int main(int argc, char **argv)
{
Mat mat;
MatNullSpace nsp;
PetscBool prefix = PETSC_FALSE, flg;
PetscErrorCode ierr;
PetscInt zero = 0;
PetscScalar value = 0;
ierr = PetscInitialize(&argc, &argv, NULL, help); if (ierr) return ierr;
ierr = PetscOptionsGetBool(NULL, NULL, "-with_prefix",&prefix,NULL);CHKERRQ(ierr);
ierr = MatCreateDense(PETSC_COMM_WORLD, 1, 1, 1, 1, NULL, &mat);CHKERRQ(ierr);
ierr = MatSetOptionsPrefix(mat, prefix ? "prefix_" : NULL);CHKERRQ(ierr);
ierr = MatSetUp(mat);CHKERRQ(ierr);
ierr = MatSetValues(mat, 1, &zero, 1, &zero, &value, INSERT_VALUES);CHKERRQ(ierr);
ierr = MatAssemblyBegin(mat, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatAssemblyEnd(mat, MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatNullSpaceCreate(PETSC_COMM_WORLD, PETSC_TRUE, 0, NULL, &nsp);CHKERRQ(ierr);
ierr = MatNullSpaceTest(nsp, mat, &flg);CHKERRQ(ierr);
if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_PLIB,"Null space test failed!");
ierr = MatNullSpaceDestroy(&nsp);CHKERRQ(ierr);
ierr = MatDestroy(&mat);CHKERRQ(ierr);
ierr = PetscFinalize();
return ierr;
}
PetscErrorCode BVResize_Mat(BV bv,PetscInt m,PetscBool copy)
{
PetscErrorCode ierr;
BV_MAT *ctx = (BV_MAT*)bv->data;
PetscScalar *pA,*pnew;
Mat A;
char str[50];
PetscFunctionBegin;
ierr = MatCreateDense(PetscObjectComm((PetscObject)bv->t),bv->n,PETSC_DECIDE,PETSC_DECIDE,m,NULL,&A);CHKERRQ(ierr);
ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = PetscLogObjectParent((PetscObject)bv,(PetscObject)A);CHKERRQ(ierr);
if (((PetscObject)bv)->name) {
ierr = PetscSNPrintf(str,50,"%s_0",((PetscObject)bv)->name);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject)A,str);CHKERRQ(ierr);
}
if (copy) {
ierr = MatDenseGetArray(ctx->A,&pA);CHKERRQ(ierr);
ierr = MatDenseGetArray(A,&pnew);CHKERRQ(ierr);
ierr = PetscMemcpy(pnew,pA,PetscMin(m,bv->m)*bv->n*sizeof(PetscScalar));CHKERRQ(ierr);
ierr = MatDenseRestoreArray(ctx->A,&pA);CHKERRQ(ierr);
ierr = MatDenseRestoreArray(A,&pnew);CHKERRQ(ierr);
}
ierr = MatDestroy(&ctx->A);CHKERRQ(ierr);
ctx->A = A;
PetscFunctionReturn(0);
}
PETSC_EXTERN PetscErrorCode BVCreate_Mat(BV bv)
{
PetscErrorCode ierr;
BV_MAT *ctx;
PetscInt nloc,bs;
PetscBool seq;
char str[50];
PetscFunctionBegin;
ierr = PetscNewLog(bv,&ctx);CHKERRQ(ierr);
bv->data = (void*)ctx;
ierr = PetscObjectTypeCompare((PetscObject)bv->t,VECMPI,&ctx->mpi);CHKERRQ(ierr);
if (!ctx->mpi) {
ierr = PetscObjectTypeCompare((PetscObject)bv->t,VECSEQ,&seq);CHKERRQ(ierr);
if (!seq) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot create a BVMAT from a non-standard template vector");
}
ierr = VecGetLocalSize(bv->t,&nloc);CHKERRQ(ierr);
ierr = VecGetBlockSize(bv->t,&bs);CHKERRQ(ierr);
ierr = MatCreateDense(PetscObjectComm((PetscObject)bv->t),nloc,PETSC_DECIDE,PETSC_DECIDE,bv->m,NULL,&ctx->A);CHKERRQ(ierr);
ierr = MatAssemblyBegin(ctx->A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatAssemblyEnd(ctx->A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = PetscLogObjectParent((PetscObject)bv,(PetscObject)ctx->A);CHKERRQ(ierr);
if (((PetscObject)bv)->name) {
ierr = PetscSNPrintf(str,50,"%s_0",((PetscObject)bv)->name);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject)ctx->A,str);CHKERRQ(ierr);
}
if (ctx->mpi) {
ierr = VecCreateMPIWithArray(PetscObjectComm((PetscObject)bv->t),bs,nloc,PETSC_DECIDE,NULL,&bv->cv[0]);CHKERRQ(ierr);
ierr = VecCreateMPIWithArray(PetscObjectComm((PetscObject)bv->t),bs,nloc,PETSC_DECIDE,NULL,&bv->cv[1]);CHKERRQ(ierr);
} else {
ierr = VecCreateSeqWithArray(PetscObjectComm((PetscObject)bv->t),bs,nloc,NULL,&bv->cv[0]);CHKERRQ(ierr);
ierr = VecCreateSeqWithArray(PetscObjectComm((PetscObject)bv->t),bs,nloc,NULL,&bv->cv[1]);CHKERRQ(ierr);
}
bv->ops->mult = BVMult_Mat;
bv->ops->multvec = BVMultVec_Mat;
bv->ops->multinplace = BVMultInPlace_Mat;
bv->ops->multinplacetrans = BVMultInPlaceTranspose_Mat;
