscErrorCode TaoSetType(Tao,TaoType);
PETSC_EXTERN PetscErrorCode TaoGetType(Tao,TaoType*);
PETSC_EXTERN PetscErrorCode TaoSetApplicationContext(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoGetApplicationContext(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoDestroy(Tao*);

PETSC_EXTERN PetscErrorCode TaoSetOptionsPrefix(Tao,const char[]);
PETSC_EXTERN PetscErrorCode TaoView(Tao,PetscViewer);
PETSC_EXTERN PetscErrorCode TaoViewFromOptions(Tao,PetscObject,const char[]);

PETSC_EXTERN PetscErrorCode TaoSolve(Tao);

PETSC_EXTERN PetscErrorCode TaoRegister(const char[],PetscErrorCode (*)(Tao));
PETSC_EXTERN PetscErrorCode TaoRegisterDestroy(void);

PETSC_EXTERN PetscErrorCode TaoGetConvergedReason(Tao,TaoConvergedReason*);
PETSC_EXTERN PetscErrorCode TaoGetSolutionStatus(Tao,PetscInt*,PetscReal*,PetscReal*,PetscReal*,PetscReal*,TaoConvergedReason*);
PETSC_EXTERN PetscErrorCode TaoSetConvergedReason(Tao,TaoConvergedReason);
PETSC_EXTERN PetscErrorCode TaoSetSolution(Tao,Vec);
PETSC_EXTERN PetscErrorCode TaoGetSolution(Tao,Vec*);
PETSC_DEPRECATED_FUNCTION("Use TaoSetSolution() (since version 3.17)") static inline PetscErrorCode TaoSetInitialVector(Tao t,Vec v) { return TaoSetSolution(t,v); }
PETSC_DEPRECATED_FUNCTION("Use TaoGetSolution() (since version 3.17)") static inline PetscErrorCode TaoGetInitialVector(Tao t,Vec *v) { return TaoGetSolution(t,v); }

PETSC_EXTERN PetscErrorCode TaoSetObjective(Tao,PetscErrorCode(*)(Tao,Vec,PetscReal*,void*),void*);
PETSC_EXTERN PetscErrorCode TaoGetObjective(Tao,PetscErrorCode(**)(Tao,Vec,PetscReal*,void*),void**);
PETSC_EXTERN PetscErrorCode TaoSetGradient(Tao,Vec,PetscErrorCode(*)(Tao,Vec,Vec,void*),void*);
PETSC_EXTERN PetscErrorCode TaoGetGradient(Tao,Vec*,PetscErrorCode(**)(Tao,Vec,Vec,void*),void**);
PETSC_EXTERN PetscErrorCode TaoSetObjectiveAndGradient(Tao,Vec,PetscErrorCode(*)(Tao,Vec,PetscReal*,Vec,void*),void*);
PETSC_EXTERN PetscErrorCode TaoGetObjectiveAndGradient(Tao,Vec*,PetscErrorCode(**)(Tao,Vec,PetscReal*,Vec,void*),void**);
PETSC_EXTERN PetscErrorCode TaoSetHessian(Tao,Mat,Mat,PetscErrorCode(*)(Tao,Vec,Mat,Mat,void*),void*);
PETSC_EXTERN PetscErrorCode TaoGetHessian(Tao,Mat*,Mat*,PetscErrorCode(**)(Tao,Vec,Mat,Mat,void*),void**);
PETSC_DEPRECATED_FUNCTION("Use TaoSetObjective() (since version 3.17)") static inline PetscErrorCode TaoSetObjectiveRoutine(Tao t,PetscErrorCode (*f)(Tao,Vec,PetscReal*,void*),void *c) { return TaoSetObjective(t,f,c); }
PETSC_DEPRECATED_FUNCTION("Use TaoGetGradient() (since version 3.17)") static inline PetscErrorCode TaoGetGradientVector(Tao t,Vec *v) { return TaoGetGradient(t,v,NULL,NULL); }
PETSC_DEPRECATED_FUNCTION("Use TaoSetGradient() (since version 3.17)") static inline PetscErrorCode TaoSetGradientRoutine(Tao t,PetscErrorCode (*f)(Tao,Vec,Vec,void*),void *c) { return TaoSetGradient(t,NULL,f,c); }
PETSC_DEPRECATED_FUNCTION("Use TaoSetObjectiveAndGradient() (since version 3.17)") static inline PetscErrorCode TaoSetObjectiveAndGradientRoutine(Tao t,PetscErrorCode (*f)(Tao,Vec,PetscReal*,Vec,void*),void *c) { return TaoSetObjectiveAndGradient(t,NULL,f,c); }
PETSC_DEPRECATED_FUNCTION("Use TaoSetHessian() (since version 3.17)") static inline PetscErrorCode TaoSetHessianRoutine(Tao t,Mat H,Mat P,PetscErrorCode (*f)(Tao,Vec,Mat,Mat,void*),void *c) { return TaoSetHessian(t,H,P,f,c); }

