#include /*I "petscsnes.h" I*/ #include PetscBool SNESRegisterAllCalled = PETSC_FALSE; PetscFunctionList SNESList = PETSC_NULL; /* Logging support */ PetscClassId SNES_CLASSID, DMSNES_CLASSID; PetscLogEvent SNES_Solve, SNES_FunctionEval, SNES_JacobianEval, SNES_GSEval, SNES_NPCSolve; #undef __FUNCT__ #define __FUNCT__ "SNESSetErrorIfNotConverged" /*@ SNESSetErrorIfNotConverged - Causes SNESSolve() to generate an error if the solver has not converged. Logically Collective on SNES Input Parameters: + snes - iterative context obtained from SNESCreate() - flg - PETSC_TRUE indicates you want the error generated Options database keys: . -snes_error_if_not_converged : this takes an optional truth value (0/1/no/yes/true/false) Level: intermediate Notes: Normally PETSc continues if a linear solver fails to converge, you can call SNESGetConvergedReason() after a SNESSolve() to determine if it has converged. .keywords: SNES, set, initial guess, nonzero .seealso: SNESGetErrorIfNotConverged(), KSPGetErrorIfNotConverged(), KSPSetErrorIFNotConverged() @*/ PetscErrorCode SNESSetErrorIfNotConverged(SNES snes,PetscBool flg) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidLogicalCollectiveBool(snes,flg,2); snes->errorifnotconverged = flg; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetErrorIfNotConverged" /*@ SNESGetErrorIfNotConverged - Will SNESSolve() generate an error if the solver does not converge? Not Collective Input Parameter: . snes - iterative context obtained from SNESCreate() Output Parameter: . flag - PETSC_TRUE if it will generate an error, else PETSC_FALSE Level: intermediate .keywords: SNES, set, initial guess, nonzero .seealso: SNESSetErrorIfNotConverged(), KSPGetErrorIfNotConverged(), KSPSetErrorIFNotConverged() @*/ PetscErrorCode SNESGetErrorIfNotConverged(SNES snes,PetscBool *flag) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidPointer(flag,2); *flag = snes->errorifnotconverged; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetFunctionDomainError" /*@ SNESSetFunctionDomainError - tells SNES that the input vector to your SNESFunction is not in the functions domain. For example, negative pressure. Logically Collective on SNES Input Parameters: . snes - the SNES context Level: advanced .keywords: SNES, view .seealso: SNESCreate(), SNESSetFunction(), SNESFunction @*/ PetscErrorCode SNESSetFunctionDomainError(SNES snes) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); snes->domainerror = PETSC_TRUE; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetFunctionDomainError" /*@ SNESGetFunctionDomainError - Gets the status of the domain error after a call to SNESComputeFunction; Logically Collective on SNES Input Parameters: . snes - the SNES context Output Parameters: . domainerror - Set to PETSC_TRUE if there's a domain error; PETSC_FALSE otherwise. Level: advanced .keywords: SNES, view .seealso: SNESSetFunctionDomainError(), SNESComputeFunction() @*/ PetscErrorCode SNESGetFunctionDomainError(SNES snes, PetscBool *domainerror) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidPointer(domainerror, 2); *domainerror = snes->domainerror; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESLoad" /*@C SNESLoad - Loads a SNES that has been stored in binary with SNESView(). Collective on PetscViewer Input Parameters: + newdm - the newly loaded SNES, this needs to have been created with SNESCreate() or some related function before a call to SNESLoad(). - viewer - binary file viewer, obtained from PetscViewerBinaryOpen() Level: intermediate Notes: The type is determined by the data in the file, any type set into the SNES before this call is ignored. Notes for advanced users: Most users should not need to know the details of the binary storage format, since SNESLoad() and TSView() completely hide these details. But for anyone who's interested, the standard binary matrix storage format is .vb has not yet been determined .ve .seealso: PetscViewerBinaryOpen(), SNESView(), MatLoad(), VecLoad() @*/ PetscErrorCode SNESLoad(SNES snes, PetscViewer viewer) { PetscErrorCode ierr; PetscBool isbinary; PetscInt classid; char type[256]; KSP ksp; DM dm; DMSNES dmsnes; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidHeaderSpecific(viewer,PETSC_VIEWER_CLASSID,2); ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);CHKERRQ(ierr); if (!isbinary) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Invalid viewer; open viewer with PetscViewerBinaryOpen()"); ierr = PetscViewerBinaryRead(viewer,&classid,1,PETSC_INT);CHKERRQ(ierr); if (classid != SNES_FILE_CLASSID) SETERRQ(((PetscObject)snes)->comm,PETSC_ERR_ARG_WRONG,"Not SNES next in file"); ierr = PetscViewerBinaryRead(viewer,type,256,PETSC_CHAR);CHKERRQ(ierr); ierr = SNESSetType(snes, type);CHKERRQ(ierr); if (snes->ops->load) { ierr = (*snes->ops->load)(snes,viewer);CHKERRQ(ierr); } ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMGetDMSNES(dm,&dmsnes);CHKERRQ(ierr); ierr = DMSNESLoad(dmsnes,viewer);CHKERRQ(ierr); ierr = SNESGetKSP(snes,&ksp);CHKERRQ(ierr); ierr = KSPLoad(ksp,viewer);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESView" /*@C SNESView - Prints the SNES data structure. Collective on SNES Input Parameters: + SNES - the SNES context - viewer - visualization context Options Database Key: . -snes_view - Calls SNESView() at end of SNESSolve() Notes: The available visualization contexts include + PETSC_VIEWER_STDOUT_SELF - standard output (default) - PETSC_VIEWER_STDOUT_WORLD - synchronized standard output where only the first processor opens the file. All other processors send their data to the first processor to print. The user can open an alternative visualization context with PetscViewerASCIIOpen() - output to a specified file. Level: beginner .keywords: SNES, view .seealso: PetscViewerASCIIOpen() @*/ PetscErrorCode SNESView(SNES snes,PetscViewer viewer) { SNESKSPEW *kctx; PetscErrorCode ierr; KSP ksp; SNESLineSearch linesearch; PetscBool iascii,isstring,isbinary,isdraw; DMSNES dmsnes; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (!viewer) { ierr = PetscViewerASCIIGetStdout(((PetscObject)snes)->comm,&viewer);CHKERRQ(ierr); } PetscValidHeaderSpecific(viewer,PETSC_VIEWER_CLASSID,2); PetscCheckSameComm(snes,1,viewer,2); ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERSTRING,&isstring);CHKERRQ(ierr); ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);CHKERRQ(ierr); ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);CHKERRQ(ierr); if (iascii) { ierr = PetscObjectPrintClassNamePrefixType((PetscObject)snes,viewer,"SNES Object");CHKERRQ(ierr); if (snes->ops->view) { ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); ierr = (*snes->ops->view)(snes,viewer);CHKERRQ(ierr); ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); } ierr = PetscViewerASCIIPrintf(viewer," maximum iterations=%D, maximum function evaluations=%D\n",snes->max_its,snes->max_funcs);CHKERRQ(ierr); ierr = PetscViewerASCIIPrintf(viewer," tolerances: relative=%G, absolute=%G, solution=%G\n",snes->rtol,snes->abstol,snes->stol);CHKERRQ(ierr); ierr = PetscViewerASCIIPrintf(viewer," total number of linear solver iterations=%D\n",snes->linear_its);CHKERRQ(ierr); ierr = PetscViewerASCIIPrintf(viewer," total number of function evaluations=%D\n",snes->nfuncs);CHKERRQ(ierr); if (snes->gridsequence) { ierr = PetscViewerASCIIPrintf(viewer," total number of grid sequence refinements=%D\n",snes->gridsequence);CHKERRQ(ierr); } if (snes->ksp_ewconv) { kctx = (SNESKSPEW*)snes->kspconvctx; if (kctx) { ierr = PetscViewerASCIIPrintf(viewer," Eisenstat-Walker computation of KSP relative tolerance (version %D)\n",kctx->version);CHKERRQ(ierr); ierr = PetscViewerASCIIPrintf(viewer," rtol_0=%G, rtol_max=%G, threshold=%G\n",kctx->rtol_0,kctx->rtol_max,kctx->threshold);CHKERRQ(ierr); ierr = PetscViewerASCIIPrintf(viewer," gamma=%G, alpha=%G, alpha2=%G\n",kctx->gamma,kctx->alpha,kctx->alpha2);CHKERRQ(ierr); } } if (snes->lagpreconditioner == -1) { ierr = PetscViewerASCIIPrintf(viewer," Preconditioned is never rebuilt\n");CHKERRQ(ierr); } else if (snes->lagpreconditioner > 1) { ierr = PetscViewerASCIIPrintf(viewer," Preconditioned is rebuilt every %D new Jacobians\n",snes->lagpreconditioner);CHKERRQ(ierr); } if (snes->lagjacobian == -1) { ierr = PetscViewerASCIIPrintf(viewer," Jacobian is never rebuilt\n");CHKERRQ(ierr); } else if (snes->lagjacobian > 1) { ierr = PetscViewerASCIIPrintf(viewer," Jacobian is rebuilt every %D SNES iterations\n",snes->lagjacobian);CHKERRQ(ierr); } } else if (isstring) { const char *type; ierr = SNESGetType(snes,&type);CHKERRQ(ierr); ierr = PetscViewerStringSPrintf(viewer," %-3.3s",type);CHKERRQ(ierr); } else if (isbinary) { PetscInt classid = SNES_FILE_CLASSID; MPI_Comm comm; PetscMPIInt rank; char type[256]; ierr = PetscObjectGetComm((PetscObject)snes,&comm);CHKERRQ(ierr); ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); if (!rank) { ierr = PetscViewerBinaryWrite(viewer,&classid,1,PETSC_INT,PETSC_FALSE);CHKERRQ(ierr); ierr = PetscStrncpy(type,((PetscObject)snes)->type_name,256);CHKERRQ(ierr); ierr = PetscViewerBinaryWrite(viewer,type,256,PETSC_CHAR,PETSC_FALSE);CHKERRQ(ierr); } if (snes->ops->view) { ierr = (*snes->ops->view)(snes,viewer);CHKERRQ(ierr); } } else if (isdraw) { PetscDraw draw; char str[36]; PetscReal x,y,bottom,h; ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); ierr = PetscDrawGetCurrentPoint(draw,&x,&y);CHKERRQ(ierr); ierr = PetscStrcpy(str,"SNES: ");CHKERRQ(ierr); ierr = PetscStrcat(str,((PetscObject)snes)->type_name);CHKERRQ(ierr); ierr = PetscDrawBoxedString(draw,x,y,PETSC_DRAW_BLUE,PETSC_DRAW_BLACK,str,PETSC_NULL,&h);CHKERRQ(ierr); bottom = y - h; ierr = PetscDrawPushCurrentPoint(draw,x,bottom);CHKERRQ(ierr); if (snes->ops->view) { ierr = (*snes->ops->view)(snes,viewer);CHKERRQ(ierr); } } if (snes->linesearch) { ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); ierr = SNESGetSNESLineSearch(snes, &linesearch);CHKERRQ(ierr); ierr = SNESLineSearchView(linesearch, viewer);CHKERRQ(ierr); ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); } if (snes->pc && snes->usespc) { ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); ierr = SNESView(snes->pc, viewer);CHKERRQ(ierr); ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); } ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); ierr = DMGetDMSNES(snes->dm,&dmsnes);CHKERRQ(ierr); ierr = DMSNESView(dmsnes, viewer);CHKERRQ(ierr); ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); if (snes->usesksp) { ierr = SNESGetKSP(snes,&ksp);CHKERRQ(ierr); ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); ierr = KSPView(ksp,viewer);CHKERRQ(ierr); ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); } if (isdraw) { PetscDraw draw; ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); ierr = PetscDrawPopCurrentPoint(draw);CHKERRQ(ierr); } PetscFunctionReturn(0); } /* We retain a list of functions that also take SNES command line options. These are called at the end SNESSetFromOptions() */ #define MAXSETFROMOPTIONS 5 static PetscInt numberofsetfromoptions; static PetscErrorCode (*othersetfromoptions[MAXSETFROMOPTIONS])(SNES); #undef __FUNCT__ #define __FUNCT__ "SNESAddOptionsChecker" /*@C SNESAddOptionsChecker - Adds an additional function to check for SNES options. Not Collective Input Parameter: . snescheck - function that checks for options Level: developer .seealso: SNESSetFromOptions() @*/ PetscErrorCode SNESAddOptionsChecker(PetscErrorCode (*snescheck)(SNES)) { PetscFunctionBegin; if (numberofsetfromoptions >= MAXSETFROMOPTIONS) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE, "Too many options checkers, only %D allowed", MAXSETFROMOPTIONS); othersetfromoptions[numberofsetfromoptions++] = snescheck; PetscFunctionReturn(0); } extern PetscErrorCode SNESDefaultMatrixFreeCreate2(SNES,Vec,Mat*); #undef __FUNCT__ #define __FUNCT__ "SNESSetUpMatrixFree_Private" static PetscErrorCode SNESSetUpMatrixFree_Private(SNES snes, PetscBool hasOperator, PetscInt version) { Mat J; KSP ksp; PC pc; PetscBool match; PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (!snes->vec_func && (snes->jacobian || snes->jacobian_pre)) { Mat A = snes->jacobian, B = snes->jacobian_pre; ierr = MatGetVecs(A ? A : B, PETSC_NULL,&snes->vec_func);CHKERRQ(ierr); } if (version == 1) { ierr = MatCreateSNESMF(snes,&J);CHKERRQ(ierr); ierr = MatMFFDSetOptionsPrefix(J,((PetscObject)snes)->prefix);CHKERRQ(ierr); ierr = MatSetFromOptions(J);CHKERRQ(ierr); } else if (version == 2) { if (!snes->vec_func) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"SNESSetFunction() must be called first"); #if !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_REAL_SINGLE) && !defined(PETSC_USE_REAL___FLOAT128) ierr = SNESDefaultMatrixFreeCreate2(snes,snes->vec_func,&J);CHKERRQ(ierr); #else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP, "matrix-free operator rutines (version 2)"); #endif } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE, "matrix-free operator rutines, only version 1 and 2"); ierr = PetscInfo1(snes,"Setting default matrix-free operator routines (version %D)\n", version);CHKERRQ(ierr); if (hasOperator) { /* This version replaces the user provided Jacobian matrix with a matrix-free version but still employs the user-provided preconditioner matrix. */ ierr = SNESSetJacobian(snes,J,0,0,0);CHKERRQ(ierr); } else { /* This version replaces both the user-provided Jacobian and the user- provided preconditioner Jacobian with the default matrix free version. */ if ((snes->pcside == PC_LEFT) && snes->pc) { ierr = SNESSetJacobian(snes,J,0,0,0);CHKERRQ(ierr); } else { ierr = SNESSetJacobian(snes,J,J,MatMFFDComputeJacobian,0);CHKERRQ(ierr); } /* Force no preconditioner */ ierr = SNESGetKSP(snes,&ksp);CHKERRQ(ierr); ierr = KSPGetPC(ksp,&pc);CHKERRQ(ierr); ierr = PetscObjectTypeCompare((PetscObject)pc,PCSHELL,&match);CHKERRQ(ierr); if (!match) { ierr = PetscInfo(snes,"Setting default matrix-free preconditioner routines\nThat is no preconditioner is being used\n");CHKERRQ(ierr); ierr = PCSetType(pc,PCNONE);CHKERRQ(ierr); } } ierr = MatDestroy(&J);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "DMRestrictHook_SNESVecSol" static PetscErrorCode DMRestrictHook_SNESVecSol(DM dmfine,Mat Restrict,Vec Rscale,Mat Inject,DM dmcoarse,void *ctx) { SNES snes = (SNES)ctx; PetscErrorCode ierr; Vec Xfine,Xfine_named = PETSC_NULL,Xcoarse; PetscFunctionBegin; if (PetscLogPrintInfo) { PetscInt finelevel,coarselevel,fineclevel,coarseclevel; ierr = DMGetRefineLevel(dmfine,&finelevel);CHKERRQ(ierr); ierr = DMGetCoarsenLevel(dmfine,&fineclevel);CHKERRQ(ierr); ierr = DMGetRefineLevel(dmcoarse,&coarselevel);CHKERRQ(ierr); ierr = DMGetCoarsenLevel(dmcoarse,&coarseclevel);CHKERRQ(ierr); ierr = PetscInfo4(dmfine,"Restricting SNES solution vector from level %D-%D to level %D-%D\n",finelevel,fineclevel,coarselevel,coarseclevel);CHKERRQ(ierr); } if (dmfine == snes->dm) Xfine = snes->vec_sol; else { ierr = DMGetNamedGlobalVector(dmfine,"SNESVecSol",&Xfine_named);CHKERRQ(ierr); Xfine = Xfine_named; } ierr = DMGetNamedGlobalVector(dmcoarse,"SNESVecSol",&Xcoarse);CHKERRQ(ierr); ierr = MatRestrict(Restrict,Xfine,Xcoarse);CHKERRQ(ierr); ierr = VecPointwiseMult(Xcoarse,Xcoarse,Rscale);CHKERRQ(ierr); ierr = DMRestoreNamedGlobalVector(dmcoarse,"SNESVecSol",&Xcoarse);CHKERRQ(ierr); if (Xfine_named) {ierr = DMRestoreNamedGlobalVector(dmfine,"SNESVecSol",&Xfine_named);CHKERRQ(ierr);} PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "DMCoarsenHook_SNESVecSol" static PetscErrorCode DMCoarsenHook_SNESVecSol(DM dm,DM dmc,void *ctx) { PetscErrorCode ierr; PetscFunctionBegin; ierr = DMCoarsenHookAdd(dmc,DMCoarsenHook_SNESVecSol,DMRestrictHook_SNESVecSol,ctx);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "KSPComputeOperators_SNES" /* This may be called to rediscretize the operator on levels of linear multigrid. The DM shuffle is so the user can * safely call SNESGetDM() in their residual evaluation routine. */ static PetscErrorCode KSPComputeOperators_SNES(KSP ksp,Mat A,Mat B,MatStructure *mstruct,void *ctx) { SNES snes = (SNES)ctx; PetscErrorCode ierr; Mat Asave = A,Bsave = B; Vec X,Xnamed = PETSC_NULL; DM dmsave; void *ctxsave; PetscErrorCode (*jac)(SNES,Vec,Mat*,Mat*,MatStructure*,void*); PetscFunctionBegin; dmsave = snes->dm; ierr = KSPGetDM(ksp,&snes->dm);CHKERRQ(ierr); if (dmsave == snes->dm) X = snes->vec_sol; /* We are on the finest level */ else { /* We are on a coarser level, this vec was initialized using a DM restrict hook */ ierr = DMGetNamedGlobalVector(snes->dm,"SNESVecSol",&Xnamed);CHKERRQ(ierr); X = Xnamed; ierr = SNESGetJacobian(snes,PETSC_NULL,PETSC_NULL,&jac,&ctxsave);CHKERRQ(ierr); /* If the DM's don't match up, the MatFDColoring context needed for the jacobian won't match up either -- fixit. */ if (jac == SNESDefaultComputeJacobianColor) { ierr = SNESSetJacobian(snes,PETSC_NULL,PETSC_NULL,SNESDefaultComputeJacobianColor,0);CHKERRQ(ierr); } } /* put the previous context back */ ierr = SNESComputeJacobian(snes,X,&A,&B,mstruct);CHKERRQ(ierr); if (snes->dm != dmsave && jac == SNESDefaultComputeJacobianColor) { ierr = SNESSetJacobian(snes,PETSC_NULL,PETSC_NULL,jac,ctxsave);CHKERRQ(ierr); } if (A != Asave || B != Bsave) SETERRQ(((PetscObject)snes)->comm,PETSC_ERR_SUP,"No support for changing matrices at this time"); if (Xnamed) { ierr = DMRestoreNamedGlobalVector(snes->dm,"SNESVecSol",&Xnamed);CHKERRQ(ierr); } snes->dm = dmsave; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetUpMatrices" /*@ SNESSetUpMatrices - ensures that matrices are available for SNES, to be called by SNESSetUp_XXX() Collective Input Arguments: . snes - snes to configure Level: developer .seealso: SNESSetUp() @*/ PetscErrorCode SNESSetUpMatrices(SNES snes) { PetscErrorCode ierr; DM dm; DMSNES sdm; PetscFunctionBegin; ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMGetDMSNES(dm,&sdm);CHKERRQ(ierr); if (!sdm->ops->computejacobian) SETERRQ(((PetscObject)snes)->comm,PETSC_ERR_PLIB,"DMSNES not properly configured"); else if (!snes->jacobian && snes->mf) { Mat J; void *functx; ierr = MatCreateSNESMF(snes,&J);CHKERRQ(ierr); ierr = MatMFFDSetOptionsPrefix(J,((PetscObject)snes)->prefix);CHKERRQ(ierr); ierr = MatSetFromOptions(J);CHKERRQ(ierr); ierr = SNESGetFunction(snes,PETSC_NULL,PETSC_NULL,&functx);CHKERRQ(ierr); ierr = SNESSetJacobian(snes,J,J,0,0);CHKERRQ(ierr); ierr = MatDestroy(&J);CHKERRQ(ierr); } else if (snes->mf_operator && !snes->jacobian_pre && !snes->jacobian) { Mat J,B; ierr = MatCreateSNESMF(snes,&J);CHKERRQ(ierr); ierr = MatMFFDSetOptionsPrefix(J,((PetscObject)snes)->prefix);CHKERRQ(ierr); ierr = MatSetFromOptions(J);CHKERRQ(ierr); ierr = DMCreateMatrix(snes->dm,MATAIJ,&B);CHKERRQ(ierr); /* sdm->computejacobian was already set to reach here */ ierr = SNESSetJacobian(snes,J,B,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); ierr = MatDestroy(&J);CHKERRQ(ierr); ierr = MatDestroy(&B);CHKERRQ(ierr); } else if (!snes->jacobian_pre) { Mat J,B; J = snes->jacobian; ierr = DMCreateMatrix(snes->dm,MATAIJ,&B);CHKERRQ(ierr); ierr = SNESSetJacobian(snes,J ? J : B,B,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); ierr = MatDestroy(&B);CHKERRQ(ierr); } { KSP ksp; ierr = SNESGetKSP(snes,&ksp);CHKERRQ(ierr); ierr = KSPSetComputeOperators(ksp,KSPComputeOperators_SNES,snes);CHKERRQ(ierr); ierr = DMCoarsenHookAdd(snes->dm,DMCoarsenHook_SNESVecSol,DMRestrictHook_SNESVecSol,snes);CHKERRQ(ierr); } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetFromOptions" /*@ SNESSetFromOptions - Sets various SNES and KSP parameters from user options. Collective on SNES Input Parameter: . snes - the SNES context Options Database Keys: + -snes_type - ls, tr, ngmres, ncg, richardson, qn, vi, fas . -snes_stol - convergence tolerance in terms of the norm of the change in the solution between steps . -snes_atol - absolute tolerance of residual norm . -snes_rtol - relative decrease in tolerance norm from initial . -snes_max_it - maximum number of iterations . -snes_max_funcs - maximum number of function evaluations . -snes_max_fail - maximum number of line search failures allowed before stopping, default is none . -snes_max_linear_solve_fail - number of linear solver failures before SNESSolve() stops . -snes_lag_preconditioner - how often preconditioner is rebuilt (use -1 to never rebuild) . -snes_lag_jacobian - how often Jacobian is rebuilt (use -1 to never rebuild) . -snes_trtol - trust region tolerance . -snes_no_convergence_test - skip convergence test in nonlinear solver; hence iterations will continue until max_it or some other criterion is reached. Saves expense of convergence test . -snes_monitor - prints residual norm at each iteration. if no filename given prints to stdout . -snes_monitor_solution - plots solution at each iteration . -snes_monitor_residual - plots residual (not its norm) at each iteration . -snes_monitor_solution_update - plots update to solution at each iteration . -snes_monitor_lg_residualnorm - plots residual norm at each iteration . -snes_monitor_lg_range - plots residual norm at each iteration . -snes_fd - use finite differences to compute Jacobian; very slow, only for testing . -snes_fd_color - use finite differences with coloring to compute Jacobian . -snes_mf_ksp_monitor - if using matrix-free multiply then print h at each KSP iteration - -snes_converged_reason - print the reason for convergence/divergence after each solve Options Database for Eisenstat-Walker method: + -snes_ksp_ew - use Eisenstat-Walker method for determining linear system convergence . -snes_ksp_ew_version ver - version of Eisenstat-Walker method . -snes_ksp_ew_rtol0 - Sets rtol0 . -snes_ksp_ew_rtolmax - Sets rtolmax . -snes_ksp_ew_gamma - Sets gamma . -snes_ksp_ew_alpha - Sets alpha . -snes_ksp_ew_alpha2 - Sets alpha2 - -snes_ksp_ew_threshold - Sets threshold Notes: To see all options, run your program with the -help option or consult the SNES chapter of the users manual. Level: beginner .keywords: SNES, nonlinear, set, options, database .seealso: SNESSetOptionsPrefix() @*/ PetscErrorCode SNESSetFromOptions(SNES snes) { PetscBool flg,pcset; PetscInt i,indx,lag,grids; MatStructure matflag; const char *deft = SNESNEWTONLS; const char *convtests[] = {"default","skip"}; SNESKSPEW *kctx = NULL; char type[256], monfilename[PETSC_MAX_PATH_LEN]; PetscViewer monviewer; PetscErrorCode ierr; PCSide pcside; const char *optionsprefix; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (!SNESRegisterAllCalled) {ierr = SNESRegisterAll(PETSC_NULL);CHKERRQ(ierr);} ierr = PetscObjectOptionsBegin((PetscObject)snes);CHKERRQ(ierr); if (((PetscObject)snes)->type_name) deft = ((PetscObject)snes)->type_name; ierr = PetscOptionsList("-snes_type","Nonlinear solver method","SNESSetType",SNESList,deft,type,256,&flg);CHKERRQ(ierr); if (flg) { ierr = SNESSetType(snes,type);CHKERRQ(ierr); } else if (!