/*$Id: snesmfj.c,v 1.130 2001/08/21 21:03:56 bsmith Exp bsmith $*/ #include "src/snes/mf/snesmfj.h" /*I "petscsnes.h" I*/ #include "src/mat/matimpl.h" PetscFList MatSNESMPetscFList = 0; PetscTruth MatSNESMFRegisterAllCalled = PETSC_FALSE; #undef __FUNCT__ #define __FUNCT__ "MatSNESMFSetType" /*@C MatSNESMFSetType - Sets the method that is used to compute the differencing parameter for finite differene matrix-free formulations. Input Parameters: + mat - the "matrix-free" matrix created via MatCreateSNESMF(), or MatCreateMF() or MatSetType(mat,MATMFFD); - ftype - the type requested Level: advanced Notes: For example, such routines can compute h for use in Jacobian-vector products of the form F(x+ha) - F(x) F'(u)a ~= ---------------- h .seealso: MatCreateSNESMF(), MatSNESMFRegisterDynamic) @*/ int MatSNESMFSetType(Mat mat,MatSNESMFType ftype) { int ierr,(*r)(MatSNESMFCtx); MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; PetscTruth match; PetscFunctionBegin; PetscValidHeaderSpecific(mat,MAT_COOKIE); PetscValidCharPointer(ftype); /* already set, so just return */ ierr = PetscTypeCompare((PetscObject)ctx,ftype,&match);CHKERRQ(ierr); if (match) PetscFunctionReturn(0); /* destroy the old one if it exists */ if (ctx->ops->destroy) { ierr = (*ctx->ops->destroy)(ctx);CHKERRQ(ierr); } /* Get the function pointers for the requrested method */ if (!MatSNESMFRegisterAllCalled) {ierr = MatSNESMFRegisterAll(PETSC_NULL);CHKERRQ(ierr);} ierr = PetscFListFind(ctx->comm,MatSNESMPetscFList,ftype,(void (**)(void)) &r);CHKERRQ(ierr); if (!r) SETERRQ(1,"Unknown MatSNESMF type given"); ierr = (*r)(ctx);CHKERRQ(ierr); ierr = PetscObjectChangeTypeName((PetscObject)ctx,ftype);CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "MatSNESMFSetFunctioniBase_FD" int MatSNESMFSetFunctioniBase_FD(Mat mat,int (*func)(Vec,void *)) { MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; PetscFunctionBegin; ctx->funcisetbase = func; PetscFunctionReturn(0); } EXTERN_C_END EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "MatSNESMFSetFunctioni_FD" int MatSNESMFSetFunctioni_FD(Mat mat,int (*funci)(int,Vec,PetscScalar*,void *)) { MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; PetscFunctionBegin; ctx->funci = funci; PetscFunctionReturn(0); } EXTERN_C_END /*MC MatSNESMFRegisterDynamic - Adds a method to the MatSNESMF registry. Synopsis: int MatSNESMFRegisterDynamic(char *name_solver,char *path,char *name_create,int (*routine_create)(MatSNESMF)) Not Collective Input Parameters: + name_solver - name of a new user-defined compute-h module . path - path (either absolute or relative) the library containing this solver . name_create - name of routine to create method context - routine_create - routine to create method context Level: developer Notes: MatSNESMFRegisterDynamic) may be called multiple times to add several user-defined solvers. If dynamic libraries are used, then the fourth input argument (routine_create) is ignored. Sample usage: .vb MatSNESMFRegisterDynamic"my_h",/home/username/my_lib/lib/libO/solaris/mylib.a, "MyHCreate",MyHCreate); .ve Then, your solver can be chosen with the procedural interface via $ MatSNESMFSetType(mfctx,"my_h") or at runtime via the option $ -snes_mf_type my_h .keywords: MatSNESMF, register .seealso: MatSNESMFRegisterAll(), MatSNESMFRegisterDestroy() M*/ #undef __FUNCT__ #define __FUNCT__ "MatSNESMFRegister" int MatSNESMFRegister(char *sname,char *path,char *name,int (*function)(MatSNESMFCtx)) { int ierr; char fullname[256]; PetscFunctionBegin; ierr = PetscFListConcat(path,name,fullname);CHKERRQ(ierr); ierr = PetscFListAdd(&MatSNESMPetscFList,sname,fullname,(void (*)())function);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFRegisterDestroy" /*@C MatSNESMFRegisterDestroy - Frees the list of MatSNESMF methods that were registered by MatSNESMFRegisterDynamic). Not Collective Level: developer .keywords: MatSNESMF, register, destroy .seealso: MatSNESMFRegisterDynamic), MatSNESMFRegisterAll() @*/ int MatSNESMFRegisterDestroy(void) { int ierr; PetscFunctionBegin; if (MatSNESMPetscFList) { ierr = PetscFListDestroy(&MatSNESMPetscFList);CHKERRQ(ierr); MatSNESMPetscFList = 0; } MatSNESMFRegisterAllCalled = PETSC_FALSE; PetscFunctionReturn(0); } /* ----------------------------------------------------------------------------------------*/ #undef __FUNCT__ #define __FUNCT__ "MatDestroy_MFFD" int MatDestroy_MFFD(Mat mat) { int ierr; MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; PetscFunctionBegin; ierr = VecDestroy(ctx->w);CHKERRQ(ierr); if (ctx->ops->destroy) {ierr = (*ctx->ops->destroy)(ctx);CHKERRQ(ierr);} if (ctx->sp) {ierr = MatNullSpaceDestroy(ctx->sp);CHKERRQ(ierr);} PetscHeaderDestroy(ctx); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatView_MFFD" /* MatSNESMFView_MFFD - Views matrix-free parameters. */ int MatView_MFFD(Mat J,PetscViewer viewer) { int ierr; MatSNESMFCtx ctx = (MatSNESMFCtx)J->data; PetscTruth isascii; PetscFunctionBegin; ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&isascii);CHKERRQ(ierr); if (isascii) { ierr = PetscViewerASCIIPrintf(viewer," SNES matrix-free approximation:\n");CHKERRQ(ierr); ierr = PetscViewerASCIIPrintf(viewer," err=%g (relative error in function evaluation)\n",ctx->error_rel);CHKERRQ(ierr); if (!ctx->type_name) { ierr = PetscViewerASCIIPrintf(viewer," The compute h routine has not yet been set\n");CHKERRQ(ierr); } else { ierr = PetscViewerASCIIPrintf(viewer," Using %s compute h routine\n",ctx->type_name);CHKERRQ(ierr); } if (ctx->ops->view) { ierr = (*ctx->ops->view)(ctx,viewer);CHKERRQ(ierr); } } else { SETERRQ1(1,"Viewer type %s not supported for SNES matrix free matrix",((PetscObject)viewer)->type_name); } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatAssemblyEnd_MFFD" /* MatSNESMFAssemblyEnd_Private - Resets the ctx->ncurrenth to zero. This allows the user to indicate the beginning of a new linear solve by calling MatAssemblyXXX() on the matrix free matrix. This then allows the MatSNESMFCreate_WP() to properly compute ||U|| only the first time in the linear solver rather than every time. */ int MatAssemblyEnd_MFFD(Mat J,MatAssemblyType mt) { int ierr; MatSNESMFCtx j = (MatSNESMFCtx)J->data; SNESProblemType type; PetscFunctionBegin; ierr = MatSNESMFResetHHistory(J);CHKERRQ(ierr); if (j->usesnes) { ierr = SNESGetSolution(j->snes,&j->current_u);CHKERRQ(ierr); ierr = SNESGetProblemType(j->snes,&type);CHKERRQ(ierr); if (type == SNES_NONLINEAR_EQUATIONS) { ierr = SNESGetFunction(j->snes,&j->current_f,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); } else if (type == SNES_UNCONSTRAINED_MINIMIZATION) { ierr = SNESGetGradient(j->snes,&j->current_f,PETSC_NULL);CHKERRQ(ierr); } else SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Invalid method class"); } j->vshift = 0.0; j->vscale = 1.0; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatMult_MFFD" /* MatSNESMFMult_Private - Default matrix-free form for Jacobian-vector product, y = F'(u)*a: y ~= (F(u + ha) - F(u))/h, where F = nonlinear function, as set by SNESSetFunction() u = current iterate h = difference interval */ int MatMult_MFFD(Mat mat,Vec a,Vec y) { MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; SNES snes; PetscScalar h,mone = -1.0; Vec w,U,F; int