PETSC_EXTERN PetscErrorCode TaoSetGradientNorm(Tao,Mat);
PETSC_EXTERN PetscErrorCode TaoGetGradientNorm(Tao,Mat*);
PETSC_EXTERN PetscErrorCode TaoSetLMVMMatrix(Tao,Mat);
PETSC_EXTERN PetscErrorCode TaoGetLMVMMatrix(Tao,Mat*);
PETSC_EXTERN PetscErrorCode TaoSetRecycleHistory(Tao,PetscBool);
PETSC_EXTERN PetscErrorCode TaoGetRecycleHistory(Tao,PetscBool*);
PETSC_EXTERN PetscErrorCode TaoLMVMSetH0(Tao,Mat);
PETSC_EXTERN PetscErrorCode TaoLMVMGetH0(Tao,Mat*);
PETSC_EXTERN PetscErrorCode TaoLMVMGetH0KSP(Tao,KSP*);
PETSC_EXTERN PetscErrorCode TaoLMVMRecycle(Tao,PetscBool);
PETSC_EXTERN PetscErrorCode TaoSetResidualRoutine(Tao,Vec,PetscErrorCode(*)(Tao,Vec,Vec,void*),void*);
PETSC_EXTERN PetscErrorCode TaoSetResidualWeights(Tao,Vec,PetscInt,PetscInt*,PetscInt*,PetscReal*);
PETSC_EXTERN PetscErrorCode TaoSetConstraintsRoutine(Tao,Vec,PetscErrorCode(*)(Tao,Vec,Vec,void*),void*);
PETSC_EXTERN PetscErrorCode TaoSetInequalityConstraintsRoutine(Tao,Vec,PetscErrorCode(*)(Tao,Vec,Vec,void*),void*);
PETSC_EXTERN PetscErrorCode TaoSetEqualityConstraintsRoutine(Tao,Vec,PetscErrorCode(*)(Tao,Vec,Vec,void*),void*);
PETSC_EXTERN PetscErrorCode TaoSetJacobianResidualRoutine(Tao,Mat,Mat,PetscErrorCode(*)(Tao,Vec,Mat,Mat,void*),void*);
PETSC_EXTERN PetscErrorCode TaoSetJacobianRoutine(Tao,Mat,Mat,PetscErrorCode(*)(Tao,Vec,Mat,Mat,void*),void*);
PETSC_EXTERN PetscErrorCode TaoSetJacobianStateRoutine(Tao,Mat,Mat,Mat,PetscErrorCode(*)(Tao,Vec,Mat,Mat,Mat,void*),void*);
PETSC_EXTERN PetscErrorCode TaoSetJacobianDesignRoutine(Tao,Mat,PetscErrorCode(*)(Tao,Vec,Mat,void*),void*);
PETSC_EXTERN PetscErrorCode TaoSetJacobianInequalityRoutine(Tao,Mat,Mat,PetscErrorCode(*)(Tao,Vec,Mat,Mat,void*),void*);
PETSC_EXTERN PetscErrorCode TaoSetJacobianEqualityRoutine(Tao,Mat,Mat,PetscErrorCode(*)(Tao,Vec,Mat,Mat,void*),void*);