((PetscObject)snes)->type_name) { ierr = SNESSetType(snes,deft);CHKERRQ(ierr); } /* not used here, but called so will go into help messaage */ ierr = PetscOptionsName("-snes_view","Print detailed information on solver used","SNESView",0);CHKERRQ(ierr); ierr = PetscOptionsReal("-snes_stol","Stop if step length less than","SNESSetTolerances",snes->stol,&snes->stol,0);CHKERRQ(ierr); ierr = PetscOptionsReal("-snes_atol","Stop if function norm less than","SNESSetTolerances",snes->abstol,&snes->abstol,0);CHKERRQ(ierr); ierr = PetscOptionsReal("-snes_rtol","Stop if decrease in function norm less than","SNESSetTolerances",snes->rtol,&snes->rtol,0);CHKERRQ(ierr); ierr = PetscOptionsInt("-snes_max_it","Maximum iterations","SNESSetTolerances",snes->max_its,&snes->max_its,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsInt("-snes_max_funcs","Maximum function evaluations","SNESSetTolerances",snes->max_funcs,&snes->max_funcs,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsInt("-snes_max_fail","Maximum nonlinear step failures","SNESSetMaxNonlinearStepFailures",snes->maxFailures,&snes->maxFailures,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsInt("-snes_max_linear_solve_fail","Maximum failures in linear solves allowed","SNESSetMaxLinearSolveFailures",snes->maxLinearSolveFailures,&snes->maxLinearSolveFailures,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsBool("-snes_error_if_not_converged","Generate error if solver does not converge","SNESSetErrorIfNotConverged",snes->errorifnotconverged,&snes->errorifnotconverged,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsInt("-snes_lag_preconditioner","How often to rebuild preconditioner","SNESSetLagPreconditioner",snes->lagpreconditioner,&lag,&flg);CHKERRQ(ierr); if (flg) { ierr = SNESSetLagPreconditioner(snes,lag);CHKERRQ(ierr); } ierr = PetscOptionsInt("-snes_lag_jacobian","How often to rebuild Jacobian","SNESSetLagJacobian",snes->lagjacobian,&lag,&flg);CHKERRQ(ierr); if (flg) { ierr = SNESSetLagJacobian(snes,lag);CHKERRQ(ierr); } ierr = PetscOptionsInt("-snes_grid_sequence","Use grid sequencing to generate initial guess","SNESSetGridSequence",snes->gridsequence,&grids,&flg);CHKERRQ(ierr); if (flg) { ierr = SNESSetGridSequence(snes,grids);CHKERRQ(ierr); } ierr = PetscOptionsEList("-snes_convergence_test","Convergence test","SNESSetConvergenceTest",convtests,2,"default",&indx,&flg);CHKERRQ(ierr); if (flg) { switch (indx) { case 0: ierr = SNESSetConvergenceTest(snes,SNESDefaultConverged,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); break; case 1: ierr = SNESSetConvergenceTest(snes,SNESSkipConverged,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); break; } } ierr = PetscOptionsBool("-snes_converged_reason","Print reason for converged or diverged","SNESSolve",snes->printreason,&snes->printreason,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsEList("-snes_norm_type","SNES Norm type","SNESSetNormType",SNESNormTypes,5,"function",&indx,&flg);CHKERRQ(ierr); if (flg) { ierr = SNESSetNormType(snes,(SNESNormType)indx);CHKERRQ(ierr); } kctx = (SNESKSPEW*)snes->kspconvctx; ierr = PetscOptionsBool("-snes_ksp_ew","Use Eisentat-Walker linear system convergence test","SNESKSPSetUseEW",snes->ksp_ewconv,&snes->ksp_ewconv,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsInt("-snes_ksp_ew_version","Version 1, 2 or 3","SNESKSPSetParametersEW",kctx->version,&kctx->version,0);CHKERRQ(ierr); ierr = PetscOptionsReal("-snes_ksp_ew_rtol0","0 <= rtol0 < 1","SNESKSPSetParametersEW",kctx->rtol_0,&kctx->rtol_0,0);CHKERRQ(ierr); ierr = PetscOptionsReal("-snes_ksp_ew_rtolmax","0 <= rtolmax < 1","SNESKSPSetParametersEW",kctx->rtol_max,&kctx->rtol_max,0);CHKERRQ(ierr); ierr = PetscOptionsReal("-snes_ksp_ew_gamma","0 <= gamma <= 1","SNESKSPSetParametersEW",kctx->gamma,&kctx->gamma,0);CHKERRQ(ierr); ierr = PetscOptionsReal("-snes_ksp_ew_alpha","1 < alpha <= 2","SNESKSPSetParametersEW",kctx->alpha,&kctx->alpha,0);CHKERRQ(ierr); ierr = PetscOptionsReal("-snes_ksp_ew_alpha2","alpha2","SNESKSPSetParametersEW",kctx->alpha2,&kctx->alpha2,0);CHKERRQ(ierr); ierr = PetscOptionsReal("-snes_ksp_ew_threshold","0 < threshold < 1","SNESKSPSetParametersEW",kctx->threshold,&kctx->threshold,0);CHKERRQ(ierr); flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_check_jacobian","Check each Jacobian with a differenced one","SNESUpdateCheckJacobian",flg,&flg,PETSC_NULL);CHKERRQ(ierr); if (flg) { ierr = SNESSetUpdate(snes,SNESUpdateCheckJacobian);CHKERRQ(ierr); } flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_monitor_cancel","Remove all monitors","SNESMonitorCancel",flg,&flg,PETSC_NULL);CHKERRQ(ierr); if (flg) {ierr = SNESMonitorCancel(snes);CHKERRQ(ierr);} ierr = PetscOptionsString("-snes_monitor","Monitor norm of function","SNESMonitorSet","stdout",monfilename,PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr); if (flg) { ierr = PetscViewerASCIIOpen(((PetscObject)snes)->comm,monfilename,&monviewer);CHKERRQ(ierr); ierr = SNESMonitorSet(snes,SNESMonitorDefault,monviewer,(PetscErrorCode (*)(void**))PetscViewerDestroy);CHKERRQ(ierr); } ierr = PetscOptionsString("-snes_monitor_range","Monitor range of elements of function","SNESMonitorSet","stdout",monfilename,PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr); if (flg) { ierr = SNESMonitorSet(snes,SNESMonitorRange,0,0);CHKERRQ(ierr); } ierr = PetscOptionsString("-snes_ratiomonitor","Monitor ratios of norms of function","SNESMonitorSetRatio","stdout",monfilename,PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr); if (flg) { ierr = PetscViewerASCIIOpen(((PetscObject)snes)->comm,monfilename,&monviewer);CHKERRQ(ierr); ierr = SNESMonitorSetRatio(snes,monviewer);CHKERRQ(ierr); } ierr = PetscOptionsString("-snes_monitor_short","Monitor norm of function (fewer digits)","SNESMonitorSet","stdout",monfilename,PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr); if (flg) { ierr = PetscViewerASCIIOpen(((PetscObject)snes)->comm,monfilename,&monviewer);CHKERRQ(ierr); ierr = SNESMonitorSet(snes,SNESMonitorDefaultShort,monviewer,(PetscErrorCode (*)(void**))PetscViewerDestroy);CHKERRQ(ierr); } ierr = PetscOptionsString("-snes_monitor_python","Use Python function","SNESMonitorSet",0,monfilename,PETSC_MAX_PATH_LEN,&flg);CHKERRQ(ierr); if (flg) {ierr = PetscPythonMonitorSet((PetscObject)snes,monfilename);CHKERRQ(ierr);} flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_monitor_solution","Plot solution at each iteration","SNESMonitorSolution",flg,&flg,PETSC_NULL);CHKERRQ(ierr); if (flg) {ierr = SNESMonitorSet(snes,SNESMonitorSolution,0,0);CHKERRQ(ierr);} flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_monitor_solution_update","Plot correction at each iteration","SNESMonitorSolutionUpdate",flg,&flg,PETSC_NULL);CHKERRQ(ierr); if (flg) {ierr = SNESMonitorSet(snes,SNESMonitorSolutionUpdate,0,0);CHKERRQ(ierr);} flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_monitor_residual","Plot residual at each iteration","SNESMonitorResidual",flg,&flg,PETSC_NULL);CHKERRQ(ierr); if (flg) {ierr = SNESMonitorSet(snes,SNESMonitorResidual,0,0);CHKERRQ(ierr);} flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_monitor_lg_residualnorm","Plot function norm at each iteration","SNESMonitorLGResidualNorm",flg,&flg,PETSC_NULL);CHKERRQ(ierr); if (flg) { PetscDrawLG ctx; ierr = SNESMonitorLGCreate(0,0,PETSC_DECIDE,PETSC_DECIDE,300,300,&ctx);CHKERRQ(ierr); ierr = SNESMonitorSet(snes,SNESMonitorLGResidualNorm,ctx,(PetscErrorCode (*)(void**))SNESMonitorLGDestroy);CHKERRQ(ierr); } flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_monitor_lg_range","Plot function range at each iteration","SNESMonitorLGRange",flg,&flg,PETSC_NULL);CHKERRQ(ierr); if (flg) { PetscViewer ctx; ierr = PetscViewerDrawOpen(((PetscObject)snes)->comm,0,0,PETSC_DECIDE,PETSC_DECIDE,300,300,&ctx);CHKERRQ(ierr); ierr = SNESMonitorSet(snes,SNESMonitorLGRange,ctx,(PetscErrorCode (*)(void**))PetscViewerDestroy);CHKERRQ(ierr); } flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_monitor_jacupdate_spectrum","Print the change in the spectrum of the Jacobian","SNESMonitorJacUpdateSpectrum",flg,&flg,PETSC_NULL);CHKERRQ(ierr); if (flg) {ierr = SNESMonitorSet(snes,SNESMonitorJacUpdateSpectrum,0,0);CHKERRQ(ierr);} flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_fd","Use finite differences (slow) to compute Jacobian","SNESDefaultComputeJacobian",flg,&flg,PETSC_NULL);CHKERRQ(ierr); if (flg) { void *functx; ierr = SNESGetFunction(snes,PETSC_NULL,PETSC_NULL,&functx);CHKERRQ(ierr); ierr = SNESSetJacobian(snes,snes->jacobian,snes->jacobian_pre,SNESDefaultComputeJacobian,functx);CHKERRQ(ierr); ierr = PetscInfo(snes,"Setting default finite difference Jacobian matrix\n");CHKERRQ(ierr); } flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_fd_function","Use finite differences (slow) to compute function from user objective","SNESDefaultObjectiveComputeFunctionFD",flg,&flg,PETSC_NULL);CHKERRQ(ierr); if (flg) { ierr = SNESSetFunction(snes,PETSC_NULL,SNESDefaultObjectiveComputeFunctionFD,PETSC_NULL);CHKERRQ(ierr); } flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_fd_color","Use finite differences with coloring to compute Jacobian","SNESDefaultComputeJacobianColor",flg,&flg,PETSC_NULL);CHKERRQ(ierr); if (flg) { void *functx; ierr = SNESGetFunction(snes,PETSC_NULL,PETSC_NULL,&functx);CHKERRQ(ierr); ierr = SNESSetJacobian(snes,snes->jacobian,snes->jacobian_pre,SNESDefaultComputeJacobianColor,0);CHKERRQ(ierr); ierr = PetscInfo(snes,"Setting default finite difference coloring Jacobian matrix\n");CHKERRQ(ierr); } flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_mf_operator","Use a Matrix-Free Jacobian with user-provided preconditioner matrix","MatCreateSNESMF",PETSC_FALSE,&snes->mf_operator,&flg);CHKERRQ(ierr); if (flg && snes->mf_operator) { snes->mf_operator = PETSC_TRUE; snes->mf = PETSC_TRUE; } flg = PETSC_FALSE; ierr = PetscOptionsBool("-snes_mf","Use a Matrix-Free Jacobian with no preconditioner matrix","MatCreateSNESMF",PETSC_FALSE,&snes->mf,&flg);CHKERRQ(ierr); if (!flg && snes->mf_operator) snes->mf = PETSC_TRUE; ierr = PetscOptionsInt("-snes_mf_version","Matrix-Free routines version 1 or 2","None",snes->mf_version,&snes->mf_version,0);CHKERRQ(ierr); flg = PETSC_FALSE; ierr = SNESGetPCSide(snes,&pcside);CHKERRQ(ierr); ierr = PetscOptionsEnum("-snes_npc_side","SNES nonlinear preconditioner side","SNESSetPCSide",PCSides,(PetscEnum)pcside,(PetscEnum*)&pcside,&flg);CHKERRQ(ierr); if (flg) {ierr = SNESSetPCSide(snes,pcside);CHKERRQ(ierr);} for (i = 0; i < numberofsetfromoptions; i++) { ierr = (*othersetfromoptions[i])(snes);CHKERRQ(ierr); } if (snes->ops->setfromoptions) { ierr = (*snes->ops->setfromoptions)(snes);CHKERRQ(ierr); } /* process any options handlers added with PetscObjectAddOptionsHandler() */ ierr = PetscObjectProcessOptionsHandlers((PetscObject)snes);CHKERRQ(ierr); ierr = PetscOptionsEnd();CHKERRQ(ierr); if (!snes->ksp) {ierr = SNESGetKSP(snes,&snes->ksp);CHKERRQ(ierr);} ierr = KSPGetOperators(snes->ksp,PETSC_NULL,PETSC_NULL,&matflag);CHKERRQ(ierr); ierr = KSPSetOperators(snes->ksp,snes->jacobian,snes->jacobian_pre,matflag);CHKERRQ(ierr); ierr = KSPSetFromOptions(snes->ksp);CHKERRQ(ierr); if (!snes->linesearch) { ierr = SNESGetSNESLineSearch(snes, &snes->linesearch);CHKERRQ(ierr); } ierr = SNESLineSearchSetFromOptions(snes->linesearch);CHKERRQ(ierr); /* if someone has set the SNES PC type, create it. */ ierr = SNESGetOptionsPrefix(snes, &optionsprefix);CHKERRQ(ierr); ierr = PetscOptionsHasName(optionsprefix, "-npc_snes_type", &pcset);CHKERRQ(ierr); if (pcset && (!snes->pc)) { ierr = SNESGetPC(snes, &snes->pc);CHKERRQ(ierr); } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetComputeApplicationContext" /*@ SNESSetComputeApplicationContext - Sets an optional function to compute a user-defined context for the nonlinear solvers. Logically Collective on SNES Input Parameters: + snes - the SNES context . compute - function to compute the context - destroy - function to destroy the context Level: intermediate .keywords: SNES, nonlinear, set, application, context .seealso: SNESGetApplicationContext(), SNESSetComputeApplicationContext(), SNESGetApplicationContext() @*/ PetscErrorCode SNESSetComputeApplicationContext(SNES snes,PetscErrorCode (*compute)(SNES,void**),PetscErrorCode (*destroy)(void**)) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); snes->ops->usercompute = compute; snes->ops->userdestroy = destroy; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetApplicationContext" /*@ SNESSetApplicationContext - Sets the optional user-defined context for the nonlinear solvers. Logically Collective on SNES Input Parameters: + snes - the SNES context - usrP - optional user context Level: intermediate .keywords: SNES, nonlinear, set, application, context .seealso: SNESGetApplicationContext() @*/ PetscErrorCode SNESSetApplicationContext(SNES snes,void *usrP) { PetscErrorCode ierr; KSP ksp; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); ierr = SNESGetKSP(snes,&ksp);CHKERRQ(ierr); ierr = KSPSetApplicationContext(ksp,usrP);CHKERRQ(ierr); snes->user = usrP; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetApplicationContext" /*@ SNESGetApplicationContext - Gets the user-defined context for the nonlinear solvers. Not Collective Input Parameter: . snes - SNES context Output Parameter: . usrP - user context Level: intermediate .keywords: SNES, nonlinear, get, application, context .seealso: SNESSetApplicationContext() @*/ PetscErrorCode SNESGetApplicationContext(SNES snes,void *usrP) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); *(void**)usrP = snes->user; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetIterationNumber" /*@ SNESGetIterationNumber - Gets the number of nonlinear iterations completed at this time. Not Collective Input Parameter: . snes - SNES context Output Parameter: . iter - iteration number Notes: For example, during the computation of iteration 2 this would return 1. This is useful for using lagged Jacobians (where one does not recompute the Jacobian at each SNES iteration). For example, the code .vb ierr = SNESGetIterationNumber(snes,&it); if (!