#define PETSCKSP_DLL #include "petscpc.h" /*I "petscpc.h" I*/ #include "petscmg.h" /*I "petscmg.h" I*/ #include "petscda.h" /*I "petscda.h" I*/ #include "../src/ksp/pc/impls/mg/mgimpl.h" const char *PCExoticTypes[] = {"face","wirebasket","PCExoticType","PC_Exotic",0}; extern PetscErrorCode DAGetWireBasketInterpolation(DA,Mat,MatReuse,Mat*); extern PetscErrorCode DAGetFaceInterpolation(DA,Mat,MatReuse,Mat*); typedef struct { DA da; PCExoticType type; Mat P; /* the interpolation matrix */ } PC_Exotic; #undef __FUNCT__ #define __FUNCT__ "PCExoticSetType" /*@ PCExoticSetType - Sets the type of coarse grid interpolation to use Collective on PC Input Parameters: + pc - the preconditioner context - type - either PC_EXOTIC_FACE or PC_EXOTIC_WIREBASKET (defaults to face) Notes: The face based interpolation has 1 degree of freedom per face and ignores the edge and vertex values completely in the coarse problem. For any seven point stencil the interpolation of a constant on all faces into the interior is that constant. The wirebasket interpolation has 1 degree of freedom per vertex, per edge and per face. A constant on the subdomain boundary is interpolated as that constant in the interior of the domain. The coarse grid matrix is obtained via the Galerkin computation A_c = R A R^T, hence if A is nonsingular A_c is also nonsingular. Both interpolations are suitable for only scalar problems. Level: intermediate .seealso: PCEXOTIC, PCExoticType() @*/ PetscErrorCode PETSCKSP_DLLEXPORT PCExoticSetType(PC pc,PCExoticType type) { PetscErrorCode ierr,(*f)(PC,PCExoticType); PetscFunctionBegin; PetscValidHeaderSpecific(pc,PC_COOKIE,1); ierr = PetscObjectQueryFunction((PetscObject)pc,"PCExoticSetType_C",(void (**)(void))&f);CHKERRQ(ierr); if (f) { ierr = (*f)(pc,type);CHKERRQ(ierr); } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCExoticSetType_Exotic" PetscErrorCode PETSCKSP_DLLEXPORT PCExoticSetType_Exotic(PC pc,PCExoticType type) { PC_MG **mg = (PC_MG**)pc->data; PC_Exotic *ctx = (PC_Exotic*) mg[0]->innerctx; PetscFunctionBegin; ctx->type = type; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCSetUp_Exotic" PetscErrorCode PCSetUp_Exotic(PC pc) { PetscErrorCode ierr; Mat A; PC_MG **mg = (PC_MG**)pc->data; PC_Exotic *ex = (PC_Exotic*) mg[0]->innerctx; DA da = ex->da; MatReuse reuse = (ex->P) ? MAT_REUSE_MATRIX : MAT_INITIAL_MATRIX; PetscFunctionBegin; ierr = PCGetOperators(pc,PETSC_NULL,&A,PETSC_NULL);CHKERRQ(ierr); if (ex->type == PC_EXOTIC_FACE) { ierr = DAGetFaceInterpolation(da,A,reuse,&ex->P);CHKERRQ(ierr); } else if (ex->type == PC_EXOTIC_WIREBASKET) { ierr = DAGetWireBasketInterpolation(da,A,reuse,&ex->P);CHKERRQ(ierr); } else SETERRQ1(PETSC_ERR_PLIB,"Unknown exotic coarse space %d",ex->type); ierr = PCMGSetInterpolation(pc,1,ex->P);CHKERRQ(ierr); ierr = PCSetUp_MG(pc);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCDestroy_Exotic" PetscErrorCode PCDestroy_Exotic(PC pc) { PetscErrorCode ierr; PC_MG **mg = (PC_MG**)pc->data; PC_Exotic *ctx = (PC_Exotic*) mg[0]->innerctx; PetscFunctionBegin; if (ctx->da) {ierr = DADestroy(ctx->da);CHKERRQ(ierr);} if (ctx->P) {ierr = MatDestroy(ctx->P);CHKERRQ(ierr);} ierr = PetscFree(ctx);CHKERRQ(ierr); ierr = PCDestroy_MG(pc);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCSetUp_Exotic_Error" PetscErrorCode PCSetUp_Exotic_Error(PC pc) { PetscFunctionBegin; SETERRQ(PETSC_ERR_ARG_WRONGSTATE,"You are using the Exotic preconditioner but never called PCExoticSetDA()"); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCExoticSetDA" /*@ PCExoticSetDA - Sets the DA that is to be used by the PCEXOTIC preconditioner Collective on PC Input Parameters: + pc - the preconditioner context - da - the da Level: intermediate .seealso: PCEXOTIC, PCExoticType() @*/ PetscErrorCode PETSCKSP_DLLEXPORT PCExoticSetDA(PC pc,DA da) { PetscErrorCode ierr,(*f)(PC,DA); PetscFunctionBegin; PetscValidHeaderSpecific(pc,PC_COOKIE,1); PetscValidHeaderSpecific(da,DM_COOKIE,1); ierr = PetscObjectQueryFunction((PetscObject)pc,"PCExoticSetDA_C",(void (**)(void))&f);CHKERRQ(ierr); if (f) { ierr = (*f)(pc,da);CHKERRQ(ierr); } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCExoticSetDA_Exotic" PetscErrorCode PETSCKSP_DLLEXPORT PCExoticSetDA_Exotic(PC pc,DA da) { PetscErrorCode ierr; PC_MG **mg = (PC_MG**)pc->data; PC_Exotic *ctx = (PC_Exotic*) mg[0]->innerctx; PetscFunctionBegin; ctx->da = da; pc->ops->setup = PCSetUp_Exotic; ierr = PetscObjectReference((PetscObject)da);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCView_Exotic" PetscErrorCode PCView_Exotic(PC pc,PetscViewer viewer) { PC_MG **mg = (PC_MG**)pc->data; PetscErrorCode ierr; PetscTruth