PETSC_EXTERN PetscErrorCode TaoPythonSetType(Tao,const char[]);

PETSC_EXTERN PetscErrorCode TaoShellSetSolve(Tao,PetscErrorCode(*)(Tao));
PETSC_EXTERN PetscErrorCode TaoShellSetContext(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoShellGetContext(Tao,void*);

PETSC_DEPRECATED_FUNCTION("Use TaoSetResidualRoutine() (since version 3.11)") static inline PetscErrorCode TaoSetSeparableObjectiveRoutine(Tao tao,Vec res,PetscErrorCode (*func)(Tao,Vec,Vec,void*),void *ctx) {return TaoSetResidualRoutine(tao,res,func,ctx);}
PETSC_DEPRECATED_FUNCTION("Use TaoSetResidualWeights() (since version 3.11)") static inline PetscErrorCode TaoSetSeparableObjectiveWeights(Tao tao,Vec sigma_v,PetscInt n,PetscInt *rows,PetscInt *cols,PetscReal *vals) {return TaoSetResidualWeights(tao,sigma_v,n,rows,cols,vals);}

PETSC_EXTERN PetscErrorCode TaoSetStateDesignIS(Tao,IS,IS);

PETSC_EXTERN PetscErrorCode TaoComputeObjective(Tao,Vec,PetscReal*);
PETSC_EXTERN PetscErrorCode TaoComputeResidual(Tao,Vec,Vec);
PETSC_EXTERN PetscErrorCode TaoTestGradient(Tao,Vec,Vec);
PETSC_EXTERN PetscErrorCode TaoComputeGradient(Tao,Vec,Vec);
PETSC_EXTERN PetscErrorCode TaoComputeObjectiveAndGradient(Tao,Vec,PetscReal*,Vec);
PETSC_EXTERN PetscErrorCode TaoComputeConstraints(Tao,Vec,Vec);
PETSC_EXTERN PetscErrorCode TaoComputeInequalityConstraints(Tao,Vec,Vec);
PETSC_EXTERN PetscErrorCode TaoComputeEqualityConstraints(Tao,Vec,Vec);
PETSC_EXTERN PetscErrorCode TaoDefaultComputeGradient(Tao,Vec,Vec,void*);
PETSC_EXTERN PetscErrorCode TaoIsObjectiveDefined(Tao,PetscBool*);
PETSC_EXTERN PetscErrorCode TaoIsGradientDefined(Tao,PetscBool*);
PETSC_EXTERN PetscErrorCode TaoIsObjectiveAndGradientDefined(Tao,PetscBool*);

PETSC_DEPRECATED_FUNCTION("Use TaoComputeResidual() (since version 3.11)") static inline PetscErrorCode TaoComputeSeparableObjective(Tao tao,Vec X,Vec F) {return TaoComputeResidual(tao,X,F);}

PETSC_EXTERN PetscErrorCode TaoTestHessian(Tao);
PETSC_EXTERN PetscErrorCode TaoComputeHessian(Tao,Vec,Mat,Mat);
PETSC_EXTERN PetscErrorCode TaoComputeResidualJacobian(Tao,Vec,Mat,Mat);
PETSC_EXTERN PetscErrorCode TaoComputeJacobian(Tao,Vec,Mat,Mat);
PETSC_EXTERN PetscErrorCode TaoComputeJacobianState(Tao,Vec,Mat,Mat,Mat);
PETSC_EXTERN PetscErrorCode TaoComputeJacobianEquality(Tao,Vec,Mat,Mat);
PETSC_EXTERN PetscErrorCode TaoComputeJacobianInequality(Tao,Vec,Mat,Mat);
PETSC_EXTERN PetscErrorCode TaoComputeJacobianDesign(Tao,Vec,Mat);