ierr,(*eval_fct)(SNES,Vec,Vec)=0; SNESProblemType type; PetscFunctionBegin; /* We log matrix-free matrix-vector products separately, so that we can separate the performance monitoring from the cases that use conventional storage. We may eventually modify event logging to associate events with particular objects, hence alleviating the more general problem. */ ierr = PetscLogEventBegin(MAT_MatrixFreeMult,a,y,0,0);CHKERRQ(ierr); snes = ctx->snes; w = ctx->w; U = ctx->current_u; /* Compute differencing parameter */ if (!ctx->ops->compute) { ierr = MatSNESMFSetType(mat,MATSNESMF_DEFAULT);CHKERRQ(ierr); ierr = MatSNESMFSetFromOptions(mat);CHKERRQ(ierr); } ierr = (*ctx->ops->compute)(ctx,U,a,&h);CHKERRQ(ierr); /* keep a record of the current differencing parameter h */ ctx->currenth = h; #if defined(PETSC_USE_COMPLEX) PetscLogInfo(mat,"MatMult_MFFD:Current differencing parameter: %g + %g i\n",PetscRealPart(h),PetscImaginaryPart(h)); #else PetscLogInfo(mat,"MatMult_MFFD:Current differencing parameter: %15.12e\n",h); #endif if (ctx->historyh && ctx->ncurrenth < ctx->maxcurrenth) { ctx->historyh[ctx->ncurrenth] = h; } ctx->ncurrenth++; /* w = u + ha */ ierr = VecWAXPY(&h,a,U,w);CHKERRQ(ierr); if (ctx->usesnes) { ierr = SNESGetProblemType(snes,&type);CHKERRQ(ierr); if (type == SNES_NONLINEAR_EQUATIONS) { eval_fct = SNESComputeFunction; } else if (type == SNES_UNCONSTRAINED_MINIMIZATION) { eval_fct = SNESComputeGradient; } else SETERRQ(PETSC_ERR_ARG_OUTOFRANGE,"Invalid method class"); F = ctx->current_f; if (!F) SETERRQ(1,"You must call MatAssembly() even on matrix-free matrices"); ierr = (*eval_fct)(snes,w,y);CHKERRQ(ierr); } else { F = ctx->funcvec; /* compute func(U) as base for differencing */ if (ctx->ncurrenth == 1) { ierr = (*ctx->func)(snes,U,F,ctx->funcctx);CHKERRQ(ierr); } ierr = (*ctx->func)(snes,w,y,ctx->funcctx);CHKERRQ(ierr); } ierr = VecAXPY(&mone,F,y);CHKERRQ(ierr); h = 1.0/h; ierr = VecScale(&h,y);CHKERRQ(ierr); if (ctx->vshift != 0.0 && ctx->vscale != 1.0) { ierr = VecAXPBY(&ctx->vshift,&ctx->vscale,a,y);CHKERRQ(ierr); } else if (ctx->vscale != 1.0) { ierr = VecScale(&ctx->vscale,y);CHKERRQ(ierr); } else if (ctx->vshift != 0.0) { ierr = VecAXPY(&ctx->vshift,a,y);CHKERRQ(ierr); } if (ctx->sp) {ierr = MatNullSpaceRemove(ctx->sp,y,PETSC_NULL);CHKERRQ(ierr);} ierr = PetscLogEventEnd(MAT_MatrixFreeMult,a,y,0,0);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatGetDiagonal_MFFD" /* MatGetDiagonal_MFFD - Gets the diagonal for a matrix free matrix y ~= (F(u + ha) - F(u))/h, where F = nonlinear function, as set by SNESSetFunction() u = current iterate h = difference interval */ int MatGetDiagonal_MFFD(Mat mat,Vec a) { MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; PetscScalar h,*aa,*ww,v; PetscReal epsilon = PETSC_SQRT_MACHINE_EPSILON,umin = 100.0*PETSC_SQRT_MACHINE_EPSILON; Vec w,U; int i,ierr,rstart,rend; PetscFunctionBegin; if (!ctx->funci) { SETERRQ(1,"Requirers calling MatSNESMFSetFunctioni() first"); } w = ctx->w; U = ctx->current_u; ierr = (*ctx->func)(0,U,a,ctx->funcctx);CHKERRQ(ierr); ierr = (*ctx->funcisetbase)(U,ctx->funcctx);CHKERRQ(ierr); ierr = VecCopy(U,w);CHKERRQ(ierr); ierr = VecGetOwnershipRange(a,&rstart,&rend);CHKERRQ(ierr); ierr = VecGetArray(a,&aa);CHKERRQ(ierr); for (i=rstart; i= 0.0) h = umin; else if (h < 0.0 && h > -umin) h = -umin; #else if (PetscAbsScalar(h) < umin && PetscRealPart(h) >= 0.0) h = umin; else if (PetscRealPart(h) < 0.0 && PetscAbsScalar(h) < umin) h = -umin; #endif h *= epsilon; ww[i-rstart] += h; ierr = VecRestoreArray(w,&ww);CHKERRQ(ierr); ierr = (*ctx->funci)(i,w,&v,ctx->funcctx);CHKERRQ(ierr); aa[i-rstart] = (v - aa[i-rstart])/h; /* possibly shift and scale result */ aa[i - rstart] = ctx->vshift + ctx->vscale*aa[i-rstart]; ierr = VecGetArray(w,&ww);CHKERRQ(ierr); ww[i-rstart] -= h; ierr = VecRestoreArray(w,&ww);CHKERRQ(ierr); } ierr = VecRestoreArray(a,&aa);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatShift_MFFD" int MatShift_MFFD(PetscScalar *a,Mat Y) { MatSNESMFCtx shell = (MatSNESMFCtx)Y->data; PetscFunctionBegin; shell->vshift += *a; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatScale_MFFD" int MatScale_MFFD(PetscScalar *a,Mat Y) { MatSNESMFCtx shell = (MatSNESMFCtx)Y->data; PetscFunctionBegin; shell->vscale *= *a; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatCreateSNESMF" /*@C MatCreateSNESMF - Creates a matrix-free matrix context for use with a SNES solver. This matrix can be used as the Jacobian argument for the routine SNESSetJacobian(). Collective on SNES and Vec Input Parameters: + snes - the SNES context - x - vector where SNES solution is to be stored. Output Parameter: . J - the matrix-free matrix Level: advanced Notes: The matrix-free matrix context merely contains the function pointers and work space for performing finite difference approximations of Jacobian-vector products, F'(u)*a, The default code uses the following approach to compute h .vb F'(u)*a = [F(u+h*a) - F(u)]/h where h = error_rel*u'a/||a||^2 if |u'a| > umin*||a||_{1} = error_rel*umin*sign(u'a)*||a||_{1}/||a||^2 otherwise where error_rel = square root of relative error in function evaluation umin = minimum iterate parameter .ve The user can set the error_rel via MatSNESMFSetFunctionError() and umin via MatSNESMFDefaultSetUmin(); see the nonlinear solvers chapter of the users manual for details. The user should call MatDestroy() when finished with the matrix-free matrix context. Options Database Keys: + -snes_mf_err - Sets error_rel . -snes_mf_unim - Sets umin (for default PETSc routine that computes h only) - -snes_mf_ksp_monitor - KSP monitor routine that prints differencing h .keywords: SNES, default, matrix-free, create, matrix .seealso: MatDestroy(), MatSNESMFSetFunctionError(), MatSNESMFDefaultSetUmin() MatSNESMFSetHHistory(), MatSNESMFResetHHistory(), MatCreateMF(), MatSNESMFGetH(),MatSNESMFKSPMonitor(), MatSNESMFRegisterDynamic), MatSNESMFComputeJacobian() @*/ int MatCreateSNESMF(SNES snes,Vec x,Mat *J) { MatSNESMFCtx mfctx; int ierr; PetscFunctionBegin; ierr = MatCreateMF(x,J);CHKERRQ(ierr); mfctx = (MatSNESMFCtx)(*J)->data; mfctx->snes = snes; mfctx->usesnes = PETSC_TRUE; PetscLogObjectParent(snes,*J); PetscFunctionReturn(0); } EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "MatSNESMFSetBase_FD" int MatSNESMFSetBase_FD(Mat J,Vec U) { int ierr; MatSNESMFCtx ctx = (MatSNESMFCtx)J->data; PetscFunctionBegin; ierr = MatSNESMFResetHHistory(J);CHKERRQ(ierr); ctx->current_u = U; ctx->usesnes = PETSC_FALSE; PetscFunctionReturn(0); } EXTERN_C_END #undef __FUNCT__ #define __FUNCT__ "MatSNESMFSetFromOptions" /*@ MatSNESMFSetFromOptions - Sets the MatSNESMF options from the command line parameter. Collective on Mat Input Parameters: . mat - the matrix obtained with MatCreateSNESMF() Options Database Keys: + -snes_mf_type - - -snes_mf_err - square root of estimated relative error in function evaluation - -snes_mf_period - how often h is recomputed, defaults to 1, everytime Level: advanced .keywords: SNES, matrix-free, parameters .seealso: MatCreateSNESMF(),MatSNESMFSetHHistory(), MatSNESMFResetHHistory(), MatSNESMFKSPMonitor() @*/ int MatSNESMFSetFromOptions(Mat mat) { MatSNESMFCtx mfctx = (MatSNESMFCtx)mat->data; int ierr; PetscTruth flg; char ftype[256]; PetscFunctionBegin; if (!MatSNESMFRegisterAllCalled) {ierr = MatSNESMFRegisterAll(PETSC_NULL);CHKERRQ(ierr);} ierr = PetscOptionsBegin(mfctx->comm,mfctx->prefix,"Set matrix free computation parameters","MatSNESMF");CHKERRQ(ierr); ierr = PetscOptionsList("-snes_mf_type","Matrix free type","MatSNESMFSetType",MatSNESMPetscFList,mfctx->type_name,ftype,256,&flg);CHKERRQ(ierr); if (flg) { ierr = MatSNESMFSetType(mat,ftype);CHKERRQ(ierr); } ierr = PetscOptionsReal("-snes_mf_err","set sqrt relative error in function","MatSNESMFSetFunctionError",mfctx->error_rel,&mfctx->error_rel,0);CHKERRQ(ierr); ierr = PetscOptionsInt("-snes_mf_period","how often h is recomputed","MatSNESMFSetPeriod",mfctx->recomputeperiod,&mfctx->recomputeperiod,0);CHKERRQ(ierr); if (mfctx->snes) { ierr = PetscOptionsName("-snes_mf_ksp_monitor","Monitor matrix-free parameters","MatSNESMFKSPMonitor",&flg);CHKERRQ(ierr); if (flg) { SLES sles; KSP ksp; ierr = SNESGetSLES(mfctx->snes,&sles);CHKERRQ(ierr); ierr = SLESGetKSP(sles,&ksp);CHKERRQ(ierr); ierr = KSPSetMonitor(ksp,MatSNESMFKSPMonitor,PETSC_NULL,0);CHKERRQ(ierr); } } if (mfctx->ops->setfromoptions) { ierr = (*mfctx->ops->setfromoptions)(mfctx);CHKERRQ(ierr); } ierr = PetscOptionsEnd();CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatCreate_MFFD" EXTERN_C_BEGIN int MatCreate_MFFD(Mat A) { MatSNESMFCtx mfctx; int ierr; PetscFunctionBegin; PetscHeaderCreate(mfctx,_p_MatSNESMFCtx,struct _MFOps,MATSNESMFCTX_COOKIE,0,"SNESMF",A->comm,MatDestroy_MFFD,MatView_MFFD); PetscLogObjectCreate(mfctx); mfctx->sp = 0; mfctx->snes = 0; mfctx->error_rel = PETSC_SQRT_MACHINE_EPSILON; mfctx->recomputeperiod = 1; mfctx->count = 0; mfctx->currenth = 0.0; mfctx->historyh = PETSC_NULL; mfctx->ncurrenth = 0; mfctx->maxcurrenth = 0; mfctx->type_name = 0; mfctx->usesnes = PETSC_FALSE; mfctx->vshift = 0.0; mfctx->vscale = 1.0; /* Create the empty data structure to contain compute-h routines. These will be filled in below from the command line options or a later call with MatSNESMFSetType() or if that is not called then it will default in the first use of MatMult_MFFD() */ mfctx->ops->compute = 0; mfctx->ops->destroy = 0; mfctx->ops->view = 0; mfctx->ops->setfromoptions = 0; mfctx->hctx = 0; mfctx->func = 0; mfctx->funcctx = 0; mfctx->funcvec = 0; A->data = mfctx; A->ops->mult = MatMult_MFFD; A->ops->destroy = MatDestroy_MFFD; A->ops->view = MatView_MFFD; A->ops->assemblyend = MatAssemblyEnd_MFFD; A->ops->getdiagonal = MatGetDiagonal_MFFD; A->ops->scale = MatScale_MFFD; A->ops->shift = MatShift_MFFD; A->ops->setfromoptions = MatSNESMFSetFromOptions; ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatSNESMFSetBase_C","MatSNESMFSetBase_FD",MatSNESMFSetBase_FD);CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatSNESMFSetFunctioniBase_C","MatSNESMFSetFunctioniBase_FD",MatSNESMFSetFunctioniBase_FD);CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatSNESMFSetFunctioni_C","MatSNESMFSetFunctioni_FD",MatSNESMFSetFunctioni_FD);CHKERRQ(ierr); mfctx->mat = A; ierr = VecCreateMPI(A->comm,A->n,A->N,&mfctx->w);CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_END #undef __FUNCT__ #define __FUNCT__ "MatCreateMF" /*@C MatCreateMF - Creates a matrix-free matrix. See also MatCreateSNESMF() Collective on Vec Input Parameters: . x - vector that defines layout of the vectors and matrices Output Parameter: . J - the matrix-free matrix Level: advanced Notes: The matrix-free matrix context merely contains the function pointers and work space for performing finite difference approximations of Jacobian-vector products, F'(u)*a, The default code uses the following approach to compute h .vb F'(u)*a = [F(u+h*a) - F(u)]/h where h = error_rel*u'a/||a||^2 if |u'a| > umin*||a||_{1} = error_rel*umin*sign(u'a)*||a||_{1}/||a||^2 otherwise where error_rel = square root of relative error in function evaluation umin = minimum iterate parameter .ve The user can set the error_rel via MatSNESMFSetFunctionError() and umin via MatSNESMFDefaultSetUmin(); see the nonlinear solvers chapter of the users manual for details. The user should call MatDestroy() when finished with the matrix-free matrix context. Options Database Keys: + -snes_mf_err - Sets error_rel . -snes_mf_unim - Sets umin (for default PETSc routine that computes h only) - -snes_mf_ksp_monitor - KSP monitor routine that prints differencing h .keywords: default, matrix-free, create, matrix .seealso: MatDestroy(), MatSNESMFSetFunctionError(), MatSNESMFDefaultSetUmin() MatSNESMFSetHHistory(), MatSNESMFResetHHistory(), MatCreateSNESMF(), MatSNESMFGetH(),MatSNESMFKSPMonitor(), MatSNESMFRegisterDynamic),, MatSNESMFComputeJacobian() @*/ int MatCreateMF(Vec x,Mat *J) { MPI_Comm comm; int n,nloc,ierr; PetscFunctionBegin; ierr = PetscObjectGetComm((PetscObject)x,&comm);CHKERRQ(ierr); ierr = VecGetSize(x,&n);CHKERRQ(ierr); ierr = VecGetLocalSize(x,&nloc);CHKERRQ(ierr); ierr = MatCreate(comm,nloc,nloc,n,n,J);CHKERRQ(ierr); ierr = MatRegister(MATMFFD,0,"MatCreate_MFFD",MatCreate_MFFD);CHKERRQ(ierr); ierr = MatSetType(*J,MATMFFD);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFGetH" /*@ MatSNESMFGetH - Gets the last value that was used as the differencing parameter. Not Collective Input Parameters: . mat - the matrix obtained with MatCreateSNESMF() Output Paramter: . h - the differencing step size Level: advanced .keywords: SNES, matrix-free, parameters .seealso: MatCreateSNESMF(),MatSNESMFSetHHistory(), MatSNESMFResetHHistory(),MatSNESMFKSPMonitor() @*/ int MatSNESMFGetH(Mat mat,PetscScalar *h) { MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; PetscFunctionBegin; *h = ctx->currenth; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFKSPMonitor" /* MatSNESMFKSPMonitor - A KSP monitor for use with the default PETSc SNES matrix free routines. Prints the differencing parameter used at each step. */ int MatSNESMFKSPMonitor(KSP ksp,int n,PetscReal rnorm,void *dummy) { PC pc; MatSNESMFCtx ctx; int ierr; Mat mat; MPI_Comm comm; PetscTruth nonzeroinitialguess; PetscFunctionBegin; ierr = PetscObjectGetComm((PetscObject)ksp,&comm);CHKERRQ(ierr); ierr = KSPGetPC(ksp,&pc);CHKERRQ(ierr); ierr = KSPGetInitialGuessNonzero(ksp,&nonzeroinitialguess);CHKERRQ(ierr); ierr = PCGetOperators(pc,&mat,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); ctx = (MatSNESMFCtx)mat->data; if (n > 0 || nonzeroinitialguess) { #if defined(PETSC_USE_COMPLEX) ierr = PetscPrintf(comm,"%d KSP Residual norm %14.12e h %g + %g i\n",n,rnorm, PetscRealPart(ctx->currenth),PetscImaginaryPart(ctx->currenth));CHKERRQ(ierr); #else ierr = PetscPrintf(comm,"%d KSP Residual norm %14.12e h %g \n",n,rnorm,ctx->currenth);CHKERRQ(ierr); #endif } else { ierr = PetscPrintf(comm,"%d KSP Residual norm %14.12e\n",n,rnorm);CHKERRQ(ierr); } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFSetFunction" /*@C MatSNESMFSetFunction - Sets the function used in applying the matrix free. Collective on Mat Input Parameters: + mat - the matrix free matrix created via MatCreateSNESMF() . v - workspace vector . func - the function to use - funcctx - optional function context passed to function Level: advanced Notes: If you use this you MUST call MatAssemblyBegin()/MatAssemblyEnd() on the matrix free matrix inside your compute Jacobian routine If this is not set