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: }