PETSC_EXTERN PetscErrorCode TaoDefaultComputeHessian(Tao,Vec,Mat,Mat,void*);
PETSC_EXTERN PetscErrorCode TaoDefaultComputeHessianColor(Tao,Vec,Mat,Mat,void*);
PETSC_EXTERN PetscErrorCode TaoDefaultComputeHessianMFFD(Tao,Vec,Mat,Mat,void*);
PETSC_EXTERN PetscErrorCode TaoComputeDualVariables(Tao,Vec,Vec);
PETSC_EXTERN PetscErrorCode TaoSetVariableBounds(Tao,Vec,Vec);
PETSC_EXTERN PetscErrorCode TaoGetVariableBounds(Tao,Vec*,Vec*);
PETSC_EXTERN PetscErrorCode TaoGetDualVariables(Tao,Vec*,Vec*);
PETSC_EXTERN PetscErrorCode TaoSetInequalityBounds(Tao,Vec,Vec);
PETSC_EXTERN PetscErrorCode TaoGetInequalityBounds(Tao,Vec*,Vec*);
PETSC_EXTERN PetscErrorCode TaoSetVariableBoundsRoutine(Tao,PetscErrorCode(*)(Tao,Vec,Vec,void*),void*);
PETSC_EXTERN PetscErrorCode TaoComputeVariableBounds(Tao);

PETSC_EXTERN PetscErrorCode TaoGetTolerances(Tao,PetscReal*,PetscReal*,PetscReal*);
PETSC_EXTERN PetscErrorCode TaoSetTolerances(Tao,PetscReal,PetscReal,PetscReal);
PETSC_EXTERN PetscErrorCode TaoGetConstraintTolerances(Tao,PetscReal*,PetscReal*);
PETSC_EXTERN PetscErrorCode TaoSetConstraintTolerances(Tao,PetscReal,PetscReal);
PETSC_EXTERN PetscErrorCode TaoSetFunctionLowerBound(Tao,PetscReal);
PETSC_EXTERN PetscErrorCode TaoSetInitialTrustRegionRadius(Tao,PetscReal);
PETSC_EXTERN PetscErrorCode TaoSetMaximumIterations(Tao,PetscInt);
PETSC_EXTERN PetscErrorCode TaoSetMaximumFunctionEvaluations(Tao,PetscInt);
PETSC_EXTERN PetscErrorCode TaoGetFunctionLowerBound(Tao,PetscReal*);
PETSC_EXTERN PetscErrorCode TaoGetInitialTrustRegionRadius(Tao,PetscReal*);
PETSC_EXTERN PetscErrorCode TaoGetCurrentTrustRegionRadius(Tao,PetscReal*);
PETSC_EXTERN PetscErrorCode TaoGetMaximumIterations(Tao,PetscInt*);
PETSC_EXTERN PetscErrorCode TaoGetCurrentFunctionEvaluations(Tao,PetscInt*);
PETSC_EXTERN PetscErrorCode TaoGetMaximumFunctionEvaluations(Tao,PetscInt*);
PETSC_EXTERN PetscErrorCode TaoGetIterationNumber(Tao,PetscInt*);
PETSC_EXTERN PetscErrorCode TaoSetIterationNumber(Tao,PetscInt);
PETSC_EXTERN PetscErrorCode TaoGetTotalIterationNumber(Tao,PetscInt*);
PETSC_EXTERN PetscErrorCode TaoSetTotalIterationNumber(Tao,PetscInt);
PETSC_EXTERN PetscErrorCode TaoGetResidualNorm(Tao,PetscReal*);

PETSC_EXTERN PetscErrorCode TaoAppendOptionsPrefix(Tao,const char[]);
PETSC_EXTERN PetscErrorCode TaoGetOptionsPrefix(Tao,const char*[]);
PETSC_EXTERN PetscErrorCode TaoResetStatistics(Tao);
PETSC_EXTERN PetscErrorCode TaoSetUpdate(Tao,PetscErrorCode(*)(Tao,PetscInt,void*),void*);

