Date: 2025-03-29T05:58:17+00:00

Actual source code: petscksp.h

      1: /*
      2:    Defines the interface functions for the Krylov subspace accelerators.
      3: */
      4: #pragma once

      6: #include <petscpc.h>

      8: /* SUBMANSEC = KSP */

     10: PETSC_EXTERN PetscErrorCode KSPInitializePackage(void);
     11: PETSC_EXTERN PetscErrorCode KSPFinalizePackage(void);

     13: /*S
     14:    KSP - Abstract PETSc object that manages the linear solves in PETSc (even those such as direct factorization-based solvers that
     15:          do not use Krylov accelerators).

     17:    Level: beginner

     19:    Notes:
     20:    When a direct solver is used, but no Krylov solver is used, the `KSP` object is still used but with a
     21:    `KSPType` of `KSPPREONLY` (or equivalently `KSPNONE`), meaning that only application of the preconditioner is used as the linear solver.

     23:    Use `KSPSetType()` or the options database key `-ksp_type` to set the specific Krylov solver algorithm to use with a given `KSP` object

     25:    The `PC` object is used to control preconditioners in PETSc.

     27: .seealso: [](doc_linsolve), [](ch_ksp), `KSPCreate()`, `KSPSetType()`, `KSPType`, `SNES`, `TS`, `PC`, `KSP`, `KSPDestroy()`, `KSPCG`, `KSPGMRES`
     28: S*/
     29: typedef struct _p_KSP *KSP;

     31: /*J
     32:    KSPType - String with the name of a PETSc Krylov method. These are all the Krylov solvers that PETSc provides.

     34:    Level: beginner

     36: .seealso: [](doc_linsolve), [](ch_ksp), `KSPSetType()`, `KSP`, `KSPRegister()`, `KSPCreate()`, `KSPSetFromOptions()`
     37: J*/
     38: typedef const char *KSPType;
     39: #define KSPRICHARDSON "richardson"
     40: #define KSPCHEBYSHEV  "chebyshev"
     41: #define KSPCG         "cg"
     42: #define KSPGROPPCG    "groppcg"
     43: #define KSPPIPECG     "pipecg"
     44: #define KSPPIPECGRR   "pipecgrr"
     45: #define KSPPIPELCG    "pipelcg"
     46: #define KSPPIPEPRCG   "pipeprcg"
     47: #define KSPPIPECG2    "pipecg2"
     48: #define KSPCGNE       "cgne"
     49: #define KSPNASH       "nash"
     50: #define KSPSTCG       "stcg"
     51: #define KSPGLTR       "gltr"
     52: #define KSPCGNASH     PETSC_DEPRECATED_MACRO(3, 11, 0, "KSPNASH", ) "nash"
     53: #define KSPCGSTCG     PETSC_DEPRECATED_MACRO(3, 11, 0, "KSPSTCG", ) "stcg"
     54: #define KSPCGGLTR     PETSC_DEPRECATED_MACRO(3, 11, 0, "KSPSGLTR", ) "gltr"
     55: #define KSPFCG        "fcg"
     56: #define KSPPIPEFCG    "pipefcg"
     57: #define KSPGMRES      "gmres"
     58: #define KSPPIPEFGMRES "pipefgmres"
     59: #define KSPFGMRES     "fgmres"
     60: #define KSPLGMRES     "lgmres"
     61: #define KSPDGMRES     "dgmres"
     62: #define KSPPGMRES     "pgmres"
     63: #define KSPTCQMR      "tcqmr"
     64: #define KSPBCGS       "bcgs"
     65: #define KSPIBCGS      "ibcgs"
     66: #define KSPQMRCGS     "qmrcgs"
     67: #define KSPFBCGS      "fbcgs"
     68: #define KSPFBCGSR     "fbcgsr"
     69: #define KSPBCGSL      "bcgsl"
     70: #define KSPPIPEBCGS   "pipebcgs"
     71: #define KSPCGS        "cgs"
     72: #define KSPTFQMR      "tfqmr"
     73: #define KSPCR         "cr"
     74: #define KSPPIPECR     "pipecr"
     75: #define KSPLSQR       "lsqr"
     76: #define KSPPREONLY    "preonly"
     77: #define KSPNONE       "none"
     78: #define KSPQCG        "qcg"
     79: #define KSPBICG       "bicg"
     80: #define KSPMINRES     "minres"
     81: #define KSPSYMMLQ     "symmlq"
     82: #define KSPLCD        "lcd"
     83: #define KSPPYTHON     "python"
     84: #define KSPGCR        "gcr"
     85: #define KSPPIPEGCR    "pipegcr"
     86: #define KSPTSIRM      "tsirm"
     87: #define KSPCGLS       "cgls"
     88: #define KSPFETIDP     "fetidp"
     89: #define KSPHPDDM      "hpddm"

     91: /* Logging support */
     92: PETSC_EXTERN PetscClassId KSP_CLASSID;
     93: PETSC_EXTERN PetscClassId KSPGUESS_CLASSID;
     94: PETSC_EXTERN PetscClassId DMKSP_CLASSID;

     96: PETSC_EXTERN PetscErrorCode KSPCreate(MPI_Comm, KSP *);
     97: PETSC_EXTERN PetscErrorCode KSPSetType(KSP, KSPType);
     98: PETSC_EXTERN PetscErrorCode KSPGetType(KSP, KSPType *);
     99: PETSC_EXTERN PetscErrorCode KSPSetUp(KSP);
    100: PETSC_EXTERN PetscErrorCode KSPSetUpOnBlocks(KSP);
    101: PETSC_EXTERN PetscErrorCode KSPSolve(KSP, Vec, Vec);
    102: PETSC_EXTERN PetscErrorCode KSPSolveTranspose(KSP, Vec, Vec);
    103: PETSC_EXTERN PetscErrorCode KSPSetUseExplicitTranspose(KSP, PetscBool);
    104: PETSC_EXTERN PetscErrorCode KSPMatSolve(KSP, Mat, Mat);
    105: PETSC_EXTERN PetscErrorCode KSPMatSolveTranspose(KSP, Mat, Mat);
    106: PETSC_EXTERN PetscErrorCode KSPSetMatSolveBatchSize(KSP, PetscInt);
    107: PETSC_DEPRECATED_FUNCTION(3, 15, 0, "KSPSetMatSolveBatchSize()", ) static inline PetscErrorCode KSPSetMatSolveBlockSize(KSP ksp, PetscInt n)
    108: {
    109:   return KSPSetMatSolveBatchSize(ksp, n);
    110: }
    111: PETSC_EXTERN PetscErrorCode KSPGetMatSolveBatchSize(KSP, PetscInt *);
    112: PETSC_DEPRECATED_FUNCTION(3, 15, 0, "KSPGetMatSolveBatchSize()", ) static inline PetscErrorCode KSPGetMatSolveBlockSize(KSP ksp, PetscInt *n)
    113: {
    114:   return KSPGetMatSolveBatchSize(ksp, n);
    115: }
    116: PETSC_EXTERN PetscErrorCode KSPReset(KSP);
    117: PETSC_EXTERN PetscErrorCode KSPResetViewers(KSP);
    118: PETSC_EXTERN PetscErrorCode KSPDestroy(KSP *);
    119: PETSC_EXTERN PetscErrorCode KSPSetReusePreconditioner(KSP, PetscBool);
    120: PETSC_EXTERN PetscErrorCode KSPGetReusePreconditioner(KSP, PetscBool *);
    121: PETSC_EXTERN PetscErrorCode KSPSetSkipPCSetFromOptions(KSP, PetscBool);
    122: PETSC_EXTERN PetscErrorCode KSPCheckSolve(KSP, PC, Vec);

    124: PETSC_EXTERN PetscFunctionList KSPList;
    125: PETSC_EXTERN PetscFunctionList KSPGuessList;
    126: PETSC_EXTERN PetscFunctionList KSPMonitorList;
    127: PETSC_EXTERN PetscFunctionList KSPMonitorCreateList;
    128: PETSC_EXTERN PetscFunctionList KSPMonitorDestroyList;
    129: PETSC_EXTERN PetscErrorCode    KSPRegister(const char[], PetscErrorCode (*)(KSP));
    130: PETSC_EXTERN PetscErrorCode KSPMonitorRegister(const char[], PetscViewerType, PetscViewerFormat, PetscErrorCode (*)(KSP, PetscInt, PetscReal, PetscViewerAndFormat *), PetscErrorCode (*)(PetscViewer, PetscViewerFormat, void *, PetscViewerAndFormat **), PetscErrorCode (*)(PetscViewerAndFormat **));

    132: PETSC_EXTERN PetscErrorCode KSPSetPCSide(KSP, PCSide);
    133: PETSC_EXTERN PetscErrorCode KSPGetPCSide(KSP, PCSide *);
    134: PETSC_EXTERN PetscErrorCode KSPSetTolerances(KSP, PetscReal, PetscReal, PetscReal, PetscInt);
    135: PETSC_EXTERN PetscErrorCode KSPGetTolerances(KSP, PetscReal *, PetscReal *, PetscReal *, PetscInt *);
    136: PETSC_EXTERN PetscErrorCode KSPSetMinimumIterations(KSP, PetscInt);
    137: PETSC_EXTERN PetscErrorCode KSPGetMinimumIterations(KSP, PetscInt *);
    138: PETSC_EXTERN PetscErrorCode KSPSetInitialGuessNonzero(KSP, PetscBool);
    139: PETSC_EXTERN PetscErrorCode KSPGetInitialGuessNonzero(KSP, PetscBool *);
    140: PETSC_EXTERN PetscErrorCode KSPSetErrorIfNotConverged(KSP, PetscBool);
    141: PETSC_EXTERN PetscErrorCode KSPGetErrorIfNotConverged(KSP, PetscBool *);
    142: PETSC_EXTERN PetscErrorCode KSPSetComputeEigenvalues(KSP, PetscBool);
    143: PETSC_EXTERN PetscErrorCode KSPSetComputeRitz(KSP, PetscBool);
    144: PETSC_EXTERN PetscErrorCode KSPGetComputeEigenvalues(KSP, PetscBool *);
    145: PETSC_EXTERN PetscErrorCode KSPSetComputeSingularValues(KSP, PetscBool);
    146: PETSC_EXTERN PetscErrorCode KSPGetComputeSingularValues(KSP, PetscBool *);
    147: PETSC_EXTERN PetscErrorCode KSPGetRhs(KSP, Vec *);
    148: PETSC_EXTERN PetscErrorCode KSPGetSolution(KSP, Vec *);
    149: PETSC_EXTERN PetscErrorCode KSPGetResidualNorm(KSP, PetscReal *);
    150: PETSC_EXTERN PetscErrorCode KSPGetIterationNumber(KSP, PetscInt *);
    151: PETSC_EXTERN PetscErrorCode KSPGetTotalIterations(KSP, PetscInt *);
    152: PETSC_EXTERN PetscErrorCode KSPCreateVecs(KSP, PetscInt, Vec **, PetscInt, Vec **);
    153: PETSC_DEPRECATED_FUNCTION(3, 6, 0, "KSPCreateVecs()", ) static inline PetscErrorCode KSPGetVecs(KSP ksp, PetscInt n, Vec **x, PetscInt m, Vec **y)
    154: {
    155:   return KSPCreateVecs(ksp, n, x, m, y);
    156: }