bv->ops->axpy = BVAXPY_Mat;
bv->ops->dot = BVDot_Mat;
bv->ops->dotvec = BVDotVec_Mat;
bv->ops->scale = BVScale_Mat;
bv->ops->norm = BVNorm_Mat;
/*bv->ops->orthogonalize = BVOrthogonalize_Mat;*/
bv->ops->matmult = BVMatMult_Mat;
bv->ops->copy = BVCopy_Mat;
bv->ops->resize = BVResize_Mat;
bv->ops->getcolumn = BVGetColumn_Mat;
bv->ops->restorecolumn = BVRestoreColumn_Mat;
bv->ops->getarray = BVGetArray_Mat;
bv->ops->restorearray = BVRestoreArray_Mat;
bv->ops->destroy = BVDestroy_Mat;
if (!ctx->mpi) bv->ops->view = BVView_Mat;
PetscFunctionReturn(0);
}
// -------------------------------------------------------------
// MatConvertGAtoDense
// -------------------------------------------------------------
PetscErrorCode
MatConvertGAToDense(Mat A, Mat *B)
{
PetscErrorCode ierr = 0;
MPI_Comm comm;
int nproc;
struct MatGACtx *ctx;
PetscInt lrows, grows, lcols, gcols, lo, hi;
ierr = PetscObjectGetComm((PetscObject)A, &comm); CHKERRQ(ierr);
ierr = MPI_Comm_size(comm, &nproc);
ierr = MatShellGetContext(A, &ctx); CHKERRQ(ierr);
ierr = MatGetSize(A, &grows, &gcols); CHKERRQ(ierr);
ierr = MatGetLocalSize(A, &lrows, &lcols); CHKERRQ(ierr);
ierr = MatCreateDense(comm, lrows, lcols, grows, gcols, NULL, B); CHKERRQ(ierr);
ierr = MatCreate(comm, B); CHKERRXX(ierr);
ierr = MatSetSizes(*B, lrows, lcols, grows, gcols); CHKERRXX(ierr);
if (nproc == 1) {
ierr = MatSetType(*B, MATSEQDENSE); CHKERRXX(ierr);
ierr = MatSeqDenseSetPreallocation(*B, PETSC_NULL); CHKERRXX(ierr);
} else {
ierr = MatSetType(*B, MATDENSE); CHKERRXX(ierr);
ierr = MatMPIDenseSetPreallocation(*B, PETSC_NULL); CHKERRXX(ierr);
}
ierr = MatGetOwnershipRange(*B, &lo, &hi); CHKERRQ(ierr);
std::vector<PetscInt> cidx(gcols);
for (PetscInt c = 0; c < gcols; ++c) {
cidx[c] = c;
}
std::vector<PetscScalar> rowvals(gcols);
for (PetscInt r = lo; r < hi; ++r) {
int glo[2] = {r, 0};
int ghi[2] = {r, gcols - 1};
int ld[2] = {1,1};
NGA_Get(ctx->ga, glo, ghi, &rowvals[0], ld);
ierr = MatSetValues(*B, 1, &r, gcols, &cidx[0], &rowvals[0], INSERT_VALUES); CHKERRQ(ierr);
}
ierr = MatAssemblyBegin(*B, MAT_FINAL_ASSEMBLY); CHKERRQ(ierr);
ierr = MatAssemblyEnd(*B, MAT_FINAL_ASSEMBLY); CHKERRQ(ierr);
return ierr;
}
int main(int argc, char **argv)
{
PetscErrorCode ierr;
PetscViewer viewer;
Mat A;
char filename[PETSC_MAX_PATH_LEN];
PetscBool flg;
ierr = PetscInitialize(&argc, &argv, (char*)0, help);if (ierr) return ierr;
ierr = PetscOptionsGetString(NULL, NULL, "-f", filename, sizeof(filename), &flg);CHKERRQ(ierr);
if (!flg) SETERRQ(PETSC_COMM_WORLD, 1, "Must indicate a filename for input with the -f option");
ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD, filename, FILE_MODE_READ, &viewer);CHKERRQ(ierr);
ierr = MatCreateDense(PETSC_COMM_WORLD, PETSC_DECIDE, PETSC_DECIDE, 36, 36, NULL, &A);CHKERRQ(ierr);
ierr = MatLoad(A, viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = PetscFinalize();
return ierr;
}
int main(int argc,char **args)
{
Mat C,A;
PetscInt i,j,m = 3,n = 2,rstart,rend;
PetscMPIInt size,rank;
PetscErrorCode ierr;
PetscScalar v;
IS isrow,iscol;
PetscBool flg;
char type[256];
PetscInitialize(&argc,&args,(char *)0,help);
ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
n = 2*size;
ierr = PetscStrcpy(type,MATSAME);CHKERRQ(ierr);
ierr = PetscOptionsGetString(PETSC_NULL,"-mat_type",type,256,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscStrcmp(type,MATMPIDENSE,&flg);CHKERRQ(ierr);
if (flg) {
ierr = MatCreateDense(PETSC_COMM_WORLD,PETSC_DECIDE,PETSC_DECIDE, m*n,m*n,PETSC_NULL,&C);CHKERRQ(ierr);
} else {
ierr = MatCreateAIJ(PETSC_COMM_WORLD,PETSC_DECIDE,PETSC_DECIDE, m*n,m*n,PETSC_DECIDE,PETSC_NULL,PETSC_DECIDE,PETSC_NULL,&C);CHKERRQ(ierr);
}
/*
This is JUST to generate a nice test matrix, all processors fill up
the entire matrix. This is not something one would ever do in practice.