PETSC_EXTERN PetscErrorCode TaoGetKSP(Tao,KSP*);
PETSC_EXTERN PetscErrorCode TaoGetLinearSolveIterations(Tao,PetscInt*);

#include <petsctaolinesearch.h>

PETSC_EXTERN PetscErrorCode TaoGetLineSearch(Tao,TaoLineSearch*);

PETSC_EXTERN PetscErrorCode TaoSetConvergenceHistory(Tao,PetscReal*,PetscReal*,PetscReal*,PetscInt*,PetscInt,PetscBool);
PETSC_EXTERN PetscErrorCode TaoGetConvergenceHistory(Tao,PetscReal**,PetscReal**,PetscReal**,PetscInt**,PetscInt*);
PETSC_EXTERN PetscErrorCode TaoSetMonitor(Tao,PetscErrorCode (*)(Tao,void*),void *,PetscErrorCode (*)(void**));
PETSC_EXTERN PetscErrorCode TaoCancelMonitors(Tao);
PETSC_EXTERN PetscErrorCode TaoMonitorDefault(Tao,void*);
PETSC_DEPRECATED_FUNCTION("Use TaoMonitorDefault() (since version 3.9)") static inline PetscErrorCode TaoDefaultMonitor(Tao tao,void*ctx) {return TaoMonitorDefault(tao,ctx);}
PETSC_EXTERN PetscErrorCode TaoDefaultGMonitor(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoDefaultSMonitor(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoDefaultCMonitor(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoSolutionMonitor(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoResidualMonitor(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoGradientMonitor(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoStepDirectionMonitor(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoDrawSolutionMonitor(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoDrawStepMonitor(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoDrawGradientMonitor(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoAddLineSearchCounts(Tao);

PETSC_EXTERN PetscErrorCode TaoDefaultConvergenceTest(Tao,void*);
PETSC_EXTERN PetscErrorCode TaoSetConvergenceTest(Tao,PetscErrorCode (*)(Tao,void*),void *);

PETSC_EXTERN PetscErrorCode TaoLCLSetStateDesignIS(Tao,IS,IS);
PETSC_EXTERN PetscErrorCode TaoMonitor(Tao,PetscInt,PetscReal,PetscReal,PetscReal,PetscReal);
typedef struct _n_TaoMonitorDrawCtx* TaoMonitorDrawCtx;
PETSC_EXTERN PetscErrorCode TaoMonitorDrawCtxCreate(MPI_Comm,const char[],const char[],int,int,int,int,PetscInt,TaoMonitorDrawCtx*);
PETSC_EXTERN PetscErrorCode TaoMonitorDrawCtxDestroy(TaoMonitorDrawCtx*);

PETSC_EXTERN PetscErrorCode TaoBRGNGetSubsolver(Tao,Tao *);
PETSC_EXTERN PetscErrorCode TaoBRGNSetRegularizerObjectiveAndGradientRoutine(Tao,PetscErrorCode (*)(Tao,Vec,PetscReal*,Vec,void*),void*);
PETSC_EXTERN PetscErrorCode TaoBRGNSetRegularizerHessianRoutine(Tao,Mat,PetscErrorCode (*)(Tao,Vec,Mat,void*),void*);
PETSC_EXTERN PetscErrorCode TaoBRGNSetRegularizerWeight(Tao,PetscReal);
PETSC_EXTERN PetscErrorCode TaoBRGNSetL1SmoothEpsilon(Tao,PetscReal);
PETSC_EXTERN PetscErrorCode TaoBRGNSetDictionaryMatrix(Tao,Mat);
PETSC_EXTERN PetscErrorCode TaoBRGNGetDampingVector(Tao,Vec *);