    158: PETSC_EXTERN PetscErrorCode KSPSetPreSolve(KSP, PetscErrorCode (*)(KSP, Vec, Vec, void *), void *);
    159: PETSC_EXTERN PetscErrorCode KSPSetPostSolve(KSP, PetscErrorCode (*)(KSP, Vec, Vec, void *), void *);

    161: PETSC_EXTERN PetscErrorCode KSPSetPC(KSP, PC);
    162: PETSC_EXTERN PetscErrorCode KSPGetPC(KSP, PC *);
    163: PETSC_EXTERN PetscErrorCode KSPSetNestLevel(KSP, PetscInt);
    164: PETSC_EXTERN PetscErrorCode KSPGetNestLevel(KSP, PetscInt *);

    166: PETSC_EXTERN PetscErrorCode KSPMonitor(KSP, PetscInt, PetscReal);
    167: PETSC_EXTERN PetscErrorCode KSPMonitorSet(KSP, PetscErrorCode (*)(KSP, PetscInt, PetscReal, void *), void *, PetscCtxDestroyFn *);
    168: PETSC_EXTERN PetscErrorCode KSPMonitorCancel(KSP);
    169: PETSC_EXTERN PetscErrorCode KSPGetMonitorContext(KSP, void *);
    170: PETSC_EXTERN PetscErrorCode KSPGetResidualHistory(KSP, const PetscReal *[], PetscInt *);
    171: PETSC_EXTERN PetscErrorCode KSPSetResidualHistory(KSP, PetscReal[], PetscCount, PetscBool);
    172: PETSC_EXTERN PetscErrorCode KSPGetErrorHistory(KSP, const PetscReal *[], PetscInt *);
    173: PETSC_EXTERN PetscErrorCode KSPSetErrorHistory(KSP, PetscReal[], PetscCount, PetscBool);

    175: PETSC_EXTERN PetscErrorCode KSPBuildSolutionDefault(KSP, Vec, Vec *);
    176: PETSC_EXTERN PetscErrorCode KSPBuildResidualDefault(KSP, Vec, Vec, Vec *);
    177: PETSC_EXTERN PetscErrorCode KSPDestroyDefault(KSP);
    178: PETSC_EXTERN PetscErrorCode KSPSetWorkVecs(KSP, PetscInt);

    180: PETSC_EXTERN PetscErrorCode PCKSPGetKSP(PC, KSP *);
    181: PETSC_EXTERN PetscErrorCode PCKSPSetKSP(PC, KSP);
    182: PETSC_EXTERN PetscErrorCode PCBJacobiGetSubKSP(PC, PetscInt *, PetscInt *, KSP *[]);
    183: PETSC_EXTERN PetscErrorCode PCASMGetSubKSP(PC, PetscInt *, PetscInt *, KSP *[]);
    184: PETSC_EXTERN PetscErrorCode PCGASMGetSubKSP(PC, PetscInt *, PetscInt *, KSP *[]);
    185: PETSC_EXTERN PetscErrorCode PCPatchGetSubKSP(PC, PetscInt *, KSP *[]);
    186: PETSC_EXTERN PetscErrorCode PCFieldSplitGetSubKSP(PC, PetscInt *, KSP *[]);
    187: PETSC_EXTERN PetscErrorCode PCFieldSplitSchurGetSubKSP(PC, PetscInt *, KSP *[]);
    188: PETSC_EXTERN PetscErrorCode PCMGGetSmoother(PC, PetscInt, KSP *);
    189: PETSC_EXTERN PetscErrorCode PCMGGetSmootherDown(PC, PetscInt, KSP *);
    190: PETSC_EXTERN PetscErrorCode PCMGGetSmootherUp(PC, PetscInt, KSP *);
    191: PETSC_EXTERN PetscErrorCode PCMGGetCoarseSolve(PC, KSP *);
    192: PETSC_EXTERN PetscErrorCode PCGalerkinGetKSP(PC, KSP *);
    193: PETSC_EXTERN PetscErrorCode PCDeflationGetCoarseKSP(PC, KSP *);
    194: /*
    195:   PCMGCoarseList contains the list of coarse space constructor currently registered
    196:   These are added with PCMGRegisterCoarseSpaceConstructor()
    197: */
    198: PETSC_EXTERN PetscFunctionList PCMGCoarseList;
    199: PETSC_EXTERN PetscErrorCode    PCMGRegisterCoarseSpaceConstructor(const char[], PetscErrorCode (*)(PC, PetscInt, DM, KSP, PetscInt, Mat, Mat *));
    200: PETSC_EXTERN PetscErrorCode    PCMGGetCoarseSpaceConstructor(const char[], PetscErrorCode (**)(PC, PetscInt, DM, KSP, PetscInt, Mat, Mat *));

    202: PETSC_EXTERN PetscErrorCode KSPBuildSolution(KSP, Vec, Vec *);
    203: PETSC_EXTERN PetscErrorCode KSPBuildResidual(KSP, Vec, Vec, Vec *);

    205: /*E
    206:   KSPChebyshevKind - Which kind of Chebyshev polynomial to use with `KSPCHEBYSHEV`

    208:   Values:
    209: + `KSP_CHEBYSHEV_FIRST`      - "classic" first-kind Chebyshev polynomial
    210: . `KSP_CHEBYSHEV_FOURTH`     - fourth-kind Chebyshev polynomial
    211: - `KSP_CHEBYSHEV_OPT_FOURTH` - optimized fourth-kind Chebyshev polynomial

    213:   Level: intermediate

    215: .seealso: [](ch_ksp), `KSPCHEBYSHEV`, `KSPChebyshevSetKind()`, `KSPChebyshevGetKind()`
    216: E*/
    217: typedef enum {
    218:   KSP_CHEBYSHEV_FIRST,
    219:   KSP_CHEBYSHEV_FOURTH,
    220:   KSP_CHEBYSHEV_OPT_FOURTH
    221: } KSPChebyshevKind;

    223: PETSC_EXTERN PetscErrorCode KSPRichardsonSetScale(KSP, PetscReal);
    224: PETSC_EXTERN PetscErrorCode KSPRichardsonSetSelfScale(KSP, PetscBool);
    225: PETSC_EXTERN PetscErrorCode KSPChebyshevSetEigenvalues(KSP, PetscReal, PetscReal);
    226: PETSC_EXTERN PetscErrorCode KSPChebyshevEstEigSet(KSP, PetscReal, PetscReal, PetscReal, PetscReal);
    227: PETSC_EXTERN PetscErrorCode KSPChebyshevEstEigSetUseNoisy(KSP, PetscBool);
    228: PETSC_EXTERN PetscErrorCode KSPChebyshevSetKind(KSP, KSPChebyshevKind);
    229: PETSC_EXTERN PetscErrorCode KSPChebyshevGetKind(KSP, KSPChebyshevKind *);
    230: PETSC_EXTERN PetscErrorCode KSPChebyshevEstEigGetKSP(KSP, KSP *);
    231: PETSC_EXTERN PetscErrorCode KSPComputeExtremeSingularValues(KSP, PetscReal *, PetscReal *);
    232: PETSC_EXTERN PetscErrorCode KSPComputeEigenvalues(KSP, PetscInt, PetscReal[], PetscReal[], PetscInt *);
    233: PETSC_EXTERN PetscErrorCode KSPComputeEigenvaluesExplicitly(KSP, PetscInt, PetscReal[], PetscReal[]);
    234: PETSC_EXTERN PetscErrorCode KSPComputeRitz(KSP, PetscBool, PetscBool, PetscInt *, Vec[], PetscReal[], PetscReal[]);

    236: /*E

    238:   KSPFCDTruncationType - Define how stored directions are used to orthogonalize in flexible conjugate directions (FCD) methods

    240:   Values:
    241: + `KSP_FCD_TRUNC_TYPE_STANDARD` - uses all (up to mmax) stored directions
    242: - `KSP_FCD_TRUNC_TYPE_NOTAY`    - uses the last max(1,mod(i,mmax)) stored directions at iteration i=0,1..

    244:    Level: intermediate

    246: .seealso: [](ch_ksp), `KSP`, `KSPFCG`, `KSPPIPEFCG`, `KSPPIPEGCR`, `KSPFCGSetTruncationType()`, `KSPFCGGetTruncationType()`
    247: E*/
    248: typedef enum {
    249:   KSP_FCD_TRUNC_TYPE_STANDARD,
    250:   KSP_FCD_TRUNC_TYPE_NOTAY
    251: } KSPFCDTruncationType;
    252: PETSC_EXTERN const char *const KSPFCDTruncationTypes[];

    254: PETSC_EXTERN PetscErrorCode KSPFCGSetMmax(KSP, PetscInt);
    255: PETSC_EXTERN PetscErrorCode KSPFCGGetMmax(KSP, PetscInt *);
    256: PETSC_EXTERN PetscErrorCode KSPFCGSetNprealloc(KSP, PetscInt);
    257: PETSC_EXTERN PetscErrorCode KSPFCGGetNprealloc(KSP, PetscInt *);
    258: PETSC_EXTERN PetscErrorCode KSPFCGSetTruncationType(KSP, KSPFCDTruncationType);
    259: PETSC_EXTERN PetscErrorCode KSPFCGGetTruncationType(KSP, KSPFCDTruncationType *);

    261: PETSC_EXTERN PetscErrorCode KSPPIPEFCGSetMmax(KSP, PetscInt);
    262: PETSC_EXTERN PetscErrorCode KSPPIPEFCGGetMmax(KSP, PetscInt *);
    263: PETSC_EXTERN PetscErrorCode KSPPIPEFCGSetNprealloc(KSP, PetscInt);
    264: PETSC_EXTERN PetscErrorCode KSPPIPEFCGGetNprealloc(KSP, PetscInt *);
    265: PETSC_EXTERN PetscErrorCode KSPPIPEFCGSetTruncationType(KSP, KSPFCDTruncationType);
    266: PETSC_EXTERN PetscErrorCode KSPPIPEFCGGetTruncationType(KSP, KSPFCDTruncationType *);

