Actual source code: petscksp.h
petsc-master 2020-04-04
1: /*
2: Defines the interface functions for the Krylov subspace accelerators.
3: */
4: #ifndef PETSCKSP_H
5: #define PETSCKSP_H
6: #include <petscpc.h>
8: PETSC_EXTERN PetscErrorCode KSPInitializePackage(void);
10: /*S
11: KSP - Abstract PETSc object that manages all Krylov methods. This is the object that manages the
12: linear solves in PETSc (even those such as direct solvers that do no use Krylov accelerators).
14: Level: beginner
16: Notes:
17: When a direct solver is used but no Krylov solver is used the KSP object is still used by with a
18: KSPType of KSPPREONLY (meaning application of the preconditioner is only used as the linear solver).
20: .seealso: KSPCreate(), KSPSetType(), KSPType, SNES, TS, PC, KSP, KSPDestroy(), KSPCG, KSPGMRES
21: S*/
22: typedef struct _p_KSP* KSP;
24: /*J
25: KSPType - String with the name of a PETSc Krylov method.
27: Level: beginner
29: .seealso: KSPSetType(), KSP, KSPRegister(), KSPCreate(), KSPSetFromOptions()
30: J*/
31: typedef const char* KSPType;
32: #define KSPRICHARDSON "richardson"
33: #define KSPCHEBYSHEV "chebyshev"
34: #define KSPCG "cg"
35: #define KSPGROPPCG "groppcg"
36: #define KSPPIPECG "pipecg"
37: #define KSPPIPECGRR "pipecgrr"
38: #define KSPPIPELCG "pipelcg"
39: #define KSPPIPEPRCG "pipeprcg"
40: #define KSPCGNE "cgne"
41: #define KSPNASH "nash"
42: #define KSPSTCG "stcg"
43: #define KSPGLTR "gltr"
44: #define KSPCGNASH PETSC_DEPRECATED_MACRO("GCC warning \"KSPCGNASH macro is deprecated use KSPNASH (since version 3.11)\"") "nash"
45: #define KSPCGSTCG PETSC_DEPRECATED_MACRO("GCC warning \"KSPCGSTCG macro is deprecated use KSPSTCG (since version 3.11)\"") "stcg"
46: #define KSPCGGLTR PETSC_DEPRECATED_MACRO("GCC warning \"KSPCGGLTR macro is deprecated use KSPSGLTR (since version 3.11)\"") "gltr"
47: #define KSPFCG "fcg"
48: #define KSPPIPEFCG "pipefcg"
49: #define KSPGMRES "gmres"
50: #define KSPPIPEFGMRES "pipefgmres"
51: #define KSPFGMRES "fgmres"
52: #define KSPLGMRES "lgmres"
53: #define KSPDGMRES "dgmres"
54: #define KSPPGMRES "pgmres"
55: #define KSPTCQMR "tcqmr"
56: #define KSPBCGS "bcgs"
57: #define KSPIBCGS "ibcgs"
58: #define KSPFBCGS "fbcgs"
59: #define KSPFBCGSR "fbcgsr"
60: #define KSPBCGSL "bcgsl"
61: #define KSPPIPEBCGS "pipebcgs"
62: #define KSPCGS "cgs"
63: #define KSPTFQMR "tfqmr"
64: #define KSPCR "cr"
65: #define KSPPIPECR "pipecr"
66: #define KSPLSQR "lsqr"
67: #define KSPPREONLY "preonly"
68: #define KSPQCG "qcg"
69: #define KSPBICG "bicg"
70: #define KSPMINRES "minres"
71: #define KSPSYMMLQ "symmlq"
72: #define KSPLCD "lcd"
73: #define KSPPYTHON "python"
74: #define KSPGCR "gcr"
75: #define KSPPIPEGCR "pipegcr"
76: #define KSPTSIRM "tsirm"
77: #define KSPCGLS "cgls"
78: #define KSPFETIDP "fetidp"
79: #define KSPHPDDM "hpddm"
81: /* Logging support */
82: PETSC_EXTERN PetscClassId KSP_CLASSID;
83: PETSC_EXTERN PetscClassId KSPGUESS_CLASSID;
84: PETSC_EXTERN PetscClassId DMKSP_CLASSID;
86: PETSC_EXTERN PetscErrorCode KSPCreate(MPI_Comm,KSP*);
87: PETSC_EXTERN PetscErrorCode KSPSetType(KSP,KSPType);
88: PETSC_EXTERN PetscErrorCode KSPGetType(KSP,KSPType*);
89: PETSC_EXTERN PetscErrorCode KSPSetUp(KSP);
90: PETSC_EXTERN PetscErrorCode KSPSetUpOnBlocks(KSP);
91: PETSC_EXTERN PetscErrorCode KSPSolve(KSP,Vec,Vec);
92: PETSC_EXTERN PetscErrorCode KSPSolveTranspose(KSP,Vec,Vec);
93: PETSC_EXTERN PetscErrorCode KSPReset(KSP);
94: PETSC_EXTERN PetscErrorCode KSPResetViewers(KSP);
95: PETSC_EXTERN PetscErrorCode KSPDestroy(KSP*);
96: PETSC_EXTERN PetscErrorCode KSPSetReusePreconditioner(KSP,PetscBool);
97: PETSC_EXTERN PetscErrorCode KSPSetSkipPCSetFromOptions(KSP,PetscBool);
98: PETSC_EXTERN PetscErrorCode KSPCheckSolve(KSP,PC,Vec);
100: PETSC_EXTERN PetscFunctionList KSPList;
101: PETSC_EXTERN PetscFunctionList KSPGuessList;
102: PETSC_EXTERN PetscErrorCode KSPRegister(const char[],PetscErrorCode (*)(KSP));
104: PETSC_EXTERN PetscErrorCode KSPSetPCSide(KSP,PCSide);
105: PETSC_EXTERN PetscErrorCode KSPGetPCSide(KSP,PCSide*);
106: PETSC_EXTERN PetscErrorCode KSPSetTolerances(KSP,PetscReal,PetscReal,PetscReal,PetscInt);
107: PETSC_EXTERN PetscErrorCode KSPGetTolerances(KSP,PetscReal*,PetscReal*,PetscReal*,PetscInt*);
108: PETSC_EXTERN PetscErrorCode KSPSetInitialGuessNonzero(KSP,PetscBool);
109: PETSC_EXTERN PetscErrorCode KSPGetInitialGuessNonzero(KSP,PetscBool*);
110: PETSC_EXTERN PetscErrorCode KSPSetErrorIfNotConverged(KSP,PetscBool);