then it will use the function set with SNESSetFunction() .keywords: SNES, matrix-free, function .seealso: MatCreateSNESMF(),MatSNESMFGetH(), MatSNESMFSetHHistory(), MatSNESMFResetHHistory(), MatSNESMFKSPMonitor(), SNESetFunction() @*/ int MatSNESMFSetFunction(Mat mat,Vec v,int (*func)(SNES,Vec,Vec,void *),void *funcctx) { MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; PetscFunctionBegin; ctx->func = func; ctx->funcctx = funcctx; ctx->funcvec = v; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFSetFunctioni" /*@C MatSNESMFSetFunctioni - Sets the function for a single component Collective on Mat Input Parameters: + mat - the matrix free matrix created via MatCreateSNESMF() - funci - the function to use Level: advanced Notes: If you use this you MUST call MatAssemblyBegin()/MatAssemblyEnd() on the matrix free matrix inside your compute Jacobian routine .keywords: SNES, matrix-free, function .seealso: MatCreateSNESMF(),MatSNESMFGetH(), MatSNESMFSetHHistory(), MatSNESMFResetHHistory(), MatSNESMFKSPMonitor(), SNESetFunction() @*/ int MatSNESMFSetFunctioni(Mat mat,int (*funci)(int,Vec,PetscScalar*,void *)) { int ierr,(*f)(Mat,int (*)(int,Vec,PetscScalar*,void *)); PetscFunctionBegin; PetscValidHeaderSpecific(mat,MAT_COOKIE); ierr = PetscObjectQueryFunction((PetscObject)mat,"MatSNESMFSetFunctioni_C",(void (**)())&f);CHKERRQ(ierr); if (f) { ierr = (*f)(mat,funci);CHKERRQ(ierr); } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFSetFunctioniBase" /*@C MatSNESMFSetFunctioniBase - Sets the base vector for a single component function evaluation Collective on Mat Input Parameters: + mat - the matrix free matrix created via MatCreateSNESMF() - func - the function to use Level: advanced Notes: If you use this you MUST call MatAssemblyBegin()/MatAssemblyEnd() on the matrix free matrix inside your compute Jacobian routine .keywords: SNES, matrix-free, function .seealso: MatCreateSNESMF(),MatSNESMFGetH(), MatSNESMFSetHHistory(), MatSNESMFResetHHistory(), MatSNESMFKSPMonitor(), SNESetFunction() @*/ int MatSNESMFSetFunctioniBase(Mat mat,int (*func)(Vec,void *)) { int ierr,(*f)(Mat,int (*)(Vec,void *)); PetscFunctionBegin; PetscValidHeaderSpecific(mat,MAT_COOKIE); ierr = PetscObjectQueryFunction((PetscObject)mat,"MatSNESMFSetFunctioniBase_C",(void (**)())&f);CHKERRQ(ierr); if (f) { ierr = (*f)(mat,func);CHKERRQ(ierr); } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFSetPeriod" /*@ MatSNESMFSetPeriod - Sets how often h is recomputed, by default it is everytime Collective on Mat Input Parameters: + mat - the matrix free matrix created via MatCreateSNESMF() - period - 1 for everytime, 2 for every second etc Options Database Keys: + -snes_mf_period Level: advanced .keywords: SNES, matrix-free, parameters .seealso: MatCreateSNESMF(),MatSNESMFGetH(), MatSNESMFSetHHistory(), MatSNESMFResetHHistory(), MatSNESMFKSPMonitor() @*/ int MatSNESMFSetPeriod(Mat mat,int period) { MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; PetscFunctionBegin; ctx->recomputeperiod = period; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFSetFunctionError" /*@ MatSNESMFSetFunctionError - Sets the error_rel for the approximation of matrix-vector products using finite differences. Collective on Mat Input Parameters: + mat - the matrix free matrix created via MatCreateSNESMF() - error_rel - relative error (should be set to the square root of the relative error in the function evaluations) Options Database Keys: + -snes_mf_err - Sets error_rel Level: advanced Notes: The default matrix-free matrix-vector product routine computes .vb F'(u)*a = [F(u+h*a) - F(u)]/h where h = error_rel*u'a/||a||^2 