xref: /petsc/src/mat/impls/sbaij/seq/sbaij.c (revision ceb03754fa7dd360e20fd24445c18760198643f9)

/*
    Defines the basic matrix operations for the SBAIJ (compressed row)
  matrix storage format.
*/
#include "src/mat/impls/baij/seq/baij.h"         /*I "petscmat.h" I*/
#include "src/inline/spops.h"
#include "src/mat/impls/sbaij/seq/sbaij.h"

#define CHUNKSIZE  10

/*
     Checks for missing diagonals
*/
#undef __FUNCT__
#define __FUNCT__ "MatMissingDiagonal_SeqSBAIJ"
PetscErrorCode MatMissingDiagonal_SeqSBAIJ(Mat A)
{
  Mat_SeqSBAIJ   *a = (Mat_SeqSBAIJ*)A->data;
  PetscErrorCode ierr;
  PetscInt       *diag,*jj = a->j,i;

  PetscFunctionBegin;
  ierr = MatMarkDiagonal_SeqSBAIJ(A);CHKERRQ(ierr);
  diag = a->diag;
  for (i=0; i<a->mbs; i++) {
    if (jj[diag[i]] != i) SETERRQ1(PETSC_ERR_ARG_CORRUPT,"Matrix is missing diagonal number %D",i);
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatMarkDiagonal_SeqSBAIJ"
PetscErrorCode MatMarkDiagonal_SeqSBAIJ(Mat A)
{
  Mat_SeqSBAIJ   *a = (Mat_SeqSBAIJ*)A->data;
  PetscErrorCode ierr;
  PetscInt       i,mbs = a->mbs;

  PetscFunctionBegin;
  if (a->diag) PetscFunctionReturn(0);

  ierr = PetscMalloc((mbs+1)*sizeof(PetscInt),&a->diag);CHKERRQ(ierr);
  ierr = PetscLogObjectMemory(A,(mbs+1)*sizeof(PetscInt));CHKERRQ(ierr);
  for (i=0; i<mbs; i++) a->diag[i] = a->i[i];
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatGetRowIJ_SeqSBAIJ"
static PetscErrorCode MatGetRowIJ_SeqSBAIJ(Mat A,PetscInt oshift,PetscTruth symmetric,PetscInt *nn,PetscInt *ia[],PetscInt *ja[],PetscTruth *done)
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data;
  PetscInt     n = a->mbs,i;

  PetscFunctionBegin;
  *nn = n;
  if (!ia) PetscFunctionReturn(0);

  if (oshift == 1) {
    /* temporarily add 1 to i and j indices */
    PetscInt nz = a->i[n];
    for (i=0; i<nz; i++) a->j[i]++;
    for (i=0; i<n+1; i++) a->i[i]++;
    *ia = a->i; *ja = a->j;
  } else {
    *ia = a->i; *ja = a->j;
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatRestoreRowIJ_SeqSBAIJ"
static PetscErrorCode MatRestoreRowIJ_SeqSBAIJ(Mat A,PetscInt oshift,PetscTruth symmetric,PetscInt *nn,PetscInt *ia[],PetscInt *ja[],PetscTruth *done)
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data;
  PetscInt     i,n = a->mbs;

  PetscFunctionBegin;
  if (!ia) PetscFunctionReturn(0);

  if (oshift == 1) {
    PetscInt nz = a->i[n]-1;
    for (i=0; i<nz; i++) a->j[i]--;
    for (i=0; i<n+1; i++) a->i[i]--;
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatDestroy_SeqSBAIJ"
PetscErrorCode MatDestroy_SeqSBAIJ(Mat A)
{
  Mat_SeqSBAIJ   *a = (Mat_SeqSBAIJ*)A->data;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  PetscLogObjectState((PetscObject)A,"Rows=%D, NZ=%D",A->m,a->nz);
  ierr = PetscFree(a->a);CHKERRQ(ierr);
  if (!a->singlemalloc) {
    ierr = PetscFree(a->i);CHKERRQ(ierr);
    ierr = PetscFree(a->j);CHKERRQ(ierr);
  }
  if (a->row) {
    ierr = ISDestroy(a->row);CHKERRQ(ierr);
  }
  if (a->diag) {ierr = PetscFree(a->diag);CHKERRQ(ierr);}
  if (a->ilen) {ierr = PetscFree(a->ilen);CHKERRQ(ierr);}
  if (a->imax) {ierr = PetscFree(a->imax);CHKERRQ(ierr);}
  if (a->icol) {ierr = ISDestroy(a->icol);CHKERRQ(ierr);}
  if (a->solve_work)  {ierr = PetscFree(a->solve_work);CHKERRQ(ierr);}
  if (a->solves_work) {ierr = PetscFree(a->solves_work);CHKERRQ(ierr);}
  if (a->mult_work)   {ierr = PetscFree(a->mult_work);CHKERRQ(ierr);}
  if (a->saved_values) {ierr = PetscFree(a->saved_values);CHKERRQ(ierr);}
  if (a->xtoy) {ierr = PetscFree(a->xtoy);CHKERRQ(ierr);}

  if (a->inew){
    ierr = PetscFree(a->inew);CHKERRQ(ierr);
    a->inew = 0;
  }
  ierr = PetscFree(a);CHKERRQ(ierr);

  ierr = PetscObjectComposeFunction((PetscObject)A,"MatStoreValues_C","",PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)A,"MatRetrieveValues_C","",PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)A,"MatSeqSBAIJSetColumnIndices_C","",PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)A,"MatConvert_seqsbaij_seqaij_C","",PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)A,"MatConvert_seqsbaij_seqbaij_C","",PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)A,"MatSeqSBAIJSetPreallocation_C","",PETSC_NULL);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatSetOption_SeqSBAIJ"
PetscErrorCode MatSetOption_SeqSBAIJ(Mat A,MatOption op)
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data;

  PetscFunctionBegin;
  switch (op) {
  case MAT_ROW_ORIENTED:
    a->roworiented    = PETSC_TRUE;
    break;
  case MAT_COLUMN_ORIENTED:
    a->roworiented    = PETSC_FALSE;
    break;
  case MAT_COLUMNS_SORTED:
    a->sorted         = PETSC_TRUE;
    break;
  case MAT_COLUMNS_UNSORTED:
    a->sorted         = PETSC_FALSE;
    break;
  case MAT_KEEP_ZEROED_ROWS:
    a->keepzeroedrows = PETSC_TRUE;
    break;
  case MAT_NO_NEW_NONZERO_LOCATIONS:
    a->nonew          = 1;
    break;
  case MAT_NEW_NONZERO_LOCATION_ERR:
    a->nonew          = -1;
    break;
  case MAT_NEW_NONZERO_ALLOCATION_ERR:
    a->nonew          = -2;
    break;
  case MAT_YES_NEW_NONZERO_LOCATIONS:
    a->nonew          = 0;
    break;
  case MAT_ROWS_SORTED:
  case MAT_ROWS_UNSORTED:
  case MAT_YES_NEW_DIAGONALS:
  case MAT_IGNORE_OFF_PROC_ENTRIES:
  case MAT_USE_HASH_TABLE:
    PetscLogInfo(A,"MatSetOption_SeqSBAIJ:Option ignored\n");
    break;
  case MAT_NO_NEW_DIAGONALS:
    SETERRQ(PETSC_ERR_SUP,"MAT_NO_NEW_DIAGONALS");
  case MAT_NOT_SYMMETRIC:
  case MAT_NOT_STRUCTURALLY_SYMMETRIC:
  case MAT_HERMITIAN:
    SETERRQ(PETSC_ERR_SUP,"Matrix must be symmetric");
  case MAT_SYMMETRIC:
  case MAT_STRUCTURALLY_SYMMETRIC:
  case MAT_NOT_HERMITIAN:
  case MAT_SYMMETRY_ETERNAL:
  case MAT_NOT_SYMMETRY_ETERNAL:
    break;
  default:
    SETERRQ(PETSC_ERR_SUP,"unknown option");
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatGetRow_SeqSBAIJ"
PetscErrorCode MatGetRow_SeqSBAIJ(Mat A,PetscInt row,PetscInt *ncols,PetscInt **cols,PetscScalar **v)
{
  Mat_SeqSBAIJ   *a = (Mat_SeqSBAIJ*)A->data;
  PetscErrorCode ierr;
  PetscInt       itmp,i,j,k,M,*ai,*aj,bs,bn,bp,*cols_i,bs2;
  MatScalar      *aa,*aa_i;
  PetscScalar    *v_i;

  PetscFunctionBegin;
  bs  = A->bs;
  ai  = a->i;
  aj  = a->j;
  aa  = a->a;
  bs2 = a->bs2;

  if (row < 0 || row >= A->m) SETERRQ1(PETSC_ERR_ARG_OUTOFRANGE, "Row %D out of range", row);

  bn  = row/bs;   /* Block number */
  bp  = row % bs; /* Block position */
  M   = ai[bn+1] - ai[bn];
  *ncols = bs*M;

  if (v) {
    *v = 0;
    if (*ncols) {
      ierr = PetscMalloc((*ncols+row)*sizeof(PetscScalar),v);CHKERRQ(ierr);
      for (i=0; i<M; i++) { /* for each block in the block row */
        v_i  = *v + i*bs;
        aa_i = aa + bs2*(ai[bn] + i);
        for (j=bp,k=0; j<bs2; j+=bs,k++) {v_i[k] = aa_i[j];}
      }
    }
  }

  if (cols) {
    *cols = 0;
    if (*ncols) {
      ierr = PetscMalloc((*ncols+row)*sizeof(PetscInt),cols);CHKERRQ(ierr);
      for (i=0; i<M; i++) { /* for each block in the block row */
        cols_i = *cols + i*bs;
        itmp  = bs*aj[ai[bn] + i];
        for (j=0; j<bs; j++) {cols_i[j] = itmp++;}
      }
    }
  }

  /*search column A(0:row-1,row) (=A(row,0:row-1)). Could be expensive! */
  /* this segment is currently removed, so only entries in the upper triangle are obtained */
#ifdef column_search
  v_i    = *v    + M*bs;
  cols_i = *cols + M*bs;
  for (i=0; i<bn; i++){ /* for each block row */
    M = ai[i+1] - ai[i];
    for (j=0; j<M; j++){
      itmp = aj[ai[i] + j];    /* block column value */
      if (itmp == bn){
        aa_i   = aa    + bs2*(ai[i] + j) + bs*bp;
        for (k=0; k<bs; k++) {
          *cols_i++ = i*bs+k;
          *v_i++    = aa_i[k];
        }
        *ncols += bs;
        break;
      }
    }
  }
#endif
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatRestoreRow_SeqSBAIJ"
PetscErrorCode MatRestoreRow_SeqSBAIJ(Mat A,PetscInt row,PetscInt *nz,PetscInt **idx,PetscScalar **v)
{
  PetscErrorCode ierr;

  PetscFunctionBegin;
  if (idx) {if (*idx) {ierr = PetscFree(*idx);CHKERRQ(ierr);}}
  if (v)   {if (*v)   {ierr = PetscFree(*v);CHKERRQ(ierr);}}
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatTranspose_SeqSBAIJ"
PetscErrorCode MatTranspose_SeqSBAIJ(Mat A,Mat *B)
{
  PetscErrorCode ierr;
  PetscFunctionBegin;
  ierr = MatDuplicate(A,MAT_COPY_VALUES,B);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatView_SeqSBAIJ_ASCII"
static PetscErrorCode MatView_SeqSBAIJ_ASCII(Mat A,PetscViewer viewer)
{
  Mat_SeqSBAIJ      *a = (Mat_SeqSBAIJ*)A->data;
  PetscErrorCode    ierr;
  PetscInt          i,j,bs = A->bs,k,l,bs2=a->bs2;
  char              *name;
  PetscViewerFormat format;