111: PETSC_EXTERN PetscErrorCode KSPGetErrorIfNotConverged(KSP,PetscBool*);
112: PETSC_EXTERN PetscErrorCode KSPSetComputeEigenvalues(KSP,PetscBool);
113: PETSC_EXTERN PetscErrorCode KSPSetComputeRitz(KSP,PetscBool);
114: PETSC_EXTERN PetscErrorCode KSPGetComputeEigenvalues(KSP,PetscBool*);
115: PETSC_EXTERN PetscErrorCode KSPSetComputeSingularValues(KSP,PetscBool);
116: PETSC_EXTERN PetscErrorCode KSPGetComputeSingularValues(KSP,PetscBool*);
117: PETSC_EXTERN PetscErrorCode KSPGetRhs(KSP,Vec*);
118: PETSC_EXTERN PetscErrorCode KSPGetSolution(KSP,Vec*);
119: PETSC_EXTERN PetscErrorCode KSPGetResidualNorm(KSP,PetscReal*);
120: PETSC_EXTERN PetscErrorCode KSPGetIterationNumber(KSP,PetscInt*);
121: PETSC_EXTERN PetscErrorCode KSPGetTotalIterations(KSP,PetscInt*);
122: PETSC_EXTERN PetscErrorCode KSPCreateVecs(KSP,PetscInt,Vec**,PetscInt,Vec**);
123: PETSC_DEPRECATED_FUNCTION("Use KSPCreateVecs() (since version 3.6)") PETSC_STATIC_INLINE PetscErrorCode KSPGetVecs(KSP ksp,PetscInt n,Vec **x,PetscInt m,Vec **y) {return KSPCreateVecs(ksp,n,x,m,y);}
125: PETSC_EXTERN PetscErrorCode KSPSetPreSolve(KSP,PetscErrorCode (*)(KSP,Vec,Vec,void*),void*);
126: PETSC_EXTERN PetscErrorCode KSPSetPostSolve(KSP,PetscErrorCode (*)(KSP,Vec,Vec,void*),void*);
128: PETSC_EXTERN PetscErrorCode KSPSetPC(KSP,PC);
129: PETSC_EXTERN PetscErrorCode KSPGetPC(KSP,PC*);
131: PETSC_EXTERN PetscErrorCode KSPMonitor(KSP,PetscInt,PetscReal);
132: PETSC_EXTERN PetscErrorCode KSPMonitorSet(KSP,PetscErrorCode (*)(KSP,PetscInt,PetscReal,void*),void*,PetscErrorCode (*)(void**));
133: PETSC_EXTERN PetscErrorCode KSPMonitorCancel(KSP);
134: PETSC_EXTERN PetscErrorCode KSPGetMonitorContext(KSP,void**);
135: PETSC_EXTERN PetscErrorCode KSPGetResidualHistory(KSP,PetscReal*[],PetscInt*);
136: PETSC_EXTERN PetscErrorCode KSPSetResidualHistory(KSP,PetscReal[],PetscInt,PetscBool );
138: PETSC_EXTERN PetscErrorCode KSPBuildSolutionDefault(KSP,Vec,Vec*);
139: PETSC_EXTERN PetscErrorCode KSPBuildResidualDefault(KSP,Vec,Vec,Vec*);
140: PETSC_EXTERN PetscErrorCode KSPDestroyDefault(KSP);
141: PETSC_EXTERN PetscErrorCode KSPSetWorkVecs(KSP,PetscInt);
143: PETSC_EXTERN PetscErrorCode PCKSPGetKSP(PC,KSP*);
144: PETSC_EXTERN PetscErrorCode PCKSPSetKSP(PC,KSP);
145: PETSC_EXTERN PetscErrorCode PCBJacobiGetSubKSP(PC,PetscInt*,PetscInt*,KSP*[]);
146: PETSC_EXTERN PetscErrorCode PCASMGetSubKSP(PC,PetscInt*,PetscInt*,KSP*[]);
147: PETSC_EXTERN PetscErrorCode PCGASMGetSubKSP(PC,PetscInt*,PetscInt*,KSP*[]);
148: PETSC_EXTERN PetscErrorCode PCFieldSplitGetSubKSP(PC,PetscInt*,KSP*[]);
149: PETSC_EXTERN PetscErrorCode PCFieldSplitSchurGetSubKSP(PC,PetscInt*,KSP*[]);
150: PETSC_EXTERN PetscErrorCode PCMGGetSmoother(PC,PetscInt,KSP*);
151: PETSC_EXTERN PetscErrorCode PCMGGetSmootherDown(PC,PetscInt,KSP*);
152: PETSC_EXTERN PetscErrorCode PCMGGetSmootherUp(PC,PetscInt,KSP*);
153: PETSC_EXTERN PetscErrorCode PCMGGetCoarseSolve(PC,KSP*);
154: PETSC_EXTERN PetscErrorCode PCGalerkinGetKSP(PC,KSP*);
155: PETSC_EXTERN PetscErrorCode PCDeflationGetCoarseKSP(PC,KSP*);
157: PETSC_EXTERN PetscErrorCode KSPBuildSolution(KSP,Vec,Vec*);
158: PETSC_EXTERN PetscErrorCode KSPBuildResidual(KSP,Vec,Vec,Vec*);
160: PETSC_EXTERN PetscErrorCode KSPRichardsonSetScale(KSP,PetscReal);
161: PETSC_EXTERN PetscErrorCode KSPRichardsonSetSelfScale(KSP,PetscBool );
162: PETSC_EXTERN PetscErrorCode KSPChebyshevSetEigenvalues(KSP,PetscReal,PetscReal);
163: PETSC_EXTERN PetscErrorCode KSPChebyshevEstEigSet(KSP,PetscReal,PetscReal,PetscReal,PetscReal);
164: PETSC_EXTERN PetscErrorCode KSPChebyshevEstEigSetUseNoisy(KSP,PetscBool);
165: PETSC_EXTERN PetscErrorCode KSPChebyshevEstEigGetKSP(KSP,KSP*);
166: PETSC_EXTERN PetscErrorCode KSPComputeExtremeSingularValues(KSP,PetscReal*,PetscReal*);
167: PETSC_EXTERN PetscErrorCode KSPComputeEigenvalues(KSP,PetscInt,PetscReal[],PetscReal[],PetscInt*);
168: PETSC_EXTERN PetscErrorCode KSPComputeEigenvaluesExplicitly(KSP,PetscInt,PetscReal[],PetscReal[]);
169: PETSC_EXTERN PetscErrorCode KSPComputeRitz(KSP,PetscBool,PetscBool,PetscInt*,Vec[],PetscReal[],PetscReal[]);
171: /*E
173: KSPFCDTruncationType - Define how stored directions are used to orthogonalize in flexible conjugate directions (FCD) methods
175: KSP_FCD_TRUNC_TYPE_STANDARD uses all (up to mmax) stored directions
176: KSP_FCD_TRUNC_TYPE_NOTAY uses the last max(1,mod(i,mmax)) stored directions at iteration i=0,1..