(it % 2)) { [compute Jacobian here] } .ve can be used in your ComputeJacobian() function to cause the Jacobian to be recomputed every second SNES iteration. Level: intermediate .keywords: SNES, nonlinear, get, iteration, number, .seealso: SNESGetFunctionNorm(), SNESGetLinearSolveIterations() @*/ PetscErrorCode SNESGetIterationNumber(SNES snes,PetscInt *iter) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidIntPointer(iter,2); *iter = snes->iter; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetIterationNumber" /*@ SNESSetIterationNumber - Sets the current iteration number. Not Collective Input Parameter: . snes - SNES context . iter - iteration number Level: developer .keywords: SNES, nonlinear, set, iteration, number, .seealso: SNESGetFunctionNorm(), SNESGetLinearSolveIterations() @*/ PetscErrorCode SNESSetIterationNumber(SNES snes,PetscInt iter) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); ierr = PetscObjectTakeAccess(snes);CHKERRQ(ierr); snes->iter = iter; ierr = PetscObjectGrantAccess(snes);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetFunctionNorm" /*@ SNESGetFunctionNorm - Gets the norm of the current function that was set with SNESSSetFunction(). Collective on SNES Input Parameter: . snes - SNES context Output Parameter: . fnorm - 2-norm of function Level: intermediate .keywords: SNES, nonlinear, get, function, norm .seealso: SNESGetFunction(), SNESGetIterationNumber(), SNESGetLinearSolveIterations() @*/ PetscErrorCode SNESGetFunctionNorm(SNES snes,PetscReal *fnorm) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidScalarPointer(fnorm,2); *fnorm = snes->norm; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetFunctionNorm" /*@ SNESSetFunctionNorm - Sets the 2-norm of the current function computed using VecNorm(). Collective on SNES Input Parameter: . snes - SNES context . fnorm - 2-norm of function Level: developer .keywords: SNES, nonlinear, set, function, norm .seealso: SNESSetFunction(), SNESSetIterationNumber(), VecNorm(). @*/ PetscErrorCode SNESSetFunctionNorm(SNES snes,PetscReal fnorm) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); ierr = PetscObjectTakeAccess(snes);CHKERRQ(ierr); snes->norm = fnorm; ierr = PetscObjectGrantAccess(snes);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetNonlinearStepFailures" /*@ SNESGetNonlinearStepFailures - Gets the number of unsuccessful steps attempted by the nonlinear solver. Not Collective Input Parameter: . snes - SNES context Output Parameter: . nfails - number of unsuccessful steps attempted Notes: This counter is reset to zero for each successive call to SNESSolve(). Level: intermediate .keywords: SNES, nonlinear, get, number, unsuccessful, steps .seealso: SNESGetMaxLinearSolveFailures(), SNESGetLinearSolveIterations(), SNESSetMaxLinearSolveFailures(), SNESGetLinearSolveFailures(), SNESSetMaxNonlinearStepFailures(), SNESGetMaxNonlinearStepFailures() @*/ PetscErrorCode SNESGetNonlinearStepFailures(SNES snes,PetscInt *nfails) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidIntPointer(nfails,2); *nfails = snes->numFailures; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetMaxNonlinearStepFailures" /*@ SNESSetMaxNonlinearStepFailures - Sets the maximum number of unsuccessful steps attempted by the nonlinear solver before it gives up. Not Collective Input Parameters: + snes - SNES context - maxFails - maximum of unsuccessful steps Level: intermediate .keywords: SNES, nonlinear, set, maximum, unsuccessful, steps .seealso: SNESGetMaxLinearSolveFailures(), SNESGetLinearSolveIterations(), SNESSetMaxLinearSolveFailures(), SNESGetLinearSolveFailures(), SNESGetMaxNonlinearStepFailures(), SNESGetNonlinearStepFailures() @*/ PetscErrorCode SNESSetMaxNonlinearStepFailures(SNES snes, PetscInt maxFails) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); snes->maxFailures = maxFails; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetMaxNonlinearStepFailures" /*@ SNESGetMaxNonlinearStepFailures - Gets the maximum number of unsuccessful steps attempted by the nonlinear solver before it gives up. Not Collective Input Parameter: . snes - SNES context Output Parameter: . maxFails - maximum of unsuccessful steps Level: intermediate .keywords: SNES, nonlinear, get, maximum, unsuccessful, steps .seealso: SNESGetMaxLinearSolveFailures(), SNESGetLinearSolveIterations(), SNESSetMaxLinearSolveFailures(), SNESGetLinearSolveFailures(), SNESSetMaxNonlinearStepFailures(), SNESGetNonlinearStepFailures() @*/ PetscErrorCode SNESGetMaxNonlinearStepFailures(SNES snes, PetscInt *maxFails) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidIntPointer(maxFails,2); *maxFails = snes->maxFailures; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetNumberFunctionEvals" /*@ SNESGetNumberFunctionEvals - Gets the number of user provided function evaluations done by SNES. Not Collective Input Parameter: . snes - SNES context Output Parameter: . nfuncs - number of evaluations Level: intermediate .keywords: SNES, nonlinear, get, maximum, unsuccessful, steps .seealso: SNESGetMaxLinearSolveFailures(), SNESGetLinearSolveIterations(), SNESSetMaxLinearSolveFailures(), SNESGetLinearSolveFailures() @*/ PetscErrorCode SNESGetNumberFunctionEvals(SNES snes, PetscInt *nfuncs) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidIntPointer(nfuncs,2); *nfuncs = snes->nfuncs; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetLinearSolveFailures" /*@ SNESGetLinearSolveFailures - Gets the number of failed (non-converged) linear solvers. Not Collective Input Parameter: . snes - SNES context Output Parameter: . nfails - number of failed solves Notes: This counter is reset to zero for each successive call to SNESSolve(). Level: intermediate .keywords: SNES, nonlinear, get, number, unsuccessful, steps .seealso: SNESGetMaxLinearSolveFailures(), SNESGetLinearSolveIterations(), SNESSetMaxLinearSolveFailures() @*/ PetscErrorCode SNESGetLinearSolveFailures(SNES snes,PetscInt *nfails) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidIntPointer(nfails,2); *nfails = snes->numLinearSolveFailures; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetMaxLinearSolveFailures" /*@ SNESSetMaxLinearSolveFailures - the number of failed linear solve attempts allowed before SNES returns with a diverged reason of SNES_DIVERGED_LINEAR_SOLVE Logically Collective on SNES Input Parameters: + snes - SNES context - maxFails - maximum allowed linear solve failures Level: intermediate Notes: By default this is 0; that is SNES returns on the first failed linear solve .keywords: SNES, nonlinear, set, maximum, unsuccessful, steps .seealso: SNESGetLinearSolveFailures(), SNESGetMaxLinearSolveFailures(), SNESGetLinearSolveIterations() @*/ PetscErrorCode SNESSetMaxLinearSolveFailures(SNES snes, PetscInt maxFails) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidLogicalCollectiveInt(snes,maxFails,2); snes->maxLinearSolveFailures = maxFails; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetMaxLinearSolveFailures" /*@ SNESGetMaxLinearSolveFailures - gets the maximum number of linear solve failures that are allowed before SNES terminates Not Collective Input Parameter: . snes - SNES context Output Parameter: . maxFails - maximum of unsuccessful solves allowed Level: intermediate Notes: By default this is 1; that is SNES returns on the first failed linear solve .keywords: SNES, nonlinear, get, maximum, unsuccessful, steps .seealso: SNESGetLinearSolveFailures(), SNESGetLinearSolveIterations(), SNESSetMaxLinearSolveFailures(), @*/ PetscErrorCode SNESGetMaxLinearSolveFailures(SNES snes, PetscInt *maxFails) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidIntPointer(maxFails,2); *maxFails = snes->maxLinearSolveFailures; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetLinearSolveIterations" /*@ SNESGetLinearSolveIterations - Gets the total number of linear iterations used by the nonlinear solver. Not Collective Input Parameter: . snes - SNES context Output Parameter: . lits - number of linear iterations Notes: This counter is reset to zero for each successive call to SNESSolve(). Level: intermediate .keywords: SNES, nonlinear, get, number, linear, iterations .seealso: SNESGetIterationNumber(), SNESGetFunctionNorm(), SNESGetLinearSolveFailures(), SNESGetMaxLinearSolveFailures() @*/ PetscErrorCode SNESGetLinearSolveIterations(SNES snes,PetscInt *lits) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidIntPointer(lits,2); *lits = snes->linear_its; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetKSP" /*@ SNESGetKSP - Returns the KSP context for a SNES solver. Not Collective, but if SNES object is parallel, then KSP object is parallel Input Parameter: . snes - the SNES context Output Parameter: . ksp - the KSP context Notes: The user can then directly manipulate the KSP context to set various options, etc. Likewise, the user can then extract and manipulate the PC contexts as well. Level: beginner .keywords: SNES, nonlinear, get, KSP, context .seealso: KSPGetPC(), SNESCreate(), KSPCreate(), SNESSetKSP() @*/ PetscErrorCode SNESGetKSP(SNES snes,KSP *ksp) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidPointer(ksp,2); if (!snes->ksp) { ierr = KSPCreate(((PetscObject)snes)->comm,&snes->ksp);CHKERRQ(ierr); ierr = PetscObjectIncrementTabLevel((PetscObject)snes->ksp,(PetscObject)snes,1);CHKERRQ(ierr); ierr = PetscLogObjectParent(snes,snes->ksp);CHKERRQ(ierr); } *ksp = snes->ksp; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetKSP" /*@ SNESSetKSP - Sets a KSP context for the SNES object to use Not Collective, but the SNES and KSP objects must live on the same MPI_Comm Input Parameters: + snes - the SNES context - ksp - the KSP context Notes: The SNES object already has its KSP object, you can obtain with SNESGetKSP() so this routine is rarely needed. The KSP object that is already in the SNES object has its reference count decreased by one. Level: developer .keywords: SNES, nonlinear, get, KSP, context .seealso: KSPGetPC(), SNESCreate(), KSPCreate(), SNESSetKSP() @*/ PetscErrorCode SNESSetKSP(SNES snes,KSP ksp) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidHeaderSpecific(ksp,KSP_CLASSID,2); PetscCheckSameComm(snes,1,ksp,2); ierr = PetscObjectReference((PetscObject)ksp);CHKERRQ(ierr); if (snes->ksp) {ierr = PetscObjectDereference((PetscObject)snes->ksp);CHKERRQ(ierr);} snes->ksp = ksp; PetscFunctionReturn(0); } #if 0 #undef __FUNCT__ #define __FUNCT__ "SNESPublish_Petsc" static PetscErrorCode SNESPublish_Petsc(PetscObject obj) { PetscFunctionBegin; PetscFunctionReturn(0); } #endif /* -----------------------------------------------------------*/ #undef __FUNCT__ #define __FUNCT__ "SNESCreate" /*@ SNESCreate - Creates a nonlinear solver context. Collective on MPI_Comm Input Parameters: . comm - MPI communicator Output Parameter: . outsnes - the new SNES context Options Database Keys: + -snes_mf - Activates default matrix-free Jacobian-vector products, and no preconditioning matrix . -snes_mf_operator - Activates default matrix-free Jacobian-vector products, and a user-provided preconditioning matrix as set by SNESSetJacobian() - -snes_fd - Uses (slow!) finite differences to compute Jacobian Level: beginner .keywords: SNES, nonlinear, create, context .seealso: SNESSolve(), SNESDestroy(), SNES, SNESSetLagPreconditioner() @*/ PetscErrorCode SNESCreate(MPI_Comm comm,SNES *outsnes) { PetscErrorCode ierr; SNES snes; SNESKSPEW *kctx; PetscFunctionBegin; PetscValidPointer(outsnes,2); *outsnes = PETSC_NULL; #if !defined(PETSC_USE_DYNAMIC_LIBRARIES) ierr = SNESInitializePackage(PETSC_NULL);CHKERRQ(ierr); #endif ierr = PetscHeaderCreate(snes,_p_SNES,struct _SNESOps,SNES_CLASSID,0,"SNES","Nonlinear solver","SNES",comm,SNESDestroy,SNESView);CHKERRQ(ierr); snes->ops->converged = SNESDefaultConverged; snes->usesksp = PETSC_TRUE; snes->tolerancesset = PETSC_FALSE; snes->max_its = 50; snes->max_funcs = 10000; snes->norm = 0.0; snes->normtype = SNES_NORM_FUNCTION; snes->rtol = 1.e-8; snes->ttol = 0.0; snes->abstol = 1.e-50; snes->stol = 1.e-8; snes->deltatol = 1.e-12; snes->nfuncs = 0; snes->numFailures = 0; snes->maxFailures = 1; snes->linear_its = 0; snes->lagjacobian = 1; snes->lagpreconditioner = 1; snes->numbermonitors = 0; snes->data = 0; snes->setupcalled = PETSC_FALSE; snes->ksp_ewconv = PETSC_FALSE; snes->nwork = 0; snes->work = 0; snes->nvwork = 0; snes->vwork = 0; snes->conv_hist_len = 0; snes->conv_hist_max = 0; snes->conv_hist = PETSC_NULL; snes->conv_hist_its = PETSC_NULL; snes->conv_hist_reset = PETSC_TRUE; snes->vec_func_init_set = PETSC_FALSE; snes->norm_init = 0.; snes->norm_init_set = PETSC_FALSE; snes->reason = SNES_CONVERGED_ITERATING; snes->pcside = PC_RIGHT; snes->mf = PETSC_FALSE; snes->mf_operator = PETSC_FALSE; snes->mf_version = 1; snes->numLinearSolveFailures = 0; snes->maxLinearSolveFailures = 1; /* Create context to compute Eisenstat-Walker relative tolerance for KSP */ ierr = PetscNewLog(snes,SNESKSPEW,&kctx);CHKERRQ(ierr); snes->kspconvctx = (void*)kctx; kctx->version = 2; kctx->rtol_0 = .3; /* Eisenstat and Walker suggest rtol_0=.5, but this was too large for some test cases */ kctx->rtol_last = 0.0; kctx->rtol_max = .9; kctx->gamma = 1.0; kctx->alpha = .5*(1.0 + PetscSqrtReal(5.0)); kctx->alpha2 = kctx->alpha; kctx->threshold = .1; kctx->lresid_last = 0.0; kctx->norm_last = 0.0; *outsnes = snes; PetscFunctionReturn(0); } /*MC SNESFunction - functional form used to convey the nonlinear function to be solved by SNES Synopsis: #include "petscsnes.h" SNESFunction(SNES snes,Vec x,Vec f,void *ctx); Input Parameters: + snes - the SNES context . x - state at which to evaluate residual - ctx - optional user-defined function context, passed in with SNESSetFunction() Output Parameter: . f - vector to put residual (function value) .seealso: SNESSetFunction(), SNESGetFunction() M*/ #undef __FUNCT__ #define __FUNCT__ "SNESSetFunction" /*@C SNESSetFunction - Sets the function evaluation routine and function vector for use by the SNES routines in solving systems of nonlinear equations. Logically Collective on SNES Input Parameters: + snes - the SNES context . r - vector to store function value . SNESFunction - function evaluation routine - ctx - [optional] user-defined context for private data for the function evaluation routine (may be PETSC_NULL) Notes: The Newton-like methods typically solve linear systems of the form $ f'(x) x = -f(x), where f'(x) denotes the Jacobian matrix and f(x) is the function. Level: beginner .keywords: SNES, nonlinear, set, function .seealso: SNESGetFunction(), SNESComputeFunction(), SNESSetJacobian(), SNESSetPicard(), SNESFunction @*/ PetscErrorCode SNESSetFunction(SNES snes,Vec r,PetscErrorCode (*SNESFunction)(SNES,Vec,Vec,void*),void *ctx) { PetscErrorCode ierr; DM dm; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (r) { PetscValidHeaderSpecific(r,VEC_CLASSID,2); PetscCheckSameComm(snes,1,r,2); ierr = PetscObjectReference((PetscObject)r);CHKERRQ(ierr); ierr = VecDestroy(&snes->vec_func);CHKERRQ(ierr); snes->vec_func = r; } ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMSNESSetFunction(dm,SNESFunction,ctx);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetInitialFunction" /*@C SNESSetInitialFunction - Sets the function vector to be used as the function norm at the initialization of the method. In some instances, the user has precomputed the function before calling SNESSolve. This function allows one to avoid a redundant call to SNESComputeFunction in that case. Logically Collective on SNES Input Parameters: + snes - the SNES context - f - vector to store function value Notes: This should not be modified during the solution procedure. This is used extensively in the SNESFAS hierarchy and in nonlinear preconditioning. Level: developer .keywords: SNES, nonlinear, set, function .seealso: SNESSetFunction(), SNESComputeFunction(), SNESSetInitialFunctionNorm() @*/ PetscErrorCode SNESSetInitialFunction(SNES snes, Vec f) { PetscErrorCode ierr; Vec vec_func; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidHeaderSpecific(f,VEC_CLASSID,2); PetscCheckSameComm(snes,1,f,2); ierr = SNESGetFunction(snes,&vec_func,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); ierr = VecCopy(f, vec_func);CHKERRQ(ierr); snes->vec_func_init_set = PETSC_TRUE; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetInitialFunctionNorm" /*@C SNESSetInitialFunctionNorm - Sets the function norm to be used as the function norm at the initialization of the method. In some instances, the user has precomputed the function and its norm before calling SNESSolve. This function allows one to avoid a redundant call to SNESComputeFunction() and VecNorm() in that case. Logically Collective on SNES Input Parameters: + snes - the SNES context - fnorm - the norm of F as set by SNESSetInitialFunction() This is used extensively in the SNESFAS hierarchy and in nonlinear preconditioning. Level: developer .keywords: SNES, nonlinear, set, function, norm .seealso: SNESSetFunction(), SNESComputeFunction(), SNESSetInitialFunction() @*/ PetscErrorCode SNESSetInitialFunctionNorm(SNES snes, PetscReal fnorm) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); snes->norm_init = fnorm; snes->norm_init_set = PETSC_TRUE; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetNormType" /*@ SNESSetNormType - Sets the SNESNormType used in covergence and monitoring of the SNES method. Logically Collective on SNES Input Parameters: + snes - the SNES context - normtype - the type of the norm used Notes: Only certain SNES methods support certain SNESNormTypes. Most require evaluation of the nonlinear function and the taking of its norm at every iteration to even ensure convergence at all. However, methods such as custom Gauss-Seidel methods (SNESGS) and the like do not require the norm of the function to be computed, and therfore may either be monitored for convergence or not. As these are often used as nonlinear preconditioners, monitoring the norm of their error is not a useful enterprise within their solution. Level: developer .keywords: SNES, nonlinear, set, function, norm, type .seealso: SNESGetNormType(), SNESComputeFunction(), VecNorm(), SNESSetFunction(), SNESSetInitialFunction(), SNESNormType @*/ PetscErrorCode SNESSetNormType(SNES snes, SNESNormType normtype) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); snes->normtype = normtype; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetNormType" /*@ SNESGetNormType - Gets the SNESNormType used in covergence and monitoring of the SNES method. Logically Collective on SNES Input Parameters: + snes - the SNES context - normtype - the type of the norm used Level: advanced .keywords: SNES, nonlinear, set, function, norm, type .seealso: SNESSetNormType(), SNESComputeFunction(), VecNorm(), SNESSetFunction(), SNESSetInitialFunction(), SNESNormType @*/ PetscErrorCode SNESGetNormType(SNES snes, SNESNormType *normtype) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); *normtype = snes->normtype; PetscFunctionReturn(0); } /*MC SNESGSFunction - function used to convey a Gauss-Seidel sweep on the nonlinear function Synopsis: #include "petscsnes.h" $ SNESGSFunction(SNES snes,Vec x,Vec b,void *ctx); + X - solution vector . B - RHS vector - ctx - optional user-defined Gauss-Seidel context .seealso: SNESSetGS(), SNESGetGS() M*/ #undef __FUNCT__ #define __FUNCT__ "SNESSetGS" /*@C SNESSetGS - Sets the user nonlinear Gauss-Seidel routine for use with composed nonlinear solvers. Input Parameters: + snes - the SNES context . SNESGSFunction - function evaluation routine - ctx - [optional] user-defined context for private data for the smoother evaluation routine (may be PETSC_NULL) Notes: The GS routines are used by the composed nonlinear solver to generate a problem appropriate update to the solution, particularly FAS. Level: intermediate .keywords: SNES, nonlinear, set, Gauss-Seidel .seealso: SNESGetFunction(), SNESComputeGS() @*/ PetscErrorCode SNESSetGS(SNES snes,PetscErrorCode (*SNESGSFunction)(SNES,Vec,Vec,void*),void *ctx) { PetscErrorCode ierr; DM dm; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMSNESSetGS(dm,SNESGSFunction,ctx);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESPicardComputeFunction" PetscErrorCode SNESPicardComputeFunction(SNES snes,Vec x,Vec f,void *ctx) { PetscErrorCode ierr; DM dm; DMSNES sdm; PetscFunctionBegin; ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMGetDMSNES(dm,&sdm);CHKERRQ(ierr); /* A(x)*x - b(x) */ if (sdm->ops->computepfunction) { ierr = (*sdm->ops->computepfunction)(snes,x,f,sdm->pctx);CHKERRQ(ierr); } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "Must call SNESSetPicard() to provide Picard function."); if (sdm->ops->computepjacobian) { ierr = (*sdm->ops->computepjacobian)(snes,x,&snes->jacobian,&snes->jacobian_pre,&snes->matstruct,sdm->pctx);CHKERRQ(ierr); } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "Must call SNESSetPicard() to provide Picard matrix."); ierr = VecScale(f,-1.0);CHKERRQ(ierr); ierr = MatMultAdd(snes->jacobian,x,f,f);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESPicardComputeJacobian" PetscErrorCode SNESPicardComputeJacobian(SNES snes,Vec x1,Mat *J,Mat *B,MatStructure *flag,void *ctx) { PetscFunctionBegin; /* the jacobian matrix should be pre-filled in SNESPicardComputeFunction */ *flag = snes->matstruct; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetPicard" /*@C SNESSetPicard - Use SNES to solve the semilinear-system A(x) x = b(x) via a Picard type iteration (Picard linearization) Logically Collective on SNES Input Parameters: + snes - the SNES context . r - vector to store function value . SNESFunction - function evaluation routine . jmat - normally the same as mat but you can pass another matrix for which you compute A(x) x - b(x) (see jmat below) . mat - matrix to store A . SNESJacobianFunction - function to compute matrix value - ctx - [optional] user-defined context for private data for the function evaluation routine (may be PETSC_NULL) Notes: We do not recomemend using this routine. It is far better to provide the nonlinear function F() and some approximation to the Jacobian and use an approximate Newton solver. This interface is provided to allow porting/testing a previous Picard based code in PETSc before converting it to approximate Newton. One can call SNESSetPicard() or SNESSetFunction() (and possibly SNESSetJacobian()) but cannot call both $ Solves the equation A(x) x = b(x) via the defect correction algorithm A(x^{n}) (x^{n+1} - x^{n}) = b(x^{n}) - A(x^{n})x^{n} $ Note that when an exact solver is used this corresponds to