Actual source code: sendsparse.c
2: #include src/sys/src/viewer/impls/socket/socket.h
4: /*--------------------------------------------------------------*/
7: /*
8: PetscViewerSocketPutSparse_Private - Passes a sparse matrix in AIJ format
9: to a Socket PetscViewer.
11: Input Parameters:
12: + vw - obtained from PetscViewerSocketOpen()
13: . m - number of rows of matrix
14: . m - number of columns of matrix
15: . nnz - number of nonzeros in matrix
16: . v - the nonzero entries
17: . r - the row pointers (m + 1 of them)
18: - c - the column pointers (nnz of them)
20: Level: developer
22: Notes:
23: Most users should not call this routine, but instead should employ
24: $ MatView(Mat matrix,PetscViewer viewer)
26: Notes for Advanced Users:
27: PetscViewerSocketPutSparse_Private() actually passes the matrix transpose, since
28: Matlab prefers column oriented storage.
30: Concepts: Matlab^sending data, sparse matrices
31: Concepts: Sockets^sending data, sparse matrices
33: .seealso: PetscViewerSocketOpen(), MatView()
34: */
35: PetscErrorCode PetscViewerSocketPutSparse_Private(PetscViewer vw,PetscInt m,PetscInt n,PetscInt nnz,PetscScalar *v,PetscInt *r,PetscInt *c)
36: {
37: PetscViewer_Socket *vmatlab = (PetscViewer_Socket*)vw->data;
38: PetscErrorCode ierr;
39: int t = vmatlab->port,type = SPARSEREAL,value;
42: PetscBinaryWrite(t,&type,1,PETSC_INT,PETSC_FALSE);
43: PetscBinaryWrite(t,&m,1,PETSC_INT,PETSC_FALSE);
44: PetscBinaryWrite(t,&n,1,PETSC_INT,PETSC_FALSE);
45: PetscBinaryWrite(t,&nnz,1,PETSC_INT,PETSC_FALSE);
46: #if !defined(PETSC_USE_COMPLEX)
47: value = 0;
48: #else
49: value = 1;
50: #endif
51: PetscBinaryWrite(t,&value,1,PETSC_INT,PETSC_FALSE);
52: PetscBinaryWrite(t,v,nnz,PETSC_REAL,PETSC_FALSE);
53: PetscBinaryWrite(t,r,m+1,PETSC_INT,PETSC_FALSE);
54: PetscBinaryWrite(t,c,nnz,PETSC_INT,PETSC_FALSE);
55: return(0);
56: }