178: Level: intermediate
179: .seealso : KSPFCG,KSPPIPEFCG,KSPPIPEGCR,KSPFCGSetTruncationType(),KSPFCGGetTruncationType()
181: E*/
182: typedef enum {KSP_FCD_TRUNC_TYPE_STANDARD,KSP_FCD_TRUNC_TYPE_NOTAY} KSPFCDTruncationType;
183: PETSC_EXTERN const char *const KSPFCDTruncationTypes[];
185: PETSC_EXTERN PetscErrorCode KSPFCGSetMmax(KSP,PetscInt);
186: PETSC_EXTERN PetscErrorCode KSPFCGGetMmax(KSP,PetscInt*);
187: PETSC_EXTERN PetscErrorCode KSPFCGSetNprealloc(KSP,PetscInt);
188: PETSC_EXTERN PetscErrorCode KSPFCGGetNprealloc(KSP,PetscInt*);
189: PETSC_EXTERN PetscErrorCode KSPFCGSetTruncationType(KSP,KSPFCDTruncationType);
190: PETSC_EXTERN PetscErrorCode KSPFCGGetTruncationType(KSP,KSPFCDTruncationType*);
192: PETSC_EXTERN PetscErrorCode KSPPIPEFCGSetMmax(KSP,PetscInt);
193: PETSC_EXTERN PetscErrorCode KSPPIPEFCGGetMmax(KSP,PetscInt*);
194: PETSC_EXTERN PetscErrorCode KSPPIPEFCGSetNprealloc(KSP,PetscInt);
195: PETSC_EXTERN PetscErrorCode KSPPIPEFCGGetNprealloc(KSP,PetscInt*);
196: PETSC_EXTERN PetscErrorCode KSPPIPEFCGSetTruncationType(KSP,KSPFCDTruncationType);
197: PETSC_EXTERN PetscErrorCode KSPPIPEFCGGetTruncationType(KSP,KSPFCDTruncationType*);
199: PETSC_EXTERN PetscErrorCode KSPPIPEGCRSetMmax(KSP,PetscInt);
200: PETSC_EXTERN PetscErrorCode KSPPIPEGCRGetMmax(KSP,PetscInt*);
201: PETSC_EXTERN PetscErrorCode KSPPIPEGCRSetNprealloc(KSP,PetscInt);
202: PETSC_EXTERN PetscErrorCode KSPPIPEGCRGetNprealloc(KSP,PetscInt*);
203: PETSC_EXTERN PetscErrorCode KSPPIPEGCRSetTruncationType(KSP,KSPFCDTruncationType);
204: PETSC_EXTERN PetscErrorCode KSPPIPEGCRGetTruncationType(KSP,KSPFCDTruncationType*);
205: PETSC_EXTERN PetscErrorCode KSPPIPEGCRSetUnrollW(KSP,PetscBool);
206: PETSC_EXTERN PetscErrorCode KSPPIPEGCRGetUnrollW(KSP,PetscBool*);
208: PETSC_EXTERN PetscErrorCode KSPGMRESSetRestart(KSP, PetscInt);
209: PETSC_EXTERN PetscErrorCode KSPGMRESGetRestart(KSP, PetscInt*);
210: PETSC_EXTERN PetscErrorCode KSPGMRESSetHapTol(KSP,PetscReal);
212: PETSC_EXTERN PetscErrorCode KSPGMRESSetPreAllocateVectors(KSP);
213: PETSC_EXTERN PetscErrorCode KSPGMRESSetOrthogonalization(KSP,PetscErrorCode (*)(KSP,PetscInt));
214: PETSC_EXTERN PetscErrorCode KSPGMRESGetOrthogonalization(KSP,PetscErrorCode (**)(KSP,PetscInt));
215: PETSC_EXTERN PetscErrorCode KSPGMRESModifiedGramSchmidtOrthogonalization(KSP,PetscInt);
216: PETSC_EXTERN PetscErrorCode KSPGMRESClassicalGramSchmidtOrthogonalization(KSP,PetscInt);
218: PETSC_EXTERN PetscErrorCode KSPLGMRESSetAugDim(KSP,PetscInt);
219: PETSC_EXTERN PetscErrorCode KSPLGMRESSetConstant(KSP);
221: PETSC_EXTERN PetscErrorCode KSPPIPEFGMRESSetShift(KSP,PetscScalar);
223: PETSC_EXTERN PetscErrorCode KSPGCRSetRestart(KSP,PetscInt);
224: PETSC_EXTERN PetscErrorCode KSPGCRGetRestart(KSP,PetscInt*);
225: PETSC_EXTERN PetscErrorCode KSPGCRSetModifyPC(KSP,PetscErrorCode (*)(KSP,PetscInt,PetscReal,void*),void*,PetscErrorCode(*)(void*));
227: PETSC_EXTERN PetscErrorCode KSPFETIDPGetInnerBDDC(KSP,PC*);
228: PETSC_EXTERN PetscErrorCode KSPFETIDPSetInnerBDDC(KSP,PC);
229: PETSC_EXTERN PetscErrorCode KSPFETIDPGetInnerKSP(KSP,KSP*);
230: PETSC_EXTERN PetscErrorCode KSPFETIDPSetPressureOperator(KSP,Mat);
232: PETSC_EXTERN PetscErrorCode KSPHPDDMSetDeflationSpace(KSP,Mat);
233: PETSC_EXTERN PetscErrorCode KSPHPDDMGetDeflationSpace(KSP,Mat*);
235: /*E
236: KSPGMRESCGSRefinementType - How the classical (unmodified) Gram-Schmidt is performed.
238: Level: advanced
240: .seealso: KSPGMRESClassicalGramSchmidtOrthogonalization(), KSPGMRESSetOrthogonalization(), KSPGMRESGetOrthogonalization(),
241: KSPGMRESSetCGSRefinementType(), KSPGMRESGetCGSRefinementType(), KSPGMRESModifiedGramSchmidtOrthogonalization()
243: E*/
244: typedef enum {KSP_GMRES_CGS_REFINE_NEVER, KSP_GMRES_CGS_REFINE_IFNEEDED, KSP_GMRES_CGS_REFINE_ALWAYS} KSPGMRESCGSRefinementType;
245: PETSC_EXTERN const char *const KSPGMRESCGSRefinementTypes[];
246: /*MC
247: KSP_GMRES_CGS_REFINE_NEVER - Do the classical (unmodified) Gram-Schmidt process
249: Level: advanced
251: Note: Possible unstable, but the fastest to compute
253: .seealso: KSPGMRESClassicalGramSchmidtOrthogonalization(), KSPGMRESSetOrthogonalization(), KSPGMRESGetOrthogonalization(),
254: KSPGMRESSetCGSRefinementType(), KSPGMRESGetCGSRefinementType(), KSP_GMRES_CGS_REFINE_IFNEEDED, KSP_GMRES_CGS_REFINE_ALWAYS,
255: KSPGMRESModifiedGramSchmidtOrthogonalization()
256: M*/
258: /*MC
259: KSP_GMRES_CGS_REFINE_IFNEEDED - Do the classical (unmodified) Gram-Schmidt process and one step of
260: iterative refinement if an estimate of the orthogonality of the resulting vectors indicates
261: poor orthogonality.
263: Level: advanced
265: Note: This is slower than KSP_GMRES_CGS_REFINE_NEVER because it requires an extra norm computation to
266: estimate the orthogonality but is more stable.
268: .seealso: KSPGMRESClassicalGramSchmidtOrthogonalization(), KSPGMRESSetOrthogonalization(), KSPGMRESGetOrthogonalization(),
269: KSPGMRESSetCGSRefinementType(), KSPGMRESGetCGSRefinementType(), KSP_GMRES_CGS_REFINE_NEVER, KSP_GMRES_CGS_REFINE_ALWAYS,
270: KSPGMRESModifiedGramSchmidtOrthogonalization()
271: M*/
273: /*MC
274: KSP_GMRES_CGS_REFINE_NEVER - Do two steps of the classical (unmodified) Gram-Schmidt process.
276: Level: advanced
278: Note: This is roughly twice the cost of KSP_GMRES_CGS_REFINE_NEVER because it performs the process twice
279: but it saves the extra norm calculation needed by KSP_GMRES_CGS_REFINE_IFNEEDED.
281: You should only use this if you absolutely know that the iterative refinement is needed.