*/
for (i=0; i<m*n; i++) {
for (j=0; j<m*n; j++) {
v = i + j + 1;
ierr = MatSetValues(C,1,&i,1,&j,&v,INSERT_VALUES);CHKERRQ(ierr);
}
}
ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = PetscViewerSetFormat(PETSC_VIEWER_STDOUT_WORLD,PETSC_VIEWER_ASCII_COMMON);CHKERRQ(ierr);
ierr = MatView(C,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
/*
Generate a new matrix consisting of every second row and column of
the original matrix
*/
ierr = MatGetOwnershipRange(C,&rstart,&rend);CHKERRQ(ierr);
/* Create parallel IS with the rows we want on THIS processor */
ierr = ISCreateStride(PETSC_COMM_WORLD,(rend-rstart)/2,rstart,2,&isrow);CHKERRQ(ierr);
/* Create parallel IS with the rows we want on THIS processor (same as rows for now) */
ierr = ISCreateStride(PETSC_COMM_WORLD,(rend-rstart)/2,rstart,2,&iscol);CHKERRQ(ierr);
ierr = MatGetSubMatrix(C,isrow,iscol,MAT_INITIAL_MATRIX,&A);CHKERRQ(ierr);
ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = MatGetSubMatrix(C,isrow,iscol,MAT_REUSE_MATRIX,&A);CHKERRQ(ierr);
ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = ISDestroy(&isrow);CHKERRQ(ierr);
ierr = ISDestroy(&iscol);CHKERRQ(ierr);
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = MatDestroy(&C);CHKERRQ(ierr);
ierr = PetscFinalize();
return 0;
}
int main(int argc,char **args)
{
Mat A;
PetscInt i,j,m = 3,n = 2,rstart,rend;
PetscErrorCode ierr;
PetscScalar v,*array;
PetscViewer view;
PetscInitialize(&argc,&args,(char*)0,help);
/*
Create a parallel dense matrix shared by all processors
*/
ierr = MatCreateDense(PETSC_COMM_WORLD,PETSC_DECIDE,PETSC_DECIDE,m,n,NULL,&A);CHKERRQ(ierr);
/*
Set values into the matrix
*/
for (i=0; i<m; i++) {
for (j=0; j<n; j++) {
v = 9.0/(i+j+1); ierr = MatSetValues(A,1,&i,1,&j,&v,INSERT_VALUES);CHKERRQ(ierr);
}
}
ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
/*
Print the matrix to the screen
*/
ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
/*
Print the local portion of the matrix to the screen
*/
ierr = MatDenseGetArray(A,&array);CHKERRQ(ierr);
ierr = MatGetOwnershipRange(A,&rstart,&rend);CHKERRQ(ierr);
for (i=rstart; i<rend; i++) {
for (j=0; j<n; j++) {
PetscSynchronizedPrintf(PETSC_COMM_WORLD,"%6.4e ",(double)PetscRealPart(array[j*(rend-rstart)+i-rstart]));
}
PetscSynchronizedPrintf(PETSC_COMM_WORLD,"\n");
}
PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);
ierr = MatDenseRestoreArray(A,&array);CHKERRQ(ierr);
/*
Store the binary matrix to a file
*/
ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD, "matrix.dat", FILE_MODE_WRITE, &view);CHKERRQ(ierr);
ierr = PetscViewerSetFormat(view,PETSC_VIEWER_NATIVE);CHKERRQ(ierr);
ierr = MatView(A,view);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&view);CHKERRQ(ierr);
ierr = MatDestroy(&A);CHKERRQ(ierr);
/*
Now reload the matrix and view it
*/
ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,"matrix.dat",FILE_MODE_READ,&view);CHKERRQ(ierr);
ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
ierr = MatSetType(A,MATMPIDENSE);CHKERRQ(ierr);
ierr = MatLoad(A,view);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&view);CHKERRQ(ierr);
ierr = MatView(A,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = PetscFinalize();
return 0;
}
int main(int argc,char **args)
{
User user;
Mat A,S;
PetscScalar *data,diag = 1.3;
PetscReal tol = PETSC_SMALL;
PetscInt i,j,m = PETSC_DECIDE,n = PETSC_DECIDE,M = 17,N = 15,s1,s2;
PetscInt test, ntest = 2;
PetscMPIInt rank,size;
PetscBool nc = PETSC_FALSE, cong;
PetscBool ronl = PETSC_TRUE;
PetscBool randomize = PETSC_FALSE;
PetscBool keep = PETSC_FALSE;
PetscBool testzerorows = PETSC_TRUE, testdiagscale = PETSC_TRUE, testgetdiag = PETSC_TRUE;
PetscBool testshift = PETSC_TRUE, testscale = PETSC_TRUE, testdup = PETSC_TRUE, testreset = PETSC_TRUE;
PetscErrorCode ierr;
ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr;
ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