  PetscFunctionBegin;
  ierr = PetscObjectGetName((PetscObject)A,&name);CHKERRQ(ierr);
  ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr);
  if (format == PETSC_VIEWER_ASCII_INFO || format == PETSC_VIEWER_ASCII_INFO_DETAIL) {
    ierr = PetscViewerASCIIPrintf(viewer,"  block size is %D\n",bs);CHKERRQ(ierr);
  } else if (format == PETSC_VIEWER_ASCII_MATLAB) {
    SETERRQ(PETSC_ERR_SUP,"Matlab format not supported");
  } else if (format == PETSC_VIEWER_ASCII_COMMON) {
    ierr = PetscViewerASCIIUseTabs(viewer,PETSC_NO);CHKERRQ(ierr);
    for (i=0; i<a->mbs; i++) {
      for (j=0; j<bs; j++) {
        ierr = PetscViewerASCIIPrintf(viewer,"row %D:",i*bs+j);CHKERRQ(ierr);
        for (k=a->i[i]; k<a->i[i+1]; k++) {
          for (l=0; l<bs; l++) {
#if defined(PETSC_USE_COMPLEX)
            if (PetscImaginaryPart(a->a[bs2*k + l*bs + j]) > 0.0 && PetscRealPart(a->a[bs2*k + l*bs + j]) != 0.0) {
              ierr = PetscViewerASCIIPrintf(viewer," (%D, %g + %g i) ",bs*a->j[k]+l,
                      PetscRealPart(a->a[bs2*k + l*bs + j]),PetscImaginaryPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr);
            } else if (PetscImaginaryPart(a->a[bs2*k + l*bs + j]) < 0.0 && PetscRealPart(a->a[bs2*k + l*bs + j]) != 0.0) {
              ierr = PetscViewerASCIIPrintf(viewer," (%D, %g - %g i) ",bs*a->j[k]+l,
                      PetscRealPart(a->a[bs2*k + l*bs + j]),-PetscImaginaryPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr);
            } else if (PetscRealPart(a->a[bs2*k + l*bs + j]) != 0.0) {
              ierr = PetscViewerASCIIPrintf(viewer," (%D, %g) ",bs*a->j[k]+l,PetscRealPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr);
            }
#else
            if (a->a[bs2*k + l*bs + j] != 0.0) {
              ierr = PetscViewerASCIIPrintf(viewer," (%D, %g) ",bs*a->j[k]+l,a->a[bs2*k + l*bs + j]);CHKERRQ(ierr);
            }
#endif
          }
        }
        ierr = PetscViewerASCIIPrintf(viewer,"\n");CHKERRQ(ierr);
      }
    }
    ierr = PetscViewerASCIIUseTabs(viewer,PETSC_YES);CHKERRQ(ierr);
  } else {
    ierr = PetscViewerASCIIUseTabs(viewer,PETSC_NO);CHKERRQ(ierr);
    for (i=0; i<a->mbs; i++) {
      for (j=0; j<bs; j++) {
        ierr = PetscViewerASCIIPrintf(viewer,"row %D:",i*bs+j);CHKERRQ(ierr);
        for (k=a->i[i]; k<a->i[i+1]; k++) {
          for (l=0; l<bs; l++) {
#if defined(PETSC_USE_COMPLEX)
            if (PetscImaginaryPart(a->a[bs2*k + l*bs + j]) > 0.0) {
              ierr = PetscViewerASCIIPrintf(viewer," (%D, %g + %g i) ",bs*a->j[k]+l,
                PetscRealPart(a->a[bs2*k + l*bs + j]),PetscImaginaryPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr);
            } else if (PetscImaginaryPart(a->a[bs2*k + l*bs + j]) < 0.0) {
              ierr = PetscViewerASCIIPrintf(viewer," (%D, %g - %g i) ",bs*a->j[k]+l,
                PetscRealPart(a->a[bs2*k + l*bs + j]),-PetscImaginaryPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr);
            } else {
              ierr = PetscViewerASCIIPrintf(viewer," (%D, %g) ",bs*a->j[k]+l,PetscRealPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr);
            }
#else
            ierr = PetscViewerASCIIPrintf(viewer," %D %g ",bs*a->j[k]+l,a->a[bs2*k + l*bs + j]);CHKERRQ(ierr);
#endif
          }
        }
        ierr = PetscViewerASCIIPrintf(viewer,"\n");CHKERRQ(ierr);
      }
    }
    ierr = PetscViewerASCIIUseTabs(viewer,PETSC_YES);CHKERRQ(ierr);
  }
  ierr = PetscViewerFlush(viewer);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatView_SeqSBAIJ_Draw_Zoom"
static PetscErrorCode MatView_SeqSBAIJ_Draw_Zoom(PetscDraw draw,void *Aa)
{
  Mat            A = (Mat) Aa;
  Mat_SeqSBAIJ   *a=(Mat_SeqSBAIJ*)A->data;
  PetscErrorCode ierr;
  PetscInt       row,i,j,k,l,mbs=a->mbs,color,bs=A->bs,bs2=a->bs2;
  PetscMPIInt    rank;
  PetscReal      xl,yl,xr,yr,x_l,x_r,y_l,y_r;
  MatScalar      *aa;
  MPI_Comm       comm;
  PetscViewer    viewer;

  PetscFunctionBegin;
  /*
      This is nasty. If this is called from an originally parallel matrix
   then all processes call this,but only the first has the matrix so the
   rest should return immediately.
  */
  ierr = PetscObjectGetComm((PetscObject)draw,&comm);CHKERRQ(ierr);
  ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr);
  if (rank) PetscFunctionReturn(0);

  ierr = PetscObjectQuery((PetscObject)A,"Zoomviewer",(PetscObject*)&viewer);CHKERRQ(ierr);

  ierr = PetscDrawGetCoordinates(draw,&xl,&yl,&xr,&yr);CHKERRQ(ierr);
  PetscDrawString(draw, .3*(xl+xr), .3*(yl+yr), PETSC_DRAW_BLACK, "symmetric");

  /* loop over matrix elements drawing boxes */
  color = PETSC_DRAW_BLUE;
  for (i=0,row=0; i<mbs; i++,row+=bs) {
    for (j=a->i[i]; j<a->i[i+1]; j++) {
      y_l = A->m - row - 1.0; y_r = y_l + 1.0;
      x_l = a->j[j]*bs; x_r = x_l + 1.0;
      aa = a->a + j*bs2;
      for (k=0; k<bs; k++) {
        for (l=0; l<bs; l++) {
          if (PetscRealPart(*aa++) >=  0.) continue;
          ierr = PetscDrawRectangle(draw,x_l+k,y_l-l,x_r+k,y_r-l,color,color,color,color);CHKERRQ(ierr);
        }
      }
    }
  }
  color = PETSC_DRAW_CYAN;
  for (i=0,row=0; i<mbs; i++,row+=bs) {
    for (j=a->i[i]; j<a->i[i+1]; j++) {
      y_l = A->m - row - 1.0; y_r = y_l + 1.0;
      x_l = a->j[j]*bs; x_r = x_l + 1.0;
      aa = a->a + j*bs2;
      for (k=0; k<bs; k++) {
        for (l=0; l<bs; l++) {
          if (PetscRealPart(*aa++) != 0.) continue;
          ierr = PetscDrawRectangle(draw,x_l+k,y_l-l,x_r+k,y_r-l,color,color,color,color);CHKERRQ(ierr);
        }
      }
    }
  }

  color = PETSC_DRAW_RED;
  for (i=0,row=0; i<mbs; i++,row+=bs) {
    for (j=a->i[i]; j<a->i[i+1]; j++) {
      y_l = A->m - row - 1.0; y_r = y_l + 1.0;
      x_l = a->j[j]*bs; x_r = x_l + 1.0;
      aa = a->a + j*bs2;
      for (k=0; k<bs; k++) {
        for (l=0; l<bs; l++) {
          if (PetscRealPart(*aa++) <= 0.) continue;
          ierr = PetscDrawRectangle(draw,x_l+k,y_l-l,x_r+k,y_r-l,color,color,color,color);CHKERRQ(ierr);
        }
      }
    }
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatView_SeqSBAIJ_Draw"
static PetscErrorCode MatView_SeqSBAIJ_Draw(Mat A,PetscViewer viewer)
{
  PetscErrorCode ierr;
  PetscReal      xl,yl,xr,yr,w,h;
  PetscDraw      draw;
  PetscTruth     isnull;

  PetscFunctionBegin;

  ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr);
  ierr = PetscDrawIsNull(draw,&isnull);CHKERRQ(ierr); if (isnull) PetscFunctionReturn(0);

  ierr = PetscObjectCompose((PetscObject)A,"Zoomviewer",(PetscObject)viewer);CHKERRQ(ierr);
  xr  = A->m; yr = A->m; h = yr/10.0; w = xr/10.0;
  xr += w;    yr += h;  xl = -w;     yl = -h;
  ierr = PetscDrawSetCoordinates(draw,xl,yl,xr,yr);CHKERRQ(ierr);
  ierr = PetscDrawZoom(draw,MatView_SeqSBAIJ_Draw_Zoom,A);CHKERRQ(ierr);
  ierr = PetscObjectCompose((PetscObject)A,"Zoomviewer",PETSC_NULL);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatView_SeqSBAIJ"
PetscErrorCode MatView_SeqSBAIJ(Mat A,PetscViewer viewer)
{
  PetscErrorCode ierr;
  PetscTruth     iascii,isdraw;

  PetscFunctionBegin;
  ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&iascii);CHKERRQ(ierr);
  ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_DRAW,&isdraw);CHKERRQ(ierr);
  if (iascii){
    ierr = MatView_SeqSBAIJ_ASCII(A,viewer);CHKERRQ(ierr);
  } else if (isdraw) {
    ierr = MatView_SeqSBAIJ_Draw(A,viewer);CHKERRQ(ierr);
  } else {
    Mat B;
    ierr = MatConvert(A,MATSEQAIJ,MAT_INITIAL_MATRIX,&B);CHKERRQ(ierr);
    ierr = MatView(B,viewer);CHKERRQ(ierr);
    ierr = MatDestroy(B);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}


#undef __FUNCT__
#define __FUNCT__ "MatGetValues_SeqSBAIJ"
PetscErrorCode MatGetValues_SeqSBAIJ(Mat A,PetscInt m,const PetscInt im[],PetscInt n,const PetscInt in[],PetscScalar v[])
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data;
  PetscInt     *rp,k,low,high,t,row,nrow,i,col,l,*aj = a->j;
  PetscInt     *ai = a->i,*ailen = a->ilen;
  PetscInt     brow,bcol,ridx,cidx,bs=A->bs,bs2=a->bs2;
  MatScalar    *ap,*aa = a->a,zero = 0.0;

  PetscFunctionBegin;
  for (k=0; k<m; k++) { /* loop over rows */
    row  = im[k]; brow = row/bs;
    if (row < 0) SETERRQ1(PETSC_ERR_ARG_OUTOFRANGE,"Negative row: %D",row);
    if (row >= A->m) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",row,A->m-1);
    rp   = aj + ai[brow] ; ap = aa + bs2*ai[brow] ;
    nrow = ailen[brow];
    for (l=0; l<n; l++) { /* loop over columns */
      if (in[l] < 0) SETERRQ1(PETSC_ERR_ARG_OUTOFRANGE,"Negative column: %D",in[l]);
      if (in[l] >= A->n) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",in[l],A->n-1);
      col  = in[l] ;
      bcol = col/bs;
      cidx = col%bs;
      ridx = row%bs;
      high = nrow;
      low  = 0; /* assume unsorted */
      while (high-low > 5) {
        t = (low+high)/2;
        if (rp[t] > bcol) high = t;
        else             low  = t;
      }
      for (i=low; i<high; i++) {
        if (rp[i] > bcol) break;
        if (rp[i] == bcol) {
          *v++ = ap[bs2*i+bs*cidx+ridx];
          goto finished;
        }
      }
      *v++ = zero;
      finished:;
    }
  }
  PetscFunctionReturn(0);
}