283: .seealso: KSPGMRESClassicalGramSchmidtOrthogonalization(), KSPGMRESSetOrthogonalization(), KSPGMRESGetOrthogonalization(),
284: KSPGMRESSetCGSRefinementType(), KSPGMRESGetCGSRefinementType(), KSP_GMRES_CGS_REFINE_IFNEEDED, KSP_GMRES_CGS_REFINE_ALWAYS,
285: KSPGMRESModifiedGramSchmidtOrthogonalization()
286: M*/
288: PETSC_EXTERN PetscErrorCode KSPGMRESSetCGSRefinementType(KSP,KSPGMRESCGSRefinementType);
289: PETSC_EXTERN PetscErrorCode KSPGMRESGetCGSRefinementType(KSP,KSPGMRESCGSRefinementType*);
291: PETSC_EXTERN PetscErrorCode KSPFGMRESModifyPCNoChange(KSP,PetscInt,PetscInt,PetscReal,void*);
292: PETSC_EXTERN PetscErrorCode KSPFGMRESModifyPCKSP(KSP,PetscInt,PetscInt,PetscReal,void*);
293: PETSC_EXTERN PetscErrorCode KSPFGMRESSetModifyPC(KSP,PetscErrorCode (*)(KSP,PetscInt,PetscInt,PetscReal,void*),void*,PetscErrorCode(*)(void*));
295: PETSC_EXTERN PetscErrorCode KSPQCGSetTrustRegionRadius(KSP,PetscReal);
296: PETSC_EXTERN PetscErrorCode KSPQCGGetQuadratic(KSP,PetscReal*);
297: PETSC_EXTERN PetscErrorCode KSPQCGGetTrialStepNorm(KSP,PetscReal*);
299: PETSC_EXTERN PetscErrorCode KSPBCGSLSetXRes(KSP,PetscReal);
300: PETSC_EXTERN PetscErrorCode KSPBCGSLSetPol(KSP,PetscBool );
301: PETSC_EXTERN PetscErrorCode KSPBCGSLSetEll(KSP,PetscInt);
302: PETSC_EXTERN PetscErrorCode KSPBCGSLSetUsePseudoinverse(KSP,PetscBool);
304: PETSC_EXTERN PetscErrorCode KSPSetFromOptions(KSP);
305: PETSC_EXTERN PetscErrorCode KSPResetFromOptions(KSP);
306: PETSC_EXTERN PetscErrorCode KSPAddOptionsChecker(PetscErrorCode (*)(KSP));
308: PETSC_EXTERN PetscErrorCode KSPMonitorSingularValue(KSP,PetscInt,PetscReal,PetscViewerAndFormat*);
309: PETSC_EXTERN PetscErrorCode KSPMonitorDefault(KSP,PetscInt,PetscReal,PetscViewerAndFormat*);
310: PETSC_EXTERN PetscErrorCode KSPLSQRMonitorDefault(KSP,PetscInt,PetscReal,PetscViewerAndFormat*);
311: PETSC_EXTERN PetscErrorCode KSPMonitorRange(KSP,PetscInt,PetscReal,PetscViewerAndFormat*);
312: PETSC_EXTERN PetscErrorCode KSPMonitorDynamicTolerance(KSP ksp,PetscInt its,PetscReal fnorm,void *dummy);
313: PETSC_EXTERN PetscErrorCode KSPMonitorDynamicToleranceDestroy(void **dummy);
314: PETSC_EXTERN PetscErrorCode KSPMonitorTrueResidualNorm(KSP,PetscInt,PetscReal,PetscViewerAndFormat*);
315: PETSC_EXTERN PetscErrorCode KSPMonitorTrueResidualMaxNorm(KSP,PetscInt,PetscReal,PetscViewerAndFormat*);
316: PETSC_EXTERN PetscErrorCode KSPMonitorDefaultShort(KSP,PetscInt,PetscReal,PetscViewerAndFormat*);
317: PETSC_EXTERN PetscErrorCode KSPMonitorSolution(KSP,PetscInt,PetscReal,PetscViewerAndFormat*);
318: PETSC_EXTERN PetscErrorCode KSPMonitorSAWs(KSP,PetscInt,PetscReal,void*);
319: PETSC_EXTERN PetscErrorCode KSPMonitorSAWsCreate(KSP,void**);
320: PETSC_EXTERN PetscErrorCode KSPMonitorSAWsDestroy(void**);
321: PETSC_EXTERN PetscErrorCode KSPGMRESMonitorKrylov(KSP,PetscInt,PetscReal,void*);
322: PETSC_EXTERN PetscErrorCode KSPMonitorSetFromOptions(KSP,const char[],const char[],const char [],PetscErrorCode (*)(KSP,PetscInt,PetscReal,PetscViewerAndFormat*));
324: PETSC_EXTERN PetscErrorCode KSPUnwindPreconditioner(KSP,Vec,Vec);
325: PETSC_EXTERN PetscErrorCode KSPInitialResidual(KSP,Vec,Vec,Vec,Vec,Vec);
327: PETSC_EXTERN PetscErrorCode KSPSetOperators(KSP,Mat,Mat);
328: PETSC_EXTERN PetscErrorCode KSPGetOperators(KSP,Mat*,Mat*);
329: PETSC_EXTERN PetscErrorCode KSPGetOperatorsSet(KSP,PetscBool*,PetscBool*);
330: PETSC_EXTERN PetscErrorCode KSPSetOptionsPrefix(KSP,const char[]);
331: PETSC_EXTERN PetscErrorCode KSPAppendOptionsPrefix(KSP,const char[]);
332: PETSC_EXTERN PetscErrorCode KSPGetOptionsPrefix(KSP,const char*[]);
334: PETSC_EXTERN PetscErrorCode KSPSetDiagonalScale(KSP,PetscBool );
335: PETSC_EXTERN PetscErrorCode KSPGetDiagonalScale(KSP,PetscBool*);
336: PETSC_EXTERN PetscErrorCode KSPSetDiagonalScaleFix(KSP,PetscBool );
337: PETSC_EXTERN PetscErrorCode KSPGetDiagonalScaleFix(KSP,PetscBool*);
339: PETSC_EXTERN PetscErrorCode KSPView(KSP,PetscViewer);
340: PETSC_EXTERN PetscErrorCode KSPLoad(KSP,PetscViewer);
341: PETSC_EXTERN PetscErrorCode KSPViewFromOptions(KSP,PetscObject,const char[]);
342: PETSC_EXTERN PetscErrorCode KSPReasonView(KSP,PetscViewer);
343: PETSC_EXTERN PetscErrorCode KSPReasonViewFromOptions(KSP);
345: #define KSP_FILE_CLASSID 1211223
347: PETSC_EXTERN PetscErrorCode KSPLSQRSetExactMatNorm(KSP,PetscBool);
348: PETSC_EXTERN PetscErrorCode KSPLSQRSetComputeStandardErrorVec(KSP,PetscBool);
349: PETSC_EXTERN PetscErrorCode KSPLSQRGetStandardErrorVec(KSP,Vec*);
350: PETSC_EXTERN PetscErrorCode KSPLSQRGetNorms(KSP,PetscReal*,PetscReal*);
352: PETSC_EXTERN PetscErrorCode PCRedundantGetKSP(PC,KSP*);
353: PETSC_EXTERN PetscErrorCode PCRedistributeGetKSP(PC,KSP*);
354: PETSC_EXTERN PetscErrorCode PCTelescopeGetKSP(PC,KSP*);
356: /*E
357: KSPNormType - Norm that is passed in the Krylov convergence
358: test routines.
