static char help[] = "Tests LU, Cholesky factorization and MatMatSolve() for a sequential dense matrix. \n\ For MATSEQDENSE matrix, the factorization is just a thin wrapper to LAPACK \n\n"; #include "petscmat.h" #undef __FUNCT__ #define __FUNCT__ "main" int main(int argc,char **argv) { Mat mat,F,RHS,SOLU; MatInfo info; PetscErrorCode ierr; PetscInt m = 10,n = 10,i,j,rstart,rend,nrhs=2; PetscScalar value = 1.0; Vec x,y,b,ytmp; PetscReal norm; PetscMPIInt size; PetscScalar *rhs_array,*solu_array; PetscRandom rand; PetscScalar *array,rval; PetscInitialize(&argc,&argv,(char*) 0,help); ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr); if (size != 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"This is a uniprocessor example only!"); /* create single vectors */ ierr = VecCreate(PETSC_COMM_WORLD,&y);CHKERRQ(ierr); ierr = VecSetSizes(y,PETSC_DECIDE,m);CHKERRQ(ierr); ierr = VecSetFromOptions(y);CHKERRQ(ierr); ierr = VecDuplicate(y,&x);CHKERRQ(ierr); ierr = VecDuplicate(y,&ytmp);CHKERRQ(ierr); ierr = VecSet(x,value);CHKERRQ(ierr); ierr = VecCreate(PETSC_COMM_WORLD,&b);CHKERRQ(ierr); ierr = VecSetSizes(b,PETSC_DECIDE,n);CHKERRQ(ierr); ierr = VecSetFromOptions(b);CHKERRQ(ierr); /* create multiple vectors RHS and SOLU */ ierr = MatCreate(PETSC_COMM_WORLD,&RHS);CHKERRQ(ierr); ierr = MatSetSizes(RHS,PETSC_DECIDE,PETSC_DECIDE,n,nrhs);CHKERRQ(ierr); ierr = MatSetType(RHS,MATDENSE);CHKERRQ(ierr); ierr = MatSetFromOptions(RHS);CHKERRQ(ierr); ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rand);CHKERRQ(ierr); ierr = PetscRandomSetFromOptions(rand);CHKERRQ(ierr); ierr = MatGetArray(RHS,&array);CHKERRQ(ierr); for (j=0; j 1.e-12){ ierr = PetscPrintf(PETSC_COMM_WORLD,"Error: Norm of residual for LU %A\n",norm);CHKERRQ(ierr); } ierr = VecResetArray(b);CHKERRQ(ierr); ierr = VecResetArray(y);CHKERRQ(ierr); ierr = MatRestoreArray(RHS,&rhs_array);CHKERRQ(ierr); ierr = MatRestoreArray(SOLU,&solu_array);CHKERRQ(ierr); } ierr = MatDestroy(F);CHKERRQ(ierr); /* out-place LU */ ierr = MatGetFactor(mat,MATSOLVERPETSC,MAT_FACTOR_LU,&F);CHKERRQ(ierr); ierr = MatLUFactorSymbolic(F,mat,0,0,0);CHKERRQ(ierr); ierr = MatLUFactorNumeric(F,mat,0);CHKERRQ(ierr); ierr = MatSolve(F,b,y);CHKERRQ(ierr); value = -1.0; ierr = VecAXPY(y,value,x);CHKERRQ(ierr); ierr = VecNorm(y,NORM_2,&norm);CHKERRQ(ierr); ierr = PetscPrintf(PETSC_COMM_WORLD,"Norm of error for LU %A\n",norm);CHKERRQ(ierr); /* free space */ ierr = MatDestroy(F);CHKERRQ(ierr); ierr = MatDestroy(mat);CHKERRQ(ierr); ierr = MatDestroy(RHS);CHKERRQ(ierr); ierr = MatDestroy(SOLU);CHKERRQ(ierr); ierr = PetscRandomDestroy(rand);CHKERRQ(ierr); ierr = VecDestroy(x);CHKERRQ(ierr); ierr = VecDestroy(b);CHKERRQ(ierr); ierr = VecDestroy(y);CHKERRQ(ierr); ierr = VecDestroy(ytmp);CHKERRQ(ierr); ierr = PetscFinalize(); return 0; }