/* Routines to project vectors out of null spaces. */ #include /*I "petscmat.h" I*/ PetscClassId MAT_NULLSPACE_CLASSID; /*@C MatNullSpaceSetFunction - set a function that removes a null space from a vector out of null spaces. Logically Collective on MatNullSpace Input Parameters: + sp - the null space object . rem - the function that removes the null space - ctx - context for the remove function Level: advanced .keywords: PC, null space, create .seealso: MatNullSpaceDestroy(), MatNullSpaceRemove(), MatSetNullSpace(), MatNullSpace, MatNullSpaceCreate() @*/ PetscErrorCode MatNullSpaceSetFunction(MatNullSpace sp, PetscErrorCode (*rem)(MatNullSpace,Vec,void*),void *ctx) { PetscFunctionBegin; PetscValidHeaderSpecific(sp,MAT_NULLSPACE_CLASSID,1); sp->remove = rem; sp->rmctx = ctx; PetscFunctionReturn(0); } /*@C MatNullSpaceGetVecs - get vectors defining the null space Not Collective Input Arguments: . sp - null space object Output Arguments: + has_cnst - PETSC_TRUE if the null space contains the constant vector, otherwise PETSC_FALSE . n - number of vectors (excluding constant vector) in null space - vecs - orthonormal vectors that span the null space (excluding the constant vector) Level: developer Notes: These vectors and the array are owned by the MatNullSpace and should not be destroyed or freeded by the caller .seealso: MatNullSpaceCreate(), MatGetNullSpace(), MatGetNearNullSpace() @*/ PetscErrorCode MatNullSpaceGetVecs(MatNullSpace sp,PetscBool *has_const,PetscInt *n,const Vec **vecs) { PetscFunctionBegin; PetscValidHeaderSpecific(sp,MAT_NULLSPACE_CLASSID,1); if (has_const) *has_const = sp->has_cnst; if (n) *n = sp->n; if (vecs) *vecs = sp->vecs; PetscFunctionReturn(0); } /*@ MatNullSpaceCreateRigidBody - create rigid body modes from coordinates Collective on Vec Input Argument: . coords - block of coordinates of each node, must have block size set Output Argument: . sp - the null space Level: advanced Notes: If you are solving an elasticity problems you should likely use this, in conjunction with ee MatSetNearNullspace(), to provide information that the PCGAMG preconditioner can use to construct a much more efficient preconditioner. If you are solving an elasticity problem with pure Neumann boundary conditions you can use this in conjunction with MatSetNullspace() to provide this information to the linear solver so it can handle the null space appropriately in the linear solution. .seealso: MatNullSpaceCreate(), MatSetNearNullspace(), MatSetNullspace() @*/ PetscErrorCode MatNullSpaceCreateRigidBody(Vec coords,MatNullSpace *sp) { PetscErrorCode ierr; const PetscScalar *x; PetscScalar *v[6],dots[5]; Vec vec[6]; PetscInt n,N,dim,nmodes,i,j; PetscReal sN; PetscFunctionBegin; ierr = VecGetBlockSize(coords,&dim);CHKERRQ(ierr); ierr = VecGetLocalSize(coords,&n);CHKERRQ(ierr); ierr = VecGetSize(coords,&N);CHKERRQ(ierr); n /= dim; N /= dim; sN = 1./PetscSqrtReal((PetscReal)N); switch (dim) { case 1: ierr = MatNullSpaceCreate(PetscObjectComm((PetscObject)coords),PETSC_TRUE,0,NULL,sp);CHKERRQ(ierr); break; case 2: case 3: nmodes = (dim == 2) ? 3 : 6; ierr = VecCreate(PetscObjectComm((PetscObject)coords),&vec[0]);CHKERRQ(ierr); ierr = VecSetSizes(vec[0],dim*n,dim*N);CHKERRQ(ierr); ierr = VecSetBlockSize(vec[0],dim);CHKERRQ(ierr); ierr = VecSetUp(vec[0]);CHKERRQ(ierr); for (i=1; in,sp->n==1 ? "" : "s",sp->has_cnst ? " and the constant" : "");CHKERRQ(ierr); if (sp->remove) {ierr = PetscViewerASCIIPrintf(viewer,"Has user-provided removal function\n");CHKERRQ(ierr);} if (!