ierr = PetscOptionsGetInt(NULL,NULL,"-M",&M,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetInt(NULL,NULL,"-N",&N,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetInt(NULL,NULL,"-ml",&m,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetInt(NULL,NULL,"-nl",&n,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-square_nc",&nc,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-rows_only",&ronl,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-randomize",&randomize,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-test_zerorows",&testzerorows,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-test_diagscale",&testdiagscale,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-test_getdiag",&testgetdiag,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-test_shift",&testshift,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-test_scale",&testscale,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-test_dup",&testdup,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-test_reset",&testreset,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetInt(NULL,NULL,"-loop",&ntest,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetReal(NULL,NULL,"-tol",&tol,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetScalar(NULL,NULL,"-diag",&diag,NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(NULL,NULL,"-keep",&keep,NULL);CHKERRQ(ierr);
/* This tests square matrices with different row/col layout */
if (nc && size > 1) {
M = PetscMax(PetscMax(N,M),1);
N = M;
m = n = 0;
if (rank == 0) { m = M-1; n = 1; }
else if (rank == 1) { m = 1; n = N-1; }
}
ierr = MatCreateDense(PETSC_COMM_WORLD,m,n,M,N,NULL,&A);CHKERRQ(ierr);
ierr = MatGetLocalSize(A,&m,&n);CHKERRQ(ierr);
ierr = MatGetSize(A,&M,&N);CHKERRQ(ierr);
ierr = MatHasCongruentLayouts(A,&cong);CHKERRQ(ierr);
ierr = MatGetOwnershipRange(A,&s1,NULL);CHKERRQ(ierr);
s2 = 1;
while (s2 < M) s2 *= 10;
ierr = MatDenseGetArray(A,&data);CHKERRQ(ierr);
for (j = 0; j < N; j++) {
for (i = 0; i < m; i++) {
data[j*m + i] = s2*j + i + s1 + 1;
}
}
ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatConvert(A,MATAIJ,MAT_INPLACE_MATRIX,&A);CHKERRQ(ierr);
ierr = MatSetOption(A,MAT_KEEP_NONZERO_PATTERN,keep);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject)A,"initial");CHKERRQ(ierr);
ierr = MatViewFromOptions(A,NULL,"-view_mat");CHKERRQ(ierr);
ierr = PetscNew(&user);CHKERRQ(ierr);
ierr = MatCreateShell(PETSC_COMM_WORLD,m,n,M,N,user,&S);CHKERRQ(ierr);
ierr = MatShellSetOperation(S,MATOP_MULT,(void (*)(void))MatMult_User);CHKERRQ(ierr);
ierr = MatShellSetOperation(S,MATOP_MULT_TRANSPOSE,(void (*)(void))MatMultTranspose_User);CHKERRQ(ierr);
if (cong) {
ierr = MatShellSetOperation(S,MATOP_GET_DIAGONAL,(void (*)(void))MatGetDiagonal_User);CHKERRQ(ierr);
}
ierr = MatDuplicate(A,MAT_COPY_VALUES,&user->B);CHKERRQ(ierr);
/* Square and rows only scaling */
ronl = cong ? ronl : PETSC_TRUE;
for (test = 0; test < ntest; test++) {
PetscReal err;
if (testzerorows) {
Mat ST,B,C,BT,BTT;
IS zr;
Vec x = NULL, b1 = NULL, b2 = NULL;
PetscInt *idxs = NULL, nr = 0;
if (rank == (test%size)) {
nr = 1;
ierr = PetscMalloc1(nr,&idxs);CHKERRQ(ierr);
if (test%2) {
idxs[0] = (2*M - 1 - test/2)%M;
} else {
idxs[0] = (test/2)%M;
}
idxs[0] = PetscMax(idxs[0],0);
}
ierr = ISCreateGeneral(PETSC_COMM_WORLD,nr,idxs,PETSC_OWN_POINTER,&zr);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject)zr,"ZR");CHKERRQ(ierr);
ierr = ISViewFromOptions(zr,NULL,"-view_is");CHKERRQ(ierr);
ierr = MatCreateVecs(A,&x,&b1);CHKERRQ(ierr);
if (randomize) {
ierr = VecSetRandom(x,NULL);CHKERRQ(ierr);
ierr = VecSetRandom(b1,NULL);CHKERRQ(ierr);
} else {
ierr = VecSet(x,11.4);CHKERRQ(ierr);
ierr = VecSet(b1,-14.2);CHKERRQ(ierr);
}
ierr = VecDuplicate(b1,&b2);CHKERRQ(ierr);
ierr = VecCopy(b1,b2);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject)b1,"A_B1");CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject)b2,"A_B2");CHKERRQ(ierr);