    268: PETSC_EXTERN PetscErrorCode KSPPIPEGCRSetMmax(KSP, PetscInt);
    269: PETSC_EXTERN PetscErrorCode KSPPIPEGCRGetMmax(KSP, PetscInt *);
    270: PETSC_EXTERN PetscErrorCode KSPPIPEGCRSetNprealloc(KSP, PetscInt);
    271: PETSC_EXTERN PetscErrorCode KSPPIPEGCRGetNprealloc(KSP, PetscInt *);
    272: PETSC_EXTERN PetscErrorCode KSPPIPEGCRSetTruncationType(KSP, KSPFCDTruncationType);
    273: PETSC_EXTERN PetscErrorCode KSPPIPEGCRGetTruncationType(KSP, KSPFCDTruncationType *);
    274: PETSC_EXTERN PetscErrorCode KSPPIPEGCRSetUnrollW(KSP, PetscBool);
    275: PETSC_EXTERN PetscErrorCode KSPPIPEGCRGetUnrollW(KSP, PetscBool *);
    276: PETSC_EXTERN PetscErrorCode KSPPIPEGCRSetModifyPC(KSP, PetscErrorCode (*)(KSP, PetscInt, PetscReal, void *), void *, PetscErrorCode (*)(void *));

    278: PETSC_EXTERN PetscErrorCode KSPGMRESSetRestart(KSP, PetscInt);
    279: PETSC_EXTERN PetscErrorCode KSPGMRESGetRestart(KSP, PetscInt *);
    280: PETSC_EXTERN PetscErrorCode KSPGMRESSetHapTol(KSP, PetscReal);
    281: PETSC_EXTERN PetscErrorCode KSPGMRESSetBreakdownTolerance(KSP, PetscReal);

    283: PETSC_EXTERN PetscErrorCode KSPGMRESSetPreAllocateVectors(KSP);
    284: PETSC_EXTERN PetscErrorCode KSPGMRESSetOrthogonalization(KSP, PetscErrorCode (*)(KSP, PetscInt));
    285: PETSC_EXTERN PetscErrorCode KSPGMRESGetOrthogonalization(KSP, PetscErrorCode (**)(KSP, PetscInt));
    286: PETSC_EXTERN PetscErrorCode KSPGMRESModifiedGramSchmidtOrthogonalization(KSP, PetscInt);
    287: PETSC_EXTERN PetscErrorCode KSPGMRESClassicalGramSchmidtOrthogonalization(KSP, PetscInt);

    289: PETSC_EXTERN PetscErrorCode KSPLGMRESSetAugDim(KSP, PetscInt);
    290: PETSC_EXTERN PetscErrorCode KSPLGMRESSetConstant(KSP);

    292: PETSC_EXTERN PetscErrorCode KSPPIPEFGMRESSetShift(KSP, PetscScalar);

    294: PETSC_EXTERN PetscErrorCode KSPGCRSetRestart(KSP, PetscInt);
    295: PETSC_EXTERN PetscErrorCode KSPGCRGetRestart(KSP, PetscInt *);
    296: PETSC_EXTERN PetscErrorCode KSPGCRSetModifyPC(KSP, PetscErrorCode (*)(KSP, PetscInt, PetscReal, void *), void *, PetscErrorCode (*)(void *));

    298: PETSC_EXTERN PetscErrorCode KSPMINRESSetRadius(KSP, PetscReal);
    299: PETSC_EXTERN PetscErrorCode KSPMINRESGetUseQLP(KSP, PetscBool *);
    300: PETSC_EXTERN PetscErrorCode KSPMINRESSetUseQLP(KSP, PetscBool);

    302: PETSC_EXTERN PetscErrorCode KSPFETIDPGetInnerBDDC(KSP, PC *);
    303: PETSC_EXTERN PetscErrorCode KSPFETIDPSetInnerBDDC(KSP, PC);
    304: PETSC_EXTERN PetscErrorCode KSPFETIDPGetInnerKSP(KSP, KSP *);
    305: PETSC_EXTERN PetscErrorCode KSPFETIDPSetPressureOperator(KSP, Mat);

    307: PETSC_EXTERN PetscErrorCode KSPHPDDMSetDeflationMat(KSP, Mat);
    308: PETSC_EXTERN PetscErrorCode KSPHPDDMGetDeflationMat(KSP, Mat *);
    309: #if PetscDefined(HAVE_HPDDM)
    310: PETSC_DEPRECATED_FUNCTION(3, 18, 0, "KSPHPDDMSetDeflationMat()", ) static inline PetscErrorCode KSPHPDDMSetDeflationSpace(KSP ksp, Mat U)
    311: {
    312:   return KSPHPDDMSetDeflationMat(ksp, U);
    313: }
    314: PETSC_DEPRECATED_FUNCTION(3, 18, 0, "KSPHPDDMGetDeflationMat()", ) static inline PetscErrorCode KSPHPDDMGetDeflationSpace(KSP ksp, Mat *U)
    315: {
    316:   return KSPHPDDMGetDeflationMat(ksp, U);
    317: }
    318: #endif
    319: PETSC_DEPRECATED_FUNCTION(3, 14, 0, "KSPMatSolve()", ) static inline PetscErrorCode KSPHPDDMMatSolve(KSP ksp, Mat B, Mat X)
    320: {
    321:   return KSPMatSolve(ksp, B, X);
    322: }
    323: /*E
    324:     KSPHPDDMType - Type of Krylov method used by `KSPHPDDM`

    326:     Values:
    327: +   `KSP_HPDDM_TYPE_GMRES` (default) - Generalized Minimal Residual method
    328: .   `KSP_HPDDM_TYPE_BGMRES`          - block GMRES
    329: .   `KSP_HPDDM_TYPE_CG`              - Conjugate Gradient
    330: .   `KSP_HPDDM_TYPE_BCG`             - block CG
    331: .   `KSP_HPDDM_TYPE_GCRODR`          - Generalized Conjugate Residual method with inner Orthogonalization and Deflated Restarting
    332: .   `KSP_HPDDM_TYPE_BGCRODR`         - block GCRODR
    333: .   `KSP_HPDDM_TYPE_BFBCG`           - breakdown-free BCG
    334: -   `KSP_HPDDM_TYPE_PREONLY`         - apply the preconditioner only

    336:     Level: intermediate

    338: .seealso: [](ch_ksp), `KSPHPDDM`, `KSPHPDDMSetType()`
    339: E*/
    340: typedef enum {
    341:   KSP_HPDDM_TYPE_GMRES   = 0,
    342:   KSP_HPDDM_TYPE_BGMRES  = 1,
    343:   KSP_HPDDM_TYPE_CG      = 2,
    344:   KSP_HPDDM_TYPE_BCG     = 3,
    345:   KSP_HPDDM_TYPE_GCRODR  = 4,
    346:   KSP_HPDDM_TYPE_BGCRODR = 5,
    347:   KSP_HPDDM_TYPE_BFBCG   = 6,
    348:   KSP_HPDDM_TYPE_PREONLY = 7
    349: } KSPHPDDMType;
    350: PETSC_EXTERN const char *const KSPHPDDMTypes[];

    352: /*E
    353:     KSPHPDDMPrecision - Precision of Krylov bases used by `KSPHPDDM`

    355:     Values:
    356: +   `KSP_HPDDM_PRECISION_HALF`      - default when PETSc is configured `--with-precision=__fp16`
    357: .   `KSP_HPDDM_PRECISION_SINGLE`    - default when PETSc is configured `--with-precision=single`
    358: .   `KSP_HPDDM_PRECISION_DOUBLE`    - default when PETSc is configured `--with-precision=double`
    359: -   `KSP_HPDDM_PRECISION_QUADRUPLE` - default when PETSc is configured `--with-precision=__float128`

    361:     Level: intermediate

    363: .seealso: [](ch_ksp), `KSP`, `KSPHPDDM`
    364: E*/
    365: typedef enum {
    366:   KSP_HPDDM_PRECISION_HALF      = 0,
    367:   KSP_HPDDM_PRECISION_SINGLE    = 1,
    368:   KSP_HPDDM_PRECISION_DOUBLE    = 2,
    369:   KSP_HPDDM_PRECISION_QUADRUPLE = 3
    370: } KSPHPDDMPrecision;
    371: PETSC_EXTERN PetscErrorCode KSPHPDDMSetType(KSP, KSPHPDDMType);
    372: PETSC_EXTERN PetscErrorCode KSPHPDDMGetType(KSP, KSPHPDDMType *);

    374: /*E
    375:    KSPGMRESCGSRefinementType - How the classical (unmodified) Gram-Schmidt is performed in the GMRES solvers

    377:    Values:
    378: +  `KSP_GMRES_CGS_REFINE_NEVER`    - one step of classical Gram-Schmidt
    379: .  `KSP_GMRES_CGS_REFINE_IFNEEDED` - a second step is performed if the first step does not satisfy some criteria
    380: -  `KSP_GMRES_CGS_REFINE_ALWAYS`   - always perform two steps

    382:    Level: advanced

    384: .seealso: [](ch_ksp), `KSP`, `KSPGMRES`, `KSPGMRESClassicalGramSchmidtOrthogonalization()`, `KSPGMRESSetOrthogonalization()`,
    385:           `KSPGMRESGetOrthogonalization()`,
    386:           `KSPGMRESSetCGSRefinementType()`, `KSPGMRESGetCGSRefinementType()`, `KSPGMRESModifiedGramSchmidtOrthogonalization()`
    387: E*/
    388: typedef enum {
    389:   KSP_GMRES_CGS_REFINE_NEVER,
    390:   KSP_GMRES_CGS_REFINE_IFNEEDED,
    391:   KSP_GMRES_CGS_REFINE_ALWAYS
    392: } KSPGMRESCGSRefinementType;
    393: PETSC_EXTERN const char *const KSPGMRESCGSRefinementTypes[];

    395: /*MC
    396:    KSP_GMRES_CGS_REFINE_NEVER - Do the classical (unmodified) Gram-Schmidt process

    398:    Level: advanced

    400:    Note:
    401:    Possibly unstable, but the fastest to compute

    403: .seealso: [](ch_ksp), `KSPGMRES`, `KSPGMRESCGSRefinementType`, `KSPGMRESClassicalGramSchmidtOrthogonalization()`, `KSPGMRESSetOrthogonalization()`,
    404:           `KSP`, `KSPGMRESGetOrthogonalization()`,
    405:           `KSPGMRESSetCGSRefinementType()`, `KSPGMRESGetCGSRefinementType()`, `KSP_GMRES_CGS_REFINE_IFNEEDED`, `KSP_GMRES_CGS_REFINE_ALWAYS`,
    406:           `KSPGMRESModifiedGramSchmidtOrthogonalization()`
    407: M*/

    409: /*MC
    410:     KSP_GMRES_CGS_REFINE_IFNEEDED - Do the classical (unmodified) Gram-Schmidt process and one step of
    411:           iterative refinement if an estimate of the orthogonality of the resulting vectors indicates
    412:           poor orthogonality.

    414:    Level: advanced

    416:    Note:
    417:    This is slower than `KSP_GMRES_CGS_REFINE_NEVER` because it requires an extra norm computation to
    418:    estimate the orthogonality but is more stable.