iascii; PC_Exotic *ctx = (PC_Exotic*) mg[0]->innerctx; PetscFunctionBegin; ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&iascii);CHKERRQ(ierr); if (iascii) { ierr = PetscViewerASCIIPrintf(viewer," Exotic type = %s\n",PCExoticTypes[ctx->type]);CHKERRQ(ierr); } ierr = PCView_MG(pc,viewer);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCSetFromOptions_Exotic" PetscErrorCode PCSetFromOptions_Exotic(PC pc) { PetscErrorCode ierr; PetscTruth flg; PC_MG **mg = (PC_MG**)pc->data; PCExoticType mgctype; PC_Exotic *ctx = (PC_Exotic*) mg[0]->innerctx; PetscFunctionBegin; ierr = PetscOptionsHead("Exotic coarse space options");CHKERRQ(ierr); ierr = PetscOptionsEnum("-pc_exotic_type","face or wirebasket","PCExoticSetType",PCExoticTypes,(PetscEnum)ctx->type,(PetscEnum*)&mgctype,&flg);CHKERRQ(ierr); if (flg) { ierr = PCExoticSetType(pc,mgctype);CHKERRQ(ierr); } ierr = PetscOptionsTail();CHKERRQ(ierr); PetscFunctionReturn(0); } /*MC PCEXOTIC - Two level overlapping Schwarz preconditioner with exotic (non-standard) coarse grid spaces This uses the PCMG infrastructure restricted to two levels and the face and wirebasket based coarse grid spaces. These coarse grid spaces originate in the work of Bramble, Pasciak and Schatz, "The Construction of Preconditioners for Elliptic Problems by Substructing IV", Mathematics of Computation, volume 53 pages 1--24, 1989. They were generalized slightly in "Domain Decomposition Method for Linear Elasticity", Ph. D. thesis, Barry Smith, New York University, 1990. They were then explored in great detail in Dryja, Smith, Widlund, "Schwarz Analysis of Iterative Substructuring Methods for Elliptic Problems in Three Dimensions, SIAM Journal on Numerical Analysis, volume 31. pages 1662-1694, 1994. These were developed in the context of iterative substructuring preconditioners. They were then ingeniously applied as coarse grid spaces for overlapping Schwarz methods by Dohrmann and Widlund. They refer to them as GDSW (generalized Dryja, Smith, Widlund preconditioners). See, for example, Clark R. Dohrmann, Axel Klawonn, and Olof B. Widlund. Extending theory for domain decomposition algorithms to irregular subdomains. In Ulrich Langer, Marco Discacciati, David Keyes, Olof Widlund, and Walter Zulehner, editors, Proceedings of the 17th International Conference on Domain Decomposition Methods in Science and Engineering, held in Strobl, Austria, July 3-7, 2006, number 60 in Springer-Verlag, Lecture Notes in Computational Science and Engineering, pages 255-261, 2007. Clark R. Dohrmann, Axel Klawonn, and Olof B. Widlund. A family of energy min- imizing coarse spaces for overlapping Schwarz preconditioners. In Ulrich Langer, Marco Discacciati, David Keyes, OlofWidlund, andWalter Zulehner, editors, Proceedings of the 17th International Conference on Domain Decomposition Methods in Science and Engineering, held in Strobl, Austria, July 3-7, 2006, number 60 in Springer-Verlag, Lecture Notes in Computational Science and Engineering, pages 247-254, 2007 Clark R. Dohrmann, Axel Klawonn, and Olof B. Widlund. Domain decomposition for less regular subdomains: Overlapping Schwarz in two dimensions. SIAM J. Numer. Anal., 46(4):2153-2168, 2008. Clark R. Dohrmann and Olof B. Widlund. An overlapping Schwarz algorithm for almost incompressible elasticity. Technical Report TR2008-912, Department of Computer Science, Courant Institute of Mathematical Sciences, New York University, May 2008. URL: http://cs.nyu.edu/csweb/Research/TechReports/TR2008-912/TR2008-912.pdf Options Database: The usual PCMG options are supported, such as -mg_levels_pc_type -mg_coarse_pc_type -pc_mg_type Level: advanced .seealso: PCMG, PCExoticSetDA(), PCExoticType, PCExoticSetType() M*/ EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "PCCreate_Exotic" PetscErrorCode PETSCKSP_DLLEXPORT PCCreate_Exotic(PC pc) { PetscErrorCode ierr; PC_Exotic *ex; PC_MG **mg; PetscFunctionBegin; ierr = PCSetType(pc,PCMG);CHKERRQ(ierr); ierr = PCMGSetLevels(pc,2,PETSC_NULL);CHKERRQ(ierr); ierr = PCMGSetGalerkin(pc);CHKERRQ(ierr); ierr = PetscNew(PC_Exotic,&ex);CHKERRQ(ierr);\ ex->type = PC_EXOTIC_FACE; mg = (PC_MG**) pc->data; mg[0]->innerctx = ex; pc->ops->setfromoptions = PCSetFromOptions_Exotic; pc->ops->view = PCView_Exotic; pc->ops->destroy = PCDestroy_Exotic; pc->ops->setup = PCSetUp_Exotic_Error; ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCExoticSetType_C","PCExoticSetType_Exotic",PCExoticSetType_Exotic);CHKERRQ(ierr); ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCExoticSetDA_C","PCExoticSetDA_Exotic",PCExoticSetDA_Exotic);CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_END