if (size > 1 && !cong) { /* MATMPIAIJ ZeroRows and ZeroRowsColumns are buggy in this case */
ierr = VecDestroy(&b1);CHKERRQ(ierr);
}
if (ronl) {
ierr = MatZeroRowsIS(A,zr,diag,x,b1);CHKERRQ(ierr);
ierr = MatZeroRowsIS(S,zr,diag,x,b2);CHKERRQ(ierr);
} else {
ierr = MatZeroRowsColumnsIS(A,zr,diag,x,b1);CHKERRQ(ierr);
ierr = MatZeroRowsColumnsIS(S,zr,diag,x,b2);CHKERRQ(ierr);
ierr = ISDestroy(&zr);CHKERRQ(ierr);
/* Mix zerorows and zerorowscols */
nr = 0;
idxs = NULL;
if (!rank) {
nr = 1;
ierr = PetscMalloc1(nr,&idxs);CHKERRQ(ierr);
if (test%2) {
idxs[0] = (3*M - 2 - test/2)%M;
} else {
idxs[0] = (test/2+1)%M;
}
idxs[0] = PetscMax(idxs[0],0);
}
ierr = ISCreateGeneral(PETSC_COMM_WORLD,nr,idxs,PETSC_OWN_POINTER,&zr);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject)zr,"ZR2");CHKERRQ(ierr);
ierr = ISViewFromOptions(zr,NULL,"-view_is");CHKERRQ(ierr);
ierr = MatZeroRowsIS(A,zr,diag*2.0+PETSC_SMALL,NULL,NULL);CHKERRQ(ierr);
ierr = MatZeroRowsIS(S,zr,diag*2.0+PETSC_SMALL,NULL,NULL);CHKERRQ(ierr);
}
ierr = ISDestroy(&zr);CHKERRQ(ierr);
if (b1) {
Vec b;
ierr = VecViewFromOptions(b1,NULL,"-view_b");CHKERRQ(ierr);
ierr = VecViewFromOptions(b2,NULL,"-view_b");CHKERRQ(ierr);
ierr = VecDuplicate(b1,&b);CHKERRQ(ierr);
ierr = VecCopy(b1,b);CHKERRQ(ierr);
ierr = VecAXPY(b,-1.0,b2);CHKERRQ(ierr);
ierr = VecNorm(b,NORM_INFINITY,&err);CHKERRQ(ierr);
if (err >= tol) {
ierr = PetscPrintf(PETSC_COMM_WORLD,"[test %D] Error b %g\n",test,(double)err);CHKERRQ(ierr);
}
ierr = VecDestroy(&b);CHKERRQ(ierr);
}
ierr = VecDestroy(&b1);CHKERRQ(ierr);
ierr = VecDestroy(&b2);CHKERRQ(ierr);
ierr = VecDestroy(&x);CHKERRQ(ierr);
ierr = MatConvert(S,MATDENSE,MAT_INITIAL_MATRIX,&B);CHKERRQ(ierr);
ierr = MatCreateTranspose(S,&ST);CHKERRQ(ierr);
ierr = MatComputeOperator(ST,MATDENSE,&BT);CHKERRQ(ierr);
ierr = MatTranspose(BT,MAT_INITIAL_MATRIX,&BTT);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject)B,"S");CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject)BTT,"STT");CHKERRQ(ierr);
ierr = MatConvert(A,MATDENSE,MAT_INITIAL_MATRIX,&C);CHKERRQ(ierr);
ierr = PetscObjectSetName((PetscObject)C,"A");CHKERRQ(ierr);
ierr = MatViewFromOptions(C,NULL,"-view_mat");CHKERRQ(ierr);
ierr = MatViewFromOptions(B,NULL,"-view_mat");CHKERRQ(ierr);
ierr = MatViewFromOptions(BTT,NULL,"-view_mat");CHKERRQ(ierr);
ierr = MatAXPY(C,-1.0,B,SAME_NONZERO_PATTERN);CHKERRQ(ierr);
ierr = MatNorm(C,NORM_FROBENIUS,&err);CHKERRQ(ierr);
if (err >= tol) {
ierr = PetscPrintf(PETSC_COMM_WORLD,"[test %D] Error mat mult %g\n",test,(double)err);CHKERRQ(ierr);
}
ierr = MatConvert(A,MATDENSE,MAT_REUSE_MATRIX,&C);CHKERRQ(ierr);
ierr = MatAXPY(C,-1.0,BTT,SAME_NONZERO_PATTERN);CHKERRQ(ierr);
ierr = MatNorm(C,NORM_FROBENIUS,&err);CHKERRQ(ierr);
if (err >= tol) {
ierr = PetscPrintf(PETSC_COMM_WORLD,"[test %D] Error mat mult transpose %g\n",test,(double)err);CHKERRQ(ierr);
}
ierr = MatDestroy(&ST);CHKERRQ(ierr);
ierr = MatDestroy(&BTT);CHKERRQ(ierr);
ierr = MatDestroy(&BT);CHKERRQ(ierr);
ierr = MatDestroy(&B);CHKERRQ(ierr);
ierr = MatDestroy(&C);CHKERRQ(ierr);
}
if (testdiagscale) { /* MatDiagonalScale() */
Vec vr,vl;
ierr = MatCreateVecs(A,&vr,&vl);CHKERRQ(ierr);
if (randomize) {
ierr = VecSetRandom(vr,NULL);CHKERRQ(ierr);
ierr = VecSetRandom(vl,NULL);CHKERRQ(ierr);
} else {
ierr = VecSet(vr,test%2 ? 0.15 : 1.0/0.15);CHKERRQ(ierr);
ierr = VecSet(vl,test%2 ? -1.2 : 1.0/-1.2);CHKERRQ(ierr);
}
ierr = MatDiagonalScale(A,vl,vr);CHKERRQ(ierr);
ierr = MatDiagonalScale(S,vl,vr);CHKERRQ(ierr);
ierr = VecDestroy(&vr);CHKERRQ(ierr);
ierr = VecDestroy(&vl);CHKERRQ(ierr);
}
if (testscale) { /* MatScale() */
ierr = MatScale(A,test%2 ? 1.4 : 1.0/1.4);CHKERRQ(ierr);
ierr = MatScale(S,test%2 ? 1.4 : 1.0/1.4);CHKERRQ(ierr);
}
if (testshift && cong) { /* MatShift() : MATSHELL shift is broken when row/cols layout are not congruent and left/right scaling have been applied */