    420: .seealso: [](ch_ksp), `KSPGMRES`, `KSPGMRESCGSRefinementType`, `KSPGMRESClassicalGramSchmidtOrthogonalization()`, `KSPGMRESSetOrthogonalization()`,
    421:           `KSP`, `KSPGMRESGetOrthogonalization()`,
    422:           `KSPGMRESSetCGSRefinementType()`, `KSPGMRESGetCGSRefinementType()`, `KSP_GMRES_CGS_REFINE_NEVER`, `KSP_GMRES_CGS_REFINE_ALWAYS`,
    423:           `KSPGMRESModifiedGramSchmidtOrthogonalization()`
    424: M*/

    426: /*MC
    427:    KSP_GMRES_CGS_REFINE_ALWAYS - Do two steps of the classical (unmodified) Gram-Schmidt process.

    429:    Level: advanced

    431:    Notes:
    432:    This is roughly twice the cost of `KSP_GMRES_CGS_REFINE_NEVER` because it performs the process twice
    433:    but it saves the extra norm calculation needed by `KSP_GMRES_CGS_REFINE_IFNEEDED`.

    435:    You should only use this if you absolutely know that the iterative refinement is needed.

    437: .seealso: [](ch_ksp), `KSPGMRES`, `KSPGMRESCGSRefinementType`, `KSPGMRESClassicalGramSchmidtOrthogonalization()`, `KSPGMRESSetOrthogonalization()`,
    438:           `KSP`, `KSPGMRESGetOrthogonalization()`,
    439:           `KSPGMRESSetCGSRefinementType()`, `KSPGMRESGetCGSRefinementType()`, `KSP_GMRES_CGS_REFINE_IFNEEDED`, `KSP_GMRES_CGS_REFINE_ALWAYS`,
    440:           `KSPGMRESModifiedGramSchmidtOrthogonalization()`
    441: M*/

    443: PETSC_EXTERN PetscErrorCode KSPGMRESSetCGSRefinementType(KSP, KSPGMRESCGSRefinementType);
    444: PETSC_EXTERN PetscErrorCode KSPGMRESGetCGSRefinementType(KSP, KSPGMRESCGSRefinementType *);

    446: PETSC_EXTERN PetscErrorCode KSPFGMRESModifyPCNoChange(KSP, PetscInt, PetscInt, PetscReal, void *);
    447: PETSC_EXTERN PetscErrorCode KSPFGMRESModifyPCKSP(KSP, PetscInt, PetscInt, PetscReal, void *);
    448: PETSC_EXTERN PetscErrorCode KSPFGMRESSetModifyPC(KSP, PetscErrorCode (*)(KSP, PetscInt, PetscInt, PetscReal, void *), void *, PetscErrorCode (*)(void *));

    450: PETSC_EXTERN PetscErrorCode KSPQCGSetTrustRegionRadius(KSP, PetscReal);
    451: PETSC_EXTERN PetscErrorCode KSPQCGGetQuadratic(KSP, PetscReal *);
    452: PETSC_EXTERN PetscErrorCode KSPQCGGetTrialStepNorm(KSP, PetscReal *);

    454: PETSC_EXTERN PetscErrorCode KSPBCGSLSetXRes(KSP, PetscReal);
    455: PETSC_EXTERN PetscErrorCode KSPBCGSLSetPol(KSP, PetscBool);
    456: PETSC_EXTERN PetscErrorCode KSPBCGSLSetEll(KSP, PetscInt);
    457: PETSC_EXTERN PetscErrorCode KSPBCGSLSetUsePseudoinverse(KSP, PetscBool);

    459: PETSC_EXTERN PetscErrorCode KSPSetFromOptions(KSP);
    460: PETSC_EXTERN PetscErrorCode KSPResetFromOptions(KSP);

    462: PETSC_EXTERN PetscErrorCode KSPMonitorSetFromOptions(KSP, const char[], const char[], void *);
    463: PETSC_EXTERN PetscErrorCode KSPMonitorResidual(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    464: PETSC_EXTERN PetscErrorCode KSPMonitorResidualDraw(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    465: PETSC_EXTERN PetscErrorCode KSPMonitorResidualDrawLG(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    466: PETSC_EXTERN PetscErrorCode KSPMonitorResidualDrawLGCreate(PetscViewer, PetscViewerFormat, void *, PetscViewerAndFormat **);
    467: PETSC_EXTERN PetscErrorCode KSPMonitorResidualShort(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    468: PETSC_EXTERN PetscErrorCode KSPMonitorResidualRange(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    469: PETSC_EXTERN PetscErrorCode KSPMonitorTrueResidual(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    470: PETSC_EXTERN PetscErrorCode KSPMonitorTrueResidualDraw(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    471: PETSC_EXTERN PetscErrorCode KSPMonitorTrueResidualDrawLG(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    472: PETSC_EXTERN PetscErrorCode KSPMonitorTrueResidualDrawLGCreate(PetscViewer, PetscViewerFormat, void *, PetscViewerAndFormat **);
    473: PETSC_EXTERN PetscErrorCode KSPMonitorTrueResidualMax(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    474: PETSC_EXTERN PetscErrorCode KSPMonitorError(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    475: PETSC_EXTERN PetscErrorCode KSPMonitorErrorDraw(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    476: PETSC_EXTERN PetscErrorCode KSPMonitorErrorDrawLG(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    477: PETSC_EXTERN PetscErrorCode KSPMonitorErrorDrawLGCreate(PetscViewer, PetscViewerFormat, void *, PetscViewerAndFormat **);
    478: PETSC_EXTERN PetscErrorCode KSPMonitorSolution(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    479: PETSC_EXTERN PetscErrorCode KSPMonitorSolutionDraw(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    480: PETSC_EXTERN PetscErrorCode KSPMonitorSolutionDrawLG(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    481: PETSC_EXTERN PetscErrorCode KSPMonitorSolutionDrawLGCreate(PetscViewer, PetscViewerFormat, void *, PetscViewerAndFormat **);
    482: PETSC_EXTERN PetscErrorCode KSPMonitorSingularValue(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    483: PETSC_EXTERN PetscErrorCode KSPMonitorSingularValueCreate(PetscViewer, PetscViewerFormat, void *, PetscViewerAndFormat **);
    484: PETSC_DEPRECATED_FUNCTION(3, 15, 0, "KSPMonitorResidual()", ) static inline PetscErrorCode KSPMonitorDefault(KSP ksp, PetscInt n, PetscReal rnorm, PetscViewerAndFormat *vf)
    485: {
    486:   return KSPMonitorResidual(ksp, n, rnorm, vf);
    487: }
    488: PETSC_DEPRECATED_FUNCTION(3, 15, 0, "KSPMonitorTrueResidual()", ) static inline PetscErrorCode KSPMonitorTrueResidualNorm(KSP ksp, PetscInt n, PetscReal rnorm, PetscViewerAndFormat *vf)
    489: {
    490:   return KSPMonitorTrueResidual(ksp, n, rnorm, vf);
    491: }
    492: PETSC_DEPRECATED_FUNCTION(3, 15, 0, "KSPMonitorTrueResidualMax()", ) static inline PetscErrorCode KSPMonitorTrueResidualMaxNorm(KSP ksp, PetscInt n, PetscReal rnorm, PetscViewerAndFormat *vf)
    493: {
    494:   return KSPMonitorTrueResidualMax(ksp, n, rnorm, vf);
    495: }

    497: PETSC_EXTERN PetscErrorCode KSPGMRESMonitorKrylov(KSP, PetscInt, PetscReal, void *);
    498: PETSC_EXTERN PetscErrorCode KSPMonitorDynamicTolerance(KSP, PetscInt, PetscReal, void *);
    499: PETSC_EXTERN PetscErrorCode KSPMonitorDynamicToleranceDestroy(void **);
    500: PETSC_EXTERN PetscErrorCode KSPMonitorDynamicToleranceCreate(void *);
    501: PETSC_EXTERN PetscErrorCode KSPMonitorDynamicToleranceSetCoefficient(void *, PetscReal);
    502: PETSC_EXTERN PetscErrorCode KSPMonitorSAWs(KSP, PetscInt, PetscReal, void *);
    503: PETSC_EXTERN PetscErrorCode KSPMonitorSAWsCreate(KSP, void **);
    504: PETSC_EXTERN PetscErrorCode KSPMonitorSAWsDestroy(void **);

    506: PETSC_EXTERN PetscErrorCode KSPUnwindPreconditioner(KSP, Vec, Vec);
    507: PETSC_EXTERN PetscErrorCode KSPInitialResidual(KSP, Vec, Vec, Vec, Vec, Vec);

    509: PETSC_EXTERN PetscErrorCode KSPSetOperators(KSP, Mat, Mat);
    510: PETSC_EXTERN PetscErrorCode KSPGetOperators(KSP, Mat *, Mat *);
    511: PETSC_EXTERN PetscErrorCode KSPGetOperatorsSet(KSP, PetscBool *, PetscBool *);
    512: PETSC_EXTERN PetscErrorCode KSPSetOptionsPrefix(KSP, const char[]);
    513: PETSC_EXTERN PetscErrorCode KSPAppendOptionsPrefix(KSP, const char[]);
    514: PETSC_EXTERN PetscErrorCode KSPGetOptionsPrefix(KSP, const char *[]);

    516: PETSC_EXTERN PetscErrorCode KSPSetDiagonalScale(KSP, PetscBool);
    517: PETSC_EXTERN PetscErrorCode KSPGetDiagonalScale(KSP, PetscBool *);
    518: PETSC_EXTERN PetscErrorCode KSPSetDiagonalScaleFix(KSP, PetscBool);
    519: PETSC_EXTERN PetscErrorCode KSPGetDiagonalScaleFix(KSP, PetscBool *);

    521: PETSC_EXTERN PetscErrorCode KSPView(KSP, PetscViewer);
    522: PETSC_EXTERN PetscErrorCode KSPLoad(KSP, PetscViewer);
    523: PETSC_EXTERN PetscErrorCode KSPViewFromOptions(KSP, PetscObject, const char[]);
    524: PETSC_EXTERN PetscErrorCode KSPConvergedReasonView(KSP, PetscViewer);
    525: PETSC_EXTERN PetscErrorCode KSPConvergedReasonViewSet(KSP, PetscErrorCode (*)(KSP, void *), void *, PetscCtxDestroyFn *);
    526: PETSC_EXTERN PetscErrorCode KSPConvergedReasonViewFromOptions(KSP);
    527: PETSC_EXTERN PetscErrorCode KSPConvergedReasonViewCancel(KSP);
    528: PETSC_EXTERN PetscErrorCode KSPConvergedRateView(KSP, PetscViewer);

    530: PETSC_DEPRECATED_FUNCTION(3, 14, 0, "KSPConvergedReasonView()", ) static inline PetscErrorCode KSPReasonView(KSP ksp, PetscViewer v)
    531: {
    532:   return KSPConvergedReasonView(ksp, v);
    533: }
    534: PETSC_DEPRECATED_FUNCTION(3, 14, 0, "KSPConvergedReasonViewFromOptions()", ) static inline PetscErrorCode KSPReasonViewFromOptions(KSP ksp)
    535: {
    536:   return KSPConvergedReasonViewFromOptions(ksp);
    537: }