#undef __FUNCT__
#define __FUNCT__ "MatSetValuesBlocked_SeqSBAIJ"
PetscErrorCode MatSetValuesBlocked_SeqSBAIJ(Mat A,PetscInt m,const PetscInt im[],PetscInt n,const PetscInt in[],const PetscScalar v[],InsertMode is)
{
  Mat_SeqSBAIJ    *a = (Mat_SeqSBAIJ*)A->data;
  PetscErrorCode  ierr;
  PetscInt        *rp,k,low,high,t,ii,jj,row,nrow,i,col,l,rmax,N,lastcol = -1;
  PetscInt        *imax=a->imax,*ai=a->i,*ailen=a->ilen;
  PetscInt        *aj=a->j,nonew=a->nonew,bs2=a->bs2,bs=A->bs,stepval;
  PetscTruth      roworiented=a->roworiented;
  const MatScalar *value = v;
  MatScalar       *ap,*aa = a->a,*bap;

  PetscFunctionBegin;
  if (roworiented) {
    stepval = (n-1)*bs;
  } else {
    stepval = (m-1)*bs;
  }
  for (k=0; k<m; k++) { /* loop over added rows */
    row  = im[k];
    if (row < 0) continue;
#if defined(PETSC_USE_DEBUG)
    if (row >= a->mbs) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",row,a->mbs-1);
#endif
    rp   = aj + ai[row];
    ap   = aa + bs2*ai[row];
    rmax = imax[row];
    nrow = ailen[row];
    low  = 0;
    high = nrow;
    for (l=0; l<n; l++) { /* loop over added columns */
      if (in[l] < 0) continue;
      col = in[l];
#if defined(PETSC_USE_DEBUG)
      if (col >= a->nbs) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",col,a->nbs-1);
#endif
      if (col < row) continue; /* ignore lower triangular block */
      if (roworiented) {
        value = v + k*(stepval+bs)*bs + l*bs;
      } else {
        value = v + l*(stepval+bs)*bs + k*bs;
      }
      if (col < lastcol) low = 0; else high = nrow;
      lastcol = col;
      while (high-low > 7) {
        t = (low+high)/2;
        if (rp[t] > col) high = t;
        else             low  = t;
      }
      for (i=low; i<high; i++) {
        if (rp[i] > col) break;
        if (rp[i] == col) {
          bap  = ap +  bs2*i;
          if (roworiented) {
            if (is == ADD_VALUES) {
              for (ii=0; ii<bs; ii++,value+=stepval) {
                for (jj=ii; jj<bs2; jj+=bs) {
                  bap[jj] += *value++;
                }
              }
            } else {
              for (ii=0; ii<bs; ii++,value+=stepval) {
                for (jj=ii; jj<bs2; jj+=bs) {
                  bap[jj] = *value++;
                }
              }
            }
          } else {
            if (is == ADD_VALUES) {
              for (ii=0; ii<bs; ii++,value+=stepval) {
                for (jj=0; jj<bs; jj++) {
                  *bap++ += *value++;
                }
              }
            } else {
              for (ii=0; ii<bs; ii++,value+=stepval) {
                for (jj=0; jj<bs; jj++) {
                  *bap++  = *value++;
                }
              }
            }
          }
          goto noinsert2;
        }
      }
      if (nonew == 1) goto noinsert2;
      else if (nonew == -1) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Inserting a new nonzero (%D, %D) in the matrix", row, col);
      if (nrow >= rmax) {
        /* there is no extra room in row, therefore enlarge */
        PetscInt       new_nz = ai[a->mbs] + CHUNKSIZE,len,*new_i,*new_j;
        MatScalar *new_a;

        if (nonew == -2) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Inserting a new nonzero (%D, %D) in the matrix", row, col);

        /* malloc new storage space */
        len     = new_nz*(sizeof(PetscInt)+bs2*sizeof(MatScalar))+(a->mbs+1)*sizeof(PetscInt);
	ierr    = PetscMalloc(len,&new_a);CHKERRQ(ierr);
        new_j   = (PetscInt*)(new_a + bs2*new_nz);
        new_i   = new_j + new_nz;

        /* copy over old data into new slots */
        for (ii=0; ii<row+1; ii++) {new_i[ii] = ai[ii];}
        for (ii=row+1; ii<a->mbs+1; ii++) {new_i[ii] = ai[ii]+CHUNKSIZE;}
        ierr = PetscMemcpy(new_j,aj,(ai[row]+nrow)*sizeof(PetscInt));CHKERRQ(ierr);
        len  = (new_nz - CHUNKSIZE - ai[row] - nrow);
        ierr = PetscMemcpy(new_j+ai[row]+nrow+CHUNKSIZE,aj+ai[row]+nrow,len*sizeof(PetscInt));CHKERRQ(ierr);
        ierr = PetscMemcpy(new_a,aa,(ai[row]+nrow)*bs2*sizeof(MatScalar));CHKERRQ(ierr);
        ierr = PetscMemzero(new_a+bs2*(ai[row]+nrow),bs2*CHUNKSIZE*sizeof(MatScalar));CHKERRQ(ierr);
        ierr = PetscMemcpy(new_a+bs2*(ai[row]+nrow+CHUNKSIZE),aa+bs2*(ai[row]+nrow),bs2*len*sizeof(MatScalar));CHKERRQ(ierr);
        /* free up old matrix storage */
        ierr = PetscFree(a->a);CHKERRQ(ierr);
        if (!a->singlemalloc) {
          ierr = PetscFree(a->i);CHKERRQ(ierr);
          ierr = PetscFree(a->j);CHKERRQ(ierr);
        }
        aa = a->a = new_a; ai = a->i = new_i; aj = a->j = new_j;
        a->singlemalloc = PETSC_TRUE;

        rp   = aj + ai[row]; ap = aa + bs2*ai[row];
        rmax = imax[row] = imax[row] + CHUNKSIZE;
        ierr = PetscLogObjectMemory(A,CHUNKSIZE*(sizeof(PetscInt) + bs2*sizeof(MatScalar)));CHKERRQ(ierr);
        a->maxnz += bs2*CHUNKSIZE;
        a->reallocs++;
        a->nz++;
      }
      N = nrow++ - 1;
      /* shift up all the later entries in this row */
      for (ii=N; ii>=i; ii--) {
        rp[ii+1] = rp[ii];
        ierr = PetscMemcpy(ap+bs2*(ii+1),ap+bs2*(ii),bs2*sizeof(MatScalar));CHKERRQ(ierr);
      }
      if (N >= i) {
        ierr = PetscMemzero(ap+bs2*i,bs2*sizeof(MatScalar));CHKERRQ(ierr);
      }
      rp[i] = col;
      bap   = ap +  bs2*i;
      if (roworiented) {
        for (ii=0; ii<bs; ii++,value+=stepval) {
          for (jj=ii; jj<bs2; jj+=bs) {
            bap[jj] = *value++;
          }
        }
      } else {
        for (ii=0; ii<bs; ii++,value+=stepval) {
          for (jj=0; jj<bs; jj++) {
            *bap++  = *value++;
          }
        }
      }
      noinsert2:;
      low = i;
    }
    ailen[row] = nrow;
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatAssemblyEnd_SeqSBAIJ"
PetscErrorCode MatAssemblyEnd_SeqSBAIJ(Mat A,MatAssemblyType mode)
{
  Mat_SeqSBAIJ   *a = (Mat_SeqSBAIJ*)A->data;
  PetscErrorCode ierr;
  PetscInt       fshift = 0,i,j,*ai = a->i,*aj = a->j,*imax = a->imax;
  PetscInt       m = A->m,*ip,N,*ailen = a->ilen;
  PetscInt       mbs = a->mbs,bs2 = a->bs2,rmax = 0;
  MatScalar      *aa = a->a,*ap;

  PetscFunctionBegin;
  if (mode == MAT_FLUSH_ASSEMBLY) PetscFunctionReturn(0);

  if (m) rmax = ailen[0];
  for (i=1; i<mbs; i++) {
    /* move each row back by the amount of empty slots (fshift) before it*/
    fshift += imax[i-1] - ailen[i-1];
    rmax   = PetscMax(rmax,ailen[i]);
    if (fshift) {
      ip = aj + ai[i]; ap = aa + bs2*ai[i];
      N = ailen[i];
      for (j=0; j<N; j++) {
        ip[j-fshift] = ip[j];
        ierr = PetscMemcpy(ap+(j-fshift)*bs2,ap+j*bs2,bs2*sizeof(MatScalar));CHKERRQ(ierr);
      }
    }
    ai[i] = ai[i-1] + ailen[i-1];
  }
  if (mbs) {
    fshift += imax[mbs-1] - ailen[mbs-1];
    ai[mbs] = ai[mbs-1] + ailen[mbs-1];
  }
  /* reset ilen and imax for each row */
  for (i=0; i<mbs; i++) {
    ailen[i] = imax[i] = ai[i+1] - ai[i];
  }
  a->nz = ai[mbs];

  /* diagonals may have moved, reset it */
  if (a->diag) {
    ierr = PetscMemcpy(a->diag,ai,(mbs+1)*sizeof(PetscInt));CHKERRQ(ierr);
  }
  PetscLogInfo(A,"MatAssemblyEnd_SeqSBAIJ:Matrix size: %D X %D, block size %D; storage space: %D unneeded, %D used\n",
           m,A->m,A->bs,fshift*bs2,a->nz*bs2);
  PetscLogInfo(A,"MatAssemblyEnd_SeqSBAIJ:Number of mallocs during MatSetValues is %D\n",
           a->reallocs);
  PetscLogInfo(A,"MatAssemblyEnd_SeqSBAIJ:Most nonzeros blocks in any row is %D\n",rmax);
  a->reallocs          = 0;
  A->info.nz_unneeded  = (PetscReal)fshift*bs2;
  PetscFunctionReturn(0);
}

/*
   This function returns an array of flags which indicate the locations of contiguous
   blocks that should be zeroed. for eg: if bs = 3  and is = [0,1,2,3,5,6,7,8,9]
   then the resulting sizes = [3,1,1,3,1] correspondig to sets [(0,1,2),(3),(5),(6,7,8),(9)]
   Assume: sizes should be long enough to hold all the values.
*/
#undef __FUNCT__
#define __FUNCT__ "MatZeroRows_SeqSBAIJ_Check_Blocks"
PetscErrorCode MatZeroRows_SeqSBAIJ_Check_Blocks(PetscInt idx[],PetscInt n,PetscInt bs,PetscInt sizes[], PetscInt *bs_max)
{
  PetscInt   i,j,k,row;
  PetscTruth flg;

  PetscFunctionBegin;
  for (i=0,j=0; i<n; j++) {
    row = idx[i];
    if (row%bs!=0) { /* Not the begining of a block */
      sizes[j] = 1;
      i++;
    } else if (i+bs > n) { /* Beginning of a block, but complete block doesn't exist (at idx end) */
      sizes[j] = 1;         /* Also makes sure atleast 'bs' values exist for next else */
      i++;
    } else { /* Begining of the block, so check if the complete block exists */
      flg = PETSC_TRUE;
      for (k=1; k<bs; k++) {
        if (row+k != idx[i+k]) { /* break in the block */
          flg = PETSC_FALSE;
          break;
        }
      }
      if (flg) { /* No break in the bs */
        sizes[j] = bs;
        i+= bs;
      } else {
        sizes[j] = 1;
        i++;
      }
    }
  }
  *bs_max = j;
  PetscFunctionReturn(0);
}


/* Only add/insert a(i,j) with i<=j (blocks).
   Any a(i,j) with i>j input by user is ingored.
*/