360: Level: advanced
362: Each solver only supports a subset of these and some may support different ones
363: depending on left or right preconditioning, see KSPSetPCSide()
365: Notes:
366: this must match petsc/finclude/petscksp.h
368: .seealso: KSPSolve(), KSPGetConvergedReason(), KSPSetNormType(),
369: KSPSetConvergenceTest(), KSPSetPCSide()
370: E*/
371: typedef enum {KSP_NORM_DEFAULT = -1,KSP_NORM_NONE = 0,KSP_NORM_PRECONDITIONED = 1,KSP_NORM_UNPRECONDITIONED = 2,KSP_NORM_NATURAL = 3} KSPNormType;
372: #define KSP_NORM_MAX (KSP_NORM_NATURAL + 1)
373: PETSC_EXTERN const char *const*const KSPNormTypes;
375: /*MC
376: KSP_NORM_NONE - Do not compute a norm during the Krylov process. This will
377: possibly save some computation but means the convergence test cannot
378: be based on a norm of a residual etc.
380: Level: advanced
382: Note: Some Krylov methods need to compute a residual norm (such as GMRES) and then this option is ignored
384: .seealso: KSPNormType, KSPSetNormType(), KSP_NORM_PRECONDITIONED, KSP_NORM_UNPRECONDITIONED, KSP_NORM_NATURAL
385: M*/
387: /*MC
388: KSP_NORM_PRECONDITIONED - Compute the norm of the preconditioned residual B*(b - A*x), if left preconditioning, and pass that to the
389: convergence test routine.
391: Level: advanced
393: .seealso: KSPNormType, KSPSetNormType(), KSP_NORM_NONE, KSP_NORM_UNPRECONDITIONED, KSP_NORM_NATURAL, KSPSetConvergenceTest()
394: M*/
396: /*MC
397: KSP_NORM_UNPRECONDITIONED - Compute the norm of the true residual (b - A*x) and pass that to the
398: convergence test routine.
400: Level: advanced
402: .seealso: KSPNormType, KSPSetNormType(), KSP_NORM_NONE, KSP_NORM_PRECONDITIONED, KSP_NORM_NATURAL, KSPSetConvergenceTest()
403: M*/
405: /*MC
406: KSP_NORM_NATURAL - Compute the 'natural norm' of residual sqrt((b - A*x)*B*(b - A*x)) and pass that to the
407: convergence test routine. This is only supported by KSPCG, KSPCR, KSPCGNE, KSPCGS, KSPFCG, KSPPIPEFCG, KSPPIPEGCR
409: Level: advanced
411: .seealso: KSPNormType, KSPSetNormType(), KSP_NORM_NONE, KSP_NORM_PRECONDITIONED, KSP_NORM_UNPRECONDITIONED, KSPSetConvergenceTest()
412: M*/
414: PETSC_EXTERN PetscErrorCode KSPSetNormType(KSP,KSPNormType);
415: PETSC_EXTERN PetscErrorCode KSPGetNormType(KSP,KSPNormType*);
416: PETSC_EXTERN PetscErrorCode KSPSetSupportedNorm(KSP ksp,KSPNormType,PCSide,PetscInt);
417: PETSC_EXTERN PetscErrorCode KSPSetCheckNormIteration(KSP,PetscInt);
418: PETSC_EXTERN PetscErrorCode KSPSetLagNorm(KSP,PetscBool);
420: #define KSP_DIVERGED_PCSETUP_FAILED_DEPRECATED KSP_DIVERGED_PCSETUP_FAILED PETSC_DEPRECATED_ENUM("Use KSP_DIVERGED_PC_FAILED (since version 3.11)")
421: /*E
422: KSPConvergedReason - reason a Krylov method was said to have converged or diverged
424: Level: beginner
426: Notes:
427: See KSPGetConvergedReason() for explanation of each value
429: Developer Notes:
430: this must match petsc/finclude/petscksp.h
432: The string versions of these are KSPConvergedReasons; if you change
433: any of the values here also change them that array of names.
435: .seealso: KSPSolve(), KSPGetConvergedReason(), KSPSetTolerances()
436: E*/
437: typedef enum {/* converged */
438: KSP_CONVERGED_RTOL_NORMAL = 1,
439: KSP_CONVERGED_ATOL_NORMAL = 9,
440: KSP_CONVERGED_RTOL = 2,
441: KSP_CONVERGED_ATOL = 3,
442: KSP_CONVERGED_ITS = 4,
443: KSP_CONVERGED_CG_NEG_CURVE = 5,
444: KSP_CONVERGED_CG_CONSTRAINED = 6,
445: KSP_CONVERGED_STEP_LENGTH = 7,
446: KSP_CONVERGED_HAPPY_BREAKDOWN = 8,
447: /* diverged */
448: KSP_DIVERGED_NULL = -2,
449: KSP_DIVERGED_ITS = -3,
450: KSP_DIVERGED_DTOL = -4,
451: KSP_DIVERGED_BREAKDOWN = -5,
452: KSP_DIVERGED_BREAKDOWN_BICG = -6,
453: KSP_DIVERGED_NONSYMMETRIC = -7,
454: KSP_DIVERGED_INDEFINITE_PC = -8,
455: KSP_DIVERGED_NANORINF = -9,
456: KSP_DIVERGED_INDEFINITE_MAT = -10,
457: KSP_DIVERGED_PC_FAILED = -11,
458: KSP_DIVERGED_PCSETUP_FAILED_DEPRECATED = -11,
460: KSP_CONVERGED_ITERATING = 0} KSPConvergedReason;
461: PETSC_EXTERN const char *const*KSPConvergedReasons;
463: /*MC
464: KSP_CONVERGED_RTOL - norm(r) <= rtol*norm(b) or rtol*norm(b - A*x_0) if KSPConvergedDefaultSetUIRNorm() was called
466: Level: beginner
468: See KSPNormType and KSPSetNormType() for possible norms that may be used. By default
469: for left preconditioning it is the 2-norm of the preconditioned residual, and the
470: 2-norm of the residual for right preconditioning
472: See also KSP_CONVERGED_ATOL which may apply before this tolerance.
474: .seealso: KSP_CONVERGED_ATOL, KSP_DIVERGED_DTOL, KSPSolve(), KSPGetConvergedReason(), KSPConvergedReason, KSPSetTolerances()
476: M*/
478: /*MC
479: KSP_CONVERGED_ATOL - norm(r) <= atol
481: Level: beginner
483: See KSPNormType and KSPSetNormType() for possible norms that may be used. By default
484: for left preconditioning it is the 2-norm of the preconditioned residual, and the
485: 2-norm of the residual for right preconditioning
487: See also KSP_CONVERGED_RTOL which may apply before this tolerance.
489: .seealso: KSP_CONVERGED_RTOL, KSP_DIVERGED_DTOL, KSPSolve(), KSPGetConvergedReason(), KSPConvergedReason, KSPSetTolerances()
491: M*/
493: /*MC
494: KSP_DIVERGED_DTOL - norm(r) >= dtol*norm(b)
496: Level: beginner
498: See KSPNormType and KSPSetNormType() for possible norms that may be used. By default
499: for left preconditioning it is the 2-norm of the preconditioned residual, and the
500: 2-norm of the residual for right preconditioning
502: Level: beginner
504: .seealso: KSP_CONVERGED_ATOL, KSP_DIVERGED_RTOL, KSPSolve(), KSPGetConvergedReason(), KSPConvergedReason, KSPSetTolerances()
506: M*/
508: /*MC
509: KSP_DIVERGED_ITS - Ran out of iterations before any convergence criteria was
510: reached
512: Level: beginner
514: .seealso: KSPSolve(), KSPGetConvergedReason(), KSPConvergedReason, KSPSetTolerances()
516: M*/
518: /*MC
519: KSP_CONVERGED_ITS - Used by the KSPPREONLY solver after the single iteration of
520: the preconditioner is applied. Also used when the KSPConvergedSkip() convergence
521: test routine is set in KSP.