    539: #define KSP_FILE_CLASSID 1211223

    541: PETSC_EXTERN PetscErrorCode KSPLSQRSetExactMatNorm(KSP, PetscBool);
    542: PETSC_EXTERN PetscErrorCode KSPLSQRSetComputeStandardErrorVec(KSP, PetscBool);
    543: PETSC_EXTERN PetscErrorCode KSPLSQRGetStandardErrorVec(KSP, Vec *);
    544: PETSC_EXTERN PetscErrorCode KSPLSQRGetNorms(KSP, PetscReal *, PetscReal *);
    545: PETSC_EXTERN PetscErrorCode KSPLSQRMonitorResidual(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    546: PETSC_EXTERN PetscErrorCode KSPLSQRMonitorResidualDrawLG(KSP, PetscInt, PetscReal, PetscViewerAndFormat *);
    547: PETSC_EXTERN PetscErrorCode KSPLSQRMonitorResidualDrawLGCreate(PetscViewer, PetscViewerFormat, void *, PetscViewerAndFormat **);

    549: PETSC_EXTERN PetscErrorCode PCRedundantGetKSP(PC, KSP *);
    550: PETSC_EXTERN PetscErrorCode PCRedistributeGetKSP(PC, KSP *);
    551: PETSC_EXTERN PetscErrorCode PCTelescopeGetKSP(PC, KSP *);
    552: PETSC_EXTERN PetscErrorCode PCMPIGetKSP(PC, KSP *);

    554: /*E
    555:    KSPNormType - Norm calculated by the `KSP` and passed in the Krylov convergence
    556:        test routines.

    558:    Values:
    559: +  `KSP_NORM_DEFAULT`          - use the default for the current `KSPType`
    560: .  `KSP_NORM_NONE`             - use no norm calculation
    561: .  `KSP_NORM_PRECONDITIONED`   - use the preconditioned residual norm
    562: .  `KSP_NORM_UNPRECONDITIONED` - use the unpreconditioned residual norm
    563: -  `KSP_NORM_NATURAL`          - use the natural norm (the norm induced by the linear operator)

    565:    Level: advanced

    567:    Note:
    568:    Each solver only supports a subset of these and some may support different ones
    569:    depending on whether left or right preconditioning is used, see `KSPSetPCSide()`

    571: .seealso: [](ch_ksp), `KSP`, `PCSide`, `KSPSolve()`, `KSPGetConvergedReason()`, `KSPSetNormType()`,
    572:           `KSPSetConvergenceTest()`, `KSPSetPCSide()`, `KSP_NORM_DEFAULT`, `KSP_NORM_NONE`, `KSP_NORM_PRECONDITIONED`, `KSP_NORM_UNPRECONDITIONED`, `KSP_NORM_NATURAL`
    573: E*/
    574: typedef enum {
    575:   KSP_NORM_DEFAULT          = -1,
    576:   KSP_NORM_NONE             = 0,
    577:   KSP_NORM_PRECONDITIONED   = 1,
    578:   KSP_NORM_UNPRECONDITIONED = 2,
    579:   KSP_NORM_NATURAL          = 3
    580: } KSPNormType;
    581: #define KSP_NORM_MAX (KSP_NORM_NATURAL + 1)
    582: PETSC_EXTERN const char *const *const KSPNormTypes;

    584: /*MC
    585:    KSP_NORM_NONE - Do not compute a norm during the Krylov process. This will
    586:    possibly save some computation but means the convergence test cannot
    587:    be based on a norm of a residual etc.

    589:    Level: advanced

    591:    Note:
    592:    Some Krylov methods need to compute a residual norm (such as `KPSGMRES`) and then this option is ignored

    594: .seealso: [](ch_ksp), `KSPNormType`, `KSP`, `KSPSetNormType()`, `KSP_NORM_PRECONDITIONED`, `KSP_NORM_UNPRECONDITIONED`, `KSP_NORM_NATURAL`
    595: M*/

    597: /*MC
    598:    KSP_NORM_PRECONDITIONED - Compute the norm of the preconditioned residual B*(b - A*x), if left preconditioning, and pass that to the
    599:    convergence test routine.

    601:    Level: advanced

    603: .seealso: [](ch_ksp), `KSPNormType`, `KSP`, `KSPSetNormType()`, `KSP_NORM_NONE`, `KSP_NORM_UNPRECONDITIONED`, `KSP_NORM_NATURAL`, `KSPSetConvergenceTest()`
    604: M*/

    606: /*MC
    607:    KSP_NORM_UNPRECONDITIONED - Compute the norm of the true residual (b - A*x) and pass that to the
    608:    convergence test routine.

    610:    Level: advanced

    612: .seealso: [](ch_ksp), `KSPNormType`, `KSP`, `KSPSetNormType()`, `KSP_NORM_NONE`, `KSP_NORM_PRECONDITIONED`, `KSP_NORM_NATURAL`, `KSPSetConvergenceTest()`
    613: M*/

    615: /*MC
    616:    KSP_NORM_NATURAL - Compute the 'natural norm' of residual sqrt((b - A*x)*B*(b - A*x)) and pass that to the
    617:    convergence test routine. This is only supported by  `KSPCG`, `KSPCR`, `KSPCGNE`, `KSPCGS`, `KSPFCG`, `KSPPIPEFCG`, `KSPPIPEGCR`

    619:    Level: advanced

    621: .seealso: [](ch_ksp), `KSPNormType`, `KSP`, `KSPSetNormType()`, `KSP_NORM_NONE`, `KSP_NORM_PRECONDITIONED`, `KSP_NORM_UNPRECONDITIONED`, `KSPSetConvergenceTest()`
    622: M*/

    624: PETSC_EXTERN PetscErrorCode KSPSetNormType(KSP, KSPNormType);
    625: PETSC_EXTERN PetscErrorCode KSPGetNormType(KSP, KSPNormType *);
    626: PETSC_EXTERN PetscErrorCode KSPSetSupportedNorm(KSP, KSPNormType, PCSide, PetscInt);
    627: PETSC_EXTERN PetscErrorCode KSPSetCheckNormIteration(KSP, PetscInt);
    628: PETSC_EXTERN PetscErrorCode KSPSetLagNorm(KSP, PetscBool);

    630: #define KSP_CONVERGED_CG_NEG_CURVE_DEPRECATED   KSP_CONVERGED_CG_NEG_CURVE PETSC_DEPRECATED_ENUM(3, 19, 0, "KSP_CONVERGED_NEG_CURVE", )
    631: #define KSP_CONVERGED_CG_CONSTRAINED_DEPRECATED KSP_CONVERGED_CG_CONSTRAINED PETSC_DEPRECATED_ENUM(3, 19, 0, "KSP_CONVERGED_STEP_LENGTH", )
    632: #define KSP_DIVERGED_PCSETUP_FAILED_DEPRECATED  KSP_DIVERGED_PCSETUP_FAILED PETSC_DEPRECATED_ENUM(3, 11, 0, "KSP_DIVERGED_PC_FAILED", )
    633: /*E
    634:    KSPConvergedReason - reason a Krylov method was determined to have converged or diverged

    636:    Values:
    637: +  `KSP_CONVERGED_RTOL_NORMAL`     - requested decrease in the residual for the normal equations
    638: .  `KSP_CONVERGED_ATOL_NORMAL`     - requested absolute value in the residual for the normal equations
    639: .  `KSP_CONVERGED_RTOL`            - requested decrease in the residual
    640: .  `KSP_CONVERGED_ATOL`            - requested absolute value in the residual
    641: .  `KSP_CONVERGED_ITS`             - requested number of iterations
    642: .  `KSP_CONVERGED_NEG_CURVE`       - see note below
    643: .  `KSP_CONVERGED_STEP_LENGTH`     - see note below
    644: .  `KSP_CONVERGED_HAPPY_BREAKDOWN` - happy breakdown (meaning early convergence of the `KSPType` occurred).
    645: .  `KSP_DIVERGED_NULL`             - breakdown when solving the Hessenberg system within GMRES
    646: .  `KSP_DIVERGED_ITS`              - requested number of iterations
    647: .  `KSP_DIVERGED_DTOL`             - large increase in the residual norm
    648: .  `KSP_DIVERGED_BREAKDOWN`        - breakdown in the Krylov method
    649: .  `KSP_DIVERGED_BREAKDOWN_BICG`   - breakdown in the `KSPBCGS` Krylov method
    650: .  `KSP_DIVERGED_NONSYMMETRIC`     - the operator or preonditioner was not symmetric for a `KSPType` that requires symmetry
    651: .  `KSP_DIVERGED_INDEFINITE_PC`    - the preconditioner was indefinite for a `KSPType` that requires it be definite
    652: .  `KSP_DIVERGED_NANORINF`         - a not a number of infinity was detected in a vector during the computation
    653: .  `KSP_DIVERGED_INDEFINITE_MAT`   - the operator was indefinite for a `KSPType` that requires it be definite
    654: -  `KSP_DIVERGED_PC_FAILED`        - the action of the preconditioner failed for some reason

    656:    Level: beginner

    658:    Note:
    659:    The values `KSP_CONVERGED_NEG_CURVE`, and `KSP_CONVERGED_STEP_LENGTH` are returned only by `KSPCG`, `KSPMINRES` and by
    660:    the special `KSPNASH`, `KSPSTCG`, and `KSPGLTR` solvers which are used by the `SNESNEWTONTR` (trust region) solver.

    662:    Developer Note:
    663:    The string versions of these are `KSPConvergedReasons`; if you change
    664:    any of the values here also change them that array of names.