the "classic" Picard A(x^{n}) x^{n+1} = b(x^{n}) iteration. Run with -snes_mf_operator to solve the system with Newton's method using A(x^{n}) to construct the preconditioner. We implement the defect correction form of the Picard iteration because it converges much more generally when inexact linear solvers are used then the direct Picard iteration A(x^n) x^{n+1} = b(x^n) There is some controversity over the definition of a Picard iteration for nonlinear systems but almost everyone agrees that it involves a linear solve and some believe it is the iteration A(x^{n}) x^{n+1} = b(x^{n}) hence we use the name Picard. If anyone has an authoritative reference that defines the Picard iteration different please contact us at petsc-dev@mcs.anl.gov and we'll have an entirely new argument :-). Level: intermediate .keywords: SNES, nonlinear, set, function .seealso: SNESGetFunction(), SNESSetFunction(), SNESComputeFunction(), SNESSetJacobian(), SNESGetPicard(), SNESLineSearchPreCheckPicard() @*/ PetscErrorCode SNESSetPicard(SNES snes,Vec r,PetscErrorCode (*SNESFunction)(SNES,Vec,Vec,void*),Mat jmat, Mat mat, PetscErrorCode (*SNESJacobianFunction)(SNES,Vec,Mat*,Mat*,MatStructure*,void*),void *ctx) { PetscErrorCode ierr; DM dm; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); ierr = SNESGetDM(snes, &dm);CHKERRQ(ierr); ierr = DMSNESSetPicard(dm,SNESFunction,SNESJacobianFunction,ctx);CHKERRQ(ierr); ierr = SNESSetFunction(snes,r,SNESPicardComputeFunction,ctx);CHKERRQ(ierr); ierr = SNESSetJacobian(snes,jmat,mat,SNESPicardComputeJacobian,ctx);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetPicard" /*@C SNESGetPicard - Returns the context for the Picard iteration Not Collective, but Vec is parallel if SNES is parallel. Collective if Vec is requested, but has not been created yet. Input Parameter: . snes - the SNES context Output Parameter: + r - the function (or PETSC_NULL) . SNESFunction - the function (or PETSC_NULL) . jmat - the picard matrix (or PETSC_NULL) . mat - the picard preconditioner matrix (or PETSC_NULL) . SNESJacobianFunction - the function for matrix evaluation (or PETSC_NULL) - ctx - the function context (or PETSC_NULL) Level: advanced .keywords: SNES, nonlinear, get, function .seealso: SNESSetPicard, SNESGetFunction, SNESGetJacobian, SNESGetDM, SNESFunction, SNESJacobianFunction @*/ PetscErrorCode SNESGetPicard(SNES snes,Vec *r,PetscErrorCode (**SNESFunction)(SNES,Vec,Vec,void*),Mat *jmat, Mat *mat, PetscErrorCode (**SNESJacobianFunction)(SNES,Vec,Mat*,Mat*,MatStructure*,void*),void **ctx) { PetscErrorCode ierr; DM dm; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); ierr = SNESGetFunction(snes,r,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); ierr = SNESGetJacobian(snes,jmat,mat,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMSNESGetPicard(dm,SNESFunction,SNESJacobianFunction,ctx);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetComputeInitialGuess" /*@C SNESSetComputeInitialGuess - Sets a routine used to compute an initial guess for the problem Logically Collective on SNES Input Parameters: + snes - the SNES context . func - function evaluation routine - ctx - [optional] user-defined context for private data for the function evaluation routine (may be PETSC_NULL) Calling sequence of func: $ func (SNES snes,Vec x,void *ctx); . f - function vector - ctx - optional user-defined function context Level: intermediate .keywords: SNES, nonlinear, set, function .seealso: SNESGetFunction(), SNESComputeFunction(), SNESSetJacobian() @*/ PetscErrorCode SNESSetComputeInitialGuess(SNES snes,PetscErrorCode (*func)(SNES,Vec,void*),void *ctx) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (func) snes->ops->computeinitialguess = func; if (ctx) snes->initialguessP = ctx; PetscFunctionReturn(0); } /* --------------------------------------------------------------- */ #undef __FUNCT__ #define __FUNCT__ "SNESGetRhs" /*@C SNESGetRhs - Gets the vector for solving F(x) = rhs. If rhs is not set it assumes a zero right hand side. Logically Collective on SNES Input Parameter: . snes - the SNES context Output Parameter: . rhs - the right hand side vector or PETSC_NULL if the right hand side vector is null Level: intermediate .keywords: SNES, nonlinear, get, function, right hand side .seealso: SNESGetSolution(), SNESGetFunction(), SNESComputeFunction(), SNESSetJacobian(), SNESSetFunction() @*/ PetscErrorCode SNESGetRhs(SNES snes,Vec *rhs) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidPointer(rhs,2); *rhs = snes->vec_rhs; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESComputeFunction" /*@ SNESComputeFunction - Calls the function that has been set with SNESSetFunction(). Collective on SNES Input Parameters: + snes - the SNES context - x - input vector Output Parameter: . y - function vector, as set by SNESSetFunction() Notes: SNESComputeFunction() is typically used within nonlinear solvers implementations, so most users would not generally call this routine themselves. Level: developer .keywords: SNES, nonlinear, compute, function .seealso: SNESSetFunction(), SNESGetFunction() @*/ PetscErrorCode SNESComputeFunction(SNES snes,Vec x,Vec y) { PetscErrorCode ierr; DM dm; DMSNES sdm; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidHeaderSpecific(x,VEC_CLASSID,2); PetscValidHeaderSpecific(y,VEC_CLASSID,3); PetscCheckSameComm(snes,1,x,2); PetscCheckSameComm(snes,1,y,3); VecValidValues(x,2,PETSC_TRUE); ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMGetDMSNES(dm,&sdm);CHKERRQ(ierr); if (snes->pc && snes->pcside == PC_LEFT) { ierr = VecCopy(x,y);CHKERRQ(ierr); ierr = PetscLogEventBegin(SNES_NPCSolve,snes->pc,x,y,0);CHKERRQ(ierr); ierr = SNESSolve(snes->pc,snes->vec_rhs,y);CHKERRQ(ierr); ierr = PetscLogEventEnd(SNES_NPCSolve,snes->pc,x,y,0);CHKERRQ(ierr); ierr = VecAYPX(y,-1.0,x);CHKERRQ(ierr); } else if (sdm->ops->computefunction) { ierr = PetscLogEventBegin(SNES_FunctionEval,snes,x,y,0);CHKERRQ(ierr); PetscStackPush("SNES user function"); ierr = (*sdm->ops->computefunction)(snes,x,y,sdm->functionctx);CHKERRQ(ierr); PetscStackPop; ierr = PetscLogEventEnd(SNES_FunctionEval,snes,x,y,0);CHKERRQ(ierr); } else if (snes->vec_rhs) { ierr = MatMult(snes->jacobian, x, y);CHKERRQ(ierr); } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "Must call SNESSetFunction() or SNESSetDM() before SNESComputeFunction(), likely called from SNESSolve()."); if (snes->vec_rhs) { ierr = VecAXPY(y,-1.0,snes->vec_rhs);CHKERRQ(ierr); } snes->nfuncs++; VecValidValues(y,3,PETSC_FALSE); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESComputeGS" /*@ SNESComputeGS - Calls the Gauss-Seidel function that has been set with SNESSetGS(). Collective on SNES Input Parameters: + snes - the SNES context . x - input vector - b - rhs vector Output Parameter: . x - new solution vector Notes: SNESComputeGS() is typically used within composed nonlinear solver implementations, so most users would not generally call this routine themselves. Level: developer .keywords: SNES, nonlinear, compute, function .seealso: SNESSetGS(), SNESComputeFunction() @*/ PetscErrorCode SNESComputeGS(SNES snes,Vec b,Vec x) { PetscErrorCode ierr; DM dm; DMSNES sdm; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidHeaderSpecific(x,VEC_CLASSID,2); if (b) PetscValidHeaderSpecific(b,VEC_CLASSID,3); PetscCheckSameComm(snes,1,x,2); if (b) PetscCheckSameComm(snes,1,b,3); if (b) VecValidValues(b,2,PETSC_TRUE); ierr = PetscLogEventBegin(SNES_GSEval,snes,x,b,0);CHKERRQ(ierr); ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMGetDMSNES(dm,&sdm);CHKERRQ(ierr); if (sdm->ops->computegs) { PetscStackPush("SNES user GS"); ierr = (*sdm->ops->computegs)(snes,x,b,sdm->gsctx);CHKERRQ(ierr); PetscStackPop; } else SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "Must call SNESSetGS() before SNESComputeGS(), likely called from SNESSolve()."); ierr = PetscLogEventEnd(SNES_GSEval,snes,x,b,0);CHKERRQ(ierr); VecValidValues(x,3,PETSC_FALSE); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESComputeJacobian" /*@ SNESComputeJacobian - Computes the Jacobian matrix that has been set with SNESSetJacobian(). Collective on SNES and Mat Input Parameters: + snes - the SNES context - x - input vector Output Parameters: + A - Jacobian matrix . B - optional preconditioning matrix - flag - flag indicating matrix structure (one of, SAME_NONZERO_PATTERN,DIFFERENT_NONZERO_PATTERN,SAME_PRECONDITIONER) Options Database Keys: + -snes_lag_preconditioner . -snes_lag_jacobian . -snes_compare_explicit - Compare the computed Jacobian to the finite difference Jacobian and output the differences . -snes_compare_explicit_draw - Compare the computed Jacobian to the finite difference Jacobian and draw the result . -snes_compare_explicit_contour - Compare the computed Jacobian to the finite difference Jacobian and draw a contour plot with the result . -snes_compare_operator - Make the comparison options above use the operator instead of the preconditioning matrix . -snes_compare_coloring - Compute the finite differece Jacobian using coloring and display norms of difference . -snes_compare_coloring_display - Compute the finite differece Jacobian using coloring and display verbose differences . -snes_compare_coloring_threshold - Display only those matrix entries that differ by more than a given threshold . -snes_compare_coloring_threshold_atol - Absolute tolerance for difference in matrix entries to be displayed by -snes_compare_coloring_threshold . -snes_compare_coloring_threshold_rtol - Relative tolerance for difference in matrix entries to be displayed by -snes_compare_coloring_threshold . -snes_compare_coloring_draw - Compute the finite differece Jacobian using coloring and draw differences - -snes_compare_coloring_draw_contour - Compute the finite differece Jacobian using coloring and show contours of matrices and differences Notes: Most users should not need to explicitly call this routine, as it is used internally within the nonlinear solvers. See KSPSetOperators() for important information about setting the flag parameter. Level: developer .keywords: SNES, compute, Jacobian, matrix .seealso: SNESSetJacobian(), KSPSetOperators(), MatStructure, SNESSetLagPreconditioner(), SNESSetLagJacobian() @*/ PetscErrorCode SNESComputeJacobian(SNES snes,Vec X,Mat *A,Mat *B,MatStructure *flg) { PetscErrorCode ierr; PetscBool flag; DM dm; DMSNES sdm; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidHeaderSpecific(X,VEC_CLASSID,2); PetscValidPointer(flg,5); PetscCheckSameComm(snes,1,X,2); VecValidValues(X,2,PETSC_TRUE); ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMGetDMSNES(dm,&sdm);CHKERRQ(ierr); if (!sdm->ops->computejacobian) SETERRQ(((PetscObject)snes)->comm,PETSC_ERR_USER,"Must call SNESSetJacobian(), DMSNESSetJacobian(), DMDASNESSetJacobianLocal(), etc"); /* make sure that MatAssemblyBegin/End() is called on A matrix if it is matrix free */ if (snes->lagjacobian == -2) { snes->lagjacobian = -1; ierr = PetscInfo(snes,"Recomputing Jacobian/preconditioner because lag is -2 (means compute Jacobian, but then never again) \n");CHKERRQ(ierr); } else if (snes->lagjacobian == -1) { *flg = SAME_PRECONDITIONER; ierr = PetscInfo(snes,"Reusing Jacobian/preconditioner because lag is -1\n");CHKERRQ(ierr); ierr = PetscObjectTypeCompare((PetscObject)*A,MATMFFD,&flag);CHKERRQ(ierr); if (flag) { ierr = MatAssemblyBegin(*A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatAssemblyEnd(*A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); } PetscFunctionReturn(0); } else if (snes->lagjacobian > 1 && snes->iter % snes->lagjacobian) { *flg = SAME_PRECONDITIONER; ierr = PetscInfo2(snes,"Reusing Jacobian/preconditioner because lag is %D and SNES iteration is %D\n",snes->lagjacobian,snes->iter);CHKERRQ(ierr); ierr = PetscObjectTypeCompare((PetscObject)*A,MATMFFD,&flag);CHKERRQ(ierr); if (flag) { ierr = MatAssemblyBegin(*A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatAssemblyEnd(*A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); } PetscFunctionReturn(0); } *flg = DIFFERENT_NONZERO_PATTERN; ierr = PetscLogEventBegin(SNES_JacobianEval,snes,X,*A,*B);CHKERRQ(ierr); PetscStackPush("SNES user Jacobian function"); ierr = (*sdm->ops->computejacobian)(snes,X,A,B,flg,sdm->jacobianctx);CHKERRQ(ierr); PetscStackPop; ierr = PetscLogEventEnd(SNES_JacobianEval,snes,X,*A,*B);CHKERRQ(ierr); if (snes->lagpreconditioner == -2) { ierr = PetscInfo(snes,"Rebuilding preconditioner exactly once since lag is -2\n");CHKERRQ(ierr); snes->lagpreconditioner = -1; } else if (snes->lagpreconditioner == -1) { *flg = SAME_PRECONDITIONER; ierr = PetscInfo(snes,"Reusing preconditioner because lag is -1\n");CHKERRQ(ierr); } else if (snes->lagpreconditioner > 1 && snes->iter % snes->lagpreconditioner) { *flg = SAME_PRECONDITIONER; ierr = PetscInfo2(snes,"Reusing preconditioner because lag is %D and SNES iteration is %D\n",snes->lagpreconditioner,snes->iter);CHKERRQ(ierr); } /* make sure user returned a correct Jacobian and preconditioner */ /* PetscValidHeaderSpecific(*A,MAT_CLASSID,3); PetscValidHeaderSpecific(*B,MAT_CLASSID,4); */ { PetscBool flag = PETSC_FALSE,flag_draw = PETSC_FALSE,flag_contour = PETSC_FALSE,flag_operator = PETSC_FALSE; ierr = PetscOptionsGetBool(((PetscObject)snes)->prefix,"-snes_compare_explicit",&flag,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(((PetscObject)snes)->prefix,"-snes_compare_explicit_draw",&flag_draw,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(((PetscObject)snes)->prefix,"-snes_compare_explicit_draw_contour",&flag_contour,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(((PetscObject)snes)->prefix,"-snes_compare_operator",&flag_operator,PETSC_NULL);CHKERRQ(ierr); if (flag || flag_draw || flag_contour) { Mat Bexp_mine = PETSC_NULL,Bexp,FDexp; MatStructure mstruct; PetscViewer vdraw,vstdout; PetscBool flg; if (flag_operator) { ierr = MatComputeExplicitOperator(*A,&Bexp_mine);CHKERRQ(ierr); Bexp = Bexp_mine; } else { /* See if the preconditioning matrix can be viewed and added directly */ ierr = PetscObjectTypeCompareAny((PetscObject)*B,&flg,MATSEQAIJ,MATMPIAIJ,MATSEQDENSE,MATMPIDENSE,MATSEQBAIJ,MATMPIBAIJ,MATSEQSBAIJ,MATMPIBAIJ,"");CHKERRQ(ierr); if (flg) Bexp = *B; else { /* If the "preconditioning" matrix is itself MATSHELL or some other type without direct support */ ierr = MatComputeExplicitOperator(*B,&Bexp_mine);CHKERRQ(ierr); Bexp = Bexp_mine; } } ierr = MatConvert(Bexp,MATSAME,MAT_INITIAL_MATRIX,&FDexp);CHKERRQ(ierr); ierr = SNESDefaultComputeJacobian(snes,X,&FDexp,&FDexp,&mstruct,NULL);CHKERRQ(ierr); ierr = PetscViewerASCIIGetStdout(((PetscObject)snes)->comm,&vstdout);CHKERRQ(ierr); if (flag_draw || flag_contour) { ierr = PetscViewerDrawOpen(((PetscObject)snes)->comm,0,"Explicit Jacobians",PETSC_DECIDE,PETSC_DECIDE,300,300,&vdraw);CHKERRQ(ierr); if (flag_contour) {ierr = PetscViewerPushFormat(vdraw,PETSC_VIEWER_DRAW_CONTOUR);CHKERRQ(ierr);} } else vdraw = PETSC_NULL; ierr = PetscViewerASCIIPrintf(vstdout,"Explicit %s\n",flag_operator ? "Jacobian" : "preconditioning Jacobian");CHKERRQ(ierr); if (flag) {ierr = MatView(Bexp,vstdout);CHKERRQ(ierr);} if (vdraw) {ierr = MatView(Bexp,vdraw);CHKERRQ(ierr);} ierr = PetscViewerASCIIPrintf(vstdout,"Finite difference Jacobian\n");CHKERRQ(ierr); if (flag) {ierr = MatView(FDexp,vstdout);CHKERRQ(ierr);} if (vdraw) {ierr = MatView(FDexp,vdraw);CHKERRQ(ierr);} ierr = MatAYPX(FDexp,-1.0,Bexp,SAME_NONZERO_PATTERN);CHKERRQ(ierr); ierr = PetscViewerASCIIPrintf(vstdout,"User-provided matrix minus finite difference Jacobian\n");CHKERRQ(ierr); if (flag) {ierr = MatView(FDexp,vstdout);CHKERRQ(ierr);} if (vdraw) { /* Always use contour for the difference */ ierr = PetscViewerPushFormat(vdraw,PETSC_VIEWER_DRAW_CONTOUR);CHKERRQ(ierr); ierr = MatView(FDexp,vdraw);CHKERRQ(ierr); ierr = PetscViewerPopFormat(vdraw);CHKERRQ(ierr); } if (flag_contour) {ierr = PetscViewerPopFormat(vdraw);CHKERRQ(ierr);} ierr = PetscViewerDestroy(&vdraw);CHKERRQ(ierr); ierr = MatDestroy(&Bexp_mine);CHKERRQ(ierr); ierr = MatDestroy(&FDexp);CHKERRQ(ierr); } } { PetscBool flag = PETSC_FALSE,flag_display = PETSC_FALSE,flag_draw = PETSC_FALSE,flag_contour = PETSC_FALSE,flag_threshold = PETSC_FALSE; PetscReal threshold_atol = PETSC_SQRT_MACHINE_EPSILON,threshold_rtol = 10*PETSC_SQRT_MACHINE_EPSILON; ierr = PetscOptionsGetBool(((PetscObject)snes)->prefix,"-snes_compare_coloring",&flag,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(((PetscObject)snes)->prefix,"-snes_compare_coloring_display",&flag_display,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(((PetscObject)snes)->prefix,"-snes_compare_coloring_draw",&flag_draw,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(((PetscObject)snes)->prefix,"-snes_compare_coloring_draw_contour",&flag_contour,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(((PetscObject)snes)->prefix,"-snes_compare_coloring_threshold",&flag_threshold,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsGetReal(((PetscObject)snes)->prefix,"-snes_compare_coloring_threshold_rtol",&threshold_rtol,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsGetReal(((PetscObject)snes)->prefix,"-snes_compare_coloring_threshold_atol",&threshold_atol,PETSC_NULL);CHKERRQ(ierr); if (flag || flag_display || flag_draw || flag_contour || flag_threshold) { Mat Bfd; MatStructure mstruct; PetscViewer vdraw,vstdout; ISColoring iscoloring; MatFDColoring matfdcoloring; PetscErrorCode (*func)(SNES,Vec,Vec,void*); void *funcctx; PetscReal norm1,norm2,normmax; ierr = MatDuplicate(*B,MAT_DO_NOT_COPY_VALUES,&Bfd);CHKERRQ(ierr); ierr = MatGetColoring(Bfd,MATCOLORINGSL,&iscoloring);CHKERRQ(ierr); ierr = MatFDColoringCreate(Bfd,iscoloring,&matfdcoloring);CHKERRQ(ierr); ierr = ISColoringDestroy(&iscoloring);CHKERRQ(ierr); /* This method of getting the function is currently unreliable since it doesn't work for DM local functions. */ ierr = SNESGetFunction(snes,PETSC_NULL,&func,&funcctx);CHKERRQ(ierr); ierr = MatFDColoringSetFunction(matfdcoloring,(PetscErrorCode (*)(void))func,funcctx);CHKERRQ(ierr); ierr = PetscObjectSetOptionsPrefix((PetscObject)matfdcoloring,((PetscObject)snes)->prefix);CHKERRQ(ierr); ierr = PetscObjectAppendOptionsPrefix((PetscObject)matfdcoloring,"coloring_");CHKERRQ(ierr); ierr = MatFDColoringSetFromOptions(matfdcoloring);CHKERRQ(ierr); ierr = MatFDColoringApply(Bfd,matfdcoloring,X,&mstruct,snes);CHKERRQ(ierr); ierr = MatFDColoringDestroy(&matfdcoloring);CHKERRQ(ierr); ierr = PetscViewerASCIIGetStdout(((PetscObject)snes)->comm,&vstdout);CHKERRQ(ierr); if (flag_draw || flag_contour) { ierr = PetscViewerDrawOpen(((PetscObject)snes)->comm,0,"Colored Jacobians",PETSC_DECIDE,PETSC_DECIDE,300,300,&vdraw);CHKERRQ(ierr); if (flag_contour) {ierr = PetscViewerPushFormat(vdraw,PETSC_VIEWER_DRAW_CONTOUR);CHKERRQ(ierr);} } else vdraw = PETSC_NULL; ierr = PetscViewerASCIIPrintf(vstdout,"Explicit preconditioning Jacobian\n");CHKERRQ(ierr); if (flag_display) {ierr = MatView(*B,vstdout);CHKERRQ(ierr);} if (vdraw) {ierr = MatView(*B,vdraw);CHKERRQ(ierr);} ierr = PetscViewerASCIIPrintf(vstdout,"Colored Finite difference Jacobian\n");CHKERRQ(ierr); if (flag_display) {ierr = MatView(Bfd,vstdout);CHKERRQ(ierr);} if (vdraw) {ierr = MatView(Bfd,vdraw);CHKERRQ(ierr);} ierr = MatAYPX(Bfd,-1.0,*B,SAME_NONZERO_PATTERN);CHKERRQ(ierr); ierr = MatNorm(Bfd,NORM_1,&norm1);CHKERRQ(ierr); ierr = MatNorm(Bfd,NORM_FROBENIUS,&norm2);CHKERRQ(ierr); ierr = MatNorm(Bfd,NORM_MAX,&normmax);CHKERRQ(ierr); ierr = PetscViewerASCIIPrintf(vstdout,"User-provided matrix minus finite difference Jacobian, norm1=%G normFrob=%G normmax=%G\n",norm1,norm2,normmax);CHKERRQ(ierr); if (flag_display) {ierr = MatView(Bfd,vstdout);CHKERRQ(ierr);} if (vdraw) { /* Always use contour for the difference */ ierr = PetscViewerPushFormat(vdraw,PETSC_VIEWER_DRAW_CONTOUR);CHKERRQ(ierr); ierr = MatView(Bfd,vdraw);CHKERRQ(ierr); ierr = PetscViewerPopFormat(vdraw);CHKERRQ(ierr); } if (flag_contour) {ierr = PetscViewerPopFormat(vdraw);CHKERRQ(ierr);} if (flag_threshold) { PetscInt bs,rstart,rend,i; ierr = MatGetBlockSize(*B,&bs);CHKERRQ(ierr); ierr = MatGetOwnershipRange(*B,&rstart,&rend);CHKERRQ(ierr); for (i=rstart; icomm,PETSC_ERR_PLIB,"Unexpected different nonzero pattern in -snes_compare_coloring_threshold"); for (j=0; j PetscAbs(maxentry)) { maxentrycol = bj[j]; maxentry = PetscRealPart(ba[j]); } if (PetscAbsScalar(ca[j]) > PetscAbs(maxdiff)) { maxdiffcol = bj[j]; maxdiff = PetscRealPart(ca[j]); } if (rdiff > maxrdiff) { maxrdiffcol = bj[j]; maxrdiff = rdiff; } } if (maxrdiff > 1) { ierr = PetscViewerASCIIPrintf(vstdout,"row %D (maxentry=%G at %D, maxdiff=%G at %D, maxrdiff=%G at %D):",i,maxentry,maxentrycol,maxdiff,maxdiffcol,maxrdiff,maxrdiffcol);CHKERRQ(ierr); for (j=0; j 1) { ierr = PetscViewerASCIIPrintf(vstdout," (%D,%G:%G)",bj[j],PetscRealPart(ba[j]),PetscRealPart(ca[j]));CHKERRQ(ierr); } } ierr = PetscViewerASCIIPrintf(vstdout,"\n",i,maxentry,maxdiff,maxrdiff);CHKERRQ(ierr); } ierr = MatRestoreRow(*B,i,&bn,&bj,&ba);CHKERRQ(ierr); ierr = MatRestoreRow(Bfd,i,&cn,&cj,&ca);CHKERRQ(ierr); } } ierr = PetscViewerDestroy(&vdraw);CHKERRQ(ierr); ierr = MatDestroy(&Bfd);CHKERRQ(ierr); } } PetscFunctionReturn(0); } /*MC SNESJacobianFunction - function used to convey the nonlinear Jacobian of the function to be solved by SNES Synopsis: #include "petscsnes.h" $ SNESJacobianFunction(SNES snes,Vec x,Mat *A,Mat *B,int *flag,void *ctx); + x - input vector . A - Jacobian matrix . B - preconditioner matrix, usually the same as A . flag - flag indicating information about the preconditioner matrix structure (same as flag in KSPSetOperators()), one of SAME_NONZERO_PATTERN,DIFFERENT_NONZERO_PATTERN,SAME_PRECONDITIONER - ctx - [optional] user-defined Jacobian context .seealso: SNESSetFunction(), SNESGetFunction(), SNESSetJacobian(), SNESGetJacobian() M*/ #undef __FUNCT__ #define __FUNCT__ "SNESSetJacobian" /*@C SNESSetJacobian - Sets the function to compute Jacobian as well as the location to store the matrix. Logically Collective on SNES and Mat Input Parameters: + snes - the SNES context . A - Jacobian matrix . B - preconditioner matrix (usually same as the Jacobian) . SNESJacobianFunction - Jacobian evaluation routine (if PETSC_NULL then SNES retains any previously set value) - ctx - [optional] user-defined context for private data for the Jacobian evaluation routine (may be PETSC_NULL) (if PETSC_NULL then SNES retains any previously set value) Notes: See KSPSetOperators() for important information about setting the flag output parameter in the routine func(). Be sure to read this information! The routine func() takes Mat * as the matrix arguments rather than Mat. This allows the Jacobian evaluation routine to replace A and/or B with a completely new new matrix structure (not just different matrix elements) when appropriate, for instance, if the nonzero structure is changing throughout the global iterations. If the A matrix and B matrix are different you must call MatAssemblyBegin/End() on each matrix. If using SNESDefaultComputeJacobianColor() to assemble a Jacobian, the ctx argument must be a MatFDColoring. Other defect-correction schemes can be used by computing a different matrix in place of the Jacobian. One common example is to use the "Picard linearization" which only differentiates through the highest order parts of each term. Level: beginner .keywords: SNES, nonlinear, set, Jacobian, matrix .seealso: KSPSetOperators(), SNESSetFunction(), MatMFFDComputeJacobian(), SNESDefaultComputeJacobianColor(), MatStructure, SNESJacobianFunction @*/ PetscErrorCode SNESSetJacobian(SNES snes,Mat A,Mat B,PetscErrorCode (*SNESJacobianFunction)(SNES,Vec,Mat*,Mat*,MatStructure*,void*),void *ctx) { PetscErrorCode ierr; DM dm; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (A) PetscValidHeaderSpecific(A,MAT_CLASSID,2); if (B) PetscValidHeaderSpecific(B,MAT_CLASSID,3); if (A) PetscCheckSameComm(snes,1,A,2); if (B) PetscCheckSameComm(snes,1,B,3); ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMSNESSetJacobian(dm,SNESJacobianFunction,ctx);CHKERRQ(ierr); if (A) { ierr = PetscObjectReference((PetscObject)A);CHKERRQ(ierr); ierr = MatDestroy(&snes->jacobian);CHKERRQ(ierr); snes->jacobian = A; } if (B) { ierr = PetscObjectReference((PetscObject)B);CHKERRQ(ierr); ierr = MatDestroy(&snes->jacobian_pre);CHKERRQ(ierr); snes->jacobian_pre = B; } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetJacobian" /*@C SNESGetJacobian - Returns the Jacobian matrix and optionally the user provided context for evaluating the Jacobian. Not Collective, but Mat object will be parallel if SNES object is Input Parameter: . snes - the nonlinear solver context Output Parameters: + A - location to stash Jacobian matrix (or PETSC_NULL) . B - location to stash preconditioner matrix (or PETSC_NULL) . SNESJacobianFunction - location to put Jacobian function (or PETSC_NULL) - ctx - location to stash Jacobian ctx (or PETSC_NULL) Level: advanced .seealso: SNESSetJacobian(), SNESComputeJacobian() @*/ PetscErrorCode SNESGetJacobian(SNES snes,Mat *A,Mat *B,PetscErrorCode (**SNESJacobianFunction)(SNES,Vec,Mat*,Mat*,MatStructure*,void*),void **ctx) { PetscErrorCode ierr; DM dm; DMSNES sdm; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (A) *A = snes->jacobian; if (B) *B = snes->jacobian_pre; ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMGetDMSNES(dm,&sdm);CHKERRQ(ierr); if (SNESJacobianFunction) *SNESJacobianFunction = sdm->ops->computejacobian; if (ctx) *ctx = sdm->jacobianctx; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetUp" /*@ SNESSetUp - Sets up the internal data structures for the later use of a nonlinear solver. Collective on SNES Input Parameters: . snes - the SNES context Notes: For basic use of the SNES solvers the user need not explicitly call SNESSetUp(), since these actions will automatically occur during the call to SNESSolve(). However, if one wishes to control this phase separately, SNESSetUp() should be called after SNESCreate() and optional routines of the form SNESSetXXX(), but before SNESSolve(). Level: advanced .keywords: SNES, nonlinear, setup .seealso: SNESCreate(), SNESSolve(), SNESDestroy() @*/ PetscErrorCode SNESSetUp(SNES snes) { PetscErrorCode ierr; DM dm; DMSNES sdm; SNESLineSearch linesearch, pclinesearch; void *lsprectx,*lspostctx; PetscErrorCode (*precheck)(SNESLineSearch,Vec,Vec,PetscBool*,void*); PetscErrorCode (*postcheck)(SNESLineSearch,Vec,Vec,Vec,PetscBool*,PetscBool*,void*); PetscErrorCode (*func)(SNES,Vec,Vec,void*); Vec f,fpc; void *funcctx; PetscErrorCode (*jac)(SNES,Vec,Mat*,Mat*,MatStructure*,void*); void *jacctx,*appctx; Mat A,B; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (snes->setupcalled) PetscFunctionReturn(0); if (!((PetscObject)snes)->type_name) { ierr = SNESSetType(snes,SNESNEWTONLS);CHKERRQ(ierr); } ierr = SNESGetFunction(snes,&snes->vec_func,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); if (snes->vec_func == snes->vec_sol) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_IDN,"Solution vector cannot be function vector"); if (snes->vec_rhs == snes->vec_sol) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_IDN,"Solution vector cannot be right hand side vector"); if (!snes->vec_sol_update /* && snes->vec_sol */) { ierr = VecDuplicate(snes->vec_sol,&snes->vec_sol_update);CHKERRQ(ierr); ierr = PetscLogObjectParent(snes,snes->vec_sol_update);CHKERRQ(ierr); } ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMShellSetGlobalVector(snes->dm,snes->vec_sol);CHKERRQ(ierr); ierr = DMGetDMSNES(dm,&sdm);CHKERRQ(ierr); if (!sdm->ops->computefunction) SETERRQ(((PetscObject)dm)->comm,PETSC_ERR_ARG_WRONGSTATE,"Function never provided to SNES object"); if (!sdm->ops->computejacobian) { ierr = DMSNESSetJacobian(dm,SNESDefaultComputeJacobianColor,PETSC_NULL);CHKERRQ(ierr); } if (!snes->vec_func) { ierr = DMCreateGlobalVector(dm,&snes->vec_func);CHKERRQ(ierr); } if (!snes->ksp) { ierr = SNESGetKSP(snes, &snes->ksp);CHKERRQ(ierr); } if (!snes->linesearch) { ierr = SNESGetSNESLineSearch(snes, &snes->linesearch);CHKERRQ(ierr); } if (snes->pc && (snes->pcside == PC_LEFT)) { snes->mf = PETSC_TRUE; snes->mf_operator = PETSC_FALSE; } if (snes->mf) { ierr = SNESSetUpMatrixFree_Private(snes, snes->mf_operator, snes->mf_version);CHKERRQ(ierr); } if (snes->ops->usercompute && !snes->user) { ierr = (*snes->ops->usercompute)(snes,(void**)&snes->user);CHKERRQ(ierr); } if (snes->pc) { /* copy the DM over */ ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = SNESSetDM(snes->pc,dm);CHKERRQ(ierr); ierr = SNESGetFunction(snes,&f,&func,&funcctx);CHKERRQ(ierr); ierr = VecDuplicate(f,&fpc);CHKERRQ(ierr); ierr = SNESSetFunction(snes->pc,fpc,func,funcctx);CHKERRQ(ierr); ierr = SNESGetJacobian(snes,&A,&B,&jac,&jacctx);CHKERRQ(ierr); ierr = SNESSetJacobian(snes->pc,A,B,jac,jacctx);CHKERRQ(ierr); ierr = SNESGetApplicationContext(snes,&appctx);CHKERRQ(ierr); ierr = SNESSetApplicationContext(snes->pc,appctx);CHKERRQ(ierr); ierr = VecDestroy(&fpc);CHKERRQ(ierr); /* copy the function pointers over */ ierr = PetscObjectCopyFortranFunctionPointers((PetscObject)snes,(PetscObject)snes->pc);CHKERRQ(ierr); /* default to 1 iteration */ ierr = SNESSetTolerances(snes->pc,0.0,0.0,0.0,1,snes->pc->max_funcs);CHKERRQ(ierr); if (snes->pcside==PC_RIGHT) { ierr = SNESSetNormType(snes->pc,SNES_NORM_FINAL_ONLY);CHKERRQ(ierr); } else { ierr = SNESSetNormType(snes->pc,SNES_NORM_NONE);CHKERRQ(ierr); } ierr = SNESSetFromOptions(snes->pc);CHKERRQ(ierr); /* copy the line search context over */ ierr = SNESGetSNESLineSearch(snes,&linesearch);CHKERRQ(ierr); ierr = SNESGetSNESLineSearch(snes->pc,&pclinesearch);CHKERRQ(ierr); ierr = SNESLineSearchGetPreCheck(linesearch,&precheck,&lsprectx);CHKERRQ(ierr); ierr = SNESLineSearchGetPostCheck(linesearch,&postcheck,&lspostctx);CHKERRQ(ierr); ierr = SNESLineSearchSetPreCheck(pclinesearch,precheck,lsprectx);CHKERRQ(ierr); ierr = SNESLineSearchSetPostCheck(pclinesearch,postcheck,lspostctx);CHKERRQ(ierr); ierr = PetscObjectCopyFortranFunctionPointers((PetscObject)linesearch, (PetscObject)pclinesearch);CHKERRQ(ierr); } if (snes->ops->setup) { ierr = (*snes->ops->setup)(snes);CHKERRQ(ierr); } snes->setupcalled = PETSC_TRUE; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESReset" /*@ SNESReset - Resets a SNES context to the snessetupcalled = 0 state and removes any allocated Vecs and Mats Collective on SNES Input Parameter: . snes - iterative context obtained from SNESCreate() Level: intermediate Notes: Also calls the application context destroy routine set with SNESSetComputeApplicationContext() .keywords: SNES, destroy .seealso: SNESCreate(), SNESSetUp(), SNESSolve() @*/ PetscErrorCode SNESReset(SNES snes) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (snes->ops->userdestroy && snes->user) { ierr = (*snes->ops->userdestroy)((void**)&snes->user);CHKERRQ(ierr); snes->user = PETSC_NULL; } if (snes->pc) { ierr = SNESReset(snes->pc);CHKERRQ(ierr); } if (snes->ops->reset) { ierr = (*snes->ops->reset)(snes);CHKERRQ(ierr); } if (snes->ksp) { ierr = KSPReset(snes->ksp);CHKERRQ(ierr); } if (snes->linesearch) { ierr = SNESLineSearchReset(snes->linesearch);CHKERRQ(ierr); } ierr = VecDestroy(&snes->vec_rhs);CHKERRQ(ierr); ierr = VecDestroy(&snes->vec_sol);CHKERRQ(ierr); ierr = VecDestroy(&snes->vec_sol_update);CHKERRQ(ierr); ierr = VecDestroy(&snes->vec_func);CHKERRQ(ierr); ierr = MatDestroy(&snes->jacobian);CHKERRQ(ierr); ierr = MatDestroy(&snes->jacobian_pre);CHKERRQ(ierr); ierr = VecDestroyVecs(snes->nwork,&snes->work);CHKERRQ(ierr); ierr = VecDestroyVecs(snes->nvwork,&snes->vwork);CHKERRQ(ierr); snes->nwork = snes->nvwork = 0; snes->setupcalled = PETSC_FALSE; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESDestroy" /*@ SNESDestroy - Destroys the nonlinear solver context that was created with SNESCreate(). Collective on SNES Input Parameter: . snes - the SNES context Level: beginner .keywords: SNES, nonlinear, destroy .seealso: SNESCreate(), SNESSolve() @*/ PetscErrorCode SNESDestroy(SNES *snes) { PetscErrorCode ierr; PetscFunctionBegin; if (!*snes) PetscFunctionReturn(0); PetscValidHeaderSpecific((*snes),SNES_CLASSID,1); if (--((PetscObject)(*snes))->refct > 0) {*snes = 0; PetscFunctionReturn(0);} ierr = SNESReset((*snes));CHKERRQ(ierr); ierr = SNESDestroy(&(*snes)->pc);CHKERRQ(ierr); /* if memory was published with AMS then destroy it */ ierr = PetscObjectDepublish((*snes));CHKERRQ(ierr); if ((*snes)->ops->destroy) {ierr = (*((*snes))->ops->destroy)((*snes));CHKERRQ(ierr);} ierr = DMDestroy(&(*snes)->dm);CHKERRQ(ierr); ierr = KSPDestroy(&(*snes)->ksp);CHKERRQ(ierr); ierr = SNESLineSearchDestroy(&(*snes)->linesearch);CHKERRQ(ierr); ierr = PetscFree((*snes)->kspconvctx);CHKERRQ(ierr); if ((*snes)->ops->convergeddestroy) { ierr = (*(*snes)->ops->convergeddestroy)((*snes)->cnvP);CHKERRQ(ierr); } if ((*snes)->conv_malloc) { ierr = PetscFree((*snes)->conv_hist);CHKERRQ(ierr); ierr = PetscFree((*snes)->conv_hist_its);CHKERRQ(ierr); } ierr = SNESMonitorCancel((*snes));CHKERRQ(ierr); ierr = PetscHeaderDestroy(snes);CHKERRQ(ierr); PetscFunctionReturn(0); } /* ----------- Routines to set solver parameters ---------- */ #undef __FUNCT__ #define __FUNCT__ "SNESSetLagPreconditioner" /*@ SNESSetLagPreconditioner - Determines when the preconditioner is rebuilt in the nonlinear solve. Logically Collective on SNES Input Parameters: + snes - the SNES context - lag - -1 indicates NEVER rebuild, 1 means rebuild every time the Jacobian is computed within a single nonlinear solve, 2 means every second time the Jacobian is built etc. -2 indicates rebuild preconditioner at next chance but then never rebuild after that Options Database Keys: . -snes_lag_preconditioner Notes: The default is 1 The preconditioner is ALWAYS built in the first iteration of a nonlinear solve unless lag is -1 If -1 is used before the very first nonlinear solve the preconditioner is still built because there is no previous preconditioner to use Level: intermediate .keywords: SNES, nonlinear, set, convergence, tolerances .seealso: SNESSetTrustRegionTolerance(), SNESGetLagPreconditioner(), SNESSetLagJacobian(), SNESGetLagJacobian() @*/ PetscErrorCode SNESSetLagPreconditioner(SNES snes,PetscInt lag) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (lag < -2) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Lag must be -2, -1, 1 or greater"); if (!lag) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Lag cannot be 0"); PetscValidLogicalCollectiveInt(snes,lag,2); snes->lagpreconditioner = lag; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetGridSequence" /*@ SNESSetGridSequence - sets the number of steps of grid sequencing that SNES does Logically Collective on SNES Input Parameters: + snes - the SNES context - steps - the number of refinements to do, defaults to 0 Options Database Keys: . -snes_grid_sequence Level: intermediate Notes: Use SNESGetSolution() to extract the fine grid solution after grid sequencing. .keywords: SNES, nonlinear, set, convergence, tolerances .seealso: SNESSetTrustRegionTolerance(), SNESGetLagPreconditioner(), SNESSetLagJacobian(), SNESGetLagJacobian() @*/ PetscErrorCode SNESSetGridSequence(SNES snes,PetscInt steps) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidLogicalCollectiveInt(snes,steps,2); snes->gridsequence = steps; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetLagPreconditioner" /*@ SNESGetLagPreconditioner - Indicates how often the preconditioner is rebuilt Not Collective Input Parameter: . snes - the SNES context Output Parameter: . lag - -1 indicates NEVER rebuild, 1 means rebuild every time the Jacobian is computed within a single nonlinear solve, 2 means every second time the Jacobian is built etc. -2 indicates rebuild preconditioner at next chance but then never rebuild after that Options Database Keys: . -snes_lag_preconditioner Notes: The default is 1 The preconditioner is ALWAYS built in the first iteration of a nonlinear solve unless lag is -1 Level: intermediate .keywords: SNES, nonlinear, set, convergence, tolerances .seealso: SNESSetTrustRegionTolerance(), SNESSetLagPreconditioner() @*/ PetscErrorCode SNESGetLagPreconditioner(SNES snes,PetscInt *lag) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); *lag = snes->lagpreconditioner; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetLagJacobian" /*@ SNESSetLagJacobian - Determines when the Jacobian is rebuilt in the nonlinear solve. See SNESSetLagPreconditioner() for determining how often the preconditioner is rebuilt. Logically Collective on SNES Input Parameters: + snes - the SNES context - lag - -1 indicates NEVER rebuild, 1 means rebuild every time the Jacobian is computed within a single nonlinear solve, 2 means every second time the Jacobian is built etc. -2 means rebuild at next chance but then never again Options Database Keys: . -snes_lag_jacobian Notes: The default is 1 The Jacobian is ALWAYS built in the first iteration of a nonlinear solve unless lag is -1 If -1 is used before the very first nonlinear solve the CODE WILL FAIL! because no Jacobian is used, use -2 to indicate you want it recomputed at the next Newton step but never again (unless it is reset to another value) Level: intermediate .keywords: SNES, nonlinear, set, convergence, tolerances .seealso: SNESSetTrustRegionTolerance(), SNESGetLagPreconditioner(), SNESSetLagPreconditioner(), SNESGetLagJacobian() @*/ PetscErrorCode SNESSetLagJacobian(SNES snes,PetscInt lag) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (lag < -2) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Lag must be -2, -1, 1 or greater"); if (!lag) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Lag cannot be 0"); PetscValidLogicalCollectiveInt(snes,lag,2); snes->lagjacobian = lag; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetLagJacobian" /*@ SNESGetLagJacobian - Indicates how often the Jacobian is rebuilt. See SNESGetLagPreconditioner() to determine when the preconditioner is rebuilt Not Collective Input Parameter: . snes - the SNES context Output Parameter: . lag - -1 indicates NEVER rebuild, 1 means rebuild every time the Jacobian is computed within a single nonlinear solve, 2 means every second time the Jacobian is built etc. Options Database Keys: . -snes_lag_jacobian Notes: The default is 1 The jacobian is ALWAYS built in the first iteration of a nonlinear solve unless lag is -1 Level: intermediate .keywords: SNES, nonlinear, set, convergence, tolerances .seealso: SNESSetTrustRegionTolerance(), SNESSetLagJacobian(), SNESSetLagPreconditioner(), SNESGetLagPreconditioner() @*/ PetscErrorCode SNESGetLagJacobian(SNES snes,PetscInt *lag) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); *lag = snes->lagjacobian; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetTolerances" /*@ SNESSetTolerances - Sets various parameters used in convergence tests. Logically Collective on SNES Input Parameters: + snes - the SNES context . abstol - absolute convergence tolerance . rtol - relative convergence tolerance . stol - convergence tolerance in terms of the norm of the change in the solution between steps, || delta x || < stol*|| x || . maxit - maximum number of iterations - maxf - maximum number of function evaluations Options Database Keys: + -snes_atol - Sets abstol . -snes_rtol - Sets rtol . -snes_stol - Sets stol . -snes_max_it - Sets maxit - -snes_max_funcs - Sets maxf Notes: The default maximum number of iterations is 50. The default maximum number of function evaluations is 1000. Level: intermediate .keywords: SNES, nonlinear, set, convergence, tolerances .seealso: SNESSetTrustRegionTolerance() @*/ PetscErrorCode SNESSetTolerances(SNES snes,PetscReal abstol,PetscReal rtol,PetscReal stol,PetscInt maxit,PetscInt