ierr = MatShift(A,test%2 ? -77.5 : 77.5);CHKERRQ(ierr);
ierr = MatShift(S,test%2 ? -77.5 : 77.5);CHKERRQ(ierr);
}
if (testgetdiag && cong) { /* MatGetDiagonal() */
Vec dA,dS;
ierr = MatCreateVecs(A,&dA,NULL);CHKERRQ(ierr);
ierr = MatCreateVecs(S,&dS,NULL);CHKERRQ(ierr);
ierr = MatGetDiagonal(A,dA);CHKERRQ(ierr);
ierr = MatGetDiagonal(S,dS);CHKERRQ(ierr);
ierr = VecAXPY(dA,-1.0,dS);CHKERRQ(ierr);
ierr = VecNorm(dA,NORM_INFINITY,&err);CHKERRQ(ierr);
if (err >= tol) {
ierr = PetscPrintf(PETSC_COMM_WORLD,"[test %D] Error diag %g\n",test,(double)err);CHKERRQ(ierr);
}
ierr = VecDestroy(&dA);CHKERRQ(ierr);
ierr = VecDestroy(&dS);CHKERRQ(ierr);
}
if (testdup && !test) {
Mat A2, S2;
ierr = MatDuplicate(A,MAT_COPY_VALUES,&A2);CHKERRQ(ierr);
ierr = MatDuplicate(S,MAT_COPY_VALUES,&S2);CHKERRQ(ierr);
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = MatDestroy(&S);CHKERRQ(ierr);
A = A2;
S = S2;
}
if (testreset && (ntest == 1 || test == ntest-2)) {
/* reset MATSHELL */
ierr = MatAssemblyBegin(S,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatAssemblyEnd(S,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
/* reset A */
ierr = MatCopy(user->B,A,DIFFERENT_NONZERO_PATTERN);CHKERRQ(ierr);
}
}
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = MatDestroy(&user->B);CHKERRQ(ierr);
ierr = MatDestroy(&S);CHKERRQ(ierr);
ierr = PetscFree(user);CHKERRQ(ierr);
ierr = PetscFinalize();
return ierr;
}
PETSC_EXTERN void PETSC_STDCALL matcreatedense_(MPI_Comm *comm,PetscInt *m,PetscInt *n,PetscInt *M,PetscInt *N,PetscScalar *data,Mat *newmat,PetscErrorCode *ierr)
{
CHKFORTRANNULLSCALAR(data);
*ierr = MatCreateDense(MPI_Comm_f2c(*(MPI_Fint*)&*comm),*m,*n,*M,*N,data,newmat);
}
static void PETScMatvecGenColumnMajor(void *x, PRIMME_INT ldx, void *y, PRIMME_INT ldy,
int blockSize, int trans, Mat matrix, MPI_Comm comm) {
PetscInt m, n, mLocal, nLocal;
PetscErrorCode ierr;
Mat X, Y, X0, Y0;
int xcompact, ycompact;
if (blockSize == 1) {
PETScMatvecGenNoBlock(x, ldx, y, ldy, blockSize, trans, matrix, comm);
return;
}
assert(sizeof(PetscScalar) == sizeof(SCALAR));
ierr = MatGetSize(matrix, &m, &n); CHKERRABORT(comm, ierr);
ierr = MatGetLocalSize(matrix, &mLocal, &nLocal); CHKERRABORT(comm, ierr);
if (trans == 0) {
ierr = MatCreateDense(comm,nLocal,PETSC_DECIDE,n,blockSize,x,&X);CHKERRABORT(comm, ierr);
ierr = MatCreateDense(comm,mLocal,PETSC_DECIDE,m,blockSize,y,&Y);CHKERRABORT(comm, ierr);
xcompact = nLocal == ldx;
ycompact = mLocal == ldy;
}
else {
ierr = MatCreateDense(comm,mLocal,PETSC_DECIDE,m,blockSize,x,&X);CHKERRABORT(comm, ierr);
ierr = MatCreateDense(comm,nLocal,PETSC_DECIDE,n,blockSize,y,&Y);CHKERRABORT(comm, ierr);
xcompact = mLocal == ldx;
ycompact = nLocal == ldy;
}
ierr = MatDenseGetLocalMatrix(X, &X0);CHKERRABORT(comm, ierr);
ierr = MatSeqDenseSetLDA(X0, (PetscInt)ldx);CHKERRABORT(comm, ierr);
ierr = MatDenseGetLocalMatrix(Y, &Y0);CHKERRABORT(comm, ierr);
ierr = MatSeqDenseSetLDA(Y0, (PetscInt)ldy);CHKERRABORT(comm, ierr);
/* MatMatMult doesn't support X to be non-contiguous */
if (xcompact) {
X0 = X;
}
else {
ierr = MatDuplicate(X, MAT_COPY_VALUES, &X0);CHKERRABORT(comm, ierr);
}
if (trans == 0) {
if (ycompact) {
ierr = MatMatMult(matrix, X0, MAT_REUSE_MATRIX, PETSC_DEFAULT, &Y); CHKERRABORT(comm, ierr);
}
else {
ierr = MatMatMult(matrix, X0, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &Y0); CHKERRABORT(comm, ierr);
ierr = MatCopy(Y0, Y, SAME_NONZERO_PATTERN); CHKERRABORT(comm, ierr);
ierr = MatDestroy(&Y0); CHKERRABORT(comm, ierr);
}
}
else {
/* A^H*X is not implemented in PETSc, do instead (A^T*X^c)^c */
ierr = MatConjugate(X0); CHKERRABORT(comm, ierr);
if (ycompact) {
ierr = MatTransposeMatMult(matrix, X0, MAT_REUSE_MATRIX, PETSC_DEFAULT, &Y); CHKERRABORT(comm, ierr);
}
else {
ierr = MatTransposeMatMult(matrix, X0, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &Y0); CHKERRABORT(comm, ierr);