523: Level: beginner
525: .seealso: KSPSolve(), KSPGetConvergedReason(), KSPConvergedReason, KSPSetTolerances()
527: M*/
529: /*MC
530: KSP_DIVERGED_BREAKDOWN - A breakdown in the Krylov method was detected so the
531: method could not continue to enlarge the Krylov space. Could be due to a singlular matrix or
532: preconditioner.
534: Level: beginner
536: .seealso: KSPSolve(), KSPGetConvergedReason(), KSPConvergedReason, KSPSetTolerances()
538: M*/
540: /*MC
541: KSP_DIVERGED_BREAKDOWN_BICG - A breakdown in the KSPBICG method was detected so the
542: method could not continue to enlarge the Krylov space.
544: Level: beginner
546: .seealso: KSPSolve(), KSPGetConvergedReason(), KSPConvergedReason, KSPSetTolerances()
548: M*/
550: /*MC
551: KSP_DIVERGED_NONSYMMETRIC - It appears the operator or preconditioner is not
552: symmetric and this Krylov method (KSPCG, KSPMINRES, KSPCR) requires symmetry
554: Level: beginner
556: .seealso: KSPSolve(), KSPGetConvergedReason(), KSPConvergedReason, KSPSetTolerances()
558: M*/
560: /*MC
561: KSP_DIVERGED_INDEFINITE_PC - It appears the preconditioner is indefinite (has both
562: positive and negative eigenvalues) and this Krylov method (KSPCG) requires it to
563: be positive definite
565: Level: beginner
567: Notes:
568: This can happen with the PCICC preconditioner, use -pc_factor_shift_positive_definite to force
569: the PCICC preconditioner to generate a positive definite preconditioner
571: .seealso: KSPSolve(), KSPGetConvergedReason(), KSPConvergedReason, KSPSetTolerances()
573: M*/
575: /*MC
576: KSP_DIVERGED_PC_FAILED - It was not possible to build or use the requested preconditioner. This is usually due to a
577: zero pivot in a factorization. It can also result from a failure in a subpreconditioner inside a nested preconditioner
578: such as PCFIELDSPLIT.
580: Level: beginner
582: Notes:
583: Run with -ksp_error_if_not_converged to stop the program when the error is detected and print an error message with details.
586: .seealso: KSPSolve(), KSPGetConvergedReason(), KSPConvergedReason, KSPSetTolerances()
588: M*/
590: /*MC
591: KSP_CONVERGED_ITERATING - This flag is returned if you call KSPGetConvergedReason()
592: while the KSPSolve() is still running.
594: Level: beginner
596: .seealso: KSPSolve(), KSPGetConvergedReason(), KSPConvergedReason, KSPSetTolerances()
598: M*/
600: PETSC_EXTERN PetscErrorCode KSPSetConvergenceTest(KSP,PetscErrorCode (*)(KSP,PetscInt,PetscReal,KSPConvergedReason*,void*),void*,PetscErrorCode (*)(void*));
601: PETSC_EXTERN PetscErrorCode KSPGetConvergenceTest(KSP,PetscErrorCode (**)(KSP,PetscInt,PetscReal,KSPConvergedReason*,void*),void**,PetscErrorCode (**)(void*));
602: PETSC_EXTERN PetscErrorCode KSPGetAndClearConvergenceTest(KSP,PetscErrorCode (**)(KSP,PetscInt,PetscReal,KSPConvergedReason*,void*),void**,PetscErrorCode (**)(void*));
603: PETSC_EXTERN PetscErrorCode KSPGetConvergenceContext(KSP,void**);
604: PETSC_EXTERN PetscErrorCode KSPConvergedDefault(KSP,PetscInt,PetscReal,KSPConvergedReason*,void*);
605: PETSC_EXTERN PetscErrorCode KSPLSQRConvergedDefault(KSP,PetscInt,PetscReal,KSPConvergedReason*,void*);
606: PETSC_EXTERN PetscErrorCode KSPConvergedDefaultDestroy(void*);
607: PETSC_EXTERN PetscErrorCode KSPConvergedDefaultCreate(void**);
608: PETSC_EXTERN PetscErrorCode KSPConvergedDefaultSetUIRNorm(KSP);
609: PETSC_EXTERN PetscErrorCode KSPConvergedDefaultSetUMIRNorm(KSP);
610: PETSC_EXTERN PetscErrorCode KSPConvergedSkip(KSP,PetscInt,PetscReal,KSPConvergedReason*,void*);
611: PETSC_EXTERN PetscErrorCode KSPGetConvergedReason(KSP,KSPConvergedReason*);
613: PETSC_DEPRECATED_FUNCTION("Use KSPConvergedDefault() (since version 3.5)") PETSC_STATIC_INLINE void KSPDefaultConverged(void) { /* never called */ }
614: #define KSPDefaultConverged (KSPDefaultConverged, KSPConvergedDefault)
615: PETSC_DEPRECATED_FUNCTION("Use KSPConvergedDefaultDestroy() (since version 3.5)") PETSC_STATIC_INLINE void KSPDefaultConvergedDestroy(void) { /* never called */ }
616: #define KSPDefaultConvergedDestroy (KSPDefaultConvergedDestroy, KSPConvergedDefaultDestroy)
617: PETSC_DEPRECATED_FUNCTION("Use KSPConvergedDefaultCreate() (since version 3.5)") PETSC_STATIC_INLINE void KSPDefaultConvergedCreate(void) { /* never called */ }
618: #define KSPDefaultConvergedCreate (KSPDefaultConvergedCreate, KSPConvergedDefaultCreate)
619: PETSC_DEPRECATED_FUNCTION("Use KSPConvergedDefaultSetUIRNorm() (since version 3.5)") PETSC_STATIC_INLINE void KSPDefaultConvergedSetUIRNorm(void) { /* never called */ }
620: #define KSPDefaultConvergedSetUIRNorm (KSPDefaultConvergedSetUIRNorm, KSPConvergedDefaultSetUIRNorm)
621: PETSC_DEPRECATED_FUNCTION("Use KSPConvergedDefaultSetUMIRNorm() (since version 3.5)") PETSC_STATIC_INLINE void KSPDefaultConvergedSetUMIRNorm(void) { /* never called */ }
622: #define KSPDefaultConvergedSetUMIRNorm (KSPDefaultConvergedSetUMIRNorm, KSPConvergedDefaultSetUMIRNorm)