    666: .seealso: [](ch_ksp), `KSP`, `KSPSolve()`, `KSPGetConvergedReason()`, `KSPSetTolerances()`, `KSPConvergedReasonView()`
    667: E*/
    668: typedef enum { /* converged */
    669:   KSP_CONVERGED_RTOL_NORMAL               = 1,
    670:   KSP_CONVERGED_ATOL_NORMAL               = 9,
    671:   KSP_CONVERGED_RTOL                      = 2,
    672:   KSP_CONVERGED_ATOL                      = 3,
    673:   KSP_CONVERGED_ITS                       = 4,
    674:   KSP_CONVERGED_NEG_CURVE                 = 5,
    675:   KSP_CONVERGED_CG_NEG_CURVE_DEPRECATED   = 5,
    676:   KSP_CONVERGED_CG_CONSTRAINED_DEPRECATED = 6,
    677:   KSP_CONVERGED_STEP_LENGTH               = 6,
    678:   KSP_CONVERGED_HAPPY_BREAKDOWN           = 7,
    679:   /* diverged */
    680:   KSP_DIVERGED_NULL                      = -2,
    681:   KSP_DIVERGED_ITS                       = -3,
    682:   KSP_DIVERGED_DTOL                      = -4,
    683:   KSP_DIVERGED_BREAKDOWN                 = -5,
    684:   KSP_DIVERGED_BREAKDOWN_BICG            = -6,
    685:   KSP_DIVERGED_NONSYMMETRIC              = -7,
    686:   KSP_DIVERGED_INDEFINITE_PC             = -8,
    687:   KSP_DIVERGED_NANORINF                  = -9,
    688:   KSP_DIVERGED_INDEFINITE_MAT            = -10,
    689:   KSP_DIVERGED_PC_FAILED                 = -11,
    690:   KSP_DIVERGED_PCSETUP_FAILED_DEPRECATED = -11,

    692:   KSP_CONVERGED_ITERATING = 0
    693: } KSPConvergedReason;
    694: PETSC_EXTERN const char *const *KSPConvergedReasons;

    696: /*MC
    697:    KSP_CONVERGED_RTOL - $||r|| \le rtol*||b||$ or $rtol*||b - A*x_0||$ if `KSPConvergedDefaultSetUIRNorm()` was called

    699:    Level: beginner

    701:    Notes:
    702:    See `KSPNormType` and `KSPSetNormType()` for possible norms that may be used. By default
    703:    for left preconditioning it is the 2-norm of the preconditioned residual, and the
    704:    2-norm of the residual for right preconditioning

    706:    See also `KSP_CONVERGED_ATOL` which may apply before this tolerance.

    708: .seealso: [](ch_ksp), `KSPNormType`, `KSP_CONVERGED_ATOL`, `KSP_DIVERGED_DTOL`, `KSPSolve()`, `KSPGetConvergedReason()`, `KSPConvergedReason`, `KSPSetTolerances()`
    709: M*/

    711: /*MC
    712:    KSP_CONVERGED_ATOL - $||r|| \le atol$

    714:    Level: beginner

    716:    Notes:
    717:    See `KSPNormType` and `KSPSetNormType()` for possible norms that may be used. By default
    718:    for left preconditioning it is the 2-norm of the preconditioned residual, and the
    719:    2-norm of the residual for right preconditioning

    721:    See also `KSP_CONVERGED_RTOL` which may apply before this tolerance.

    723: .seealso: [](ch_ksp), `KSPNormType`, `KSP_CONVERGED_RTOL`, `KSP_DIVERGED_DTOL`, `KSPSolve()`, `KSPGetConvergedReason()`, `KSPConvergedReason`, `KSPSetTolerances()`
    724: M*/

    726: /*MC
    727:    KSP_DIVERGED_DTOL - $||r|| \ge dtol*||b||$

    729:    Level: beginner

    731:    Note:
    732:    See `KSPNormType` and `KSPSetNormType()` for possible norms that may be used. By default
    733:    for left preconditioning it is the 2-norm of the preconditioned residual, and the
    734:    2-norm of the residual for right preconditioning

    736: .seealso: [](ch_ksp), `KSPNormType`, `KSP_CONVERGED_ATOL`, `KSP_CONVERGED_RTOL`, `KSPSolve()`, `KSPGetConvergedReason()`, `KSPConvergedReason`, `KSPSetTolerances()`
    737: M*/

    739: /*MC
    740:    KSP_DIVERGED_ITS - Ran out of iterations before any convergence criteria was
    741:    reached

    743:    Level: beginner

    745: .seealso: [](ch_ksp), `KSPSolve()`, `KSPGetConvergedReason()`, `KSPConvergedReason`, `KSPSetTolerances()`
    746: M*/

    748: /*MC
    749:    KSP_CONVERGED_ITS - Used by the `KSPPREONLY` solver after the single iteration of
    750:    the preconditioner is applied. Also used when the `KSPConvergedSkip()` convergence
    751:    test routine is set in `KSP`.

    753:    Level: beginner

    755: .seealso: [](ch_ksp), `KSPSolve()`, `KSPGetConvergedReason()`, `KSPConvergedReason`, `KSPSetTolerances()`
    756: M*/

    758: /*MC
    759:    KSP_DIVERGED_BREAKDOWN - A breakdown in the Krylov method was detected so the
    760:    method could not continue to enlarge the Krylov space. Could be due to a singular matrix or
    761:    preconditioner. In `KSPHPDDM`, this is also returned when some search directions within a block
    762:    are colinear.

    764:    Level: beginner

    766: .seealso: [](ch_ksp), `KSPSolve()`, `KSPGetConvergedReason()`, `KSPConvergedReason`, `KSPSetTolerances()`
    767: M*/

    769: /*MC
    770:    KSP_DIVERGED_BREAKDOWN_BICG - A breakdown in the `KSPBICG` method was detected so the
    771:    method could not continue to enlarge the Krylov space.

    773:    Level: beginner

    775: .seealso: [](ch_ksp), `KSPSolve()`, `KSPGetConvergedReason()`, `KSPConvergedReason`, `KSPSetTolerances()`
    776: M*/

    778: /*MC
    779:    KSP_DIVERGED_NONSYMMETRIC - It appears the operator or preconditioner is not
    780:    symmetric and this Krylov method (`KSPCG`, `KSPMINRES`, `KSPCR`) requires symmetry

    782:    Level: beginner

    784: .seealso: [](ch_ksp), `KSPSolve()`, `KSPGetConvergedReason()`, `KSPConvergedReason`, `KSPSetTolerances()`
    785: M*/

    787: /*MC
    788:    KSP_DIVERGED_INDEFINITE_PC - It appears the preconditioner is indefinite (has both
    789:    positive and negative eigenvalues) and this Krylov method (`KSPCG`) requires it to
    790:    be symmetric positive definite (SPD).

    792:    Level: beginner

    794:    Note:
    795:    This can happen with the `PCICC` preconditioner, use the options database option `-pc_factor_shift_positive_definite` to force
    796:    the `PCICC` preconditioner to generate a positive definite preconditioner

    798: .seealso: [](ch_ksp), `KSPSolve()`, `KSPGetConvergedReason()`, `KSPConvergedReason`, `KSPSetTolerances()`
    799: M*/

    801: /*MC
    802:    KSP_DIVERGED_PC_FAILED - It was not possible to build or use the requested preconditioner. This is usually due to a
    803:    zero pivot in a factorization. It can also result from a failure in a subpreconditioner inside a nested preconditioner
    804:    such as `PCFIELDSPLIT`.

    806:    Level: beginner

    808:    Note:
    809:    Run with `-ksp_error_if_not_converged` to stop the program when the error is detected and print an error message with details.

    811: .seealso: [](ch_ksp), `KSPSolve()`, `KSPGetConvergedReason()`, `KSPConvergedReason`, `KSPSetTolerances()`
    812: M*/

    814: /*MC
    815:    KSP_CONVERGED_ITERATING - This flag is returned if `KSPGetConvergedReason()` is called
    816:    while `KSPSolve()` is still running.

    818:    Level: beginner

    820: .seealso: [](ch_ksp), `KSPSolve()`, `KSPGetConvergedReason()`, `KSPConvergedReason`, `KSPSetTolerances()`
    821: M*/

    823: PETSC_EXTERN PetscErrorCode KSPSetConvergenceTest(KSP, PetscErrorCode (*)(KSP, PetscInt, PetscReal, KSPConvergedReason *, void *), void *, PetscErrorCode (*)(void *));
    824: PETSC_EXTERN PetscErrorCode KSPGetConvergenceTest(KSP, PetscErrorCode (**)(KSP, PetscInt, PetscReal, KSPConvergedReason *, void *), void **, PetscErrorCode (**)(void *));
    825: PETSC_EXTERN PetscErrorCode KSPGetAndClearConvergenceTest(KSP, PetscErrorCode (**)(KSP, PetscInt, PetscReal, KSPConvergedReason *, void *), void **, PetscErrorCode (**)(void *));
    826: PETSC_EXTERN PetscErrorCode KSPGetConvergenceContext(KSP, void *);
    827: PETSC_EXTERN PetscErrorCode KSPConvergedDefault(KSP, PetscInt, PetscReal, KSPConvergedReason *, void *);
    828: PETSC_EXTERN PetscErrorCode KSPLSQRConvergedDefault(KSP, PetscInt, PetscReal, KSPConvergedReason *, void *);
    829: PETSC_EXTERN PetscErrorCode KSPConvergedDefaultDestroy(void *);
    830: PETSC_EXTERN PetscErrorCode KSPConvergedDefaultCreate(void **);
    831: PETSC_EXTERN PetscErrorCode KSPConvergedDefaultSetUIRNorm(KSP);
    832: PETSC_EXTERN PetscErrorCode KSPConvergedDefaultSetUMIRNorm(KSP);
    833: PETSC_EXTERN PetscErrorCode KSPConvergedDefaultSetConvergedMaxits(KSP, PetscBool);
    834: PETSC_EXTERN PetscErrorCode KSPConvergedSkip(KSP, PetscInt, PetscReal, KSPConvergedReason *, void *);
    835: PETSC_EXTERN PetscErrorCode KSPGetConvergedReason(KSP, KSPConvergedReason *);
    836: PETSC_EXTERN PetscErrorCode KSPGetConvergedReasonString(KSP, const char **);
    837: PETSC_EXTERN PetscErrorCode KSPComputeConvergenceRate(KSP, PetscReal *, PetscReal *, PetscReal *, PetscReal *);
    838: PETSC_EXTERN PetscErrorCode KSPSetConvergedNegativeCurvature(KSP, PetscBool);
    839: PETSC_EXTERN PetscErrorCode KSPGetConvergedNegativeCurvature(KSP, PetscBool *);

    841: PETSC_DEPRECATED_FUNCTION(3, 5, 0, "KSPConvergedDefault()", ) static inline void KSPDefaultConverged(void)
    842: { /* never called */
    843: }
    844: #define KSPDefaultConverged (KSPDefaultConverged, KSPConvergedDefault)
    845: PETSC_DEPRECATED_FUNCTION(3, 5, 0, "KSPConvergedDefaultDestroy()", ) static inline void KSPDefaultConvergedDestroy(void)
    846: { /* never called */
    847: }
    848: #define KSPDefaultConvergedDestroy (KSPDefaultConvergedDestroy, KSPConvergedDefaultDestroy)
    849: PETSC_DEPRECATED_FUNCTION(3, 5, 0, "KSPConvergedDefaultCreate()", ) static inline void KSPDefaultConvergedCreate(void)
    850: { /* never called */
    851: }
    852: #define KSPDefaultConvergedCreate (KSPDefaultConvergedCreate, KSPConvergedDefaultCreate)
    853: PETSC_DEPRECATED_FUNCTION(3, 5, 0, "KSPConvergedDefaultSetUIRNorm()", ) static inline void KSPDefaultConvergedSetUIRNorm(void)
    854: { /* never called */
    855: }
    856: #define KSPDefaultConvergedSetUIRNorm (KSPDefaultConvergedSetUIRNorm, KSPConvergedDefaultSetUIRNorm)
    857: PETSC_DEPRECATED_FUNCTION(3, 5, 0, "KSPConvergedDefaultSetUMIRNorm()", ) static inline void KSPDefaultConvergedSetUMIRNorm(void)
    858: { /* never called */
    859: }
    860: #define KSPDefaultConvergedSetUMIRNorm (KSPDefaultConvergedSetUMIRNorm, KSPConvergedDefaultSetUMIRNorm)
    861: PETSC_DEPRECATED_FUNCTION(3, 5, 0, "KSPConvergedSkip()", ) static inline void KSPSkipConverged(void)
    862: { /* never called */
    863: }
    864: #define KSPSkipConverged (KSPSkipConverged, KSPConvergedSkip)