#undef __FUNCT__
#define __FUNCT__ "MatSetValues_SeqSBAIJ"
PetscErrorCode MatSetValues_SeqSBAIJ(Mat A,PetscInt m,const PetscInt im[],PetscInt n,const PetscInt in[],const PetscScalar v[],InsertMode is)
{
  Mat_SeqSBAIJ   *a = (Mat_SeqSBAIJ*)A->data;
  PetscErrorCode ierr;
  PetscInt       *rp,k,low,high,t,ii,row,nrow,i,col,l,rmax,N,lastcol = -1;
  PetscInt       *imax=a->imax,*ai=a->i,*ailen=a->ilen,roworiented=a->roworiented;
  PetscInt       *aj=a->j,nonew=a->nonew,bs=A->bs,brow,bcol;
  PetscInt       ridx,cidx,bs2=a->bs2;
  MatScalar      *ap,value,*aa=a->a,*bap;

  PetscFunctionBegin;
  for (k=0; k<m; k++) { /* loop over added rows */
    row  = im[k];       /* row number */
    brow = row/bs;      /* block row number */
    if (row < 0) continue;
#if defined(PETSC_USE_DEBUG)
    if (row >= A->m) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",row,A->m-1);
#endif
    rp   = aj + ai[brow]; /*ptr to beginning of column value of the row block*/
    ap   = aa + bs2*ai[brow]; /*ptr to beginning of element value of the row block*/
    rmax = imax[brow];  /* maximum space allocated for this row */
    nrow = ailen[brow]; /* actual length of this row */
    low  = 0;

    for (l=0; l<n; l++) { /* loop over added columns */
      if (in[l] < 0) continue;
#if defined(PETSC_USE_DEBUG)
      if (in[l] >= A->m) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",in[l],A->m-1);
#endif
      col = in[l];
      bcol = col/bs;              /* block col number */

      if (brow > bcol) continue; /* ignore lower triangular values */

      ridx = row % bs; cidx = col % bs; /*row and col index inside the block */
      if ((brow==bcol && ridx<=cidx) || (brow<bcol)){
        /* element value a(k,l) */
        if (roworiented) {
          value = v[l + k*n];
        } else {
          value = v[k + l*m];
        }

        /* move pointer bap to a(k,l) quickly and add/insert value */
        if (col < lastcol) low = 0; high = nrow;
        lastcol = col;
        while (high-low > 7) {
          t = (low+high)/2;
          if (rp[t] > bcol) high = t;
          else              low  = t;
        }
        for (i=low; i<high; i++) {
          if (rp[i] > bcol) break;
          if (rp[i] == bcol) {
            bap  = ap +  bs2*i + bs*cidx + ridx;
            if (is == ADD_VALUES) *bap += value;
            else                  *bap  = value;
            /* for diag block, add/insert its symmetric element a(cidx,ridx) */
            if (brow == bcol && ridx < cidx){
              bap  = ap +  bs2*i + bs*ridx + cidx;
              if (is == ADD_VALUES) *bap += value;
              else                  *bap  = value;
            }
            goto noinsert1;
          }
        }

        if (nonew == 1) goto noinsert1;
        else if (nonew == -1) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Inserting a new nonzero (%D, %D) in the matrix", row, col);
        if (nrow >= rmax) {
          /* there is no extra room in row, therefore enlarge */
          PetscInt       new_nz = ai[a->mbs] + CHUNKSIZE,len,*new_i,*new_j;
          MatScalar *new_a;

          if (nonew == -2) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"Inserting a new nonzero (%D, %D) in the matrix", row, col);

          /* Malloc new storage space */
          len   = new_nz*(sizeof(PetscInt)+bs2*sizeof(MatScalar))+(a->mbs+1)*sizeof(PetscInt);
          ierr  = PetscMalloc(len,&new_a);CHKERRQ(ierr);
          new_j = (PetscInt*)(new_a + bs2*new_nz);
          new_i = new_j + new_nz;

          /* copy over old data into new slots */
          for (ii=0; ii<brow+1; ii++) {new_i[ii] = ai[ii];}
          for (ii=brow+1; ii<a->mbs+1; ii++) {new_i[ii] = ai[ii]+CHUNKSIZE;}
          ierr = PetscMemcpy(new_j,aj,(ai[brow]+nrow)*sizeof(PetscInt));CHKERRQ(ierr);
          len  = (new_nz - CHUNKSIZE - ai[brow] - nrow);
          ierr = PetscMemcpy(new_j+ai[brow]+nrow+CHUNKSIZE,aj+ai[brow]+nrow,len*sizeof(PetscInt));CHKERRQ(ierr);
          ierr = PetscMemcpy(new_a,aa,(ai[brow]+nrow)*bs2*sizeof(MatScalar));CHKERRQ(ierr);
          ierr = PetscMemzero(new_a+bs2*(ai[brow]+nrow),bs2*CHUNKSIZE*sizeof(MatScalar));CHKERRQ(ierr);
          ierr = PetscMemcpy(new_a+bs2*(ai[brow]+nrow+CHUNKSIZE),aa+bs2*(ai[brow]+nrow),bs2*len*sizeof(MatScalar));CHKERRQ(ierr);
          /* free up old matrix storage */
          ierr = PetscFree(a->a);CHKERRQ(ierr);
          if (!a->singlemalloc) {
            ierr = PetscFree(a->i);CHKERRQ(ierr);
            ierr = PetscFree(a->j);CHKERRQ(ierr);
          }
          aa = a->a = new_a; ai = a->i = new_i; aj = a->j = new_j;
          a->singlemalloc = PETSC_TRUE;

          rp   = aj + ai[brow]; ap = aa + bs2*ai[brow];
          rmax = imax[brow] = imax[brow] + CHUNKSIZE;
          ierr = PetscLogObjectMemory(A,CHUNKSIZE*(sizeof(PetscInt) + bs2*sizeof(MatScalar)));CHKERRQ(ierr);
          a->maxnz += bs2*CHUNKSIZE;
          a->reallocs++;
          a->nz++;
        }

        N = nrow++ - 1;
        /* shift up all the later entries in this row */
        for (ii=N; ii>=i; ii--) {
          rp[ii+1] = rp[ii];
          ierr     = PetscMemcpy(ap+bs2*(ii+1),ap+bs2*(ii),bs2*sizeof(MatScalar));CHKERRQ(ierr);
        }
        if (N>=i) {
          ierr = PetscMemzero(ap+bs2*i,bs2*sizeof(MatScalar));CHKERRQ(ierr);
        }
        rp[i]                      = bcol;
        ap[bs2*i + bs*cidx + ridx] = value;
      noinsert1:;
        low = i;
      }
    }   /* end of loop over added columns */
    ailen[brow] = nrow;
  }   /* end of loop over added rows */
  PetscFunctionReturn(0);
}

EXTERN PetscErrorCode MatCholeskyFactorSymbolic_SeqSBAIJ(Mat,IS,MatFactorInfo*,Mat*);
EXTERN PetscErrorCode MatCholeskyFactor_SeqSBAIJ(Mat,IS,MatFactorInfo*);
EXTERN PetscErrorCode MatIncreaseOverlap_SeqSBAIJ(Mat,PetscInt,IS[],PetscInt);
EXTERN PetscErrorCode MatGetSubMatrix_SeqSBAIJ(Mat,IS,IS,PetscInt,MatReuse,Mat*);
EXTERN PetscErrorCode MatGetSubMatrices_SeqSBAIJ(Mat,PetscInt,const IS[],const IS[],MatReuse,Mat*[]);
EXTERN PetscErrorCode MatScale_SeqSBAIJ(const PetscScalar*,Mat);
EXTERN PetscErrorCode MatNorm_SeqSBAIJ(Mat,NormType,PetscReal *);
EXTERN PetscErrorCode MatEqual_SeqSBAIJ(Mat,Mat,PetscTruth*);
EXTERN PetscErrorCode MatGetDiagonal_SeqSBAIJ(Mat,Vec);
EXTERN PetscErrorCode MatDiagonalScale_SeqSBAIJ(Mat,Vec,Vec);
EXTERN PetscErrorCode MatGetInfo_SeqSBAIJ(Mat,MatInfoType,MatInfo *);
EXTERN PetscErrorCode MatZeroEntries_SeqSBAIJ(Mat);
EXTERN PetscErrorCode MatGetRowMax_SeqSBAIJ(Mat,Vec);

EXTERN PetscErrorCode MatSolve_SeqSBAIJ_N(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_1(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_2(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_3(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_4(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_5(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_6(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_7(Mat,Vec,Vec);

EXTERN PetscErrorCode MatSolves_SeqSBAIJ_1(Mat,Vecs,Vecs);

EXTERN PetscErrorCode MatSolve_SeqSBAIJ_1_NaturalOrdering(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_2_NaturalOrdering(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_3_NaturalOrdering(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_4_NaturalOrdering(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_5_NaturalOrdering(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_6_NaturalOrdering(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_7_NaturalOrdering(Mat,Vec,Vec);
EXTERN PetscErrorCode MatSolve_SeqSBAIJ_N_NaturalOrdering(Mat,Vec,Vec);

EXTERN PetscErrorCode MatCholeskyFactorNumeric_SeqSBAIJ_N(Mat,MatFactorInfo*,Mat*);
EXTERN PetscErrorCode MatCholeskyFactorNumeric_SeqSBAIJ_1(Mat,MatFactorInfo*,Mat*);
EXTERN PetscErrorCode MatCholeskyFactorNumeric_SeqSBAIJ_2(Mat,MatFactorInfo*,Mat*);
EXTERN PetscErrorCode MatCholeskyFactorNumeric_SeqSBAIJ_3(Mat,MatFactorInfo*,Mat*);
EXTERN PetscErrorCode MatCholeskyFactorNumeric_SeqSBAIJ_4(Mat,MatFactorInfo*,Mat*);
EXTERN PetscErrorCode MatCholeskyFactorNumeric_SeqSBAIJ_5(Mat,MatFactorInfo*,Mat*);
EXTERN PetscErrorCode MatCholeskyFactorNumeric_SeqSBAIJ_6(Mat,MatFactorInfo*,Mat*);
EXTERN PetscErrorCode MatCholeskyFactorNumeric_SeqSBAIJ_7(Mat,MatFactorInfo*,Mat*);
EXTERN PetscErrorCode MatGetInertia_SeqSBAIJ(Mat,PetscInt*,PetscInt*,PetscInt*);

EXTERN PetscErrorCode MatMult_SeqSBAIJ_1(Mat,Vec,Vec);
EXTERN PetscErrorCode MatMult_SeqSBAIJ_2(Mat,Vec,Vec);
EXTERN PetscErrorCode MatMult_SeqSBAIJ_3(Mat,Vec,Vec);
EXTERN PetscErrorCode MatMult_SeqSBAIJ_4(Mat,Vec,Vec);
EXTERN PetscErrorCode MatMult_SeqSBAIJ_5(Mat,Vec,Vec);
EXTERN PetscErrorCode MatMult_SeqSBAIJ_6(Mat,Vec,Vec);
EXTERN PetscErrorCode MatMult_SeqSBAIJ_7(Mat,Vec,Vec);
EXTERN PetscErrorCode MatMult_SeqSBAIJ_N(Mat,Vec,Vec);

EXTERN PetscErrorCode MatMultAdd_SeqSBAIJ_1(Mat,Vec,Vec,Vec);
EXTERN PetscErrorCode MatMultAdd_SeqSBAIJ_2(Mat,Vec,Vec,Vec);
EXTERN PetscErrorCode MatMultAdd_SeqSBAIJ_3(Mat,Vec,Vec,Vec);
EXTERN PetscErrorCode MatMultAdd_SeqSBAIJ_4(Mat,Vec,Vec,Vec);
EXTERN PetscErrorCode MatMultAdd_SeqSBAIJ_5(Mat,Vec,Vec,Vec);
EXTERN PetscErrorCode MatMultAdd_SeqSBAIJ_6(Mat,Vec,Vec,Vec);
EXTERN PetscErrorCode MatMultAdd_SeqSBAIJ_7(Mat,Vec,Vec,Vec);
EXTERN PetscErrorCode MatMultAdd_SeqSBAIJ_N(Mat,Vec,Vec,Vec);

