Actual source code: baijsolvnat1.c
petsc-3.10.5 2019-03-28
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      1:  #include <../src/mat/impls/baij/seq/baij.h>
      2:  #include <petsc/private/kernels/blockinvert.h>

      5: /*
      6:       Special case where the matrix was ILU(0) factored in the natural
      7:    ordering. This eliminates the need for the column and row permutation.
      8: */
      9: PetscErrorCode MatSolve_SeqBAIJ_1_NaturalOrdering_inplace(Mat A,Vec bb,Vec xx)
     10: {
     11:   Mat_SeqBAIJ       *a = (Mat_SeqBAIJ*)A->data;
     12:   const PetscInt    n  = a->mbs,*vi,*ai=a->i,*aj=a->j,*diag=a->diag;
     13:   PetscErrorCode    ierr;
     14:   const MatScalar   *aa=a->a,*v;
     15:   PetscScalar       *x;
     16:   const PetscScalar *b;
     17:   PetscScalar       s1,x1;
     18:   PetscInt          jdx,idt,idx,nz,i;

     21:   VecGetArrayRead(bb,&b);
     22:   VecGetArray(xx,&x);

     24:   /* forward solve the lower triangular */
     25:   idx  = 0;
     26:   x[0] = b[0];
     27:   for (i=1; i<n; i++) {
     28:     v    =  aa      + ai[i];
     29:     vi   =  aj      + ai[i];
     30:     nz   =  diag[i] - ai[i];
     31:     idx +=  1;
     32:     s1   =  b[idx];
     33:     while (nz--) {
     34:       jdx = *vi++;
     35:       x1  = x[jdx];
     36:       s1 -= v[0]*x1;
     37:       v  += 1;
     38:     }
     39:     x[idx] = s1;
     40:   }
     41:   /* backward solve the upper triangular */
     42:   for (i=n-1; i>=0; i--) {
     43:     v   = aa + diag[i] + 1;
     44:     vi  = aj + diag[i] + 1;
     45:     nz  = ai[i+1] - diag[i] - 1;
     46:     idt = i;
     47:     s1  = x[idt];
     48:     while (nz--) {
     49:       idx = *vi++;
     50:       x1  = x[idx];
     51:       s1 -= v[0]*x1;
     52:       v  += 1;
     53:     }
     54:     v      = aa +  diag[i];
     55:     x[idt] = v[0]*s1;
     56:   }
     57:   VecRestoreArrayRead(bb,&b);
     58:   VecRestoreArray(xx,&x);
     59:   PetscLogFlops(2.0*(a->nz) - A->cmap->n);
     60:   return(0);
     61: }

     64: PetscErrorCode MatForwardSolve_SeqBAIJ_1_NaturalOrdering(Mat A,Vec bb,Vec xx)
     65: {
     66:   Mat_SeqBAIJ       *a = (Mat_SeqBAIJ*)A->data;
     67:   PetscErrorCode    ierr;
     68:   const PetscInt    n = a->mbs,*ai = a->i,*aj = a->j,*vi;
     69:   PetscScalar       *x,sum;
     70:   const PetscScalar *b;
     71:   const MatScalar   *aa = a->a,*v;
     72:   PetscInt          i,nz;

     75:   if (!n) return(0);

     77:   VecGetArrayRead(bb,&b);
     78:   VecGetArray(xx,&x);

     80:   /* forward solve the lower triangular */
     81:   x[0] = b[0];
     82:   v    = aa;
     83:   vi   = aj;
     84:   for (i=1; i<n; i++) {
     85:     nz  = ai[i+1] - ai[i];
     86:     sum = b[i];
     87:     PetscSparseDenseMinusDot(sum,x,v,vi,nz);
     88:     v   += nz;
     89:     vi  += nz;
     90:     x[i] = sum;
     91:   }
     92:   PetscLogFlops(a->nz - A->cmap->n);
     93:   VecRestoreArrayRead(bb,&b);
     94:   VecRestoreArray(xx,&x);
     95:   return(0);
     96: }

     98: PetscErrorCode MatBackwardSolve_SeqBAIJ_1_NaturalOrdering(Mat A,Vec bb,Vec xx)
     99: {
    100:   Mat_SeqBAIJ       *a = (Mat_SeqBAIJ*)A->data;
    101:   PetscErrorCode    ierr;
    102:   const PetscInt    n = a->mbs,*aj = a->j,*adiag = a->diag,*vi;
    103:   PetscScalar       *x,sum;
    104:   const PetscScalar *b;
    105:   const MatScalar   *aa = a->a,*v;
    106:   PetscInt          i,nz;

    109:   if (!n) return(0);

    111:   VecGetArrayRead(bb,&b);
    112:   VecGetArray(xx,&x);

    114:   /* backward solve the upper triangular */
    115:   for (i=n-1; i>=0; i--) {
    116:     v   = aa + adiag[i+1] + 1;
    117:     vi  = aj + adiag[i+1] + 1;
    118:     nz  = adiag[i] - adiag[i+1]-1;
    119:     sum = b[i];
    120:     PetscSparseDenseMinusDot(sum,x,v,vi,nz);
    121:     x[i] = sum*v[nz]; /* x[i]=aa[adiag[i]]*sum; v++; */
    122:   }

    124:   PetscLogFlops(2.0*a->nz - A->cmap->n);
    125:   VecRestoreArrayRead(bb,&b);
    126:   VecRestoreArray(xx,&x);
    127:   return(0);
    128: }

    130: PetscErrorCode MatSolve_SeqBAIJ_1_NaturalOrdering(Mat A,Vec bb,Vec xx)
    131: {
    132:   Mat_SeqBAIJ       *a = (Mat_SeqBAIJ*)A->data;
    133:   PetscErrorCode    ierr;
    134:   const PetscInt    n = a->mbs,*ai = a->i,*aj = a->j,*adiag = a->diag,*vi;
    135:   PetscScalar       *x,sum;
    136:   const PetscScalar *b;
    137:   const MatScalar   *aa = a->a,*v;
    138:   PetscInt          i,nz;

    141:   if (!n) return(0);

    143:   VecGetArrayRead(bb,&b);
    144:   VecGetArray(xx,&x);

    146:   /* forward solve the lower triangular */
    147:   x[0] = b[0];
    148:   v    = aa;
    149:   vi   = aj;
    150:   for (i=1; i<n; i++) {
    151:     nz  = ai[i+1] - ai[i];
    152:     sum = b[i];
    153:     PetscSparseDenseMinusDot(sum,x,v,vi,nz);
    154:     v   += nz;
    155:     vi  += nz;
    156:     x[i] = sum;
    157:   }

    159:   /* backward solve the upper triangular */
    160:   for (i=n-1; i>=0; i--) {
    161:     v   = aa + adiag[i+1] + 1;
    162:     vi  = aj + adiag[i+1] + 1;
    163:     nz  = adiag[i] - adiag[i+1]-1;
    164:     sum = x[i];
    165:     PetscSparseDenseMinusDot(sum,x,v,vi,nz);
    166:     x[i] = sum*v[nz]; /* x[i]=aa[adiag[i]]*sum; v++; */
    167:   }

    169:   PetscLogFlops(2.0*a->nz - A->cmap->n);
    170:   VecRestoreArrayRead(bb,&b);
    171:   VecRestoreArray(xx,&x);
    172:   return(0);
    173: }