maxf) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidLogicalCollectiveReal(snes,abstol,2); PetscValidLogicalCollectiveReal(snes,rtol,3); PetscValidLogicalCollectiveReal(snes,stol,4); PetscValidLogicalCollectiveInt(snes,maxit,5); PetscValidLogicalCollectiveInt(snes,maxf,6); if (abstol != PETSC_DEFAULT) { if (abstol < 0.0) SETERRQ1(((PetscObject)snes)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Absolute tolerance %G must be non-negative",abstol); snes->abstol = abstol; } if (rtol != PETSC_DEFAULT) { if (rtol < 0.0 || 1.0 <= rtol) SETERRQ1(((PetscObject)snes)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Relative tolerance %G must be non-negative and less than 1.0",rtol); snes->rtol = rtol; } if (stol != PETSC_DEFAULT) { if (stol < 0.0) SETERRQ1(((PetscObject)snes)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Step tolerance %G must be non-negative",stol); snes->stol = stol; } if (maxit != PETSC_DEFAULT) { if (maxit < 0) SETERRQ1(((PetscObject)snes)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Maximum number of iterations %D must be non-negative",maxit); snes->max_its = maxit; } if (maxf != PETSC_DEFAULT) { if (maxf < 0) SETERRQ1(((PetscObject)snes)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Maximum number of function evaluations %D must be non-negative",maxf); snes->max_funcs = maxf; } snes->tolerancesset = PETSC_TRUE; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetTolerances" /*@ SNESGetTolerances - Gets various parameters used in convergence tests. Not Collective Input Parameters: + snes - the SNES context . atol - absolute convergence tolerance . rtol - relative convergence tolerance . stol - convergence tolerance in terms of the norm of the change in the solution between steps . maxit - maximum number of iterations - maxf - maximum number of function evaluations Notes: The user can specify PETSC_NULL for any parameter that is not needed. Level: intermediate .keywords: SNES, nonlinear, get, convergence, tolerances .seealso: SNESSetTolerances() @*/ PetscErrorCode SNESGetTolerances(SNES snes,PetscReal *atol,PetscReal *rtol,PetscReal *stol,PetscInt *maxit,PetscInt *maxf) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (atol) *atol = snes->abstol; if (rtol) *rtol = snes->rtol; if (stol) *stol = snes->stol; if (maxit) *maxit = snes->max_its; if (maxf) *maxf = snes->max_funcs; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetTrustRegionTolerance" /*@ SNESSetTrustRegionTolerance - Sets the trust region parameter tolerance. Logically Collective on SNES Input Parameters: + snes - the SNES context - tol - tolerance Options Database Key: . -snes_trtol - Sets tol Level: intermediate .keywords: SNES, nonlinear, set, trust region, tolerance .seealso: SNESSetTolerances() @*/ PetscErrorCode SNESSetTrustRegionTolerance(SNES snes,PetscReal tol) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidLogicalCollectiveReal(snes,tol,2); snes->deltatol = tol; PetscFunctionReturn(0); } /* Duplicate the lg monitors for SNES from KSP; for some reason with dynamic libraries things don't work under Sun4 if we just use macros instead of functions */ #undef __FUNCT__ #define __FUNCT__ "SNESMonitorLGResidualNorm" PetscErrorCode SNESMonitorLGResidualNorm(SNES snes,PetscInt it,PetscReal norm,void *ctx) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); ierr = KSPMonitorLGResidualNorm((KSP)snes,it,norm,ctx);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESMonitorLGCreate" PetscErrorCode SNESMonitorLGCreate(const char host[],const char label[],int x,int y,int m,int n,PetscDrawLG *draw) { PetscErrorCode ierr; PetscFunctionBegin; ierr = KSPMonitorLGResidualNormCreate(host,label,x,y,m,n,draw);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESMonitorLGDestroy" PetscErrorCode SNESMonitorLGDestroy(PetscDrawLG *draw) { PetscErrorCode ierr; PetscFunctionBegin; ierr = KSPMonitorLGResidualNormDestroy(draw);CHKERRQ(ierr); PetscFunctionReturn(0); } extern PetscErrorCode SNESMonitorRange_Private(SNES,PetscInt,PetscReal*); #undef __FUNCT__ #define __FUNCT__ "SNESMonitorLGRange" PetscErrorCode SNESMonitorLGRange(SNES snes,PetscInt n,PetscReal rnorm,void *monctx) { PetscDrawLG lg; PetscErrorCode ierr; PetscReal x,y,per; PetscViewer v = (PetscViewer)monctx; static PetscReal prev; /* should be in the context */ PetscDraw draw; PetscFunctionBegin; ierr = PetscViewerDrawGetDrawLG(v,0,&lg);CHKERRQ(ierr); if (!n) {ierr = PetscDrawLGReset(lg);CHKERRQ(ierr);} ierr = PetscDrawLGGetDraw(lg,&draw);CHKERRQ(ierr); ierr = PetscDrawSetTitle(draw,"Residual norm");CHKERRQ(ierr); x = (PetscReal)n; if (rnorm > 0.0) y = log10(rnorm);else y = -15.0; ierr = PetscDrawLGAddPoint(lg,&x,&y);CHKERRQ(ierr); if (n < 20 || !(n % 5)) { ierr = PetscDrawLGDraw(lg);CHKERRQ(ierr); } ierr = PetscViewerDrawGetDrawLG(v,1,&lg);CHKERRQ(ierr); if (!n) {ierr = PetscDrawLGReset(lg);CHKERRQ(ierr);} ierr = PetscDrawLGGetDraw(lg,&draw);CHKERRQ(ierr); ierr = PetscDrawSetTitle(draw,"% elemts > .2*max elemt");CHKERRQ(ierr); ierr = SNESMonitorRange_Private(snes,n,&per);CHKERRQ(ierr); x = (PetscReal)n; y = 100.0*per; ierr = PetscDrawLGAddPoint(lg,&x,&y);CHKERRQ(ierr); if (n < 20 || !(n % 5)) { ierr = PetscDrawLGDraw(lg);CHKERRQ(ierr); } ierr = PetscViewerDrawGetDrawLG(v,2,&lg);CHKERRQ(ierr); if (!n) {prev = rnorm;ierr = PetscDrawLGReset(lg);CHKERRQ(ierr);} ierr = PetscDrawLGGetDraw(lg,&draw);CHKERRQ(ierr); ierr = PetscDrawSetTitle(draw,"(norm -oldnorm)/oldnorm");CHKERRQ(ierr); x = (PetscReal)n; y = (prev - rnorm)/prev; ierr = PetscDrawLGAddPoint(lg,&x,&y);CHKERRQ(ierr); if (n < 20 || !(n % 5)) { ierr = PetscDrawLGDraw(lg);CHKERRQ(ierr); } ierr = PetscViewerDrawGetDrawLG(v,3,&lg);CHKERRQ(ierr); if (!n) {ierr = PetscDrawLGReset(lg);CHKERRQ(ierr);} ierr = PetscDrawLGGetDraw(lg,&draw);CHKERRQ(ierr); ierr = PetscDrawSetTitle(draw,"(norm -oldnorm)/oldnorm*(% > .2 max)");CHKERRQ(ierr); x = (PetscReal)n; y = (prev - rnorm)/(prev*per); if (n > 2) { /*skip initial crazy value */ ierr = PetscDrawLGAddPoint(lg,&x,&y);CHKERRQ(ierr); } if (n < 20 || !(n % 5)) { ierr = PetscDrawLGDraw(lg);CHKERRQ(ierr); } prev = rnorm; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESMonitor" /*@ SNESMonitor - runs the user provided monitor routines, if they exist Collective on SNES Input Parameters: + snes - nonlinear solver context obtained from SNESCreate() . iter - iteration number - rnorm - relative norm of the residual Notes: This routine is called by the SNES implementations. It does not typically need to be called by the user. Level: developer .seealso: SNESMonitorSet() @*/ PetscErrorCode SNESMonitor(SNES snes,PetscInt iter,PetscReal rnorm) { PetscErrorCode ierr; PetscInt i,n = snes->numbermonitors; PetscFunctionBegin; for (i=0; imonitor[i])(snes,iter,rnorm,snes->monitorcontext[i]);CHKERRQ(ierr); } PetscFunctionReturn(0); } /* ------------ Routines to set performance monitoring options ----------- */ /*MC SNESMonitorFunction - functional form passed to SNESMonitorSet() to monitor convergence of nonlinear solver Synopsis: #include "petscsnes.h" $ PetscErrorCode SNESMonitorFunction(SNES snes,PetscInt its, PetscReal norm,void *mctx) + snes - the SNES context . its - iteration number . norm - 2-norm function value (may be estimated) - mctx - [optional] monitoring context .seealso: SNESMonitorSet(), SNESMonitorGet() M*/ #undef __FUNCT__ #define __FUNCT__ "SNESMonitorSet" /*@C SNESMonitorSet - Sets an ADDITIONAL function that is to be used at every iteration of the nonlinear solver to display the iteration's progress. Logically Collective on SNES Input Parameters: + snes - the SNES context . SNESMonitorFunction - monitoring routine . mctx - [optional] user-defined context for private data for the monitor routine (use PETSC_NULL if no context is desired) - monitordestroy - [optional] routine that frees monitor context (may be PETSC_NULL) Options Database Keys: + -snes_monitor - sets SNESMonitorDefault() . -snes_monitor_lg_residualnorm - sets line graph monitor, uses SNESMonitorLGCreate() - -snes_monitor_cancel - cancels all monitors that have been hardwired into a code by calls to SNESMonitorSet(), but does not cancel those set via the options database. Notes: Several different monitoring routines may be set by calling SNESMonitorSet() multiple times; all will be called in the order in which they were set. Fortran notes: Only a single monitor function can be set for each SNES object Level: intermediate .keywords: SNES, nonlinear, set, monitor .seealso: SNESMonitorDefault(), SNESMonitorCancel(), SNESMonitorFunction @*/ PetscErrorCode SNESMonitorSet(SNES snes,PetscErrorCode (*SNESMonitorFunction)(SNES,PetscInt,PetscReal,void*),void *mctx,PetscErrorCode (*monitordestroy)(void**)) { PetscInt i; PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (snes->numbermonitors >= MAXSNESMONITORS) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Too many monitors set"); for (i=0; inumbermonitors;i++) { if (SNESMonitorFunction == snes->monitor[i] && monitordestroy == snes->monitordestroy[i] && mctx == snes->monitorcontext[i]) { if (monitordestroy) { ierr = (*monitordestroy)(&mctx);CHKERRQ(ierr); } PetscFunctionReturn(0); } } snes->monitor[snes->numbermonitors] = SNESMonitorFunction; snes->monitordestroy[snes->numbermonitors] = monitordestroy; snes->monitorcontext[snes->numbermonitors++] = (void*)mctx; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESMonitorCancel" /*@C SNESMonitorCancel - Clears all the monitor functions for a SNES object. Logically Collective on SNES Input Parameters: . snes - the SNES context Options Database Key: . -snes_monitor_cancel - cancels all monitors that have been hardwired into a code by calls to SNESMonitorSet(), but does not cancel those set via the options database Notes: There is no way to clear one specific monitor from a SNES object. Level: intermediate .keywords: SNES, nonlinear, set, monitor .seealso: SNESMonitorDefault(), SNESMonitorSet() @*/ PetscErrorCode SNESMonitorCancel(SNES snes) { PetscErrorCode ierr; PetscInt i; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); for (i=0; inumbermonitors; i++) { if (snes->monitordestroy[i]) { ierr = (*snes->monitordestroy[i])(&snes->monitorcontext[i]);CHKERRQ(ierr); } } snes->numbermonitors = 0; PetscFunctionReturn(0); } /*MC SNESConvergenceTestFunction - functional form used for testing of convergence of nonlinear solver Synopsis: #include "petscsnes.h" $ PetscErrorCode SNESConvergenceTest(SNES snes,PetscInt it,PetscReal xnorm,PetscReal gnorm,PetscReal f,SNESConvergedReason *reason,void *cctx) + snes - the SNES context . it - current iteration (0 is the first and is before any Newton step) . cctx - [optional] convergence context . reason - reason for convergence/divergence . xnorm - 2-norm of current iterate . gnorm - 2-norm of current step - f - 2-norm of function .seealso: SNESSetConvergenceTest(), SNESGetConvergenceTest() M*/ #undef __FUNCT__ #define __FUNCT__ "SNESSetConvergenceTest" /*@C SNESSetConvergenceTest - Sets the function that is to be used to test for convergence of the nonlinear iterative solution. Logically Collective on SNES Input Parameters: + snes - the SNES context . SNESConvergenceTestFunction - routine to test for convergence . cctx - [optional] context for private data for the convergence routine (may be PETSC_NULL) - destroy - [optional] destructor for the context (may be PETSC_NULL; PETSC_NULL_FUNCTION in Fortran) Level: advanced .keywords: SNES, nonlinear, set, convergence, test .seealso: SNESDefaultConverged(), SNESSkipConverged(), SNESConvergenceTestFunction @*/ PetscErrorCode SNESSetConvergenceTest(SNES snes,PetscErrorCode (*SNESConvergenceTestFunction)(SNES,PetscInt,PetscReal,PetscReal,PetscReal,SNESConvergedReason*,void*),void *cctx,PetscErrorCode (*destroy)(void*)) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (!SNESConvergenceTestFunction) SNESConvergenceTestFunction = SNESSkipConverged; if (snes->ops->convergeddestroy) { ierr = (*snes->ops->convergeddestroy)(snes->cnvP);CHKERRQ(ierr); } snes->ops->converged = SNESConvergenceTestFunction; snes->ops->convergeddestroy = destroy; snes->cnvP = cctx; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetConvergedReason" /*@ SNESGetConvergedReason - Gets the reason the SNES iteration was stopped. Not Collective Input Parameter: . snes - the SNES context Output Parameter: . reason - negative value indicates diverged, positive value converged, see SNESConvergedReason or the manual pages for the individual convergence tests for complete lists Level: intermediate Notes: Can only be called after the call the SNESSolve() is complete. .keywords: SNES, nonlinear, set, convergence, test .seealso: SNESSetConvergenceTest(), SNESConvergedReason @*/ PetscErrorCode SNESGetConvergedReason(SNES snes,SNESConvergedReason *reason) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidPointer(reason,2); *reason = snes->reason; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetConvergenceHistory" /*@ SNESSetConvergenceHistory - Sets the array used to hold the convergence history. Logically Collective on SNES Input Parameters: + snes - iterative context obtained from SNESCreate() . a - array to hold history, this array will contain the function norms computed at each step . its - integer array holds the number of linear iterations for each solve. . na - size of a and its - reset - PETSC_TRUE indicates each new nonlinear solve resets the history counter to zero, else it continues storing new values for new nonlinear solves after the old ones Notes: If 'a' and 'its' are PETSC_NULL then space is allocated for the history. If 'na' PETSC_DECIDE or PETSC_DEFAULT then a default array of length 10000 is allocated. This routine is useful, e.g., when running a code for purposes of accurate performance monitoring, when no I/O should be done during the section of code that is being timed. Level: intermediate .keywords: SNES, set, convergence, history .seealso: SNESGetConvergenceHistory() @*/ PetscErrorCode SNESSetConvergenceHistory(SNES snes,PetscReal a[],PetscInt its[],PetscInt na,PetscBool reset) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (na) PetscValidScalarPointer(a,2); if (its) PetscValidIntPointer(its,3); if (na == PETSC_DECIDE || na == PETSC_DEFAULT || !a) { if (na == PETSC_DECIDE || na == PETSC_DEFAULT) na = 1000; ierr = PetscMalloc(na*sizeof(PetscReal),&a);CHKERRQ(ierr); ierr = PetscMalloc(na*sizeof(PetscInt),&its);CHKERRQ(ierr); snes->conv_malloc = PETSC_TRUE; } snes->conv_hist = a; snes->conv_hist_its = its; snes->conv_hist_max = na; snes->conv_hist_len = 0; snes->conv_hist_reset = reset; PetscFunctionReturn(0); } #if defined(PETSC_HAVE_MATLAB_ENGINE) #include /* MATLAB include file */ #include /* MATLAB include file */ EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "SNESGetConvergenceHistoryMatlab" mxArray *SNESGetConvergenceHistoryMatlab(SNES snes) { mxArray *mat; PetscInt i; PetscReal *ar; PetscFunctionBegin; mat = mxCreateDoubleMatrix(snes->conv_hist_len,1,mxREAL); ar = (PetscReal*) mxGetData(mat); for (i=0; iconv_hist_len; i++) ar[i] = snes->conv_hist[i]; PetscFunctionReturn(mat); } EXTERN_C_END #endif #undef __FUNCT__ #define __FUNCT__ "SNESGetConvergenceHistory" /*@C SNESGetConvergenceHistory - Gets the array used to hold the convergence history. Not Collective Input Parameter: . snes - iterative context obtained from SNESCreate() Output Parameters: . a - array to hold history . its - integer array holds the number of linear iterations (or negative if not converged) for each solve. - na - size of a and its Notes: The calling sequence for this routine in Fortran is $ call SNESGetConvergenceHistory(SNES snes, integer na, integer ierr) This routine is useful, e.g., when running a code for purposes of accurate performance monitoring, when no I/O should be done during the section of code that is being timed. Level: intermediate .keywords: SNES, get, convergence, history .seealso: SNESSetConvergencHistory() @*/ PetscErrorCode SNESGetConvergenceHistory(SNES snes,PetscReal *a[],PetscInt *its[],PetscInt *na) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (a) *a = snes->conv_hist; if (its) *its = snes->conv_hist_its; if (na) *na = snes->conv_hist_len; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetUpdate" /*@C SNESSetUpdate - Sets the general-purpose update function called at the beginning of every iteration of the nonlinear solve. Specifically it is called just before the Jacobian is "evaluated". Logically Collective on SNES Input Parameters: . snes - The nonlinear solver context . func - The function Calling sequence of func: . func (SNES snes, PetscInt step); . step - The current step of the iteration Level: advanced Note: This is NOT what one uses to update the ghost points before a function evaluation, that should be done at the beginning of your FormFunction() This is not used by most users. .keywords: SNES, update .seealso SNESDefaultUpdate(), SNESSetJacobian(), SNESSolve() @*/ PetscErrorCode SNESSetUpdate(SNES snes, PetscErrorCode (*func)(SNES, PetscInt)) { PetscFunctionBegin; PetscValidHeaderSpecific(snes, SNES_CLASSID,1); snes->ops->update = func; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESDefaultUpdate" /*@ SNESDefaultUpdate - The default update function which does nothing. Not collective Input Parameters: . snes - The nonlinear solver context . step - The current step of the iteration Level: intermediate .keywords: SNES, update .seealso SNESSetUpdate(), SNESDefaultRhsBC(), SNESDefaultShortolutionBC() @*/ PetscErrorCode SNESDefaultUpdate(SNES snes, PetscInt step) { PetscFunctionBegin; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESScaleStep_Private" /* SNESScaleStep_Private - Scales a step so that its length is less than the positive parameter delta. Input Parameters: + snes - the SNES context . y - approximate solution of linear system . fnorm - 2-norm of current function - delta - trust region size Output Parameters: + gpnorm - predicted function norm at the new point, assuming local linearization. The value is zero if the step lies within the trust region, and exceeds zero otherwise. - ynorm - 2-norm of the step Note: For non-trust region methods such as SNESNEWTONLS, the parameter delta is set to be the maximum allowable step size. .keywords: SNES, nonlinear, scale, step */ PetscErrorCode SNESScaleStep_Private(SNES snes,Vec y,PetscReal *fnorm,PetscReal *delta,PetscReal *gpnorm,PetscReal *ynorm) { PetscReal nrm; PetscScalar cnorm; PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidHeaderSpecific(y,VEC_CLASSID,2); PetscCheckSameComm(snes,1,y,2); ierr = VecNorm(y,NORM_2,&nrm);CHKERRQ(ierr); if (nrm > *delta) { nrm = *delta/nrm; *gpnorm = (1.0 - nrm)*(*fnorm); cnorm = nrm; ierr = VecScale(y,cnorm);CHKERRQ(ierr); *ynorm = *delta; } else { *gpnorm = 0.0; *ynorm = nrm; } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSolve" /*@C SNESSolve - Solves a nonlinear system F(x) = b. Call SNESSolve() after calling SNESCreate() and optional routines of the form SNESSetXXX(). Collective on SNES Input Parameters: + snes - the SNES context . b - the constant part of the equation F(x) = b, or PETSC_NULL to use zero. - x - the solution vector. Notes: The user should initialize the vector,x, with the initial guess for the nonlinear solve prior to calling SNESSolve. In particular, to employ an initial guess of zero, the user should explicitly set this vector to zero by calling VecSet(). Level: beginner .keywords: SNES, nonlinear, solve .seealso: SNESCreate(), SNESDestroy(), SNESSetFunction(), SNESSetJacobian(), SNESSetGridSequence(), SNESGetSolution() @*/ PetscErrorCode SNESSolve(SNES snes,Vec b,Vec x) { PetscErrorCode ierr; PetscBool flg; PetscViewer viewer; PetscInt grid; Vec xcreated = PETSC_NULL; DM dm; PetscViewerFormat format; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (x) PetscValidHeaderSpecific(x,VEC_CLASSID,3); if (x) PetscCheckSameComm(snes,1,x,3); if (b) PetscValidHeaderSpecific(b,VEC_CLASSID,2); if (b) PetscCheckSameComm(snes,1,b,2); if (!x) { ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMCreateGlobalVector(dm,&xcreated);CHKERRQ(ierr); x = xcreated; } for (grid=0; gridgridsequence; grid++) {ierr = PetscViewerASCIIPushTab(PETSC_VIEWER_STDOUT_(((PetscObject)snes)->comm));CHKERRQ(ierr);} for (grid=0; gridgridsequence+1; grid++) { /* set solution vector */ if (!grid) {ierr = PetscObjectReference((PetscObject)x);CHKERRQ(ierr);} ierr = VecDestroy(&snes->vec_sol);CHKERRQ(ierr); snes->vec_sol = x; ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); /* set affine vector if provided */ if (b) { ierr = PetscObjectReference((PetscObject)b);CHKERRQ(ierr); } ierr = VecDestroy(&snes->vec_rhs);CHKERRQ(ierr); snes->vec_rhs = b; ierr = SNESSetUp(snes);CHKERRQ(ierr); if (!grid) { if (snes->ops->computeinitialguess) { ierr = (*snes->ops->computeinitialguess)(snes,snes->vec_sol,snes->initialguessP);CHKERRQ(ierr); } } if (snes->conv_hist_reset) snes->conv_hist_len = 0; snes->nfuncs = 0; snes->linear_its = 0; snes->numFailures = 0; ierr = PetscLogEventBegin(SNES_Solve,snes,0,0,0);CHKERRQ(ierr); ierr = (*snes->ops->solve)(snes);CHKERRQ(ierr); ierr = PetscLogEventEnd(SNES_Solve,snes,0,0,0);CHKERRQ(ierr); if (snes->domainerror) { snes->reason = SNES_DIVERGED_FUNCTION_DOMAIN; snes->domainerror = PETSC_FALSE; } if (!snes->reason) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Internal error, solver returned without setting converged reason"); flg = PETSC_FALSE; ierr = PetscOptionsGetBool(((PetscObject)snes)->prefix,"-snes_test_local_min",&flg,PETSC_NULL);CHKERRQ(ierr); if (flg && !PetscPreLoadingOn) { ierr = SNESTestLocalMin(snes);CHKERRQ(ierr); } if (snes->printreason) { ierr = PetscViewerASCIIAddTab(PETSC_VIEWER_STDOUT_(((PetscObject)snes)->comm),((PetscObject)snes)->tablevel);CHKERRQ(ierr); if (snes->reason > 0) { ierr = PetscViewerASCIIPrintf(PETSC_VIEWER_STDOUT_(((PetscObject)snes)->comm),"Nonlinear solve converged due to %s iterations %D\n",SNESConvergedReasons[snes->reason],snes->iter);CHKERRQ(ierr); } else { ierr = PetscViewerASCIIPrintf(PETSC_VIEWER_STDOUT_(((PetscObject)snes)->comm),"Nonlinear solve did not converge due to %s iterations %D\n",SNESConvergedReasons[snes->reason],snes->iter);CHKERRQ(ierr); } ierr = PetscViewerASCIISubtractTab(PETSC_VIEWER_STDOUT_(((PetscObject)snes)->comm),((PetscObject)snes)->tablevel);CHKERRQ(ierr); } if (snes->errorifnotconverged && snes->reason < 0) SETERRQ(((PetscObject)snes)->comm,PETSC_ERR_NOT_CONVERGED,"SNESSolve has not converged"); if (grid < snes->gridsequence) { DM fine; Vec xnew; Mat interp; ierr = DMRefine(snes->dm,((PetscObject)snes)->comm,&fine);CHKERRQ(ierr); if (!fine) SETERRQ(((PetscObject)snes)->comm,PETSC_ERR_ARG_INCOMP,"DMRefine() did not perform any refinement, cannot continue grid sequencing"); ierr = DMCreateInterpolation(snes->dm,fine,&interp,PETSC_NULL);CHKERRQ(ierr); ierr = DMCreateGlobalVector(fine,&xnew);CHKERRQ(ierr); ierr = MatInterpolate(interp,x,xnew);CHKERRQ(ierr); ierr = DMInterpolate(snes->dm,interp,fine);CHKERRQ(ierr); ierr = MatDestroy(&interp);CHKERRQ(ierr); x = xnew; ierr = SNESReset(snes);CHKERRQ(ierr); ierr = SNESSetDM(snes,fine);CHKERRQ(ierr); ierr = DMDestroy(&fine);CHKERRQ(ierr); ierr = PetscViewerASCIIPopTab(PETSC_VIEWER_STDOUT_(((PetscObject)snes)->comm));CHKERRQ(ierr); } } /* monitoring and viewing */ ierr = PetscOptionsGetViewer(((PetscObject)snes)->comm,((PetscObject)snes)->prefix,"-snes_view",&viewer,&format,&flg);CHKERRQ(ierr); if (flg && !PetscPreLoadingOn) { ierr = PetscViewerPushFormat(viewer,format);CHKERRQ(ierr); ierr = SNESView(snes,viewer);CHKERRQ(ierr); ierr = PetscViewerPopFormat(viewer);CHKERRQ(ierr); ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr); } ierr = VecViewFromOptions(snes->vec_sol,"-snes_view_solution");CHKERRQ(ierr); ierr = VecDestroy(&xcreated);CHKERRQ(ierr); PetscFunctionReturn(0); } /* --------- Internal routines for SNES Package --------- */ #undef __FUNCT__ #define __FUNCT__ "SNESSetType" /*@C SNESSetType - Sets the method for the nonlinear solver. Collective on SNES Input Parameters: + snes - the SNES context - type - a known method Options Database Key: . -snes_type - Sets the method; use -help for a list of available methods (for instance, newtonls or newtontr) Notes: See "petsc/include/petscsnes.h" for available methods (for instance) + SNESNEWTONLS - Newton's method with line search (systems of nonlinear equations) . SNESNEWTONTR - Newton's method with trust region (systems of nonlinear equations) Normally, it is best to use the SNESSetFromOptions() command and then set the SNES solver type from the options database rather than by using this routine. Using the options database provides the user with maximum flexibility in evaluating the many nonlinear solvers. The SNESSetType() routine is provided for those situations where it is necessary to set the nonlinear solver independently of the command line or options database. This might be the case, for example, when the choice of solver changes during the execution of the program, and the user's application is taking responsibility for choosing the appropriate method. Level: intermediate .keywords: SNES, set, type .seealso: SNESType, SNESCreate() @*/ PetscErrorCode SNESSetType(SNES snes,SNESType type) { PetscErrorCode ierr,(*r)(SNES); PetscBool match; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidCharPointer(type,2); ierr = PetscObjectTypeCompare((PetscObject)snes,type,&match);CHKERRQ(ierr); if (match) PetscFunctionReturn(0); ierr = PetscFunctionListFind(((PetscObject)snes)->comm,SNESList,type,PETSC_TRUE,(void (**)(void)) &r);CHKERRQ(ierr); if (!r) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_UNKNOWN_TYPE,"Unable to find requested SNES type %s",type); /* Destroy the previous private SNES context */ if (snes->ops->destroy) { ierr = (*(snes)->ops->destroy)(snes);CHKERRQ(ierr); snes->ops->destroy = PETSC_NULL; } /* Reinitialize function pointers in SNESOps structure */ snes->ops->setup = 0; snes->ops->solve = 0; snes->ops->view = 0; snes->ops->setfromoptions = 0; snes->ops->destroy = 0; /* Call the SNESCreate_XXX routine for this particular Nonlinear solver */ snes->setupcalled = PETSC_FALSE; ierr = PetscObjectChangeTypeName((PetscObject)snes,type);CHKERRQ(ierr); ierr = (*r)(snes);CHKERRQ(ierr); #if defined(PETSC_HAVE_AMS) if (PetscAMSPublishAll) { ierr = PetscObjectAMSPublish((PetscObject)snes);CHKERRQ(ierr); } #endif PetscFunctionReturn(0); } /* --------------------------------------------------------------------- */ #undef __FUNCT__ #define __FUNCT__ "SNESRegisterDestroy" /*@ SNESRegisterDestroy - Frees the list of nonlinear solvers that were registered by SNESRegisterDynamic(). Not Collective Level: advanced .keywords: SNES, nonlinear, register, destroy .seealso: SNESRegisterAll() @*/ PetscErrorCode SNESRegisterDestroy(void) { PetscErrorCode ierr; PetscFunctionBegin; ierr = PetscFunctionListDestroy(&SNESList);CHKERRQ(ierr); SNESRegisterAllCalled = PETSC_FALSE; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetType" /*@C SNESGetType - Gets the SNES method type and name (as a string). Not Collective Input Parameter: . snes - nonlinear solver context Output Parameter: . type - SNES method (a character string) Level: intermediate .keywords: SNES, nonlinear, get, type, name @*/ PetscErrorCode SNESGetType(SNES snes,SNESType *type) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidPointer(type,2); *type = ((PetscObject)snes)->type_name; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetSolution" /*@ SNESGetSolution - Returns the vector where the approximate solution is stored. This is the fine grid solution when using SNESSetGridSequence(). Not Collective, but Vec is parallel if SNES is parallel Input Parameter: . snes - the SNES context Output Parameter: . x - the solution Level: intermediate .keywords: SNES, nonlinear, get, solution .seealso: SNESGetSolutionUpdate(), SNESGetFunction() @*/ PetscErrorCode SNESGetSolution(SNES snes,Vec *x) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidPointer(x,2); *x = snes->vec_sol; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetSolutionUpdate" /*@ SNESGetSolutionUpdate - Returns the vector where the solution update is stored. Not Collective, but Vec is parallel if SNES is parallel Input Parameter: . snes - the SNES context Output Parameter: . x - the solution update Level: advanced .keywords: SNES, nonlinear, get, solution, update .seealso: SNESGetSolution(), SNESGetFunction() @*/ PetscErrorCode SNESGetSolutionUpdate(SNES snes,Vec *x) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidPointer(x,2); *x = snes->vec_sol_update; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetFunction" /*@C SNESGetFunction - Returns the vector where the function is stored. Not Collective, but Vec is parallel if SNES is parallel. Collective if Vec is requested, but has not been created yet. Input Parameter: . snes - the SNES context Output Parameter: + r - the vector that is used to store residuals (or PETSC_NULL if you don't want it) . SNESFunction- the function (or PETSC_NULL if you don't want it) - ctx - the function context (or PETSC_NULL if you don't want it) Level: advanced .keywords: SNES, nonlinear, get, function .seealso: SNESSetFunction(), SNESGetSolution(), SNESFunction @*/ PetscErrorCode SNESGetFunction(SNES snes,Vec *r,PetscErrorCode (**SNESFunction)(SNES,Vec,Vec,void*),void **ctx) { PetscErrorCode ierr; DM dm; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (r) { if (!snes->vec_func) { if (snes->vec_rhs) { ierr = VecDuplicate(snes->vec_rhs,&snes->vec_func);CHKERRQ(ierr); } else if (snes->vec_sol) { ierr = VecDuplicate(snes->vec_sol,&snes->vec_func);CHKERRQ(ierr); } else if (snes->dm) { ierr = DMCreateGlobalVector(snes->dm,&snes->vec_func);CHKERRQ(ierr); } } *r = snes->vec_func; } ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMSNESGetFunction(dm,SNESFunction,ctx);CHKERRQ(ierr); PetscFunctionReturn(0); } /*@C SNESGetGS - Returns the GS function and context. Input Parameter: . snes - the SNES context Output Parameter: + SNESGSFunction - the function (or PETSC_NULL) - ctx - the function context (or PETSC_NULL) Level: advanced .keywords: SNES, nonlinear, get, function .seealso: SNESSetGS(), SNESGetFunction() @*/ #undef __FUNCT__ #define __FUNCT__ "SNESGetGS" PetscErrorCode SNESGetGS (SNES snes, PetscErrorCode (**SNESGSFunction)(SNES, Vec, Vec, void*), void ** ctx) { PetscErrorCode ierr; DM dm; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); ierr = SNESGetDM(snes,&dm);CHKERRQ(ierr); ierr = DMSNESGetGS(dm,SNESGSFunction,ctx);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetOptionsPrefix" /*@C SNESSetOptionsPrefix - Sets the prefix used for searching for all SNES options in the database. Logically Collective on SNES Input Parameter: + snes - the SNES context - prefix - the prefix to prepend to all option names Notes: A hyphen (-) must NOT be given at the beginning of the prefix name. The first character of all runtime options is AUTOMATICALLY the hyphen. Level: advanced .keywords: SNES, set, options, prefix, database .seealso: SNESSetFromOptions() @*/ PetscErrorCode SNESSetOptionsPrefix(SNES snes,const char prefix[]) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); ierr = PetscObjectSetOptionsPrefix((PetscObject)snes,prefix);CHKERRQ(ierr); if (!snes->ksp) {ierr = SNESGetKSP(snes,&snes->ksp);CHKERRQ(ierr);} if (snes->linesearch) { ierr = SNESGetSNESLineSearch(snes,&snes->linesearch);CHKERRQ(ierr); ierr = PetscObjectSetOptionsPrefix((PetscObject)snes->linesearch,prefix);CHKERRQ(ierr); } ierr = KSPSetOptionsPrefix(snes->ksp,prefix);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESAppendOptionsPrefix" /*@C SNESAppendOptionsPrefix - Appends to the prefix used for searching for all SNES options in the database. Logically Collective on SNES Input Parameters: + snes - the SNES context - prefix - the prefix to prepend to all option names Notes: A hyphen (-) must NOT be given at the beginning of the prefix name. The first character of all runtime options is AUTOMATICALLY the hyphen. Level: advanced .keywords: SNES, append, options, prefix, database .seealso: SNESGetOptionsPrefix() @*/ PetscErrorCode SNESAppendOptionsPrefix(SNES snes,const char prefix[]) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); ierr = PetscObjectAppendOptionsPrefix((PetscObject)snes,prefix);CHKERRQ(ierr); if (!snes->ksp) {ierr = SNESGetKSP(snes,&snes->ksp);CHKERRQ(ierr);} if (snes->linesearch) { ierr = SNESGetSNESLineSearch(snes,&snes->linesearch);CHKERRQ(ierr); ierr = PetscObjectAppendOptionsPrefix((PetscObject)snes->linesearch,prefix);CHKERRQ(ierr); } ierr = KSPAppendOptionsPrefix(snes->ksp,prefix);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetOptionsPrefix" /*@C SNESGetOptionsPrefix - Sets the prefix used for searching for all SNES options in the database. Not Collective Input Parameter: . snes - the SNES context Output Parameter: . prefix - pointer to the prefix string used Notes: On the fortran side, the user should pass in a string 'prefix' of sufficient length to hold the prefix. Level: advanced .keywords: SNES, get, options, prefix, database .seealso: SNESAppendOptionsPrefix() @*/ PetscErrorCode SNESGetOptionsPrefix(SNES snes,const char *prefix[]) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); ierr = PetscObjectGetOptionsPrefix((PetscObject)snes,prefix);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESRegister" /*@C SNESRegister - See SNESRegisterDynamic() Level: advanced @*/ PetscErrorCode SNESRegister(const char sname[],const char path[],const char name[],PetscErrorCode (*function)(SNES)) { char fullname[PETSC_MAX_PATH_LEN]; PetscErrorCode ierr; PetscFunctionBegin; ierr = PetscFunctionListConcat(path,name,fullname);CHKERRQ(ierr); ierr = PetscFunctionListAdd(PETSC_COMM_WORLD,&SNESList,sname,fullname,(void (*)(void))function);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESTestLocalMin" PetscErrorCode SNESTestLocalMin(SNES snes) { PetscErrorCode ierr; PetscInt N,i,j; Vec u,uh,fh; PetscScalar value; PetscReal norm; PetscFunctionBegin; ierr = SNESGetSolution(snes,&u);CHKERRQ(ierr); ierr = VecDuplicate(u,&uh);CHKERRQ(ierr); ierr = VecDuplicate(u,&fh);CHKERRQ(ierr); /* currently only works for sequential */ ierr = PetscPrintf(PETSC_COMM_WORLD,"Testing FormFunction() for local min\n");CHKERRQ(ierr); ierr = VecGetSize(u,&N);CHKERRQ(ierr); for (i=0; i - Sets rtol0 . -snes_ksp_ew_rtolmax - Sets rtolmax . -snes_ksp_ew_gamma - Sets gamma . -snes_ksp_ew_alpha - Sets alpha . -snes_ksp_ew_alpha2 - Sets alpha2 - -snes_ksp_ew_threshold - Sets threshold Notes: Currently, the default is to use a constant relative tolerance for the inner linear solvers. Alternatively, one can use the Eisenstat-Walker method, where the relative convergence tolerance is reset at each Newton iteration according progress of the nonlinear solver. Level: advanced Reference: S. C. Eisenstat and H. F. Walker, "Choosing the forcing terms in an inexact Newton method", SISC 17 (1), pp.16-32, 1996. .keywords: SNES, KSP, Eisenstat, Walker, convergence, test, inexact, Newton .seealso: SNESKSPGetUseEW(), SNESKSPGetParametersEW(), SNESKSPSetParametersEW() @*/ PetscErrorCode SNESKSPSetUseEW(SNES snes,PetscBool flag) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidLogicalCollectiveBool(snes,flag,2); snes->ksp_ewconv = flag; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESKSPGetUseEW" /*@ SNESKSPGetUseEW - Gets if SNES is using Eisenstat-Walker method for computing relative tolerance for linear solvers within an inexact Newton method. Not Collective Input Parameter: . snes - SNES context Output Parameter: . flag - PETSC_TRUE or PETSC_FALSE Notes: Currently, the default is to use a constant relative tolerance for the inner linear solvers. Alternatively, one can use the Eisenstat-Walker method, where the relative convergence tolerance is reset at each Newton iteration according progress of the nonlinear solver. Level: advanced Reference: S. C. Eisenstat and H. F. Walker, "Choosing the forcing terms in an inexact Newton method", SISC 17 (1), pp.16-32, 1996. .keywords: SNES, KSP, Eisenstat, Walker, convergence, test, inexact, Newton .seealso: SNESKSPSetUseEW(), SNESKSPGetParametersEW(), SNESKSPSetParametersEW() @*/ PetscErrorCode SNESKSPGetUseEW(SNES snes, PetscBool *flag) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidPointer(flag,2); *flag = snes->ksp_ewconv; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESKSPSetParametersEW" /*@ SNESKSPSetParametersEW - Sets parameters for Eisenstat-Walker convergence criteria for the linear solvers within an inexact Newton method. Logically Collective on SNES Input Parameters: + snes - SNES context . version - version 1, 2 (default is 2) or 3 . rtol_0 - initial relative tolerance (0 <= rtol_0 < 1) . rtol_max - maximum relative tolerance (0 <= rtol_max < 1) . gamma - multiplicative factor for version 2 rtol computation (0 <= gamma2 <= 1) . alpha - power for version 2 rtol computation (1 < alpha <= 2) . alpha2 - power for safeguard - threshold - threshold for imposing safeguard (0 < threshold < 1) Note: Version 3 was contributed by Luis Chacon, June 2006. Use PETSC_DEFAULT to retain the default for any of the parameters. Level: advanced Reference: S. C. Eisenstat and H. F. Walker, "Choosing the forcing terms in an inexact Newton method", Utah State University Math. Stat. Dept. Res. Report 6/94/75, June, 1994, to appear in SIAM J. Sci. Comput. .keywords: SNES, KSP, Eisenstat, Walker, set, parameters .seealso: SNESKSPSetUseEW(), SNESKSPGetUseEW(), SNESKSPGetParametersEW() @*/ PetscErrorCode SNESKSPSetParametersEW(SNES snes,PetscInt version,PetscReal rtol_0,PetscReal rtol_max,PetscReal gamma,PetscReal alpha,PetscReal alpha2,PetscReal threshold) { SNESKSPEW *kctx; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); kctx = (SNESKSPEW*)snes->kspconvctx; if (!kctx) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"No Eisenstat-Walker context existing"); PetscValidLogicalCollectiveInt(snes,version,2); PetscValidLogicalCollectiveReal(snes,rtol_0,3); PetscValidLogicalCollectiveReal(snes,rtol_max,4); PetscValidLogicalCollectiveReal(snes,gamma,5); PetscValidLogicalCollectiveReal(snes,alpha,6); PetscValidLogicalCollectiveReal(snes,alpha2,7); PetscValidLogicalCollectiveReal(snes,threshold,8); if (version != PETSC_DEFAULT) kctx->version = version; if (rtol_0 != PETSC_DEFAULT) kctx->rtol_0 = rtol_0; if (rtol_max != PETSC_DEFAULT) kctx->rtol_max = rtol_max; if (gamma != PETSC_DEFAULT) kctx->gamma = gamma; if (alpha != PETSC_DEFAULT) kctx->alpha = alpha; if (alpha2 != PETSC_DEFAULT) kctx->alpha2 = alpha2; if (threshold != PETSC_DEFAULT) kctx->threshold = threshold; if (kctx->version < 1 || kctx->version > 3) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Only versions 1, 2 and 3 are supported: %D",kctx->version); if (kctx->rtol_0 < 0.0 || kctx->rtol_0 >= 1.0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"0.0 <= rtol_0 < 1.0: %G",kctx->rtol_0); if (kctx->rtol_max < 0.0 || kctx->rtol_max >= 1.0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"0.0 <= rtol_max (%G) < 1.0\n",kctx->rtol_max); if (kctx->gamma < 0.0 || kctx->gamma > 1.0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"0.0 <= gamma (%G) <= 1.0\n",kctx->gamma); if (kctx->alpha <= 1.0 || kctx->alpha > 2.0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"1.0 < alpha (%G) <= 2.0\n",kctx->alpha); if (kctx->threshold <= 0.0 || kctx->threshold >= 1.0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"0.0 < threshold (%G) < 1.0\n",kctx->threshold); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESKSPGetParametersEW" /*@ SNESKSPGetParametersEW - Gets parameters for Eisenstat-Walker convergence criteria for the linear solvers