#ifdef HAVE_MatICCFactor
/* modified from MatILUFactor_SeqSBAIJ, needs further work!  */
#undef __FUNCT__
#define __FUNCT__ "MatICCFactor_SeqSBAIJ"
PetscErrorCode MatICCFactor_SeqSBAIJ(Mat inA,IS row,MatFactorInfo *info)
{
  Mat_SeqSBAIJ   *a = (Mat_SeqSBAIJ*)inA->data;
  Mat            outA;
  PetscErrorCode ierr;
  PetscTruth     row_identity,col_identity;

  PetscFunctionBegin;
  outA          = inA;
  inA->factor   = FACTOR_CHOLESKY;

  if (!a->diag) {
    ierr = MatMarkDiagonal_SeqSBAIJ(inA);CHKERRQ(ierr);
  }
  /*
      Blocksize 2, 3, 4, 5, 6 and 7 have a special faster factorization/solver
      for ILU(0) factorization with natural ordering
  */
  switch (a->bs) {
  case 1:
    inA->ops->solve            = MatSolve_SeqSBAIJ_1_NaturalOrdering;
    inA->ops->solvetranspose   = MatSolve_SeqSBAIJ_1_NaturalOrdering;
    inA->ops->solves           = MatSolves_SeqSBAIJ_1;
    PetscLoginfo(inA,"MatICCFactor_SeqSBAIJ:Using special in-place natural ordering solvetrans BS=1\n");
  case 2:
    inA->ops->lufactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_2_NaturalOrdering;
    inA->ops->solve           = MatSolve_SeqSBAIJ_2_NaturalOrdering;
    inA->ops->solvetranspose  = MatSolve_SeqSBAIJ_2_NaturalOrdering;
    PetscLogInfo(inA,"MatICCFactor_SeqSBAIJ:Using special in-place natural ordering factor and solve BS=2\n");
    break;
  case 3:
    inA->ops->lufactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_3_NaturalOrdering;
    inA->ops->solve           = MatSolve_SeqSBAIJ_3_NaturalOrdering;
    inA->ops->solvetranspose  = MatSolve_SeqSBAIJ_3_NaturalOrdering;
    PetscLogInfo(inA,"MatICCFactor_SeqSBAIJ:Using special in-place natural ordering factor and solve BS=3\n");
    break;
  case 4:
    inA->ops->lufactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_4_NaturalOrdering;
    inA->ops->solve           = MatSolve_SeqSBAIJ_4_NaturalOrdering;
    inA->ops->solvetranspose  = MatSolve_SeqSBAIJ_4_NaturalOrdering;
    PetscLogInfo(inA,"MatICCFactor_SeqSBAIJ:Using special in-place natural ordering factor and solve BS=4\n");
    break;
  case 5:
    inA->ops->lufactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_5_NaturalOrdering;
    inA->ops->solve           = MatSolve_SeqSBAIJ_5_NaturalOrdering;
    inA->ops->solvetranspose  = MatSolve_SeqSBAIJ_5_NaturalOrdering;
    PetscLogInfo(inA,"MatICCFactor_SeqSBAIJ:Using special in-place natural ordering factor and solve BS=5\n");
    break;
  case 6:
    inA->ops->lufactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_6_NaturalOrdering;
    inA->ops->solve           = MatSolve_SeqSBAIJ_6_NaturalOrdering;
    inA->ops->solvetranspose  = MatSolve_SeqSBAIJ_6_NaturalOrdering;
    PetscLogInfo(inA,"MatICCFactor_SeqSBAIJ:Using special in-place natural ordering factor and solve BS=6\n");
    break;
  case 7:
    inA->ops->lufactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_7_NaturalOrdering;
    inA->ops->solvetranspose  = MatSolve_SeqSBAIJ_7_NaturalOrdering;
    inA->ops->solve           = MatSolve_SeqSBAIJ_7_NaturalOrdering;
    PetscLogInfo(inA,"MatICCFactor_SeqSBAIJ:Using special in-place natural ordering factor and solve BS=7\n");
    break;
  default:
    a->row        = row;
    a->icol       = col;
    ierr          = PetscObjectReference((PetscObject)row);CHKERRQ(ierr);
    ierr          = PetscObjectReference((PetscObject)col);CHKERRQ(ierr);

    /* Create the invert permutation so that it can be used in MatLUFactorNumeric() */
    ierr = ISInvertPermutation(col,PETSC_DECIDE, &(a->icol));CHKERRQ(ierr);
    ierr = PetscLogObjectParent(inA,a->icol);CHKERRQ(ierr);

    if (!a->solve_work) {
      ierr = PetscMalloc((A->m+a->bs)*sizeof(PetscScalar),&a->solve_work);CHKERRQ(ierr);
      ierr = PetscLogObjectMemory(inA,(A->m+a->bs)*sizeof(PetscScalar));CHKERRQ(ierr);
    }
  }

  ierr = MatCholeskyFactorNumeric(inA,info,&outA);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
#endif

#undef __FUNCT__
#define __FUNCT__ "MatPrintHelp_SeqSBAIJ"
PetscErrorCode MatPrintHelp_SeqSBAIJ(Mat A)
{
  static PetscTruth called = PETSC_FALSE;
  MPI_Comm          comm = A->comm;
  PetscErrorCode    ierr;

  PetscFunctionBegin;
  if (called) {PetscFunctionReturn(0);} else called = PETSC_TRUE;
  ierr = (*PetscHelpPrintf)(comm," Options for MATSEQSBAIJ and MATMPISBAIJ matrix formats (the defaults):\n");CHKERRQ(ierr);
  ierr = (*PetscHelpPrintf)(comm,"  -mat_block_size <block_size>\n");CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "MatSeqSBAIJSetColumnIndices_SeqSBAIJ"
PetscErrorCode MatSeqSBAIJSetColumnIndices_SeqSBAIJ(Mat mat,PetscInt *indices)
{
  Mat_SeqSBAIJ *baij = (Mat_SeqSBAIJ *)mat->data;
  PetscInt     i,nz,n;

  PetscFunctionBegin;
  nz = baij->maxnz;
  n  = mat->n;
  for (i=0; i<nz; i++) {
    baij->j[i] = indices[i];
  }
  baij->nz = nz;
  for (i=0; i<n; i++) {
    baij->ilen[i] = baij->imax[i];
  }
  PetscFunctionReturn(0);
}
EXTERN_C_END

#undef __FUNCT__
#define __FUNCT__ "MatSeqSBAIJSetColumnIndices"
/*@
    MatSeqSBAIJSetColumnIndices - Set the column indices for all the rows
       in the matrix.

  Input Parameters:
+  mat     - the SeqSBAIJ matrix
-  indices - the column indices

  Level: advanced

  Notes:
    This can be called if you have precomputed the nonzero structure of the
  matrix and want to provide it to the matrix object to improve the performance
  of the MatSetValues() operation.

    You MUST have set the correct numbers of nonzeros per row in the call to
  MatCreateSeqSBAIJ(), and the columns indices MUST be sorted.

    MUST be called before any calls to MatSetValues()

.seealso: MatCreateSeqSBAIJ
@*/
PetscErrorCode MatSeqSBAIJSetColumnIndices(Mat mat,PetscInt *indices)
{
  PetscErrorCode ierr,(*f)(Mat,PetscInt *);

  PetscFunctionBegin;
  PetscValidHeaderSpecific(mat,MAT_COOKIE,1);
  PetscValidPointer(indices,2);
  ierr = PetscObjectQueryFunction((PetscObject)mat,"MatSeqSBAIJSetColumnIndices_C",(void (**)(void))&f);CHKERRQ(ierr);
  if (f) {
    ierr = (*f)(mat,indices);CHKERRQ(ierr);
  } else {
    SETERRQ(PETSC_ERR_SUP,"Wrong type of matrix to set column indices");
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatSetUpPreallocation_SeqSBAIJ"
PetscErrorCode MatSetUpPreallocation_SeqSBAIJ(Mat A)
{
  PetscErrorCode ierr;

  PetscFunctionBegin;
  ierr =  MatSeqSBAIJSetPreallocation(A,1,PETSC_DEFAULT,0);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatGetArray_SeqSBAIJ"
PetscErrorCode MatGetArray_SeqSBAIJ(Mat A,PetscScalar *array[])
{
  Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ*)A->data;
  PetscFunctionBegin;
  *array = a->a;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatRestoreArray_SeqSBAIJ"
PetscErrorCode MatRestoreArray_SeqSBAIJ(Mat A,PetscScalar *array[])
{
  PetscFunctionBegin;
  PetscFunctionReturn(0);
}

#include "petscblaslapack.h"
#undef __FUNCT__
#define __FUNCT__ "MatAXPY_SeqSBAIJ"
PetscErrorCode MatAXPY_SeqSBAIJ(const PetscScalar *a,Mat X,Mat Y,MatStructure str)
{
  Mat_SeqSBAIJ   *x=(Mat_SeqSBAIJ *)X->data, *y=(Mat_SeqSBAIJ *)Y->data;
  PetscErrorCode ierr;
  PetscInt       i,bs=Y->bs,bs2,j;
  PetscBLASInt   bnz = (PetscBLASInt)x->nz,one = 1;

  PetscFunctionBegin;
  if (str == SAME_NONZERO_PATTERN) {
    BLASaxpy_(&bnz,(PetscScalar*)a,x->a,&one,y->a,&one);
  } else if (str == SUBSET_NONZERO_PATTERN) { /* nonzeros of X is a subset of Y's */
    if (y->xtoy && y->XtoY != X) {
      ierr = PetscFree(y->xtoy);CHKERRQ(ierr);
      ierr = MatDestroy(y->XtoY);CHKERRQ(ierr);
    }
    if (!y->xtoy) { /* get xtoy */
      ierr = MatAXPYGetxtoy_Private(x->mbs,x->i,x->j,PETSC_NULL, y->i,y->j,PETSC_NULL, &y->xtoy);CHKERRQ(ierr);
      y->XtoY = X;
    }
    bs2 = bs*bs;
    for (i=0; i<x->nz; i++) {
      j = 0;
      while (j < bs2){
        y->a[bs2*y->xtoy[i]+j] += (*a)*(x->a[bs2*i+j]);
        j++;
      }
    }
    PetscLogInfo(0,"MatAXPY_SeqSBAIJ: ratio of nnz_s(X)/nnz_s(Y): %D/%D = %g\n",bs2*x->nz,bs2*y->nz,(PetscReal)(bs2*x->nz)/(bs2*y->nz));
  } else {
    ierr = MatAXPY_Basic(a,X,Y,str);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatIsSymmetric_SeqSBAIJ"
PetscErrorCode MatIsSymmetric_SeqSBAIJ(Mat A,PetscReal tol,PetscTruth *flg)
{
  PetscFunctionBegin;
  *flg = PETSC_TRUE;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatIsStructurallySymmetric_SeqSBAIJ"
PetscErrorCode MatIsStructurallySymmetric_SeqSBAIJ(Mat A,PetscTruth *flg)
{
  PetscFunctionBegin;
  *flg = PETSC_TRUE;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatIsHermitian_SeqSBAIJ"
PetscErrorCode MatIsHermitian_SeqSBAIJ(Mat A,PetscTruth *flg)
{
  PetscFunctionBegin;
  *flg = PETSC_FALSE;
  PetscFunctionReturn(0);
}