623: PETSC_DEPRECATED_FUNCTION("Use KSPConvergedSkip() (since version 3.5)") PETSC_STATIC_INLINE void KSPSkipConverged(void) { /* never called */ }
624: #define KSPSkipConverged (KSPSkipConverged, KSPConvergedSkip)
626: PETSC_EXTERN PetscErrorCode KSPComputeOperator(KSP,MatType,Mat*);
627: PETSC_DEPRECATED_FUNCTION("Use KSPComputeOperator() (since version 3.12)") PETSC_STATIC_INLINE PetscErrorCode KSPComputeExplicitOperator(KSP A,Mat* B) { return KSPComputeOperator(A,NULL,B); }
629: /*E
630: KSPCGType - Determines what type of CG to use
632: Level: beginner
634: .seealso: KSPCGSetType()
635: E*/
636: typedef enum {KSP_CG_SYMMETRIC=0,KSP_CG_HERMITIAN=1} KSPCGType;
637: PETSC_EXTERN const char *const KSPCGTypes[];
639: PETSC_EXTERN PetscErrorCode KSPCGSetType(KSP,KSPCGType);
640: PETSC_EXTERN PetscErrorCode KSPCGUseSingleReduction(KSP,PetscBool );
642: PETSC_EXTERN PetscErrorCode KSPCGSetRadius(KSP,PetscReal);
643: PETSC_EXTERN PetscErrorCode KSPCGGetNormD(KSP,PetscReal*);
644: PETSC_EXTERN PetscErrorCode KSPCGGetObjFcn(KSP,PetscReal*);
646: PETSC_EXTERN PetscErrorCode KSPGLTRGetMinEig(KSP,PetscReal*);
647: PETSC_EXTERN PetscErrorCode KSPGLTRGetLambda(KSP,PetscReal*);
648: PETSC_DEPRECATED_FUNCTION("Use KSPGLTRGetMinEig (since v3.12)") PETSC_STATIC_INLINE PetscErrorCode KSPCGGLTRGetMinEig(KSP ksp,PetscReal *x) {return KSPGLTRGetMinEig(ksp,x);}
649: PETSC_DEPRECATED_FUNCTION("Use KSPGLTRGetLambda (since v3.12)") PETSC_STATIC_INLINE PetscErrorCode KSPCGGLTRGetLambda(KSP ksp,PetscReal *x) {return KSPGLTRGetLambda(ksp,x);}
651: PETSC_EXTERN PetscErrorCode KSPPythonSetType(KSP,const char[]);
653: PETSC_EXTERN PetscErrorCode PCPreSolve(PC,KSP);
654: PETSC_EXTERN PetscErrorCode PCPostSolve(PC,KSP);
656: #include <petscdrawtypes.h>
657: PETSC_EXTERN PetscErrorCode KSPMonitorLGResidualNormCreate(MPI_Comm,const char[],const char[],int,int,int,int,PetscDrawLG*);
658: PETSC_EXTERN PetscErrorCode KSPMonitorLGResidualNorm(KSP,PetscInt,PetscReal,void*);
659: PETSC_EXTERN PetscErrorCode KSPMonitorLGTrueResidualNormCreate(MPI_Comm,const char[],const char[],int,int,int,int,PetscDrawLG*);
660: PETSC_EXTERN PetscErrorCode KSPMonitorLGTrueResidualNorm(KSP,PetscInt,PetscReal,void*);
661: PETSC_EXTERN PetscErrorCode KSPMonitorLGRange(KSP,PetscInt,PetscReal,void*);
663: PETSC_EXTERN PetscErrorCode PCShellSetPreSolve(PC,PetscErrorCode (*)(PC,KSP,Vec,Vec));
664: PETSC_EXTERN PetscErrorCode PCShellSetPostSolve(PC,PetscErrorCode (*)(PC,KSP,Vec,Vec));
666: /*S
667: KSPGuess - Abstract PETSc object that manages all initial guess methods in Krylov methods.
669: Level: beginner
671: .seealso: KSPCreate(), KSPSetGuessType(), KSPGuessType
672: S*/
673: typedef struct _p_KSPGuess* KSPGuess;
674: /*J
675: KSPGuessType - String with the name of a PETSc initial guess for Krylov methods.
677: Level: beginner
679: .seealso: KSPGuess
680: J*/
681: typedef const char* KSPGuessType;
682: #define KSPGUESSFISCHER "fischer"
683: #define KSPGUESSPOD "pod"
684: PETSC_EXTERN PetscErrorCode KSPGuessRegister(const char[],PetscErrorCode (*)(KSPGuess));
685: PETSC_EXTERN PetscErrorCode KSPSetGuess(KSP,KSPGuess);
686: PETSC_EXTERN PetscErrorCode KSPGetGuess(KSP,KSPGuess*);
687: PETSC_EXTERN PetscErrorCode KSPGuessView(KSPGuess,PetscViewer);
688: PETSC_EXTERN PetscErrorCode KSPGuessDestroy(KSPGuess*);
689: PETSC_EXTERN PetscErrorCode KSPGuessCreate(MPI_Comm,KSPGuess*);
690: PETSC_EXTERN PetscErrorCode KSPGuessSetType(KSPGuess,KSPGuessType);
691: PETSC_EXTERN PetscErrorCode KSPGuessGetType(KSPGuess,KSPGuessType*);
692: PETSC_EXTERN PetscErrorCode KSPGuessSetUp(KSPGuess);
693: PETSC_EXTERN PetscErrorCode KSPGuessUpdate(KSPGuess,Vec,Vec);
694: PETSC_EXTERN PetscErrorCode KSPGuessFormGuess(KSPGuess,Vec,Vec);
695: PETSC_EXTERN PetscErrorCode KSPGuessSetFromOptions(KSPGuess);
696: PETSC_EXTERN PetscErrorCode KSPGuessFischerSetModel(KSPGuess,PetscInt,PetscInt);
697: PETSC_EXTERN PetscErrorCode KSPSetUseFischerGuess(KSP,PetscInt,PetscInt);
698: PETSC_EXTERN PetscErrorCode KSPSetInitialGuessKnoll(KSP,PetscBool);
699: PETSC_EXTERN PetscErrorCode KSPGetInitialGuessKnoll(KSP,PetscBool*);
701: /*E
702: MatSchurComplementAinvType - Determines how to approximate the inverse of the (0,0) block in Schur complement preconditioning matrix assembly routines
704: Level: intermediate
706: .seealso: MatSchurComplementGetAinvType(), MatSchurComplementSetAinvType(), MatSchurComplementGetPmat(), MatGetSchurComplement(), MatCreateSchurComplementPmat()
707: E*/
708: typedef enum {MAT_SCHUR_COMPLEMENT_AINV_DIAG, MAT_SCHUR_COMPLEMENT_AINV_LUMP, MAT_SCHUR_COMPLEMENT_AINV_BLOCK_DIAG} MatSchurComplementAinvType;
709: PETSC_EXTERN const char *const MatSchurComplementAinvTypes[];
711: typedef enum {MAT_LMVM_SYMBROYDEN_SCALE_NONE = 0,
712: MAT_LMVM_SYMBROYDEN_SCALE_SCALAR = 1,
713: MAT_LMVM_SYMBROYDEN_SCALE_DIAGONAL = 2,
714: MAT_LMVM_SYMBROYDEN_SCALE_USER = 3} MatLMVMSymBroydenScaleType;