(format == PETSC_VIEWER_ASCII_INFO || format == PETSC_VIEWER_ASCII_INFO_DETAIL)) { for (i=0; in; i++) { ierr = VecView(sp->vecs[i],viewer);CHKERRQ(ierr); } } ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); } PetscFunctionReturn(0); } /*@C MatNullSpaceCreate - Creates a data structure used to project vectors out of null spaces. Collective on MPI_Comm Input Parameters: + comm - the MPI communicator associated with the object . has_cnst - PETSC_TRUE if the null space contains the constant vector; otherwise PETSC_FALSE . n - number of vectors (excluding constant vector) in null space - vecs - the vectors that span the null space (excluding the constant vector); these vectors must be orthonormal. These vectors are NOT copied, so do not change them after this call. You should free the array that you pass in and destroy the vectors (this will reduce the reference count for them by one). Output Parameter: . SP - the null space context Level: advanced Notes: See MatNullSpaceSetFunction() as an alternative way of providing the null space information instead of setting vecs. If has_cnst is PETSC_TRUE you do not need to pass a constant vector in as a fourth argument to this routine, nor do you need to pass in a function that eliminates the constant function into MatNullSpaceSetFunction(). Users manual sections: . sec_singular .keywords: PC, null space, create .seealso: MatNullSpaceDestroy(), MatNullSpaceRemove(), MatSetNullSpace(), MatNullSpace, MatNullSpaceSetFunction() @*/ PetscErrorCode MatNullSpaceCreate(MPI_Comm comm,PetscBool has_cnst,PetscInt n,const Vec vecs[],MatNullSpace *SP) { MatNullSpace sp; PetscErrorCode ierr; PetscInt i; PetscFunctionBegin; if (n < 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Number of vectors (given %D) cannot be negative",n); if (n) PetscValidPointer(vecs,4); for (i=0; i PETSC_SQRT_MACHINE_EPSILON) SETERRQ2(PetscObjectComm((PetscObject)vecs[i]),PETSC_ERR_ARG_WRONG,"Vector %D must have 2-norm of 1.0, it is %g",i,(double)norm); } if (has_cnst) { for (i=0; i PETSC_SQRT_MACHINE_EPSILON) SETERRQ2(PetscObjectComm((PetscObject)vecs[i]),PETSC_ERR_ARG_WRONG,"Vector %D must be orthogonal to constant vector, inner product is %g",i,(double)PetscAbsScalar(sum)); } } ierr = PetscMalloc1(n-1,&dots);CHKERRQ(ierr); for (i=0; i PETSC_SQRT_MACHINE_EPSILON) SETERRQ3(PetscObjectComm((PetscObject)vecs[i]),PETSC_ERR_ARG_WRONG,"Vector %D must be orthogonal to vector %D, inner product is %g",i,i+j+1,(double)PetscAbsScalar(dots[j])); } } PetscFree(dots);CHKERRQ(ierr); } #endif *SP = NULL; ierr = MatInitializePackage();CHKERRQ(ierr); ierr = PetscHeaderCreate(sp,MAT_NULLSPACE_CLASSID,"MatNullSpace","Null space","Mat",comm,MatNullSpaceDestroy,MatNullSpaceView);CHKERRQ(ierr); sp->has_cnst = has_cnst; sp->n = n; sp->vecs = 0; sp->alpha = 0; sp->remove = 0; sp->rmctx = 0; if (n) { ierr = PetscMalloc1(n,&sp->vecs);CHKERRQ(ierr); ierr = PetscMalloc1(n,&sp->alpha);CHKERRQ(ierr); ierr = PetscLogObjectMemory((PetscObject)sp,n*(sizeof(Vec)+sizeof(PetscScalar)));CHKERRQ(ierr); for (i=0; ivecs[i] = vecs[i]; } } *SP = sp; PetscFunctionReturn(0); } /*@ MatNullSpaceDestroy - Destroys a data structure used to project vectors out of null spaces. Collective on MatNullSpace Input Parameter: . sp - the null space context to be destroyed Level: advanced .keywords: PC, null space, destroy .seealso: MatNullSpaceCreate(), MatNullSpaceRemove(), MatNullSpaceSetFunction() @*/ PetscErrorCode MatNullSpaceDestroy(MatNullSpace *sp) { PetscErrorCode ierr; PetscInt i; PetscFunctionBegin; if (!*sp) PetscFunctionReturn(0); PetscValidHeaderSpecific((*sp),MAT_NULLSPACE_CLASSID,1); if (--((PetscObject)(*sp))->refct > 0) {*sp = 0; PetscFunctionReturn(0);} for (i=0; i < (*sp)->n; i++) { ierr = VecLockPop((*sp)->vecs[i]);CHKERRQ(ierr); } ierr = VecDestroyVecs((*sp)->n,&(*sp)->vecs);CHKERRQ(ierr); ierr = PetscFree((*sp)->alpha);CHKERRQ(ierr); ierr = PetscHeaderDestroy(sp);CHKERRQ(ierr); PetscFunctionReturn(0); } /*@C MatNullSpaceRemove - Removes all the components of a null space from a vector. Collective on MatNullSpace Input Parameters: + sp - the null space context (if this is NULL then no null space is removed) - vec - the vector from which the null space is to be removed Level: advanced .keywords: PC, null space, remove .seealso: MatNullSpaceCreate(), MatNullSpaceDestroy(), MatNullSpaceSetFunction() @*/ PetscErrorCode MatNullSpaceRemove(MatNullSpace sp,Vec vec) { PetscScalar sum; PetscInt i,N; PetscErrorCode ierr; PetscFunctionBegin; if (!sp) PetscFunctionReturn(0); PetscValidHeaderSpecific(sp,MAT_NULLSPACE_CLASSID,1); PetscValidHeaderSpecific(vec,VEC_CLASSID,2); if (sp->has_cnst) { ierr = VecGetSize(vec,&N);CHKERRQ(ierr); if (N > 0) { ierr = VecSum(vec,&sum);CHKERRQ(ierr); sum = sum/((PetscScalar)(-1.0*N)); ierr = VecShift(vec,sum);CHKERRQ(ierr); } } if (sp->n) { ierr = VecMDot(vec,sp->n,sp->vecs,sp->alpha);CHKERRQ(ierr); for (i=0; in; i++) sp->alpha[i] = -sp->alpha[i]; ierr = VecMAXPY(vec,sp->n,sp->alpha,sp->vecs);CHKERRQ(ierr); } if (sp->remove) { ierr = (*sp->remove)(sp,vec,sp->rmctx);CHKERRQ(ierr); } PetscFunctionReturn(0); } /*@ MatNullSpaceTest - Tests if the claimed null space is really a null space of a matrix Collective on MatNullSpace Input Parameters: + sp - the null space context - mat - the matrix Output Parameters: . isNull - PETSC_TRUE if the nullspace is valid for this matrix Level: advanced .keywords: PC, null space, remove .seealso: MatNullSpaceCreate(), MatNullSpaceDestroy(), MatNullSpaceSetFunction() @*/ PetscErrorCode MatNullSpaceTest(MatNullSpace sp,Mat mat,PetscBool *isNull) { PetscScalar sum; PetscReal nrm,tol = 10. * PETSC_SQRT_MACHINE_EPSILON; PetscInt j,n,N; PetscErrorCode ierr; Vec l,r; PetscBool flg1 = PETSC_FALSE,flg2 = PETSC_FALSE,consistent = PETSC_TRUE; PetscViewer viewer; PetscFunctionBegin; PetscValidHeaderSpecific(sp,MAT_NULLSPACE_CLASSID,1); PetscValidHeaderSpecific(mat,MAT_CLASSID,2); n = sp->n; ierr = PetscOptionsGetBool(((PetscObject)sp)->options,((PetscObject)mat)->prefix,"-mat_null_space_test_view",&flg1,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(((PetscObject)sp)->options,((PetscObject)mat)->prefix,"-mat_null_space_test_view_draw",&flg2,NULL);CHKERRQ(ierr); if (n) { ierr = VecDuplicate(sp->vecs[0],&l);CHKERRQ(ierr); } else { ierr = MatCreateVecs(mat,&l,NULL);CHKERRQ(ierr); } ierr = PetscViewerASCIIGetStdout(PetscObjectComm((PetscObject)sp),&viewer);CHKERRQ(ierr); if (sp->has_cnst) { ierr = VecDuplicate(l,&r);CHKERRQ(ierr); ierr = VecGetSize(l,&N);CHKERRQ(ierr); sum = 1.0/N; ierr = VecSet(l,sum);CHKERRQ(ierr); ierr = MatMult(mat,l,r);CHKERRQ(ierr); ierr = VecNorm(r,NORM_2,&nrm);CHKERRQ(ierr); if (nrm >= tol) consistent = PETSC_FALSE; if (flg1) { if (consistent) { ierr = PetscPrintf(PetscObjectComm((PetscObject)sp),"Constants are likely null vector");CHKERRQ(ierr); } else { ierr = PetscPrintf(PetscObjectComm((PetscObject)sp),"Constants are unlikely null vector ");CHKERRQ(ierr); } ierr = PetscPrintf(PetscObjectComm((PetscObject)sp),"|| A * 1/N || = %g\n",(double)nrm);CHKERRQ(ierr); } if (!consistent && flg1) {ierr = VecView(r,viewer);CHKERRQ(ierr);} if (!consistent && flg2) {ierr = VecView(r,viewer);CHKERRQ(ierr);} ierr = VecDestroy(&r);CHKERRQ(ierr); } for (j=0; jops->mult)(mat,sp->vecs[j],l);CHKERRQ(ierr); ierr = VecNorm(l,NORM_2,&nrm);CHKERRQ(ierr); if (nrm >= tol) consistent = PETSC_FALSE; if (flg1) { if (consistent) { ierr = PetscPrintf(PetscObjectComm((PetscObject)sp),"Null vector %D is likely null vector",j);CHKERRQ(ierr); } else { ierr = PetscPrintf(PetscObjectComm((PetscObject)sp),"Null vector %D unlikely null vector ",j);CHKERRQ(ierr); consistent = PETSC_FALSE; } ierr = PetscPrintf(PetscObjectComm((PetscObject)sp),"|| A * v[%D] || = %g\n",j,(double)nrm);CHKERRQ(ierr); } if (!consistent && flg1) {ierr = VecView(l,viewer);CHKERRQ(ierr);} if (!consistent && flg2) {ierr = VecView(l,viewer);CHKERRQ(ierr);} } if (sp->remove) SETERRQ(PetscObjectComm((PetscObject)mat),PETSC_ERR_SUP,"Cannot test a null space provided as a function with MatNullSpaceSetFunction()"); ierr = VecDestroy(&l);CHKERRQ(ierr); if (isNull) *isNull = consistent; PetscFunctionReturn(0); }