PETSC_EXTERN PetscErrorCode TaoADMMGetMisfitSubsolver(Tao,Tao *);
PETSC_EXTERN PetscErrorCode TaoADMMGetRegularizationSubsolver(Tao,Tao *);
PETSC_EXTERN PetscErrorCode TaoADMMGetDualVector(Tao,Vec*);
PETSC_EXTERN PetscErrorCode TaoADMMGetSpectralPenalty(Tao,PetscReal*);
PETSC_EXTERN PetscErrorCode TaoADMMSetSpectralPenalty(Tao,PetscReal);
PETSC_EXTERN PetscErrorCode TaoGetADMMParentTao(Tao,Tao *);
PETSC_EXTERN PetscErrorCode TaoADMMSetConstraintVectorRHS(Tao,Vec);
PETSC_EXTERN PetscErrorCode TaoADMMSetRegularizerCoefficient(Tao,PetscReal);
PETSC_EXTERN PetscErrorCode TaoADMMSetMisfitConstraintJacobian(Tao,Mat,Mat,PetscErrorCode (*)(Tao,Vec,Mat,Mat,void*),void*);
PETSC_EXTERN PetscErrorCode TaoADMMSetRegularizerConstraintJacobian(Tao,Mat,Mat,PetscErrorCode (*)(Tao,Vec,Mat,Mat,void*),void*);
PETSC_EXTERN PetscErrorCode TaoADMMSetRegularizerHessianRoutine(Tao,Mat,Mat,PetscErrorCode (*)(Tao,Vec,Mat,Mat,void*),void*);
PETSC_EXTERN PetscErrorCode TaoADMMSetRegularizerObjectiveAndGradientRoutine(Tao,PetscErrorCode (*)(Tao,Vec,PetscReal *,Vec,void*),void*);
PETSC_EXTERN PetscErrorCode TaoADMMSetMisfitHessianRoutine(Tao,Mat,Mat,PetscErrorCode (*)(Tao,Vec,Mat,Mat,void*),void*);
PETSC_EXTERN PetscErrorCode TaoADMMSetMisfitObjectiveAndGradientRoutine(Tao,PetscErrorCode (*)(Tao,Vec,PetscReal *,Vec,void*),void*);
PETSC_EXTERN PetscErrorCode TaoADMMSetMisfitHessianChangeStatus(Tao,PetscBool);
PETSC_EXTERN PetscErrorCode TaoADMMSetRegHessianChangeStatus(Tao,PetscBool);
PETSC_EXTERN PetscErrorCode TaoADMMSetMinimumSpectralPenalty(Tao,PetscReal);
PETSC_EXTERN PetscErrorCode TaoADMMSetRegularizerType(Tao,TaoADMMRegularizerType);
PETSC_EXTERN PetscErrorCode TaoADMMGetRegularizerType(Tao,TaoADMMRegularizerType*);
PETSC_EXTERN PetscErrorCode TaoADMMSetUpdateType(Tao,TaoADMMUpdateType);
PETSC_EXTERN PetscErrorCode TaoADMMGetUpdateType(Tao,TaoADMMUpdateType*);

PETSC_EXTERN PetscErrorCode TaoALMMGetType(Tao,TaoALMMType*);
PETSC_EXTERN PetscErrorCode TaoALMMSetType(Tao,TaoALMMType);
PETSC_EXTERN PetscErrorCode TaoALMMGetSubsolver(Tao,Tao*);
PETSC_EXTERN PetscErrorCode TaoALMMSetSubsolver(Tao,Tao);
PETSC_EXTERN PetscErrorCode TaoALMMGetMultipliers(Tao,Vec*);
PETSC_EXTERN PetscErrorCode TaoALMMSetMultipliers(Tao,Vec);
PETSC_EXTERN PetscErrorCode TaoALMMGetPrimalIS(Tao,IS*,IS*);
PETSC_EXTERN PetscErrorCode TaoALMMGetDualIS(Tao,IS*,IS*);
#endif