715: PETSC_EXTERN const char *const MatLMVMSymBroydenScaleTypes[];
717: PETSC_EXTERN PetscErrorCode MatCreateSchurComplement(Mat,Mat,Mat,Mat,Mat,Mat*);
718: PETSC_EXTERN PetscErrorCode MatSchurComplementGetKSP(Mat,KSP*);
719: PETSC_EXTERN PetscErrorCode MatSchurComplementSetKSP(Mat,KSP);
720: PETSC_EXTERN PetscErrorCode MatSchurComplementSetSubMatrices(Mat,Mat,Mat,Mat,Mat,Mat);
721: PETSC_EXTERN PetscErrorCode MatSchurComplementUpdateSubMatrices(Mat,Mat,Mat,Mat,Mat,Mat);
722: PETSC_EXTERN PetscErrorCode MatSchurComplementGetSubMatrices(Mat,Mat*,Mat*,Mat*,Mat*,Mat*);
723: PETSC_EXTERN PetscErrorCode MatSchurComplementSetAinvType(Mat,MatSchurComplementAinvType);
724: PETSC_EXTERN PetscErrorCode MatSchurComplementGetAinvType(Mat,MatSchurComplementAinvType*);
725: PETSC_EXTERN PetscErrorCode MatSchurComplementGetPmat(Mat,MatReuse,Mat*);
726: PETSC_EXTERN PetscErrorCode MatSchurComplementComputeExplicitOperator(Mat,Mat*);
727: PETSC_EXTERN PetscErrorCode MatGetSchurComplement(Mat,IS,IS,IS,IS,MatReuse,Mat*,MatSchurComplementAinvType,MatReuse,Mat*);
728: PETSC_EXTERN PetscErrorCode MatCreateSchurComplementPmat(Mat,Mat,Mat,Mat,MatSchurComplementAinvType,MatReuse,Mat*);
730: PETSC_EXTERN PetscErrorCode MatCreateLMVMDFP(MPI_Comm,PetscInt,PetscInt,Mat*);
731: PETSC_EXTERN PetscErrorCode MatCreateLMVMBFGS(MPI_Comm,PetscInt,PetscInt,Mat*);
732: PETSC_EXTERN PetscErrorCode MatCreateLMVMSR1(MPI_Comm,PetscInt,PetscInt,Mat*);
733: PETSC_EXTERN PetscErrorCode MatCreateLMVMBroyden(MPI_Comm,PetscInt,PetscInt,Mat*);
734: PETSC_EXTERN PetscErrorCode MatCreateLMVMBadBroyden(MPI_Comm,PetscInt,PetscInt,Mat*);
735: PETSC_EXTERN PetscErrorCode MatCreateLMVMSymBroyden(MPI_Comm,PetscInt,PetscInt,Mat*);
736: PETSC_EXTERN PetscErrorCode MatCreateLMVMSymBadBroyden(MPI_Comm,PetscInt,PetscInt,Mat*);
737: PETSC_EXTERN PetscErrorCode MatCreateLMVMDiagBroyden(MPI_Comm,PetscInt,PetscInt,Mat*);
739: PETSC_EXTERN PetscErrorCode MatLMVMUpdate(Mat, Vec, Vec);
740: PETSC_EXTERN PetscErrorCode MatLMVMIsAllocated(Mat, PetscBool*);
741: PETSC_EXTERN PetscErrorCode MatLMVMAllocate(Mat, Vec, Vec);
742: PETSC_EXTERN PetscErrorCode MatLMVMReset(Mat, PetscBool);
743: PETSC_EXTERN PetscErrorCode MatLMVMResetShift(Mat);
744: PETSC_EXTERN PetscErrorCode MatLMVMClearJ0(Mat);
745: PETSC_EXTERN PetscErrorCode MatLMVMSetJ0(Mat, Mat);
746: PETSC_EXTERN PetscErrorCode MatLMVMSetJ0Scale(Mat, PetscReal);
747: PETSC_EXTERN PetscErrorCode MatLMVMSetJ0Diag(Mat, Vec);
748: PETSC_EXTERN PetscErrorCode MatLMVMSetJ0PC(Mat, PC);
749: PETSC_EXTERN PetscErrorCode MatLMVMSetJ0KSP(Mat, KSP);
750: PETSC_EXTERN PetscErrorCode MatLMVMApplyJ0Fwd(Mat, Vec, Vec);
751: PETSC_EXTERN PetscErrorCode MatLMVMApplyJ0Inv(Mat, Vec, Vec);
752: PETSC_EXTERN PetscErrorCode MatLMVMGetJ0(Mat, Mat*);
753: PETSC_EXTERN PetscErrorCode MatLMVMGetJ0PC(Mat, PC*);
754: PETSC_EXTERN PetscErrorCode MatLMVMGetJ0KSP(Mat, KSP*);
755: PETSC_EXTERN PetscErrorCode MatLMVMSetHistorySize(Mat, PetscInt);
756: PETSC_EXTERN PetscErrorCode MatLMVMGetUpdateCount(Mat, PetscInt*);
757: PETSC_EXTERN PetscErrorCode MatLMVMGetRejectCount(Mat, PetscInt*);
758: PETSC_EXTERN PetscErrorCode MatLMVMSymBroydenSetDelta(Mat, PetscScalar);
759: PETSC_EXTERN PetscErrorCode MatLMVMSymBroydenSetScaleType(Mat, MatLMVMSymBroydenScaleType);
761: PETSC_EXTERN PetscErrorCode KSPSetDM(KSP,DM);
762: PETSC_EXTERN PetscErrorCode KSPSetDMActive(KSP,PetscBool );
763: PETSC_EXTERN PetscErrorCode KSPGetDM(KSP,DM*);
764: PETSC_EXTERN PetscErrorCode KSPSetApplicationContext(KSP,void*);
765: PETSC_EXTERN PetscErrorCode KSPGetApplicationContext(KSP,void*);
766: PETSC_EXTERN PetscErrorCode KSPSetComputeRHS(KSP,PetscErrorCode (*func)(KSP,Vec,void*),void*);
767: PETSC_EXTERN PetscErrorCode KSPSetComputeOperators(KSP,PetscErrorCode(*)(KSP,Mat,Mat,void*),void*);
768: PETSC_EXTERN PetscErrorCode KSPSetComputeInitialGuess(KSP,PetscErrorCode(*)(KSP,Vec,void*),void*);
769: PETSC_EXTERN PetscErrorCode DMKSPSetComputeOperators(DM,PetscErrorCode(*)(KSP,Mat,Mat,void*),void*);
770: PETSC_EXTERN PetscErrorCode DMKSPGetComputeOperators(DM,PetscErrorCode(**)(KSP,Mat,Mat,void*),void*);
771: PETSC_EXTERN PetscErrorCode DMKSPSetComputeRHS(DM,PetscErrorCode(*)(KSP,Vec,void*),void*);
772: PETSC_EXTERN PetscErrorCode DMKSPGetComputeRHS(DM,PetscErrorCode(**)(KSP,Vec,void*),void*);
773: PETSC_EXTERN PetscErrorCode DMKSPSetComputeInitialGuess(DM,PetscErrorCode(*)(KSP,Vec,void*),void*);
774: PETSC_EXTERN PetscErrorCode DMKSPGetComputeInitialGuess(DM,PetscErrorCode(**)(KSP,Vec,void*),void*);
776: PETSC_EXTERN PetscErrorCode DMGlobalToLocalSolve(DM,Vec,Vec);
777: PETSC_EXTERN PetscErrorCode DMProjectField(DM, PetscReal, Vec,
778: void (**)(PetscInt, PetscInt, PetscInt,
779: const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[],
780: const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[],
781: PetscReal, const PetscReal [], PetscInt, const PetscScalar[], PetscScalar []), InsertMode, Vec);
782: #endif