ierr = MatCopy(Y0, Y, SAME_NONZERO_PATTERN); CHKERRABORT(comm, ierr);
ierr = MatDestroy(&Y0); CHKERRABORT(comm, ierr);
}
ierr = MatConjugate(Y); CHKERRABORT(comm, ierr);
if (xcompact) {
ierr = MatConjugate(X0); CHKERRABORT(comm, ierr);
}
}
if (!xcompact) {
ierr = MatDestroy(&X0);CHKERRABORT(comm, ierr);
}
ierr = MatDestroy(&X);CHKERRABORT(comm, ierr);
ierr = MatDestroy(&Y);CHKERRABORT(comm, ierr);
}
int main(int argc,char **argv)
{
TS ts,quadts; /* ODE integrator */
Vec U; /* solution will be stored here */
Mat A; /* Jacobian matrix */
Mat Jacp; /* Jacobian matrix */
Mat DRDU,DRDP;
PetscErrorCode ierr;
PetscMPIInt size;
PetscInt n = 2;
AppCtx ctx;
PetscScalar *u;
PetscReal du[2] = {0.0,0.0};
PetscBool ensemble = PETSC_FALSE,flg1,flg2;
PetscReal ftime;
PetscInt steps;
PetscScalar *x_ptr,*y_ptr;
Vec lambda[1],q,mu[1];
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Initialize program
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
if (size > 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP,"Only for sequential runs");
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create necessary matrix and vectors
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
ierr = MatSetSizes(A,n,n,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr);
ierr = MatSetType(A,MATDENSE);CHKERRQ(ierr);
ierr = MatSetFromOptions(A);CHKERRQ(ierr);
ierr = MatSetUp(A);CHKERRQ(ierr);
ierr = MatCreateVecs(A,&U,NULL);CHKERRQ(ierr);
ierr = MatCreate(PETSC_COMM_WORLD,&Jacp);CHKERRQ(ierr);
ierr = MatSetSizes(Jacp,PETSC_DECIDE,PETSC_DECIDE,2,1);CHKERRQ(ierr);
ierr = MatSetFromOptions(Jacp);CHKERRQ(ierr);
ierr = MatSetUp(Jacp);CHKERRQ(ierr);
ierr = MatCreateDense(PETSC_COMM_WORLD,PETSC_DECIDE,PETSC_DECIDE,1,1,NULL,&DRDP);CHKERRQ(ierr);
ierr = MatSetUp(DRDP);CHKERRQ(ierr);
ierr = MatCreateDense(PETSC_COMM_WORLD,PETSC_DECIDE,PETSC_DECIDE,1,1,NULL,&DRDU);CHKERRQ(ierr);
ierr = MatSetUp(DRDU);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set runtime options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Swing equation options","");CHKERRQ(ierr);
{
ctx.beta = 2;
ctx.c = 10000.0;
ctx.u_s = 1.0;
ctx.omega_s = 1.0;
ctx.omega_b = 120.0*PETSC_PI;
ctx.H = 5.0;
ierr = PetscOptionsScalar("-Inertia","","",ctx.H,&ctx.H,NULL);CHKERRQ(ierr);
ctx.D = 5.0;
ierr = PetscOptionsScalar("-D","","",ctx.D,&ctx.D,NULL);CHKERRQ(ierr);
ctx.E = 1.1378;
ctx.V = 1.0;
ctx.X = 0.545;
ctx.Pmax = ctx.E*ctx.V/ctx.X;;
ierr = PetscOptionsScalar("-Pmax","","",ctx.Pmax,&ctx.Pmax,NULL);CHKERRQ(ierr);
ctx.Pm = 1.1;
ierr = PetscOptionsScalar("-Pm","","",ctx.Pm,&ctx.Pm,NULL);CHKERRQ(ierr);
ctx.tf = 0.1;
ctx.tcl = 0.2;
ierr = PetscOptionsReal("-tf","Time to start fault","",ctx.tf,&ctx.tf,NULL);CHKERRQ(ierr);
ierr = PetscOptionsReal("-tcl","Time to end fault","",ctx.tcl,&ctx.tcl,NULL);CHKERRQ(ierr);
ierr = PetscOptionsBool("-ensemble","Run ensemble of different initial conditions","",ensemble,&ensemble,NULL);CHKERRQ(ierr);
if (ensemble) {
ctx.tf = -1;
ctx.tcl = -1;
}
ierr = VecGetArray(U,&u);CHKERRQ(ierr);
u[0] = PetscAsinScalar(ctx.Pm/ctx.Pmax);
u[1] = 1.0;
ierr = PetscOptionsRealArray("-u","Initial solution","",u,&n,&flg1);CHKERRQ(ierr);
n = 2;
ierr = PetscOptionsRealArray("-du","Perturbation in initial solution","",du,&n,&flg2);CHKERRQ(ierr);
u[0] += du[0];
u[1] += du[1];
ierr = VecRestoreArray(U,&u);CHKERRQ(ierr);
if (flg1 || flg2) {
ctx.tf = -1;
ctx.tcl = -1;
}
}
ierr = PetscOptionsEnd();CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Create timestepping solver context
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSCreate(PETSC_COMM_WORLD,&ts);CHKERRQ(ierr);
ierr = TSSetProblemType(ts,TS_NONLINEAR);CHKERRQ(ierr);
ierr = TSSetType(ts,TSRK);CHKERRQ(ierr);
ierr = TSSetRHSFunction(ts,NULL,(TSRHSFunction)RHSFunction,&ctx);CHKERRQ(ierr);
ierr = TSSetRHSJacobian(ts,A,A,(TSRHSJacobian)RHSJacobian,&ctx);CHKERRQ(ierr);