/* -------------------------------------------------------------------*/
static struct _MatOps MatOps_Values = {MatSetValues_SeqSBAIJ,
       MatGetRow_SeqSBAIJ,
       MatRestoreRow_SeqSBAIJ,
       MatMult_SeqSBAIJ_N,
/* 4*/ MatMultAdd_SeqSBAIJ_N,
       MatMult_SeqSBAIJ_N,
       MatMultAdd_SeqSBAIJ_N,
       MatSolve_SeqSBAIJ_N,
       0,
       0,
/*10*/ 0,
       0,
       MatCholeskyFactor_SeqSBAIJ,
       MatRelax_SeqSBAIJ,
       MatTranspose_SeqSBAIJ,
/*15*/ MatGetInfo_SeqSBAIJ,
       MatEqual_SeqSBAIJ,
       MatGetDiagonal_SeqSBAIJ,
       MatDiagonalScale_SeqSBAIJ,
       MatNorm_SeqSBAIJ,
/*20*/ 0,
       MatAssemblyEnd_SeqSBAIJ,
       0,
       MatSetOption_SeqSBAIJ,
       MatZeroEntries_SeqSBAIJ,
/*25*/ 0,
       0,
       0,
       MatCholeskyFactorSymbolic_SeqSBAIJ,
       MatCholeskyFactorNumeric_SeqSBAIJ_N,
/*30*/ MatSetUpPreallocation_SeqSBAIJ,
       0,
       MatICCFactorSymbolic_SeqSBAIJ,
       MatGetArray_SeqSBAIJ,
       MatRestoreArray_SeqSBAIJ,
/*35*/ MatDuplicate_SeqSBAIJ,
       0,
       0,
       0,
       0,
/*40*/ MatAXPY_SeqSBAIJ,
       MatGetSubMatrices_SeqSBAIJ,
       MatIncreaseOverlap_SeqSBAIJ,
       MatGetValues_SeqSBAIJ,
       0,
/*45*/ MatPrintHelp_SeqSBAIJ,
       MatScale_SeqSBAIJ,
       0,
       0,
       0,
/*50*/ 0,
       MatGetRowIJ_SeqSBAIJ,
       MatRestoreRowIJ_SeqSBAIJ,
       0,
       0,
/*55*/ 0,
       0,
       0,
       0,
       MatSetValuesBlocked_SeqSBAIJ,
/*60*/ MatGetSubMatrix_SeqSBAIJ,
       0,
       0,
       MatGetPetscMaps_Petsc,
       0,
/*65*/ 0,
       0,
       0,
       0,
       0,
/*70*/ MatGetRowMax_SeqSBAIJ,
       0,
       0,
       0,
       0,
/*75*/ 0,
       0,
       0,
       0,
       0,
/*80*/ 0,
       0,
       0,
#if !defined(PETSC_USE_COMPLEX)
       MatGetInertia_SeqSBAIJ,
#else
       0,
#endif
       MatLoad_SeqSBAIJ,
/*85*/ MatIsSymmetric_SeqSBAIJ,
       MatIsHermitian_SeqSBAIJ,
       MatIsStructurallySymmetric_SeqSBAIJ,
       0,
       0,
/*90*/ 0,
       0,
       0,
       0,
       0,
/*95*/ 0,
       0,
       0,
       0};

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "MatStoreValues_SeqSBAIJ"
PetscErrorCode MatStoreValues_SeqSBAIJ(Mat mat)
{
  Mat_SeqSBAIJ   *aij = (Mat_SeqSBAIJ *)mat->data;
  PetscInt       nz = aij->i[mat->m]*mat->bs*aij->bs2;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  if (aij->nonew != 1) {
    SETERRQ(PETSC_ERR_ORDER,"Must call MatSetOption(A,MAT_NO_NEW_NONZERO_LOCATIONS);first");
  }

  /* allocate space for values if not already there */
  if (!aij->saved_values) {
    ierr = PetscMalloc((nz+1)*sizeof(PetscScalar),&aij->saved_values);CHKERRQ(ierr);
  }

  /* copy values over */
  ierr = PetscMemcpy(aij->saved_values,aij->a,nz*sizeof(PetscScalar));CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
EXTERN_C_END

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "MatRetrieveValues_SeqSBAIJ"
PetscErrorCode MatRetrieveValues_SeqSBAIJ(Mat mat)
{
  Mat_SeqSBAIJ   *aij = (Mat_SeqSBAIJ *)mat->data;
  PetscErrorCode ierr;
  PetscInt       nz = aij->i[mat->m]*mat->bs*aij->bs2;

  PetscFunctionBegin;
  if (aij->nonew != 1) {
    SETERRQ(PETSC_ERR_ORDER,"Must call MatSetOption(A,MAT_NO_NEW_NONZERO_LOCATIONS);first");
  }
  if (!aij->saved_values) {
    SETERRQ(PETSC_ERR_ORDER,"Must call MatStoreValues(A);first");
  }

  /* copy values over */
  ierr = PetscMemcpy(aij->a,aij->saved_values,nz*sizeof(PetscScalar));CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
EXTERN_C_END

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "MatSeqSBAIJSetPreallocation_SeqSBAIJ"
PetscErrorCode MatSeqSBAIJSetPreallocation_SeqSBAIJ(Mat B,PetscInt bs,PetscInt nz,PetscInt *nnz)
{
  Mat_SeqSBAIJ   *b = (Mat_SeqSBAIJ*)B->data;
  PetscErrorCode ierr;
  PetscInt       i,len,mbs,bs2;
  PetscTruth     flg;

  PetscFunctionBegin;
  B->preallocated = PETSC_TRUE;
  ierr = PetscOptionsGetInt(B->prefix,"-mat_block_size",&bs,PETSC_NULL);CHKERRQ(ierr);
  mbs  = B->m/bs;
  bs2  = bs*bs;

  if (mbs*bs != B->m) {
    SETERRQ(PETSC_ERR_ARG_SIZ,"Number rows, cols must be divisible by blocksize");
  }

  if (nz == PETSC_DEFAULT || nz == PETSC_DECIDE) nz = 3;
  if (nz < 0) SETERRQ1(PETSC_ERR_ARG_OUTOFRANGE,"nz cannot be less than 0: value %D",nz);
  if (nnz) {
    for (i=0; i<mbs; i++) {
      if (nnz[i] < 0) SETERRQ2(PETSC_ERR_ARG_OUTOFRANGE,"nnz cannot be less than 0: local row %D value %D",i,nnz[i]);
      if (nnz[i] > mbs) SETERRQ3(PETSC_ERR_ARG_OUTOFRANGE,"nnz cannot be greater than block row length: local row %D value %D rowlength %D",i,nnz[i],mbs);
    }
  }

  ierr    = PetscOptionsHasName(B->prefix,"-mat_no_unroll",&flg);CHKERRQ(ierr);
  if (!flg) {
    switch (bs) {
    case 1:
      B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_1;
      B->ops->solve           = MatSolve_SeqSBAIJ_1;
      B->ops->solves          = MatSolves_SeqSBAIJ_1;
      B->ops->solvetranspose  = MatSolve_SeqSBAIJ_1;
      B->ops->mult            = MatMult_SeqSBAIJ_1;
      B->ops->multadd         = MatMultAdd_SeqSBAIJ_1;
      break;
    case 2:
      B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_2;
      B->ops->solve           = MatSolve_SeqSBAIJ_2;
      B->ops->solvetranspose  = MatSolve_SeqSBAIJ_2;
      B->ops->mult            = MatMult_SeqSBAIJ_2;
      B->ops->multadd         = MatMultAdd_SeqSBAIJ_2;
      break;
    case 3:
      B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_3;
      B->ops->solve           = MatSolve_SeqSBAIJ_3;
      B->ops->solvetranspose  = MatSolve_SeqSBAIJ_3;
      B->ops->mult            = MatMult_SeqSBAIJ_3;
      B->ops->multadd         = MatMultAdd_SeqSBAIJ_3;
      break;
    case 4:
      B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_4;
      B->ops->solve           = MatSolve_SeqSBAIJ_4;
      B->ops->solvetranspose  = MatSolve_SeqSBAIJ_4;
      B->ops->mult            = MatMult_SeqSBAIJ_4;
      B->ops->multadd         = MatMultAdd_SeqSBAIJ_4;
      break;
    case 5:
      B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_5;
      B->ops->solve           = MatSolve_SeqSBAIJ_5;
      B->ops->solvetranspose  = MatSolve_SeqSBAIJ_5;
      B->ops->mult            = MatMult_SeqSBAIJ_5;
      B->ops->multadd         = MatMultAdd_SeqSBAIJ_5;
      break;
    case 6:
      B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_6;
      B->ops->solve           = MatSolve_SeqSBAIJ_6;
      B->ops->solvetranspose  = MatSolve_SeqSBAIJ_6;
      B->ops->mult            = MatMult_SeqSBAIJ_6;
      B->ops->multadd         = MatMultAdd_SeqSBAIJ_6;
      break;
    case 7:
      B->ops->choleskyfactornumeric = MatCholeskyFactorNumeric_SeqSBAIJ_7;
      B->ops->solve           = MatSolve_SeqSBAIJ_7;
      B->ops->solvetranspose  = MatSolve_SeqSBAIJ_7;
      B->ops->mult            = MatMult_SeqSBAIJ_7;
      B->ops->multadd         = MatMultAdd_SeqSBAIJ_7;
      break;
    }
  }

  b->mbs = mbs;
  b->nbs = mbs;
  ierr   = PetscMalloc((mbs+1)*sizeof(PetscInt),&b->imax);CHKERRQ(ierr);
  if (!nnz) {
    if (nz == PETSC_DEFAULT || nz == PETSC_DECIDE) nz = 5;
    else if (nz <= 0)        nz = 1;
    for (i=0; i<mbs; i++) {
      b->imax[i] = nz;
    }
    nz = nz*mbs; /* total nz */
  } else {
    nz = 0;
    for (i=0; i<mbs; i++) {b->imax[i] = nnz[i]; nz += nnz[i];}
  }
  /* nz=(nz+mbs)/2; */ /* total diagonal and superdiagonal nonzero blocks */

  /* allocate the matrix space */
  len  = nz*sizeof(PetscInt) + nz*bs2*sizeof(MatScalar) + (B->m+1)*sizeof(PetscInt);
  ierr = PetscMalloc(len,&b->a);CHKERRQ(ierr);
  ierr = PetscMemzero(b->a,nz*bs2*sizeof(MatScalar));CHKERRQ(ierr);
  b->j = (PetscInt*)(b->a + nz*bs2);
  ierr = PetscMemzero(b->j,nz*sizeof(PetscInt));CHKERRQ(ierr);
  b->i = b->j + nz;
  b->singlemalloc = PETSC_TRUE;

  /* pointer to beginning of each row */
  b->i[0] = 0;
  for (i=1; i<mbs+1; i++) {
    b->i[i] = b->i[i-1] + b->imax[i-1];
  }

  /* b->ilen will count nonzeros in each block row so far. */
  ierr = PetscMalloc((mbs+1)*sizeof(PetscInt),&b->ilen);CHKERRQ(ierr);
  ierr = PetscLogObjectMemory(B,len+2*(mbs+1)*sizeof(PetscInt)+sizeof(struct _p_Mat)+sizeof(Mat_SeqSBAIJ));CHKERRQ(ierr);
  for (i=0; i<mbs; i++) { b->ilen[i] = 0;}

  B->bs               = bs;
  b->bs2              = bs2;
  b->nz             = 0;
  b->maxnz          = nz*bs2;

  b->inew             = 0;
  b->jnew             = 0;
  b->anew             = 0;
  b->a2anew           = 0;
  b->permute          = PETSC_FALSE;
  PetscFunctionReturn(0);
}
EXTERN_C_END

EXTERN_C_BEGIN
EXTERN PetscErrorCode MatConvert_SeqSBAIJ_SeqAIJ(Mat,const MatType,MatReuse,Mat*);
EXTERN PetscErrorCode MatConvert_SeqSBAIJ_SeqBAIJ(Mat,const MatType,MatReuse,Mat*);
EXTERN_C_END

/*MC
   MATSEQSBAIJ - MATSEQSBAIJ = "seqsbaij" - A matrix type to be used for sequential symmetric block sparse matrices,
   based on block compressed sparse row format.  Only the upper triangular portion of the matrix is stored.