if |u'a| > umin*||a||_{1} = error_rel*umin*sign(u'a)*||a||_{1}/||a||^2 else .ve .keywords: SNES, matrix-free, parameters .seealso: MatCreateSNESMF(),MatSNESMFGetH(), MatSNESMFSetHHistory(), MatSNESMFResetHHistory(), MatSNESMFKSPMonitor() @*/ int MatSNESMFSetFunctionError(Mat mat,PetscReal error) { MatSNESMFCtx ctx = (MatSNESMFCtx)mat->data; PetscFunctionBegin; if (error != PETSC_DEFAULT) ctx->error_rel = error; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFAddNullSpace" /*@ MatSNESMFAddNullSpace - Provides a null space that an operator is supposed to have. Since roundoff will create a small component in the null space, if you know the null space you may have it automatically removed. Collective on Mat Input Parameters: + J - the matrix-free matrix context - nullsp - object created with MatNullSpaceCreate() Level: advanced .keywords: SNES, matrix-free, null space .seealso: MatNullSpaceCreate(), MatSNESMFGetH(), MatCreateSNESMF(), MatSNESMFSetHHistory(), MatSNESMFResetHHistory(), MatSNESMFKSPMonitor(), MatSNESMFErrorRel() @*/ int MatSNESMFAddNullSpace(Mat J,MatNullSpace nullsp) { int ierr; MatSNESMFCtx ctx = (MatSNESMFCtx)J->data; MPI_Comm comm; PetscFunctionBegin; ierr = PetscObjectGetComm((PetscObject)J,&comm);CHKERRQ(ierr); ctx->sp = nullsp; ierr = PetscObjectReference((PetscObject)nullsp);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFSetHHistory" /*@ MatSNESMFSetHHistory - Sets an array to collect a history of the differencing values (h) computed for the matrix-free product. Collective on Mat Input Parameters: + J - the matrix-free matrix context . histroy - space to hold the history - nhistory - number of entries in history, if more entries are generated than nhistory, then the later ones are discarded Level: advanced Notes: Use MatSNESMFResetHHistory() to reset the history counter and collect a new batch of differencing parameters, h. .keywords: SNES, matrix-free, h history, differencing history .seealso: MatSNESMFGetH(), MatCreateSNESMF(), MatSNESMFResetHHistory(), MatSNESMFKSPMonitor(), MatSNESMFSetFunctionError() @*/ int MatSNESMFSetHHistory(Mat J,PetscScalar *history,int nhistory) { MatSNESMFCtx ctx = (MatSNESMFCtx)J->data; PetscFunctionBegin; ctx->historyh = history; ctx->maxcurrenth = nhistory; ctx->currenth = 0; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFResetHHistory" /*@ MatSNESMFResetHHistory - Resets the counter to zero to begin collecting a new set of differencing histories. Collective on Mat Input Parameters: . J - the matrix-free matrix context Level: advanced Notes: Use MatSNESMFSetHHistory() to create the original history counter. .keywords: SNES, matrix-free, h history, differencing history .seealso: MatSNESMFGetH(), MatCreateSNESMF(), MatSNESMFSetHHistory(), MatSNESMFKSPMonitor(), MatSNESMFSetFunctionError() @*/ int MatSNESMFResetHHistory(Mat J) { MatSNESMFCtx ctx = (MatSNESMFCtx)J->data; PetscFunctionBegin; ctx->ncurrenth = 0; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFComputeJacobian" int MatSNESMFComputeJacobian(SNES snes,Vec x,Mat *jac,Mat *B,MatStructure *flag,void *dummy) { int ierr; PetscFunctionBegin; ierr = MatAssemblyBegin(*jac,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatAssemblyEnd(*jac,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSNESMFSetBase" int MatSNESMFSetBase(Mat J,Vec U) { int ierr,(*f)(Mat,Vec); PetscFunctionBegin; PetscValidHeaderSpecific(J,MAT_COOKIE); PetscValidHeaderSpecific(U,VEC_COOKIE); ierr = PetscObjectQueryFunction((PetscObject)J,"MatSNESMFSetBase_C",(void (**)())&f);CHKERRQ(ierr); if (f) { ierr = (*f)(J,U);CHKERRQ(ierr); } PetscFunctionReturn(0); }