ierr = TSCreateQuadratureTS(ts,PETSC_TRUE,&quadts);CHKERRQ(ierr);
ierr = TSSetRHSFunction(quadts,NULL,(TSRHSFunction)CostIntegrand,&ctx);CHKERRQ(ierr);
ierr = TSSetRHSJacobian(quadts,DRDU,DRDU,(TSRHSJacobian)DRDUJacobianTranspose,&ctx);CHKERRQ(ierr);
ierr = TSSetRHSJacobianP(quadts,DRDP,(TSRHSJacobianP)DRDPJacobianTranspose,&ctx);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set initial conditions
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetSolution(ts,U);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Save trajectory of solution so that TSAdjointSolve() may be used
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetSaveTrajectory(ts);CHKERRQ(ierr);
ierr = MatCreateVecs(A,&lambda[0],NULL);CHKERRQ(ierr);
/* Set initial conditions for the adjoint integration */
ierr = VecGetArray(lambda[0],&y_ptr);CHKERRQ(ierr);
y_ptr[0] = 0.0; y_ptr[1] = 0.0;
ierr = VecRestoreArray(lambda[0],&y_ptr);CHKERRQ(ierr);
ierr = MatCreateVecs(Jacp,&mu[0],NULL);CHKERRQ(ierr);
ierr = VecGetArray(mu[0],&x_ptr);CHKERRQ(ierr);
x_ptr[0] = -1.0;
ierr = VecRestoreArray(mu[0],&x_ptr);CHKERRQ(ierr);
ierr = TSSetCostGradients(ts,1,lambda,mu);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Set solver options
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = TSSetMaxTime(ts,10.0);CHKERRQ(ierr);
ierr = TSSetExactFinalTime(ts,TS_EXACTFINALTIME_MATCHSTEP);CHKERRQ(ierr);
ierr = TSSetTimeStep(ts,.01);CHKERRQ(ierr);
ierr = TSSetFromOptions(ts);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Solve nonlinear system
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
if (ensemble) {
for (du[1] = -2.5; du[1] <= .01; du[1] += .1) {
ierr = VecGetArray(U,&u);CHKERRQ(ierr);
u[0] = PetscAsinScalar(ctx.Pm/ctx.Pmax);
u[1] = ctx.omega_s;
u[0] += du[0];
u[1] += du[1];
ierr = VecRestoreArray(U,&u);CHKERRQ(ierr);
ierr = TSSetTimeStep(ts,.01);CHKERRQ(ierr);
ierr = TSSolve(ts,U);CHKERRQ(ierr);
}
} else {
ierr = TSSolve(ts,U);CHKERRQ(ierr);
}
ierr = VecView(U,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = TSGetSolveTime(ts,&ftime);CHKERRQ(ierr);
ierr = TSGetStepNumber(ts,&steps);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Adjoint model starts here
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
/* Set initial conditions for the adjoint integration */
ierr = VecGetArray(lambda[0],&y_ptr);CHKERRQ(ierr);
y_ptr[0] = 0.0; y_ptr[1] = 0.0;
ierr = VecRestoreArray(lambda[0],&y_ptr);CHKERRQ(ierr);
ierr = VecGetArray(mu[0],&x_ptr);CHKERRQ(ierr);
x_ptr[0] = -1.0;
ierr = VecRestoreArray(mu[0],&x_ptr);CHKERRQ(ierr);
/* Set RHS JacobianP */
ierr = TSSetRHSJacobianP(ts,Jacp,RHSJacobianP,&ctx);CHKERRQ(ierr);
ierr = TSAdjointSolve(ts);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"\n sensitivity wrt initial conditions: d[Psi(tf)]/d[phi0] d[Psi(tf)]/d[omega0]\n");CHKERRQ(ierr);
ierr = VecView(lambda[0],PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = VecView(mu[0],PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = TSGetCostIntegral(ts,&q);CHKERRQ(ierr);
ierr = VecView(q,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = VecGetArray(q,&x_ptr);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"\n cost function=%g\n",(double)(x_ptr[0]-ctx.Pm));CHKERRQ(ierr);
ierr = VecRestoreArray(q,&x_ptr);CHKERRQ(ierr);
ierr = ComputeSensiP(lambda[0],mu[0],&ctx);CHKERRQ(ierr);
/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Free work space. All PETSc objects should be destroyed when they are no longer needed.
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
ierr = MatDestroy(&A);CHKERRQ(ierr);
ierr = MatDestroy(&Jacp);CHKERRQ(ierr);
ierr = MatDestroy(&DRDU);CHKERRQ(ierr);
ierr = MatDestroy(&DRDP);CHKERRQ(ierr);
ierr = VecDestroy(&U);CHKERRQ(ierr);
ierr = VecDestroy(&lambda[0]);CHKERRQ(ierr);
ierr = VecDestroy(&mu[0]);CHKERRQ(ierr);
ierr = TSDestroy(&ts);CHKERRQ(ierr);
ierr = PetscFinalize();
return ierr;
}