within an inexact Newton method. Not Collective Input Parameters: snes - SNES context Output Parameters: + version - version 1, 2 (default is 2) or 3 . rtol_0 - initial relative tolerance (0 <= rtol_0 < 1) . rtol_max - maximum relative tolerance (0 <= rtol_max < 1) . gamma - multiplicative factor for version 2 rtol computation (0 <= gamma2 <= 1) . alpha - power for version 2 rtol computation (1 < alpha <= 2) . alpha2 - power for safeguard - threshold - threshold for imposing safeguard (0 < threshold < 1) Level: advanced .keywords: SNES, KSP, Eisenstat, Walker, get, parameters .seealso: SNESKSPSetUseEW(), SNESKSPGetUseEW(), SNESKSPSetParametersEW() @*/ PetscErrorCode SNESKSPGetParametersEW(SNES snes,PetscInt *version,PetscReal *rtol_0,PetscReal *rtol_max,PetscReal *gamma,PetscReal *alpha,PetscReal *alpha2,PetscReal *threshold) { SNESKSPEW *kctx; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); kctx = (SNESKSPEW*)snes->kspconvctx; if (!kctx) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"No Eisenstat-Walker context existing"); if (version) *version = kctx->version; if (rtol_0) *rtol_0 = kctx->rtol_0; if (rtol_max) *rtol_max = kctx->rtol_max; if (gamma) *gamma = kctx->gamma; if (alpha) *alpha = kctx->alpha; if (alpha2) *alpha2 = kctx->alpha2; if (threshold) *threshold = kctx->threshold; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESKSPEW_PreSolve" static PetscErrorCode SNESKSPEW_PreSolve(SNES snes, KSP ksp, Vec b, Vec x) { PetscErrorCode ierr; SNESKSPEW *kctx = (SNESKSPEW*)snes->kspconvctx; PetscReal rtol = PETSC_DEFAULT,stol; PetscFunctionBegin; if (!kctx) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"No Eisenstat-Walker context exists"); if (!snes->iter) rtol = kctx->rtol_0; /* first time in, so use the original user rtol */ else { if (kctx->version == 1) { rtol = (snes->norm - kctx->lresid_last)/kctx->norm_last; if (rtol < 0.0) rtol = -rtol; stol = pow(kctx->rtol_last,kctx->alpha2); if (stol > kctx->threshold) rtol = PetscMax(rtol,stol); } else if (kctx->version == 2) { rtol = kctx->gamma * pow(snes->norm/kctx->norm_last,kctx->alpha); stol = kctx->gamma * pow(kctx->rtol_last,kctx->alpha); if (stol > kctx->threshold) rtol = PetscMax(rtol,stol); } else if (kctx->version == 3) { /* contributed by Luis Chacon, June 2006. */ rtol = kctx->gamma * pow(snes->norm/kctx->norm_last,kctx->alpha); /* safeguard: avoid sharp decrease of rtol */ stol = kctx->gamma*pow(kctx->rtol_last,kctx->alpha); stol = PetscMax(rtol,stol); rtol = PetscMin(kctx->rtol_0,stol); /* safeguard: avoid oversolving */ stol = kctx->gamma*(snes->ttol)/snes->norm; stol = PetscMax(rtol,stol); rtol = PetscMin(kctx->rtol_0,stol); } else SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Only versions 1, 2 or 3 are supported: %D",kctx->version); } /* safeguard: avoid rtol greater than one */ rtol = PetscMin(rtol,kctx->rtol_max); ierr = KSPSetTolerances(ksp,rtol,PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT);CHKERRQ(ierr); ierr = PetscInfo3(snes,"iter %D, Eisenstat-Walker (version %D) KSP rtol=%G\n",snes->iter,kctx->version,rtol);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESKSPEW_PostSolve" static PetscErrorCode SNESKSPEW_PostSolve(SNES snes, KSP ksp, Vec b, Vec x) { PetscErrorCode ierr; SNESKSPEW *kctx = (SNESKSPEW*)snes->kspconvctx; PCSide pcside; Vec lres; PetscFunctionBegin; if (!kctx) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"No Eisenstat-Walker context exists"); ierr = KSPGetTolerances(ksp,&kctx->rtol_last,0,0,0);CHKERRQ(ierr); ierr = SNESGetFunctionNorm(snes,&kctx->norm_last);CHKERRQ(ierr); if (kctx->version == 1) { ierr = KSPGetPCSide(ksp,&pcside);CHKERRQ(ierr); if (pcside == PC_RIGHT) { /* XXX Should we also test KSP_UNPRECONDITIONED_NORM ? */ /* KSP residual is true linear residual */ ierr = KSPGetResidualNorm(ksp,&kctx->lresid_last);CHKERRQ(ierr); } else { /* KSP residual is preconditioned residual */ /* compute true linear residual norm */ ierr = VecDuplicate(b,&lres);CHKERRQ(ierr); ierr = MatMult(snes->jacobian,x,lres);CHKERRQ(ierr); ierr = VecAYPX(lres,-1.0,b);CHKERRQ(ierr); ierr = VecNorm(lres,NORM_2,&kctx->lresid_last);CHKERRQ(ierr); ierr = VecDestroy(&lres);CHKERRQ(ierr); } } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNES_KSPSolve" PetscErrorCode SNES_KSPSolve(SNES snes, KSP ksp, Vec b, Vec x) { PetscErrorCode ierr; PetscFunctionBegin; if (snes->ksp_ewconv) { ierr = SNESKSPEW_PreSolve(snes,ksp,b,x);CHKERRQ(ierr); } ierr = KSPSolve(ksp,b,x);CHKERRQ(ierr); if (snes->ksp_ewconv) { ierr = SNESKSPEW_PostSolve(snes,ksp,b,x);CHKERRQ(ierr); } PetscFunctionReturn(0); } #include #undef __FUNCT__ #define __FUNCT__ "SNESSetDM" /*@ SNESSetDM - Sets the DM that may be used by some preconditioners Logically Collective on SNES Input Parameters: + snes - the preconditioner context - dm - the dm Level: intermediate .seealso: SNESGetDM(), KSPSetDM(), KSPGetDM() @*/ PetscErrorCode SNESSetDM(SNES snes,DM dm) { PetscErrorCode ierr; KSP ksp; DMSNES sdm; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (dm) {ierr = PetscObjectReference((PetscObject)dm);CHKERRQ(ierr);} if (snes->dm) { /* Move the DMSNES context over to the new DM unless the new DM already has one */ if (snes->dm->dmsnes && snes->dmAuto && !dm->dmsnes) { ierr = DMCopyDMSNES(snes->dm,dm);CHKERRQ(ierr); ierr = DMGetDMSNES(snes->dm,&sdm);CHKERRQ(ierr); if (sdm->originaldm == snes->dm) sdm->originaldm = dm; /* Grant write privileges to the replacement DM */ } ierr = DMDestroy(&snes->dm);CHKERRQ(ierr); } snes->dm = dm; snes->dmAuto = PETSC_FALSE; ierr = SNESGetKSP(snes,&ksp);CHKERRQ(ierr); ierr = KSPSetDM(ksp,dm);CHKERRQ(ierr); ierr = KSPSetDMActive(ksp,PETSC_FALSE);CHKERRQ(ierr); if (snes->pc) { ierr = SNESSetDM(snes->pc, snes->dm);CHKERRQ(ierr); ierr = SNESSetPCSide(snes,snes->pcside);CHKERRQ(ierr); } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetDM" /*@ SNESGetDM - Gets the DM that may be used by some preconditioners Not Collective but DM obtained is parallel on SNES Input Parameter: . snes - the preconditioner context Output Parameter: . dm - the dm Level: intermediate .seealso: SNESSetDM(), KSPSetDM(), KSPGetDM() @*/ PetscErrorCode SNESGetDM(SNES snes,DM *dm) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); if (!snes->dm) { ierr = DMShellCreate(((PetscObject)snes)->comm,&snes->dm);CHKERRQ(ierr); snes->dmAuto = PETSC_TRUE; } *dm = snes->dm; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetPC" /*@ SNESSetPC - Sets the nonlinear preconditioner to be used. Collective on SNES Input Parameters: + snes - iterative context obtained from SNESCreate() - pc - the preconditioner object Notes: Use SNESGetPC() to retrieve the preconditioner context (for example, to configure it using the API). Level: developer .keywords: SNES, set, precondition .seealso: SNESGetPC() @*/ PetscErrorCode SNESSetPC(SNES snes, SNES pc) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes, SNES_CLASSID, 1); PetscValidHeaderSpecific(pc, SNES_CLASSID, 2); PetscCheckSameComm(snes, 1, pc, 2); ierr = PetscObjectReference((PetscObject) pc);CHKERRQ(ierr); ierr = SNESDestroy(&snes->pc);CHKERRQ(ierr); snes->pc = pc; ierr = PetscLogObjectParent(snes, snes->pc);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetPC" /*@ SNESGetPC - Returns a pointer to the nonlinear preconditioning context set with SNESSetPC(). Not Collective Input Parameter: . snes - iterative context obtained from SNESCreate() Output Parameter: . pc - preconditioner context Level: developer .keywords: SNES, get, preconditioner .seealso: SNESSetPC() @*/ PetscErrorCode SNESGetPC(SNES snes, SNES *pc) { PetscErrorCode ierr; const char *optionsprefix; PetscFunctionBegin; PetscValidHeaderSpecific(snes, SNES_CLASSID, 1); PetscValidPointer(pc, 2); if (!snes->pc) { ierr = SNESCreate(((PetscObject) snes)->comm,&snes->pc);CHKERRQ(ierr); ierr = PetscObjectIncrementTabLevel((PetscObject)snes->pc,(PetscObject)snes,1);CHKERRQ(ierr); ierr = PetscLogObjectParent(snes,snes->pc);CHKERRQ(ierr); ierr = SNESGetOptionsPrefix(snes,&optionsprefix);CHKERRQ(ierr); ierr = SNESSetOptionsPrefix(snes->pc,optionsprefix);CHKERRQ(ierr); ierr = SNESAppendOptionsPrefix(snes->pc,"npc_");CHKERRQ(ierr); } *pc = snes->pc; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetPCSide" /*@ SNESSetPCSide - Sets the preconditioning side. Logically Collective on SNES Input Parameter: . snes - iterative context obtained from SNESCreate() Output Parameter: . side - the preconditioning side, where side is one of .vb PC_LEFT - left preconditioning (default) PC_RIGHT - right preconditioning .ve Options Database Keys: . -snes_pc_side Level: intermediate .keywords: SNES, set, right, left, side, preconditioner, flag .seealso: SNESGetPCSide(), KSPSetPCSide() @*/ PetscErrorCode SNESSetPCSide(SNES snes,PCSide side) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidLogicalCollectiveEnum(snes,side,2); snes->pcside = side; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetPCSide" /*@ SNESGetPCSide - Gets the preconditioning side. Not Collective Input Parameter: . snes - iterative context obtained from SNESCreate() Output Parameter: . side - the preconditioning side, where side is one of .vb PC_LEFT - left preconditioning (default) PC_RIGHT - right preconditioning .ve Level: intermediate .keywords: SNES, get, right, left, side, preconditioner, flag .seealso: SNESSetPCSide(), KSPGetPCSide() @*/ PetscErrorCode SNESGetPCSide(SNES snes,PCSide *side) { PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidPointer(side,2); *side = snes->pcside; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetSNESLineSearch" /*@ SNESSetSNESLineSearch - Sets the linesearch on the SNES instance. Collective on SNES Input Parameters: + snes - iterative context obtained from SNESCreate() - linesearch - the linesearch object Notes: Use SNESGetSNESLineSearch() to retrieve the preconditioner context (for example, to configure it using the API). Level: developer .keywords: SNES, set, linesearch .seealso: SNESGetSNESLineSearch() @*/ PetscErrorCode SNESSetSNESLineSearch(SNES snes, SNESLineSearch linesearch) { PetscErrorCode ierr; PetscFunctionBegin; PetscValidHeaderSpecific(snes, SNES_CLASSID, 1); PetscValidHeaderSpecific(linesearch, SNESLINESEARCH_CLASSID, 2); PetscCheckSameComm(snes, 1, linesearch, 2); ierr = PetscObjectReference((PetscObject) linesearch);CHKERRQ(ierr); ierr = SNESLineSearchDestroy(&snes->linesearch);CHKERRQ(ierr); snes->linesearch = linesearch; ierr = PetscLogObjectParent(snes, snes->linesearch);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESGetSNESLineSearch" /*@C SNESGetSNESLineSearch - Returns a pointer to the line search context set with SNESSetLineSearch() or creates a default line search instance associated with the SNES and returns it. Not Collective Input Parameter: . snes - iterative context obtained from SNESCreate() Output Parameter: . linesearch - linesearch context Level: developer .keywords: SNES, get, linesearch .seealso: SNESSetSNESLineSearch() @*/ PetscErrorCode SNESGetSNESLineSearch(SNES snes, SNESLineSearch *linesearch) { PetscErrorCode ierr; const char *optionsprefix; PetscFunctionBegin; PetscValidHeaderSpecific(snes, SNES_CLASSID, 1); PetscValidPointer(linesearch, 2); if (!snes->linesearch) { ierr = SNESGetOptionsPrefix(snes, &optionsprefix);CHKERRQ(ierr); ierr = SNESLineSearchCreate(((PetscObject) snes)->comm, &snes->linesearch);CHKERRQ(ierr); ierr = SNESLineSearchSetSNES(snes->linesearch, snes);CHKERRQ(ierr); ierr = SNESLineSearchAppendOptionsPrefix(snes->linesearch, optionsprefix);CHKERRQ(ierr); ierr = PetscObjectIncrementTabLevel((PetscObject) snes->linesearch, (PetscObject) snes, 1);CHKERRQ(ierr); ierr = PetscLogObjectParent(snes, snes->linesearch);CHKERRQ(ierr); } *linesearch = snes->linesearch; PetscFunctionReturn(0); } #if defined(PETSC_HAVE_MATLAB_ENGINE) #include typedef struct {char *funcname; mxArray *ctx;} SNESMatlabContext; #undef __FUNCT__ #define __FUNCT__ "SNESComputeFunction_Matlab" /* SNESComputeFunction_Matlab - Calls the function that has been set with SNESSetFunctionMatlab(). Collective on SNES Input Parameters: + snes - the SNES context - x - input vector Output Parameter: . y - function vector, as set by SNESSetFunction() Notes: SNESComputeFunction() is typically used within nonlinear solvers implementations, so most users would not generally call this routine themselves. Level: developer .keywords: SNES, nonlinear, compute, function .seealso: SNESSetFunction(), SNESGetFunction() */ PetscErrorCode SNESComputeFunction_Matlab(SNES snes,Vec x,Vec y, void *ctx) { PetscErrorCode ierr; SNESMatlabContext *sctx = (SNESMatlabContext*)ctx; int nlhs = 1,nrhs = 5; mxArray *plhs[1],*prhs[5]; long long int lx = 0,ly = 0,ls = 0; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidHeaderSpecific(x,VEC_CLASSID,2); PetscValidHeaderSpecific(y,VEC_CLASSID,3); PetscCheckSameComm(snes,1,x,2); PetscCheckSameComm(snes,1,y,3); /* call Matlab function in ctx with arguments x and y */ ierr = PetscMemcpy(&ls,&snes,sizeof(snes));CHKERRQ(ierr); ierr = PetscMemcpy(&lx,&x,sizeof(x));CHKERRQ(ierr); ierr = PetscMemcpy(&ly,&y,sizeof(x));CHKERRQ(ierr); prhs[0] = mxCreateDoubleScalar((double)ls); prhs[1] = mxCreateDoubleScalar((double)lx); prhs[2] = mxCreateDoubleScalar((double)ly); prhs[3] = mxCreateString(sctx->funcname); prhs[4] = sctx->ctx; ierr = mexCallMATLAB(nlhs,plhs,nrhs,prhs,"PetscSNESComputeFunctionInternal");CHKERRQ(ierr); ierr = mxGetScalar(plhs[0]);CHKERRQ(ierr); mxDestroyArray(prhs[0]); mxDestroyArray(prhs[1]); mxDestroyArray(prhs[2]); mxDestroyArray(prhs[3]); mxDestroyArray(plhs[0]); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetFunctionMatlab" /* SNESSetFunctionMatlab - Sets the function evaluation routine and function vector for use by the SNES routines in solving systems of nonlinear equations from MATLAB. Here the function is a string containing the name of a MATLAB function Logically Collective on SNES Input Parameters: + snes - the SNES context . r - vector to store function value - SNESFunction - function evaluation routine Notes: The Newton-like methods typically solve linear systems of the form $ f'(x) x = -f(x), where f'(x) denotes the Jacobian matrix and f(x) is the function. Level: beginner .keywords: SNES, nonlinear, set, function .seealso: SNESGetFunction(), SNESComputeFunction(), SNESSetJacobian(), SNESSetFunction() */ PetscErrorCode SNESSetFunctionMatlab(SNES snes,Vec r,const char *SNESFunction,mxArray *ctx) { PetscErrorCode ierr; SNESMatlabContext *sctx; PetscFunctionBegin; /* currently sctx is memory bleed */ ierr = PetscMalloc(sizeof(SNESMatlabContext),&sctx);CHKERRQ(ierr); ierr = PetscStrallocpy(SNESFunction,&sctx->funcname);CHKERRQ(ierr); /* This should work, but it doesn't sctx->ctx = ctx; mexMakeArrayPersistent(sctx->ctx); */ sctx->ctx = mxDuplicateArray(ctx); ierr = SNESSetFunction(snes,r,SNESComputeFunction_Matlab,sctx);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESComputeJacobian_Matlab" /* SNESComputeJacobian_Matlab - Calls the function that has been set with SNESSetJacobianMatlab(). Collective on SNES Input Parameters: + snes - the SNES context . x - input vector . A, B - the matrices - ctx - user context Output Parameter: . flag - structure of the matrix Level: developer .keywords: SNES, nonlinear, compute, function .seealso: SNESSetFunction(), SNESGetFunction() @*/ PetscErrorCode SNESComputeJacobian_Matlab(SNES snes,Vec x,Mat *A,Mat *B,MatStructure *flag, void *ctx) { PetscErrorCode ierr; SNESMatlabContext *sctx = (SNESMatlabContext*)ctx; int nlhs = 2,nrhs = 6; mxArray *plhs[2],*prhs[6]; long long int lx = 0,lA = 0,ls = 0, lB = 0; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); PetscValidHeaderSpecific(x,VEC_CLASSID,2); /* call Matlab function in ctx with arguments x and y */ ierr = PetscMemcpy(&ls,&snes,sizeof(snes));CHKERRQ(ierr); ierr = PetscMemcpy(&lx,&x,sizeof(x));CHKERRQ(ierr); ierr = PetscMemcpy(&lA,A,sizeof(x));CHKERRQ(ierr); ierr = PetscMemcpy(&lB,B,sizeof(x));CHKERRQ(ierr); prhs[0] = mxCreateDoubleScalar((double)ls); prhs[1] = mxCreateDoubleScalar((double)lx); prhs[2] = mxCreateDoubleScalar((double)lA); prhs[3] = mxCreateDoubleScalar((double)lB); prhs[4] = mxCreateString(sctx->funcname); prhs[5] = sctx->ctx; ierr = mexCallMATLAB(nlhs,plhs,nrhs,prhs,"PetscSNESComputeJacobianInternal");CHKERRQ(ierr); ierr = mxGetScalar(plhs[0]);CHKERRQ(ierr); *flag = (MatStructure) mxGetScalar(plhs[1]);CHKERRQ(ierr); mxDestroyArray(prhs[0]); mxDestroyArray(prhs[1]); mxDestroyArray(prhs[2]); mxDestroyArray(prhs[3]); mxDestroyArray(prhs[4]); mxDestroyArray(plhs[0]); mxDestroyArray(plhs[1]); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESSetJacobianMatlab" /* SNESSetJacobianMatlab - Sets the Jacobian function evaluation routine and two empty Jacobian matrices vector for use by the SNES routines in solving systems of nonlinear equations from MATLAB. Here the function is a string containing the name of a MATLAB function Logically Collective on SNES Input Parameters: + snes - the SNES context . A,B - Jacobian matrices . SNESJacobianFunction - function evaluation routine - ctx - user context Level: developer .keywords: SNES, nonlinear, set, function .seealso: SNESGetFunction(), SNESComputeFunction(), SNESSetJacobian(), SNESSetFunction(), SNESJacobianFunction */ PetscErrorCode SNESSetJacobianMatlab(SNES snes,Mat A,Mat B,const char *SNESJacobianFunction,mxArray *ctx) { PetscErrorCode ierr; SNESMatlabContext *sctx; PetscFunctionBegin; /* currently sctx is memory bleed */ ierr = PetscMalloc(sizeof(SNESMatlabContext),&sctx);CHKERRQ(ierr); ierr = PetscStrallocpy(SNESJacobianFunction,&sctx->funcname);CHKERRQ(ierr); /* This should work, but it doesn't sctx->ctx = ctx; mexMakeArrayPersistent(sctx->ctx); */ sctx->ctx = mxDuplicateArray(ctx); ierr = SNESSetJacobian(snes,A,B,SNESComputeJacobian_Matlab,sctx);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESMonitor_Matlab" /* SNESMonitor_Matlab - Calls the function that has been set with SNESMonitorSetMatlab(). Collective on SNES .seealso: SNESSetFunction(), SNESGetFunction() @*/ PetscErrorCode SNESMonitor_Matlab(SNES snes,PetscInt it, PetscReal fnorm, void *ctx) { PetscErrorCode ierr; SNESMatlabContext *sctx = (SNESMatlabContext*)ctx; int nlhs = 1,nrhs = 6; mxArray *plhs[1],*prhs[6]; long long int lx = 0,ls = 0; Vec x = snes->vec_sol; PetscFunctionBegin; PetscValidHeaderSpecific(snes,SNES_CLASSID,1); ierr = PetscMemcpy(&ls,&snes,sizeof(snes));CHKERRQ(ierr); ierr = PetscMemcpy(&lx,&x,sizeof(x));CHKERRQ(ierr); prhs[0] = mxCreateDoubleScalar((double)ls); prhs[1] = mxCreateDoubleScalar((double)it); prhs[2] = mxCreateDoubleScalar((double)fnorm); prhs[3] = mxCreateDoubleScalar((double)lx); prhs[4] = mxCreateString(sctx->funcname); prhs[5] = sctx->ctx; ierr = mexCallMATLAB(nlhs,plhs,nrhs,prhs,"PetscSNESMonitorInternal");CHKERRQ(ierr); ierr = mxGetScalar(plhs[0]);CHKERRQ(ierr); mxDestroyArray(prhs[0]); mxDestroyArray(prhs[1]); mxDestroyArray(prhs[2]); mxDestroyArray(prhs[3]); mxDestroyArray(prhs[4]); mxDestroyArray(plhs[0]); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESMonitorSetMatlab" /* SNESMonitorSetMatlab - Sets the monitor function from MATLAB Level: developer .keywords: SNES, nonlinear, set, function .seealso: SNESGetFunction(), SNESComputeFunction(), SNESSetJacobian(), SNESSetFunction() */ PetscErrorCode SNESMonitorSetMatlab(SNES snes,const char *SNESMonitorFunction,mxArray *ctx) { PetscErrorCode ierr; SNESMatlabContext *sctx; PetscFunctionBegin; /* currently sctx is memory bleed */ ierr = PetscMalloc(sizeof(SNESMatlabContext),&sctx);CHKERRQ(ierr); ierr = PetscStrallocpy(SNESMonitorFunction,&sctx->funcname);CHKERRQ(ierr); /* This should work, but it doesn't sctx->ctx = ctx; mexMakeArrayPersistent(sctx->ctx); */ sctx->ctx = mxDuplicateArray(ctx); ierr = SNESMonitorSet(snes,SNESMonitor_Matlab,sctx,PETSC_NULL);CHKERRQ(ierr); PetscFunctionReturn(0); } #endif