    866: PETSC_EXTERN PetscErrorCode KSPComputeOperator(KSP, MatType, Mat *);
    867: PETSC_DEPRECATED_FUNCTION(3, 12, 0, "KSPComputeOperator()", ) static inline PetscErrorCode KSPComputeExplicitOperator(KSP A, Mat *B)
    868: {
    869:   return KSPComputeOperator(A, PETSC_NULLPTR, B);
    870: }

    872: /*E
    873:    KSPCGType - Determines what type of `KSPCG` to use

    875:    Values:
    876:  + `KSP_CG_SYMMETRIC` - the matrix is complex symmetric
    877:  - `KSP_CG_HERMITIAN` - the matrix is complex Hermitian

    879:    Level: beginner

    881: .seealso: [](ch_ksp), `KSPCG`, `KSP`, `KSPCGSetType()`
    882: E*/
    883: typedef enum {
    884:   KSP_CG_SYMMETRIC = 0,
    885:   KSP_CG_HERMITIAN = 1
    886: } KSPCGType;
    887: PETSC_EXTERN const char *const KSPCGTypes[];

    889: PETSC_EXTERN PetscErrorCode KSPCGSetType(KSP, KSPCGType);
    890: PETSC_EXTERN PetscErrorCode KSPCGUseSingleReduction(KSP, PetscBool);

    892: PETSC_EXTERN PetscErrorCode KSPCGSetRadius(KSP, PetscReal);
    893: PETSC_EXTERN PetscErrorCode KSPCGSetObjectiveTarget(KSP, PetscReal);
    894: PETSC_EXTERN PetscErrorCode KSPCGGetNormD(KSP, PetscReal *);
    895: PETSC_EXTERN PetscErrorCode KSPCGGetObjFcn(KSP, PetscReal *);

    897: PETSC_EXTERN PetscErrorCode KSPGLTRGetMinEig(KSP, PetscReal *);
    898: PETSC_EXTERN PetscErrorCode KSPGLTRGetLambda(KSP, PetscReal *);
    899: PETSC_DEPRECATED_FUNCTION(3, 12, 0, "KSPGLTRGetMinEig()", ) static inline PetscErrorCode KSPCGGLTRGetMinEig(KSP ksp, PetscReal *x)
    900: {
    901:   return KSPGLTRGetMinEig(ksp, x);
    902: }
    903: PETSC_DEPRECATED_FUNCTION(3, 12, 0, "KSPGLTRGetLambda()", ) static inline PetscErrorCode KSPCGGLTRGetLambda(KSP ksp, PetscReal *x)
    904: {
    905:   return KSPGLTRGetLambda(ksp, x);
    906: }

    908: PETSC_EXTERN PetscErrorCode KSPPythonSetType(KSP, const char[]);
    909: PETSC_EXTERN PetscErrorCode KSPPythonGetType(KSP, const char *[]);

    911: PETSC_EXTERN PetscErrorCode PCSetPreSolve(PC, PetscErrorCode (*)(PC, KSP));
    912: PETSC_EXTERN PetscErrorCode PCPreSolve(PC, KSP);
    913: PETSC_EXTERN PetscErrorCode PCPostSolve(PC, KSP);

    915: PETSC_EXTERN PetscErrorCode KSPMonitorLGRange(KSP, PetscInt, PetscReal, void *);

    917: PETSC_EXTERN PetscErrorCode PCShellSetPreSolve(PC, PetscErrorCode (*)(PC, KSP, Vec, Vec));
    918: PETSC_EXTERN PetscErrorCode PCShellSetPostSolve(PC, PetscErrorCode (*)(PC, KSP, Vec, Vec));

    920: /*S
    921:    KSPGuess - Abstract PETSc object that manages all initial guess generation methods for Krylov methods.

    923:    Level: intermediate

    925:    Note:
    926:    These methods generate initial guesses based on a series of previous, related, linear solves. For example,
    927:    in implicit time-stepping with `TS`.

    929: .seealso: [](ch_ksp), `KSPCreate()`, `KSPGuessSetType()`, `KSPGuessType`
    930: S*/
    931: typedef struct _p_KSPGuess *KSPGuess;

    933: /*J
    934:    KSPGuessType - String with the name of a PETSc initial guess approach for Krylov methods.

    936:    Values:
    937:  + `KSPGUESSFISCHER` - methodology developed by Paul Fischer
    938:  - `KSPGUESSPOD`     - methodology based on proper orthogonal decomposition (POD)

    940:    Level: intermediate

    942: .seealso: [](ch_ksp), `KSP`, `KSPGuess`
    943: J*/
    944: typedef const char *KSPGuessType;
    945: #define KSPGUESSFISCHER "fischer"
    946: #define KSPGUESSPOD     "pod"

    948: PETSC_EXTERN PetscErrorCode KSPGuessRegister(const char[], PetscErrorCode (*)(KSPGuess));
    949: PETSC_EXTERN PetscErrorCode KSPSetGuess(KSP, KSPGuess);
    950: PETSC_EXTERN PetscErrorCode KSPGetGuess(KSP, KSPGuess *);
    951: PETSC_EXTERN PetscErrorCode KSPGuessView(KSPGuess, PetscViewer);
    952: PETSC_EXTERN PetscErrorCode KSPGuessDestroy(KSPGuess *);
    953: PETSC_EXTERN PetscErrorCode KSPGuessCreate(MPI_Comm, KSPGuess *);
    954: PETSC_EXTERN PetscErrorCode KSPGuessSetType(KSPGuess, KSPGuessType);
    955: PETSC_EXTERN PetscErrorCode KSPGuessGetType(KSPGuess, KSPGuessType *);
    956: PETSC_EXTERN PetscErrorCode KSPGuessSetTolerance(KSPGuess, PetscReal);
    957: PETSC_EXTERN PetscErrorCode KSPGuessSetUp(KSPGuess);
    958: PETSC_EXTERN PetscErrorCode KSPGuessUpdate(KSPGuess, Vec, Vec);
    959: PETSC_EXTERN PetscErrorCode KSPGuessFormGuess(KSPGuess, Vec, Vec);
    960: PETSC_EXTERN PetscErrorCode KSPGuessSetFromOptions(KSPGuess);
    961: PETSC_EXTERN PetscErrorCode KSPGuessFischerSetModel(KSPGuess, PetscInt, PetscInt);
    962: PETSC_EXTERN PetscErrorCode KSPSetUseFischerGuess(KSP, PetscInt, PetscInt);
    963: PETSC_EXTERN PetscErrorCode KSPSetInitialGuessKnoll(KSP, PetscBool);
    964: PETSC_EXTERN PetscErrorCode KSPGetInitialGuessKnoll(KSP, PetscBool *);

    966: /*E
    967:     MatSchurComplementAinvType - Determines how to approximate the inverse of the (0,0) block in Schur complement preconditioning matrix assembly routines

    969:     Level: intermediate

    971: .seealso: `MatSchurComplementGetAinvType()`, `MatSchurComplementSetAinvType()`, `MatSchurComplementGetPmat()`, `MatGetSchurComplement()`,
    972:           `MatCreateSchurComplementPmat()`, `MatCreateSchurComplement()`
    973: E*/
    974: typedef enum {
    975:   MAT_SCHUR_COMPLEMENT_AINV_DIAG,
    976:   MAT_SCHUR_COMPLEMENT_AINV_LUMP,
    977:   MAT_SCHUR_COMPLEMENT_AINV_BLOCK_DIAG,
    978:   MAT_SCHUR_COMPLEMENT_AINV_FULL
    979: } MatSchurComplementAinvType;
    980: PETSC_EXTERN const char *const MatSchurComplementAinvTypes[];

    982: PETSC_EXTERN PetscErrorCode MatCreateSchurComplement(Mat, Mat, Mat, Mat, Mat, Mat *);
    983: PETSC_EXTERN PetscErrorCode MatSchurComplementGetKSP(Mat, KSP *);
    984: PETSC_EXTERN PetscErrorCode MatSchurComplementSetKSP(Mat, KSP);
    985: PETSC_EXTERN PetscErrorCode MatSchurComplementSetSubMatrices(Mat, Mat, Mat, Mat, Mat, Mat);
    986: PETSC_EXTERN PetscErrorCode MatSchurComplementUpdateSubMatrices(Mat, Mat, Mat, Mat, Mat, Mat);
    987: PETSC_EXTERN PetscErrorCode MatSchurComplementGetSubMatrices(Mat, Mat *, Mat *, Mat *, Mat *, Mat *);
    988: PETSC_EXTERN PetscErrorCode MatSchurComplementSetAinvType(Mat, MatSchurComplementAinvType);
    989: PETSC_EXTERN PetscErrorCode MatSchurComplementGetAinvType(Mat, MatSchurComplementAinvType *);
    990: PETSC_EXTERN PetscErrorCode MatSchurComplementGetPmat(Mat, MatReuse, Mat *);
    991: PETSC_EXTERN PetscErrorCode MatSchurComplementComputeExplicitOperator(Mat, Mat *);
    992: PETSC_EXTERN PetscErrorCode MatGetSchurComplement(Mat, IS, IS, IS, IS, MatReuse, Mat *, MatSchurComplementAinvType, MatReuse, Mat *);
    993: PETSC_EXTERN PetscErrorCode MatCreateSchurComplementPmat(Mat, Mat, Mat, Mat, MatSchurComplementAinvType, MatReuse, Mat *);