   Options Database Keys:
. -mat_type seqsbaij - sets the matrix type to "seqsbaij" during a call to MatSetFromOptions()

  Level: beginner

.seealso: MatCreateSeqSBAIJ
M*/

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "MatCreate_SeqSBAIJ"
PetscErrorCode MatCreate_SeqSBAIJ(Mat B)
{
  Mat_SeqSBAIJ   *b;
  PetscErrorCode ierr;
  PetscMPIInt    size;

  PetscFunctionBegin;
  ierr = MPI_Comm_size(B->comm,&size);CHKERRQ(ierr);
  if (size > 1) SETERRQ(PETSC_ERR_ARG_WRONG,"Comm must be of size 1");
  B->m = B->M = PetscMax(B->m,B->M);
  B->n = B->N = PetscMax(B->n,B->N);

  ierr    = PetscNew(Mat_SeqSBAIJ,&b);CHKERRQ(ierr);
  B->data = (void*)b;
  ierr    = PetscMemcpy(B->ops,&MatOps_Values,sizeof(struct _MatOps));CHKERRQ(ierr);
  B->ops->destroy     = MatDestroy_SeqSBAIJ;
  B->ops->view        = MatView_SeqSBAIJ;
  B->factor           = 0;
  B->lupivotthreshold = 1.0;
  B->mapping          = 0;
  b->row              = 0;
  b->icol             = 0;
  b->reallocs         = 0;
  b->saved_values     = 0;

  ierr = PetscMapCreateMPI(B->comm,B->m,B->M,&B->rmap);CHKERRQ(ierr);
  ierr = PetscMapCreateMPI(B->comm,B->n,B->N,&B->cmap);CHKERRQ(ierr);

  b->sorted           = PETSC_FALSE;
  b->roworiented      = PETSC_TRUE;
  b->nonew            = 0;
  b->diag             = 0;
  b->solve_work       = 0;
  b->mult_work        = 0;
  B->spptr            = 0;
  b->keepzeroedrows   = PETSC_FALSE;
  b->xtoy             = 0;
  b->XtoY             = 0;

  b->inew             = 0;
  b->jnew             = 0;
  b->anew             = 0;
  b->a2anew           = 0;
  b->permute          = PETSC_FALSE;

  ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatStoreValues_C",
                                     "MatStoreValues_SeqSBAIJ",
                                     MatStoreValues_SeqSBAIJ);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatRetrieveValues_C",
                                     "MatRetrieveValues_SeqSBAIJ",
                                     (void*)MatRetrieveValues_SeqSBAIJ);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatSeqSBAIJSetColumnIndices_C",
                                     "MatSeqSBAIJSetColumnIndices_SeqSBAIJ",
                                     MatSeqSBAIJSetColumnIndices_SeqSBAIJ);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatConvert_seqsbaij_seqaij_C",
                                     "MatConvert_SeqSBAIJ_SeqAIJ",
                                      MatConvert_SeqSBAIJ_SeqAIJ);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatConvert_seqsbaij_seqbaij_C",
                                     "MatConvert_SeqSBAIJ_SeqBAIJ",
                                      MatConvert_SeqSBAIJ_SeqBAIJ);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatSeqSBAIJSetPreallocation_C",
                                     "MatSeqSBAIJSetPreallocation_SeqSBAIJ",
                                     MatSeqSBAIJSetPreallocation_SeqSBAIJ);CHKERRQ(ierr);

  B->symmetric                  = PETSC_TRUE;
  B->structurally_symmetric     = PETSC_TRUE;
  B->symmetric_set              = PETSC_TRUE;
  B->structurally_symmetric_set = PETSC_TRUE;
  PetscFunctionReturn(0);
}
EXTERN_C_END

#undef __FUNCT__
#define __FUNCT__ "MatSeqSBAIJSetPreallocation"
/*@C
   MatSeqSBAIJSetPreallocation - Creates a sparse symmetric matrix in block AIJ (block
   compressed row) format.  For good matrix assembly performance the
   user should preallocate the matrix storage by setting the parameter nz
   (or the array nnz).  By setting these parameters accurately, performance
   during matrix assembly can be increased by more than a factor of 50.

   Collective on Mat

   Input Parameters:
+  A - the symmetric matrix
.  bs - size of block
.  nz - number of block nonzeros per block row (same for all rows)
-  nnz - array containing the number of block nonzeros in the upper triangular plus
         diagonal portion of each block (possibly different for each block row) or PETSC_NULL

   Options Database Keys:
.   -mat_no_unroll - uses code that does not unroll the loops in the
                     block calculations (much slower)
.    -mat_block_size - size of the blocks to use

   Level: intermediate

   Notes:
   Specify the preallocated storage with either nz or nnz (not both).
   Set nz=PETSC_DEFAULT and nnz=PETSC_NULL for PETSc to control dynamic memory
   allocation.  For additional details, see the users manual chapter on
   matrices.

   If the nnz parameter is given then the nz parameter is ignored


.seealso: MatCreate(), MatCreateSeqAIJ(), MatSetValues(), MatCreateMPISBAIJ()
@*/
PetscErrorCode MatSeqSBAIJSetPreallocation(Mat B,PetscInt bs,PetscInt nz,const PetscInt nnz[])
{
  PetscErrorCode ierr,(*f)(Mat,PetscInt,PetscInt,const PetscInt[]);

  PetscFunctionBegin;
  ierr = PetscObjectQueryFunction((PetscObject)B,"MatSeqSBAIJSetPreallocation_C",(void (**)(void))&f);CHKERRQ(ierr);
  if (f) {
    ierr = (*f)(B,bs,nz,nnz);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatCreateSeqSBAIJ"
/*@C
   MatCreateSeqSBAIJ - Creates a sparse symmetric matrix in block AIJ (block
   compressed row) format.  For good matrix assembly performance the
   user should preallocate the matrix storage by setting the parameter nz
   (or the array nnz).  By setting these parameters accurately, performance
   during matrix assembly can be increased by more than a factor of 50.

   Collective on MPI_Comm

   Input Parameters:
+  comm - MPI communicator, set to PETSC_COMM_SELF
.  bs - size of block
.  m - number of rows, or number of columns
.  nz - number of block nonzeros per block row (same for all rows)
-  nnz - array containing the number of block nonzeros in the upper triangular plus
         diagonal portion of each block (possibly different for each block row) or PETSC_NULL

   Output Parameter:
.  A - the symmetric matrix

   Options Database Keys:
.   -mat_no_unroll - uses code that does not unroll the loops in the
                     block calculations (much slower)
.    -mat_block_size - size of the blocks to use

   Level: intermediate

   Notes:

   Specify the preallocated storage with either nz or nnz (not both).
   Set nz=PETSC_DEFAULT and nnz=PETSC_NULL for PETSc to control dynamic memory
   allocation.  For additional details, see the users manual chapter on
   matrices.

   If the nnz parameter is given then the nz parameter is ignored

.seealso: MatCreate(), MatCreateSeqAIJ(), MatSetValues(), MatCreateMPISBAIJ()
@*/
PetscErrorCode MatCreateSeqSBAIJ(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt nz,const PetscInt nnz[],Mat *A)
{
  PetscErrorCode ierr;

  PetscFunctionBegin;
  ierr = MatCreate(comm,m,n,m,n,A);CHKERRQ(ierr);
  ierr = MatSetType(*A,MATSEQSBAIJ);CHKERRQ(ierr);
  ierr = MatSeqSBAIJSetPreallocation(*A,bs,nz,nnz);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatDuplicate_SeqSBAIJ"
PetscErrorCode MatDuplicate_SeqSBAIJ(Mat A,MatDuplicateOption cpvalues,Mat *B)
{
  Mat            C;
  Mat_SeqSBAIJ   *c,*a = (Mat_SeqSBAIJ*)A->data;
  PetscErrorCode ierr;
  PetscInt       i,len,mbs = a->mbs,nz = a->nz,bs2 =a->bs2;

  PetscFunctionBegin;
  if (a->i[mbs] != nz) SETERRQ(PETSC_ERR_PLIB,"Corrupt matrix");

  *B = 0;
  ierr = MatCreate(A->comm,A->m,A->n,A->m,A->n,&C);CHKERRQ(ierr);
  ierr = MatSetType(C,A->type_name);CHKERRQ(ierr);
  ierr = PetscMemcpy(C->ops,A->ops,sizeof(struct _MatOps));CHKERRQ(ierr);
  c    = (Mat_SeqSBAIJ*)C->data;

  C->preallocated   = PETSC_TRUE;
  C->factor         = A->factor;
  c->row            = 0;
  c->icol           = 0;
  c->saved_values   = 0;
  c->keepzeroedrows = a->keepzeroedrows;
  C->assembled      = PETSC_TRUE;

  C->M    = A->M;
  C->N    = A->N;
  C->bs   = A->bs;
  c->bs2  = a->bs2;
  c->mbs  = a->mbs;
  c->nbs  = a->nbs;

  ierr = PetscMalloc((mbs+1)*sizeof(PetscInt),&c->imax);CHKERRQ(ierr);
  ierr = PetscMalloc((mbs+1)*sizeof(PetscInt),&c->ilen);CHKERRQ(ierr);
  for (i=0; i<mbs; i++) {
    c->imax[i] = a->imax[i];
    c->ilen[i] = a->ilen[i];
  }

  /* allocate the matrix space */
  c->singlemalloc = PETSC_TRUE;
  len  = (mbs+1)*sizeof(PetscInt) + nz*(bs2*sizeof(MatScalar) + sizeof(PetscInt));
  ierr = PetscMalloc(len,&c->a);CHKERRQ(ierr);
  c->j = (PetscInt*)(c->a + nz*bs2);
  c->i = c->j + nz;
  ierr = PetscMemcpy(c->i,a->i,(mbs+1)*sizeof(PetscInt));CHKERRQ(ierr);
  if (mbs > 0) {
    ierr = PetscMemcpy(c->j,a->j,nz*sizeof(PetscInt));CHKERRQ(ierr);
    if (cpvalues == MAT_COPY_VALUES) {
      ierr = PetscMemcpy(c->a,a->a,bs2*nz*sizeof(MatScalar));CHKERRQ(ierr);
    } else {
      ierr = PetscMemzero(c->a,bs2*nz*sizeof(MatScalar));CHKERRQ(ierr);
    }
  }

  ierr = PetscLogObjectMemory(C,len+2*(mbs+1)*sizeof(PetscInt)+sizeof(struct _p_Mat)+sizeof(Mat_SeqSBAIJ));CHKERRQ(ierr);
  c->sorted      = a->sorted;
  c->roworiented = a->roworiented;
  c->nonew       = a->nonew;

  if (a->diag) {
    ierr = PetscMalloc((mbs+1)*sizeof(PetscInt),&c->diag);CHKERRQ(ierr);
    ierr = PetscLogObjectMemory(C,(mbs+1)*sizeof(PetscInt));CHKERRQ(ierr);
    for (i=0; i<mbs; i++) {
      c->diag[i] = a->diag[i];
    }
  } else c->diag        = 0;
  c->nz               = a->nz;
  c->maxnz            = a->maxnz;
  c->solve_work         = 0;
  c->mult_work          = 0;
  *B = C;
  ierr = PetscFListDuplicate(A->qlist,&C->qlist);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatLoad_SeqSBAIJ"
PetscErrorCode MatLoad_SeqSBAIJ(PetscViewer viewer,const MatType type,Mat *A)
{
  Mat_SeqSBAIJ   *a;
  Mat            B;
  PetscErrorCode ierr;
  int            fd;
  PetscMPIInt    size;
  PetscInt       i,nz,header[4],*rowlengths=0,M,N,bs=1;
  PetscInt       *mask,mbs,*jj,j,rowcount,nzcount,k,*s_browlengths,maskcount;
  PetscInt       kmax,jcount,block,idx,point,nzcountb,extra_rows;
  PetscInt       *masked,nmask,tmp,bs2,ishift;
  PetscScalar    *aa;
  MPI_Comm       comm = ((PetscObject)viewer)->comm;

