static char help[] = "Tests the various sequential routines in MatSBAIJ format. Same as ex74.c except diagonal entries of the matrices are zeros.\n"; #include "petscmat.h" #undef __FUNCT__ #define __FUNCT__ "main" int main(int argc,char **args) { Vec x,y,b,s1,s2; Mat A; /* linear system matrix */ Mat sA; /* symmetric part of the matrices */ PetscInt n,mbs=16,bs=1,nz=3,prob=2,i,j,col[3],row,Ii,J,n1,*ip_ptr; PetscScalar neg_one = -1.0,value[3],alpha=0.1; PetscMPIInt size; PetscErrorCode ierr; IS ip, isrow, iscol; PetscRandom rdm; PetscTruth reorder=PETSC_FALSE; MatInfo minfo1,minfo2; PetscReal norm1,norm2,tol=1.e-10; PetscInitialize(&argc,&args,(char *)0,help); ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr); if (size != 1) SETERRQ(1,"This is a uniprocessor example only!"); ierr = PetscOptionsGetInt(PETSC_NULL,"-bs",&bs,PETSC_NULL);CHKERRQ(ierr); ierr = PetscOptionsGetInt(PETSC_NULL,"-mbs",&mbs,PETSC_NULL);CHKERRQ(ierr); n = mbs*bs; ierr=MatCreateSeqBAIJ(PETSC_COMM_WORLD,bs,n,n,nz,PETSC_NULL, &A);CHKERRQ(ierr); ierr=MatCreateSeqSBAIJ(PETSC_COMM_WORLD,bs,n,n,nz,PETSC_NULL, &sA);CHKERRQ(ierr); /* Test MatGetOwnershipRange() */ ierr = MatGetOwnershipRange(A,&Ii,&J);CHKERRQ(ierr); ierr = MatGetOwnershipRange(sA,&i,&j);CHKERRQ(ierr); if (i-Ii || j-J){ ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatGetOwnershipRange() in MatSBAIJ format\n");CHKERRQ(ierr); } /* Assemble matrix */ if (bs == 1){ ierr = PetscOptionsGetInt(PETSC_NULL,"-test_problem",&prob,PETSC_NULL);CHKERRQ(ierr); if (prob == 1){ /* tridiagonal matrix */ value[0] = -1.0; value[1] = 2.0; value[2] = -1.0; for (i=1; i0) { J = Ii - n1; ierr = MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES);CHKERRQ(ierr); ierr = MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES);CHKERRQ(ierr); } if (i0) { J = Ii - 1; ierr = MatSetValues(A,1,&Ii,1,&J,&neg_one,INSERT_VALUES);CHKERRQ(ierr); ierr = MatSetValues(sA,1,&Ii,1,&J,&neg_one,INSERT_VALUES);CHKERRQ(ierr); } if (j 1 */ #ifdef DIAGB for (block=0; blocktol){ ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm(), fnorm1-fnorm2=%16.14e\n",norm1);CHKERRQ(ierr); } ierr = MatNorm(A,NORM_INFINITY,&norm1);CHKERRQ(ierr); ierr = MatNorm(sA,NORM_INFINITY,&norm2);CHKERRQ(ierr); norm1 -= norm2; if (norm1<-tol || norm1>tol){ ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm(), inf_norm1-inf_norm2=%16.14e\n",norm1);CHKERRQ(ierr); } /* Test MatGetInfo(), MatGetSize(), MatGetBlockSize() */ ierr = MatGetInfo(A,MAT_LOCAL,&minfo1);CHKERRQ(ierr); ierr = MatGetInfo(sA,MAT_LOCAL,&minfo2);CHKERRQ(ierr); /* printf("matrix nonzeros (BAIJ format) = %d, allocated nonzeros= %d\n", (int)minfo1.nz_used,(int)minfo1.nz_allocated); printf("matrix nonzeros(SBAIJ format) = %d, allocated nonzeros= %d\n", (int)minfo2.nz_used,(int)minfo2.nz_allocated); */ i = (int) (minfo1.nz_used - minfo2.nz_used); j = (int) (minfo1.nz_allocated - minfo2.nz_allocated); if (i<0 || j<0) { ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatGetInfo()\n");CHKERRQ(ierr); } ierr = MatGetSize(A,&Ii,&J);CHKERRQ(ierr); ierr = MatGetSize(sA,&i,&j);CHKERRQ(ierr); if (i-Ii || j-J) { PetscPrintf(PETSC_COMM_SELF,"Error: MatGetSize()\n");CHKERRQ(ierr); } ierr = MatGetBlockSize(A, &Ii);CHKERRQ(ierr); ierr = MatGetBlockSize(sA, &i);CHKERRQ(ierr); if (i-Ii){ ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatGetBlockSize()\n");CHKERRQ(ierr); } /* Test MatDiagonalScale(), MatGetDiagonal(), MatScale() */ ierr = PetscRandomCreate(PETSC_COMM_SELF,&rdm);CHKERRQ(ierr); ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr); ierr = VecCreateSeq(PETSC_COMM_SELF,n,&x);CHKERRQ(ierr); ierr = VecDuplicate(x,&s1);CHKERRQ(ierr); ierr = VecDuplicate(x,&s2);CHKERRQ(ierr); ierr = VecDuplicate(x,&y);CHKERRQ(ierr); ierr = VecDuplicate(x,&b);CHKERRQ(ierr); ierr = VecSetRandom(x,rdm);CHKERRQ(ierr); ierr = MatDiagonalScale(A,x,x);CHKERRQ(ierr); ierr = MatDiagonalScale(sA,x,x);CHKERRQ(ierr); ierr = MatGetDiagonal(A,s1);CHKERRQ(ierr); ierr = MatGetDiagonal(sA,s2);CHKERRQ(ierr); ierr = VecNorm(s1,NORM_1,&norm1);CHKERRQ(ierr); ierr = VecNorm(s2,NORM_1,&norm2);CHKERRQ(ierr); norm1 -= norm2; if (norm1<-tol || norm1>tol) { ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatGetDiagonal() \n");CHKERRQ(ierr); } ierr = MatScale(A,alpha);CHKERRQ(ierr); ierr = MatScale(sA,alpha);CHKERRQ(ierr); /* Test MatMult(), MatMultAdd() */ for (i=0; i<40; i++) { ierr = VecSetRandom(x,rdm);CHKERRQ(ierr); ierr = MatMult(A,x,s1);CHKERRQ(ierr); ierr = MatMult(sA,x,s2);CHKERRQ(ierr); ierr = VecNorm(s1,NORM_1,&norm1);CHKERRQ(ierr); ierr = VecNorm(s2,NORM_1,&norm2);CHKERRQ(ierr); norm1 -= norm2; if (norm1<-tol || norm1>tol) { ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatMult(), MatDiagonalScale() or MatScale()\n");CHKERRQ(ierr); } } for (i=0; i<40; i++) { ierr = VecSetRandom(x,rdm);CHKERRQ(ierr); ierr = VecSetRandom(y,rdm);CHKERRQ(ierr); ierr = MatMultAdd(A,x,y,s1);CHKERRQ(ierr); ierr = MatMultAdd(sA,x,y,s2);CHKERRQ(ierr); ierr = VecNorm(s1,NORM_1,&norm1);CHKERRQ(ierr); ierr = VecNorm(s2,NORM_1,&norm2);CHKERRQ(ierr); norm1 -= norm2; if (norm1<-tol || norm1>tol) { ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatMultAdd(), MatDiagonalScale() or MatScale() \n");CHKERRQ(ierr); } } /* Test MatReordering() */ ierr = MatGetOrdering(A,MATORDERING_NATURAL,&isrow,&iscol);CHKERRQ(ierr); ip = isrow; if (reorder){ ierr = ISGetIndices(ip,&ip_ptr);CHKERRQ(ierr); i = ip_ptr[1]; ip_ptr[1] = ip_ptr[mbs-2]; ip_ptr[mbs-2] = i; i = ip_ptr[0]; ip_ptr[0] = ip_ptr[mbs-1]; ip_ptr[mbs-1] = i; ierr= ISRestoreIndices(ip,&ip_ptr);CHKERRQ(ierr); ierr = MatReorderingSeqSBAIJ(sA, ip);CHKERRQ(ierr); /* ierr = ISView(ip, VIEWER_STDOUT_SELF);CHKERRQ(ierr); ierr = MatView(sA,VIEWER_DRAW_SELF);CHKERRQ(ierr); */ } ierr = ISDestroy(iscol);CHKERRQ(ierr); /* ierr = ISDestroy(isrow);CHKERRQ(ierr);*/ ierr = ISDestroy(isrow);CHKERRQ(ierr); ierr = MatDestroy(A);CHKERRQ(ierr); ierr = MatDestroy(sA);CHKERRQ(ierr); ierr = VecDestroy(x);CHKERRQ(ierr); ierr = VecDestroy(y);CHKERRQ(ierr); ierr = VecDestroy(s1);CHKERRQ(ierr); ierr = VecDestroy(s2);CHKERRQ(ierr); ierr = VecDestroy(b);CHKERRQ(ierr); ierr = PetscRandomDestroy(rdm);CHKERRQ(ierr); ierr = PetscFinalize();CHKERRQ(ierr); return 0; }