#include /*I "petscsnes.h" I*/ #include #undef __FUNCT__ #define __FUNCT__ "MatMultASPIN" PetscErrorCode MatMultASPIN(Mat m,Vec X,Vec Y) { PetscErrorCode ierr; void *ctx; SNES snes; PetscInt n,i; VecScatter *oscatter; SNES *subsnes; PetscBool match; MPI_Comm comm; KSP ksp; Vec *x,*b; Vec W; SNES npc; Mat subJ,subpJ; PetscFunctionBegin; ierr = MatShellGetContext(m,&ctx);CHKERRQ(ierr); snes = (SNES)ctx; ierr = SNESGetNPC(snes,&npc);CHKERRQ(ierr); ierr = SNESGetFunction(npc,&W,NULL,NULL);CHKERRQ(ierr); ierr = PetscObjectTypeCompare((PetscObject)npc,SNESNASM,&match);CHKERRQ(ierr); if (!match) { ierr = PetscObjectGetComm((PetscObject)snes,&comm);CHKERRQ(ierr); SETERRQ(comm,PETSC_ERR_ARG_WRONGSTATE,"MatMultASPIN requires that the nonlinear preconditioner be Nonlinear additive Schwarz"); } ierr = SNESNASMGetSubdomains(npc,&n,&subsnes,NULL,&oscatter,NULL);CHKERRQ(ierr); ierr = SNESNASMGetSubdomainVecs(npc,&n,&x,&b,NULL,NULL);CHKERRQ(ierr); ierr = VecSet(Y,0);CHKERRQ(ierr); ierr = MatMult(npc->jacobian_pre,X,W);CHKERRQ(ierr); for (i=0;ipc);CHKERRQ(ierr); /* reset NEWTONLS and free the data */ ierr = SNESReset(snes);CHKERRQ(ierr); ierr = PetscFree(snes->data);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "SNESCreate_ASPIN" /* -------------------------------------------------------------------------- */ /*MC SNESASPIN - Helper SNES type for Additive-Schwarz Preconditioned Inexact Newton Options Database: + -npc_snes_ - options prefix of the nonlinear subdomain solver (must be of type NASM) . -npc_sub_snes_ - options prefix of the subdomain nonlinear solves . -npc_sub_ksp_ - options prefix of the subdomain Krylov solver - -npc_sub_pc_ - options prefix of the subdomain preconditioner Notes: This routine sets up an instance of NETWONLS with nonlinear left preconditioning. It differs from other similar functionality in SNES as it creates a linear shell matrix that corresponds to the product: \sum_{i=0}^{N_b}J_b({X^b_{converged}})^{-1}J(X + \sum_{i=0}^{N_b}(X^b_{converged} - X^b)) which is the ASPIN preconditioned matrix. Similar solvers may be constructed by having matrix-free differencing of nonlinear solves per linear iteration, but this is far more efficient when subdomain sparse-direct preconditioner factorizations are reused on each application of J_b^{-1}. Level: intermediate .seealso: SNESCreate(), SNES, SNESSetType(), SNESNEWTONLS, SNESNASM, SNESGetNPC(), SNESGetNPCSide() M*/ PETSC_EXTERN PetscErrorCode SNESCreate_ASPIN(SNES snes) { PetscErrorCode ierr; SNES npc; KSP ksp; PC pc; Mat aspinmat; Vec F; PetscInt n; SNESLineSearch linesearch; PetscFunctionBegin; /* set up the solver */ ierr = SNESSetType(snes,SNESNEWTONLS);CHKERRQ(ierr); ierr = SNESSetNPCSide(snes,PC_LEFT);CHKERRQ(ierr); ierr = SNESSetFunctionType(snes,SNES_FUNCTION_PRECONDITIONED);CHKERRQ(ierr); ierr = SNESGetNPC(snes,&npc);CHKERRQ(ierr); ierr = SNESSetType(npc,SNESNASM);CHKERRQ(ierr); ierr = SNESNASMSetType(npc,PC_ASM_BASIC);CHKERRQ(ierr); ierr = SNESNASMSetComputeFinalJacobian(npc,PETSC_TRUE);CHKERRQ(ierr); ierr = SNESGetKSP(snes,&ksp);CHKERRQ(ierr); ierr = KSPGetPC(ksp,&pc);CHKERRQ(ierr); ierr = PCSetType(pc,PCNONE);CHKERRQ(ierr); ierr = SNESGetLineSearch(snes,&linesearch);CHKERRQ(ierr); ierr = SNESLineSearchSetType(linesearch,SNESLINESEARCHBT);CHKERRQ(ierr); /* set up the shell matrix */ ierr = SNESGetFunction(snes,&F,NULL,NULL);CHKERRQ(ierr); ierr = VecGetLocalSize(F,&n);CHKERRQ(ierr); ierr = MatCreateShell(PetscObjectComm((PetscObject)snes),n,n,PETSC_DECIDE,PETSC_DECIDE,snes,&aspinmat);CHKERRQ(ierr); ierr = MatSetType(aspinmat,MATSHELL);CHKERRQ(ierr); ierr = MatShellSetOperation(aspinmat,MATOP_MULT,(void(*)(void))MatMultASPIN);CHKERRQ(ierr); ierr = SNESSetJacobian(snes,aspinmat,NULL,NULL,NULL);CHKERRQ(ierr); ierr = MatDestroy(&aspinmat);CHKERRQ(ierr); snes->ops->destroy = SNESDestroy_ASPIN; PetscFunctionReturn(0); }