  PetscFunctionBegin;
  ierr = PetscOptionsGetInt(PETSC_NULL,"-matload_block_size",&bs,PETSC_NULL);CHKERRQ(ierr);
  bs2  = bs*bs;

  ierr = MPI_Comm_size(comm,&size);CHKERRQ(ierr);
  if (size > 1) SETERRQ(PETSC_ERR_ARG_WRONG,"view must have one processor");
  ierr = PetscViewerBinaryGetDescriptor(viewer,&fd);CHKERRQ(ierr);
  ierr = PetscBinaryRead(fd,header,4,PETSC_INT);CHKERRQ(ierr);
  if (header[0] != MAT_FILE_COOKIE) SETERRQ(PETSC_ERR_FILE_UNEXPECTED,"not Mat object");
  M = header[1]; N = header[2]; nz = header[3];

  if (header[3] < 0) {
    SETERRQ(PETSC_ERR_FILE_UNEXPECTED,"Matrix stored in special format, cannot load as SeqSBAIJ");
  }

  if (M != N) SETERRQ(PETSC_ERR_SUP,"Can only do square matrices");

  /*
     This code adds extra rows to make sure the number of rows is
    divisible by the blocksize
  */
  mbs        = M/bs;
  extra_rows = bs - M + bs*(mbs);
  if (extra_rows == bs) extra_rows = 0;
  else                  mbs++;
  if (extra_rows) {
    PetscLogInfo(0,"MatLoad_SeqSBAIJ:Padding loaded matrix to match blocksize\n");
  }

  /* read in row lengths */
  ierr = PetscMalloc((M+extra_rows)*sizeof(PetscInt),&rowlengths);CHKERRQ(ierr);
  ierr = PetscBinaryRead(fd,rowlengths,M,PETSC_INT);CHKERRQ(ierr);
  for (i=0; i<extra_rows; i++) rowlengths[M+i] = 1;

  /* read in column indices */
  ierr = PetscMalloc((nz+extra_rows)*sizeof(PetscInt),&jj);CHKERRQ(ierr);
  ierr = PetscBinaryRead(fd,jj,nz,PETSC_INT);CHKERRQ(ierr);
  for (i=0; i<extra_rows; i++) jj[nz+i] = M+i;

  /* loop over row lengths determining block row lengths */
  ierr     = PetscMalloc(mbs*sizeof(PetscInt),&s_browlengths);CHKERRQ(ierr);
  ierr     = PetscMemzero(s_browlengths,mbs*sizeof(PetscInt));CHKERRQ(ierr);
  ierr     = PetscMalloc(2*mbs*sizeof(PetscInt),&mask);CHKERRQ(ierr);
  ierr     = PetscMemzero(mask,mbs*sizeof(PetscInt));CHKERRQ(ierr);
  masked   = mask + mbs;
  rowcount = 0; nzcount = 0;
  for (i=0; i<mbs; i++) {
    nmask = 0;
    for (j=0; j<bs; j++) {
      kmax = rowlengths[rowcount];
      for (k=0; k<kmax; k++) {
        tmp = jj[nzcount++]/bs;   /* block col. index */
        if (!mask[tmp] && tmp >= i) {masked[nmask++] = tmp; mask[tmp] = 1;}
      }
      rowcount++;
    }
    s_browlengths[i] += nmask;

    /* zero out the mask elements we set */
    for (j=0; j<nmask; j++) mask[masked[j]] = 0;
  }

  /* create our matrix */
  ierr = MatCreate(comm,M+extra_rows,N+extra_rows,M+extra_rows,N+extra_rows,&B);CHKERRQ(ierr);
  ierr = MatSetType(B,type);CHKERRQ(ierr);
  ierr = MatSeqSBAIJSetPreallocation(B,bs,0,s_browlengths);CHKERRQ(ierr);
  a = (Mat_SeqSBAIJ*)B->data;

  /* set matrix "i" values */
  a->i[0] = 0;
  for (i=1; i<= mbs; i++) {
    a->i[i]      = a->i[i-1] + s_browlengths[i-1];
    a->ilen[i-1] = s_browlengths[i-1];
  }
  a->nz = a->i[mbs];

  /* read in nonzero values */
  ierr = PetscMalloc((nz+extra_rows)*sizeof(PetscScalar),&aa);CHKERRQ(ierr);
  ierr = PetscBinaryRead(fd,aa,nz,PETSC_SCALAR);CHKERRQ(ierr);
  for (i=0; i<extra_rows; i++) aa[nz+i] = 1.0;

  /* set "a" and "j" values into matrix */
  nzcount = 0; jcount = 0;
  for (i=0; i<mbs; i++) {
    nzcountb = nzcount;
    nmask    = 0;
    for (j=0; j<bs; j++) {
      kmax = rowlengths[i*bs+j];
      for (k=0; k<kmax; k++) {
        tmp = jj[nzcount++]/bs; /* block col. index */
        if (!mask[tmp] && tmp >= i) { masked[nmask++] = tmp; mask[tmp] = 1;}
      }
    }
    /* sort the masked values */
    ierr = PetscSortInt(nmask,masked);CHKERRQ(ierr);

    /* set "j" values into matrix */
    maskcount = 1;
    for (j=0; j<nmask; j++) {
      a->j[jcount++]  = masked[j];
      mask[masked[j]] = maskcount++;
    }

    /* set "a" values into matrix */
    ishift = bs2*a->i[i];
    for (j=0; j<bs; j++) {
      kmax = rowlengths[i*bs+j];
      for (k=0; k<kmax; k++) {
        tmp       = jj[nzcountb]/bs ; /* block col. index */
        if (tmp >= i){
          block     = mask[tmp] - 1;
          point     = jj[nzcountb] - bs*tmp;
          idx       = ishift + bs2*block + j + bs*point;
          a->a[idx] = aa[nzcountb];
        }
        nzcountb++;
      }
    }
    /* zero out the mask elements we set */
    for (j=0; j<nmask; j++) mask[masked[j]] = 0;
  }
  if (jcount != a->nz) SETERRQ(PETSC_ERR_FILE_UNEXPECTED,"Bad binary matrix");

  ierr = PetscFree(rowlengths);CHKERRQ(ierr);
  ierr = PetscFree(s_browlengths);CHKERRQ(ierr);
  ierr = PetscFree(aa);CHKERRQ(ierr);
  ierr = PetscFree(jj);CHKERRQ(ierr);
  ierr = PetscFree(mask);CHKERRQ(ierr);

  ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
  ierr = MatView_Private(B);CHKERRQ(ierr);
  *A = B;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatRelax_SeqSBAIJ"
PetscErrorCode MatRelax_SeqSBAIJ(Mat A,Vec bb,PetscReal omega,MatSORType flag,PetscReal fshift,PetscInt its,PetscInt lits,Vec xx)
{
  Mat_SeqSBAIJ   *a = (Mat_SeqSBAIJ*)A->data;
  MatScalar      *aa=a->a,*v,*v1;
  PetscScalar    *x,*b,*t,sum,d;
  PetscErrorCode ierr;
  PetscInt       m=a->mbs,bs=A->bs,*ai=a->i,*aj=a->j;
  PetscInt       nz,nz1,*vj,*vj1,i;

  PetscFunctionBegin;
  its = its*lits;
  if (its <= 0) SETERRQ2(PETSC_ERR_ARG_WRONG,"Relaxation requires global its %D and local its %D both positive",its,lits);

  if (bs > 1)
    SETERRQ(PETSC_ERR_SUP,"SSOR for block size > 1 is not yet implemented");

  ierr = VecGetArray(xx,&x);CHKERRQ(ierr);
  if (xx != bb) {
    ierr = VecGetArray(bb,&b);CHKERRQ(ierr);
  } else {
    b = x;
  }

  ierr = PetscMalloc(m*sizeof(PetscScalar),&t);CHKERRQ(ierr);

  if (flag & SOR_ZERO_INITIAL_GUESS) {
    if (flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP){
      for (i=0; i<m; i++)
        t[i] = b[i];

      for (i=0; i<m; i++){
        d  = *(aa + ai[i]);  /* diag[i] */
        v  = aa + ai[i] + 1;
        vj = aj + ai[i] + 1;
        nz = ai[i+1] - ai[i] - 1;
        x[i] = omega*t[i]/d;
        while (nz--) t[*vj++] -= x[i]*(*v++); /* update rhs */
        PetscLogFlops(2*nz-1);
      }
    }

    if (flag & SOR_BACKWARD_SWEEP || flag & SOR_LOCAL_BACKWARD_SWEEP){
      for (i=0; i<m; i++)
        t[i] = b[i];

      for (i=0; i<m-1; i++){  /* update rhs */
        v  = aa + ai[i] + 1;
        vj = aj + ai[i] + 1;
        nz = ai[i+1] - ai[i] - 1;
        while (nz--) t[*vj++] -= x[i]*(*v++);
        PetscLogFlops(2*nz-1);
      }
      for (i=m-1; i>=0; i--){
        d  = *(aa + ai[i]);
        v  = aa + ai[i] + 1;
        vj = aj + ai[i] + 1;
        nz = ai[i+1] - ai[i] - 1;
        sum = t[i];
        while (nz--) sum -= x[*vj++]*(*v++);
        PetscLogFlops(2*nz-1);
        x[i] =   (1-omega)*x[i] + omega*sum/d;
      }
    }
    its--;
  }

  while (its--) {
    /*
       forward sweep:
       for i=0,...,m-1:
         sum[i] = (b[i] - U(i,:)x )/d[i];
         x[i]   = (1-omega)x[i] + omega*sum[i];
         b      = b - x[i]*U^T(i,:);

    */
    if (flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP){
      for (i=0; i<m; i++)
        t[i] = b[i];

      for (i=0; i<m; i++){
        d  = *(aa + ai[i]);  /* diag[i] */
        v  = aa + ai[i] + 1; v1=v;
        vj = aj + ai[i] + 1; vj1=vj;
        nz = ai[i+1] - ai[i] - 1; nz1=nz;
        sum = t[i];
        while (nz1--) sum -= (*v1++)*x[*vj1++];
        x[i] = (1-omega)*x[i] + omega*sum/d;
        while (nz--) t[*vj++] -= x[i]*(*v++);
        PetscLogFlops(4*nz-2);
      }
    }

  if (flag & SOR_BACKWARD_SWEEP || flag & SOR_LOCAL_BACKWARD_SWEEP){
      /*
       backward sweep:
       b = b - x[i]*U^T(i,:), i=0,...,n-2
       for i=m-1,...,0:
         sum[i] = (b[i] - U(i,:)x )/d[i];
         x[i]   = (1-omega)x[i] + omega*sum[i];
      */
      for (i=0; i<m; i++)
        t[i] = b[i];

      for (i=0; i<m-1; i++){  /* update rhs */
        v  = aa + ai[i] + 1;
        vj = aj + ai[i] + 1;
        nz = ai[i+1] - ai[i] - 1;
        while (nz--) t[*vj++] -= x[i]*(*v++);
        PetscLogFlops(2*nz-1);
      }
      for (i=m-1; i>=0; i--){
        d  = *(aa + ai[i]);
        v  = aa + ai[i] + 1;
        vj = aj + ai[i] + 1;
        nz = ai[i+1] - ai[i] - 1;
        sum = t[i];
        while (nz--) sum -= x[*vj++]*(*v++);
        PetscLogFlops(2*nz-1);
        x[i] =   (1-omega)*x[i] + omega*sum/d;
      }
    }
  }

  ierr = PetscFree(t);CHKERRQ(ierr);
  ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr);
  if (bb != xx) {
    ierr = VecRestoreArray(bb,&b);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}