/* Laplacian in 3D. Use for testing MatSolve routines. Modeled by the partial differential equation - Laplacian u = 1,0 < x,y,z < 1, with boundary conditions u = 1 for x = 0, x = 1, y = 0, y = 1, z = 0, z = 1. */ static char help[] = "This example is for testing different MatSolve routines :MatSolve(), MatSolveAdd(), MatSolveTranspose(), MatSolveTransposeAdd(), and MatMatSolve().\n\ Example usage: ./ex129 -mat_type aij -dof 2\n\n"; #include #include extern PetscErrorCode ComputeMatrix(DM,Mat); extern PetscErrorCode ComputeRHS(DM,Vec); extern PetscErrorCode ComputeRHSMatrix(PetscInt,PetscInt,Mat*); int main(int argc,char **args) { PetscErrorCode ierr; PetscMPIInt size; Vec x,b,y,b1; DM da; Mat A,F,RHS,X,C1; MatFactorInfo info; IS perm,iperm; PetscInt dof =1,M=8,m,n,nrhs; PetscScalar one = 1.0; PetscReal norm,tol = 1000*PETSC_MACHINE_EPSILON; PetscBool InplaceLU=PETSC_FALSE; ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr; CHKERRMPI(MPI_Comm_size(PETSC_COMM_WORLD,&size)); PetscCheckFalse(size != 1,PETSC_COMM_WORLD,PETSC_ERR_WRONG_MPI_SIZE,"This is a uniprocessor example only"); CHKERRQ(PetscOptionsGetInt(NULL,NULL,"-dof",&dof,NULL)); CHKERRQ(PetscOptionsGetInt(NULL,NULL,"-M",&M,NULL)); CHKERRQ(DMDACreate(PETSC_COMM_WORLD,&da)); CHKERRQ(DMSetDimension(da,3)); CHKERRQ(DMDASetBoundaryType(da,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE)); CHKERRQ(DMDASetStencilType(da,DMDA_STENCIL_STAR)); CHKERRQ(DMDASetSizes(da,M,M,M)); CHKERRQ(DMDASetNumProcs(da,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE)); CHKERRQ(DMDASetDof(da,dof)); CHKERRQ(DMDASetStencilWidth(da,1)); CHKERRQ(DMDASetOwnershipRanges(da,NULL,NULL,NULL)); CHKERRQ(DMSetMatType(da,MATBAIJ)); CHKERRQ(DMSetFromOptions(da)); CHKERRQ(DMSetUp(da)); CHKERRQ(DMCreateGlobalVector(da,&x)); CHKERRQ(DMCreateGlobalVector(da,&b)); CHKERRQ(VecDuplicate(b,&y)); CHKERRQ(ComputeRHS(da,b)); CHKERRQ(VecSet(y,one)); CHKERRQ(DMCreateMatrix(da,&A)); CHKERRQ(ComputeMatrix(da,A)); CHKERRQ(MatGetSize(A,&m,&n)); nrhs = 2; CHKERRQ(PetscOptionsGetInt(NULL,NULL,"-nrhs",&nrhs,NULL)); CHKERRQ(ComputeRHSMatrix(m,nrhs,&RHS)); CHKERRQ(MatDuplicate(RHS,MAT_DO_NOT_COPY_VALUES,&X)); CHKERRQ(MatGetOrdering(A,MATORDERINGND,&perm,&iperm)); CHKERRQ(PetscOptionsGetBool(NULL,NULL,"-inplacelu",&InplaceLU,NULL)); CHKERRQ(MatFactorInfoInitialize(&info)); if (!InplaceLU) { CHKERRQ(MatGetFactor(A,MATSOLVERPETSC,MAT_FACTOR_LU,&F)); info.fill = 5.0; CHKERRQ(MatLUFactorSymbolic(F,A,perm,iperm,&info)); CHKERRQ(MatLUFactorNumeric(F,A,&info)); } else { /* Test inplace factorization */ CHKERRQ(MatDuplicate(A,MAT_COPY_VALUES,&F)); CHKERRQ(MatLUFactor(F,perm,iperm,&info)); } CHKERRQ(VecDuplicate(y,&b1)); /* MatSolve */ CHKERRQ(MatSolve(F,b,x)); CHKERRQ(MatMult(A,x,b1)); CHKERRQ(VecAXPY(b1,-1.0,b)); CHKERRQ(VecNorm(b1,NORM_2,&norm)); if (norm > tol) { CHKERRQ(PetscPrintf(PETSC_COMM_WORLD,"MatSolve : Error of norm %g\n",(double)norm)); } /* MatSolveTranspose */ CHKERRQ(MatSolveTranspose(F,b,x)); CHKERRQ(MatMultTranspose(A,x,b1)); CHKERRQ(VecAXPY(b1,-1.0,b)); CHKERRQ(VecNorm(b1,NORM_2,&norm)); if (norm > tol) { CHKERRQ(PetscPrintf(PETSC_COMM_WORLD,"MatSolveTranspose : Error of norm %g\n",(double)norm)); } /* MatSolveAdd */ CHKERRQ(MatSolveAdd(F,b,y,x)); CHKERRQ(MatMult(A,y,b1)); CHKERRQ(VecScale(b1,-1.0)); CHKERRQ(MatMultAdd(A,x,b1,b1)); CHKERRQ(VecAXPY(b1,-1.0,b)); CHKERRQ(VecNorm(b1,NORM_2,&norm)); if (norm > tol) { CHKERRQ(PetscPrintf(PETSC_COMM_WORLD,"MatSolveAdd : Error of norm %g\n",(double)norm)); } /* MatSolveTransposeAdd */ CHKERRQ(MatSolveTransposeAdd(F,b,y,x)); CHKERRQ(MatMultTranspose(A,y,b1)); CHKERRQ(VecScale(b1,-1.0)); CHKERRQ(MatMultTransposeAdd(A,x,b1,b1)); CHKERRQ(VecAXPY(b1,-1.0,b)); CHKERRQ(VecNorm(b1,NORM_2,&norm)); if (norm > tol) { CHKERRQ(PetscPrintf(PETSC_COMM_WORLD,"MatSolveTransposeAdd : Error of norm %g\n",(double)norm)); } /* MatMatSolve */ CHKERRQ(MatMatSolve(F,RHS,X)); CHKERRQ(MatMatMult(A,X,MAT_INITIAL_MATRIX,2.0,&C1)); CHKERRQ(MatAXPY(C1,-1.0,RHS,SAME_NONZERO_PATTERN)); CHKERRQ(MatNorm(C1,NORM_FROBENIUS,&norm)); if (norm > tol) { CHKERRQ(PetscPrintf(PETSC_COMM_WORLD,"MatMatSolve : Error of norm %g\n",(double)norm)); } CHKERRQ(VecDestroy(&x)); CHKERRQ(VecDestroy(&b)); CHKERRQ(VecDestroy(&b1)); CHKERRQ(VecDestroy(&y)); CHKERRQ(MatDestroy(&A)); CHKERRQ(MatDestroy(&F)); CHKERRQ(MatDestroy(&RHS)); CHKERRQ(MatDestroy(&C1)); CHKERRQ(MatDestroy(&X)); CHKERRQ(ISDestroy(&perm)); CHKERRQ(ISDestroy(&iperm)); CHKERRQ(DMDestroy(&da)); ierr = PetscFinalize(); return ierr; } PetscErrorCode ComputeRHS(DM da,Vec b) { PetscInt mx,my,mz; PetscScalar h; PetscFunctionBegin; CHKERRQ(DMDAGetInfo(da,0,&mx,&my,&mz,0,0,0,0,0,0,0,0,0)); h = 1.0/((mx-1)*(my-1)*(mz-1)); CHKERRQ(VecSet(b,h)); PetscFunctionReturn(0); } PetscErrorCode ComputeRHSMatrix(PetscInt m,PetscInt nrhs,Mat *C) { PetscRandom rand; Mat RHS; PetscScalar *array,rval; PetscInt i,k; PetscFunctionBegin; CHKERRQ(MatCreate(PETSC_COMM_WORLD,&RHS)); CHKERRQ(MatSetSizes(RHS,m,PETSC_DECIDE,PETSC_DECIDE,nrhs)); CHKERRQ(MatSetType(RHS,MATSEQDENSE)); CHKERRQ(MatSetUp(RHS)); CHKERRQ(PetscRandomCreate(PETSC_COMM_WORLD,&rand)); CHKERRQ(PetscRandomSetFromOptions(rand)); CHKERRQ(MatDenseGetArray(RHS,&array)); for (i=0; i 1) { for (k=1; k