    995: PETSC_EXTERN PetscErrorCode MatCreateLMVMDFP(MPI_Comm, PetscInt, PetscInt, Mat *);
    996: PETSC_EXTERN PetscErrorCode MatCreateLMVMBFGS(MPI_Comm, PetscInt, PetscInt, Mat *);
    997: PETSC_EXTERN PetscErrorCode MatCreateLMVMDBFGS(MPI_Comm, PetscInt, PetscInt, Mat *);
    998: PETSC_EXTERN PetscErrorCode MatCreateLMVMDDFP(MPI_Comm, PetscInt, PetscInt, Mat *);
    999: PETSC_EXTERN PetscErrorCode MatCreateLMVMDQN(MPI_Comm, PetscInt, PetscInt, Mat *);
    1000: PETSC_EXTERN PetscErrorCode MatCreateLMVMSR1(MPI_Comm, PetscInt, PetscInt, Mat *);
    1001: PETSC_EXTERN PetscErrorCode MatCreateLMVMBroyden(MPI_Comm, PetscInt, PetscInt, Mat *);
    1002: PETSC_EXTERN PetscErrorCode MatCreateLMVMBadBroyden(MPI_Comm, PetscInt, PetscInt, Mat *);
    1003: PETSC_EXTERN PetscErrorCode MatCreateLMVMSymBroyden(MPI_Comm, PetscInt, PetscInt, Mat *);
    1004: PETSC_EXTERN PetscErrorCode MatCreateLMVMSymBadBroyden(MPI_Comm, PetscInt, PetscInt, Mat *);
    1005: PETSC_EXTERN PetscErrorCode MatCreateLMVMDiagBroyden(MPI_Comm, PetscInt, PetscInt, Mat *);

    1007: PETSC_EXTERN PetscErrorCode MatLMVMUpdate(Mat, Vec, Vec);
    1008: PETSC_EXTERN PetscErrorCode MatLMVMIsAllocated(Mat, PetscBool *);
    1009: PETSC_EXTERN PetscErrorCode MatLMVMAllocate(Mat, Vec, Vec);
    1010: PETSC_EXTERN PetscErrorCode MatLMVMReset(Mat, PetscBool);
    1011: PETSC_EXTERN PetscErrorCode MatLMVMResetShift(Mat);
    1012: PETSC_EXTERN PetscErrorCode MatLMVMClearJ0(Mat);
    1013: PETSC_EXTERN PetscErrorCode MatLMVMSetJ0(Mat, Mat);
    1014: PETSC_EXTERN PetscErrorCode MatLMVMSetJ0Scale(Mat, PetscReal);
    1015: PETSC_EXTERN PetscErrorCode MatLMVMSetJ0Diag(Mat, Vec);
    1016: PETSC_EXTERN PetscErrorCode MatLMVMSetJ0PC(Mat, PC);
    1017: PETSC_EXTERN PetscErrorCode MatLMVMSetJ0KSP(Mat, KSP);
    1018: PETSC_EXTERN PetscErrorCode MatLMVMApplyJ0Fwd(Mat, Vec, Vec);
    1019: PETSC_EXTERN PetscErrorCode MatLMVMApplyJ0Inv(Mat, Vec, Vec);
    1020: PETSC_EXTERN PetscErrorCode MatLMVMGetJ0(Mat, Mat *);
    1021: PETSC_EXTERN PetscErrorCode MatLMVMGetJ0PC(Mat, PC *);
    1022: PETSC_EXTERN PetscErrorCode MatLMVMGetJ0KSP(Mat, KSP *);
    1023: PETSC_EXTERN PetscErrorCode MatLMVMSetHistorySize(Mat, PetscInt);
    1024: PETSC_EXTERN PetscErrorCode MatLMVMGetHistorySize(Mat, PetscInt *);
    1025: PETSC_EXTERN PetscErrorCode MatLMVMGetUpdateCount(Mat, PetscInt *);
    1026: PETSC_EXTERN PetscErrorCode MatLMVMGetRejectCount(Mat, PetscInt *);
    1027: PETSC_EXTERN PetscErrorCode MatLMVMSymBroydenSetDelta(Mat, PetscScalar);

    1029: /*E
    1030:   MatLMVMSymBroydenScaleType - Scaling type for symmetric Broyden.

    1032:   Values:
    1033: + `MAT_LMVM_SYMBROYDEN_SCALE_NONE`     - No scaling
    1034: . `MAT_LMVM_SYMBROYDEN_SCALE_SCALAR`   - scalar scaling
    1035: . `MAT_LMVM_SYMBROYDEN_SCALE_DIAGONAL` - diagonal scaling
    1036: - `MAT_LMVM_SYMBROYDEN_SCALE_USER`     - user-provided scale option

    1038:   Level: intermediate

    1040: .seealso: [](ch_matrices), `MatLMVM`, `MatLMVMSymBroydenSetScaleType()`
    1041: E*/
    1042: typedef enum {
    1043:   MAT_LMVM_SYMBROYDEN_SCALE_NONE     = 0,
    1044:   MAT_LMVM_SYMBROYDEN_SCALE_SCALAR   = 1,
    1045:   MAT_LMVM_SYMBROYDEN_SCALE_DIAGONAL = 2,
    1046:   MAT_LMVM_SYMBROYDEN_SCALE_USER     = 3
    1047: } MatLMVMSymBroydenScaleType;
    1048: PETSC_EXTERN const char *const MatLMVMSymBroydenScaleTypes[];

    1050: PETSC_EXTERN PetscErrorCode MatLMVMSymBroydenSetScaleType(Mat, MatLMVMSymBroydenScaleType);

    1052: /*E
    1053:   MatLMVMDenseType - Memory storage strategy for dense variants of `MATLMVM`.

    1055:   Values:
    1056: + `MAT_LMVM_DENSE_REORDER` - reorders memory to minimize kernel launch
    1057: - `MAT_LMVM_DENSE_INPLACE` - computes inplace to minimize memory movement

    1059:   Level: intermediate

    1061: .seealso: [](ch_matrices), `MatLMVM`, `MatLMVMDenseSetType()`
    1062: E*/
    1063: typedef enum {
    1064:   MAT_LMVM_DENSE_REORDER,
    1065:   MAT_LMVM_DENSE_INPLACE
    1066: } MatLMVMDenseType;
    1067: PETSC_EXTERN const char *const MatLMVMDenseTypes[];

    1069: PETSC_EXTERN PetscErrorCode MatLMVMDenseSetType(Mat, MatLMVMDenseType);

    1071: PETSC_EXTERN PetscErrorCode KSPSetDM(KSP, DM);
    1072: PETSC_EXTERN PetscErrorCode KSPSetDMActive(KSP, PetscBool);
    1073: PETSC_EXTERN PetscErrorCode KSPGetDM(KSP, DM *);
    1074: PETSC_EXTERN PetscErrorCode KSPSetApplicationContext(KSP, void *);
    1075: PETSC_EXTERN PetscErrorCode KSPGetApplicationContext(KSP, void *);

    1077: /*S
    1078:   KSPComputeRHSFn - A prototype of a `KSP` evaluation function that would be passed to `KSPSetComputeRHS()`

    1080:   Calling Sequence:
    1081: + ksp  - `ksp` context
    1082: . b    - output vector
    1083: - ctx - [optional] user-defined function context

    1085:   Level: beginner

    1087: .seealso: [](ch_snes), `KSP`, `KSPSetComputeRHS()`, `SNESGetFunction()`, `KSPComputeInitialGuessFn`, `KSPComputeOperatorsFn`
    1088: S*/
    1089: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode(KSPComputeRHSFn)(KSP ksp, Vec b, void *ctx);

    1091: PETSC_EXTERN PetscErrorCode KSPSetComputeRHS(KSP, KSPComputeRHSFn *, void *);

    1093: /*S
    1094:   KSPComputeOperatorsFn - A prototype of a `KSP` evaluation function that would be passed to `KSPSetComputeOperators()`

    1096:   Calling Sequence:
    1097: + ksp - `KSP` context
    1098: . A   - the operator that defines the linear system
    1099: . P   - an operator from which to build the preconditioner (often the same as `A`)
    1100: - ctx - [optional] user-defined function context

    1102:   Level: beginner

    1104: .seealso: [](ch_snes), `KSP`, `KSPSetComputeRHS()`, `SNESGetFunction()`, `KSPComputeRHSFn`, `KSPComputeInitialGuessFn`
    1105: S*/
    1106: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode(KSPComputeOperatorsFn)(KSP ksp, Mat A, Mat P, void *ctx);

    1108: PETSC_EXTERN PetscErrorCode KSPSetComputeOperators(KSP, KSPComputeOperatorsFn, void *);

    1110: /*S
    1111:   KSPComputeInitialGuessFn - A prototype of a `KSP` evaluation function that would be passed to `KSPSetComputeInitialGuess()`

    1113:   Calling Sequence:
    1114: + ksp  - `ksp` context
    1115: . x    - output vector
    1116: - ctx - [optional] user-defined function context

    1118:   Level: beginner

    1120: .seealso: [](ch_snes), `KSP`, `KSPSetComputeInitialGuess()`, `SNESGetFunction()`, `KSPComputeRHSFn`, `KSPComputeOperatorsFn`
    1121: S*/
    1122: PETSC_EXTERN_TYPEDEF typedef PetscErrorCode(KSPComputeInitialGuessFn)(KSP ksp, Vec x, void *ctx);

    1124: PETSC_EXTERN PetscErrorCode KSPSetComputeInitialGuess(KSP, KSPComputeInitialGuessFn *, void *);
    1125: PETSC_EXTERN PetscErrorCode DMKSPSetComputeOperators(DM, KSPComputeOperatorsFn *, void *);
    1126: PETSC_EXTERN PetscErrorCode DMKSPGetComputeOperators(DM, KSPComputeOperatorsFn **, void *);
    1127: PETSC_EXTERN PetscErrorCode DMKSPSetComputeRHS(DM, KSPComputeRHSFn *, void *);
    1128: PETSC_EXTERN PetscErrorCode DMKSPGetComputeRHS(DM, KSPComputeRHSFn **, void *);
    1129: PETSC_EXTERN PetscErrorCode DMKSPSetComputeInitialGuess(DM, KSPComputeInitialGuessFn *, void *);
    1130: PETSC_EXTERN PetscErrorCode DMKSPGetComputeInitialGuess(DM, KSPComputeInitialGuessFn **, void *);

    1132: PETSC_EXTERN PetscErrorCode DMGlobalToLocalSolve(DM, Vec, Vec);
    1133: PETSC_EXTERN PetscErrorCode DMProjectField(DM, PetscReal, Vec, void (**)(PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], PetscReal, const PetscReal[], PetscInt, const PetscScalar[], PetscScalar[]), InsertMode, Vec);
    1134: PETSC_EXTERN PetscErrorCode DMSwarmProjectFields(DM, DM, PetscInt, const char **, Vec[], ScatterMode mode);

    1136: PETSC_EXTERN PetscErrorCode DMAdaptInterpolator(DM, DM, Mat, KSP, Mat, Mat, Mat *, void *);
    1137: PETSC_EXTERN PetscErrorCode DMCheckInterpolator(DM, Mat, Mat, Mat, PetscReal);

    1139: PETSC_EXTERN PetscErrorCode PCBJKOKKOSSetKSP(PC, KSP);
    1140: PETSC_EXTERN PetscErrorCode PCBJKOKKOSGetKSP(PC, KSP *);

    1142: PETSC_EXTERN PetscErrorCode DMCopyDMKSP(DM, DM);