Actual source code: dgefa7.c

      1: /*
      2:       Inverts 7 by 7 matrix using gaussian elimination with partial pivoting.

      4:        Used by the sparse factorization routines in
      5:      src/mat/impls/baij/seq

      7:        This is a combination of the Linpack routines
      8:     dgefa() and dgedi() specialized for a size of 7.

     10: */
     11: #include <petscsys.h>

     13: PETSC_EXTERN PetscErrorCode PetscKernel_A_gets_inverse_A_7(MatScalar *a, PetscReal shift, PetscBool allowzeropivot, PetscBool *zeropivotdetected)
     14: {
     15:   PetscInt   i__2, i__3, kp1, j, k, l, ll, i, ipvt[7], kb, k3;
     16:   PetscInt   k4, j3;
     17:   MatScalar *aa, *ax, *ay, work[49], stmp;
     18:   MatReal    tmp, max;

     20:   PetscFunctionBegin;
     21:   if (zeropivotdetected) *zeropivotdetected = PETSC_FALSE;
     22:   shift = .25 * shift * (1.e-12 + PetscAbsScalar(a[0]) + PetscAbsScalar(a[8]) + PetscAbsScalar(a[16]) + PetscAbsScalar(a[24]) + PetscAbsScalar(a[32]) + PetscAbsScalar(a[40]) + PetscAbsScalar(a[48]));

     24:   /* Parameter adjustments */
     25:   a -= 8;

     27:   for (k = 1; k <= 6; ++k) {
     28:     kp1 = k + 1;
     29:     k3  = 7 * k;
     30:     k4  = k3 + k;

     32:     /* find l = pivot index */
     33:     i__2 = 8 - k;
     34:     aa   = &a[k4];
     35:     max  = PetscAbsScalar(aa[0]);
     36:     l    = 1;
     37:     for (ll = 1; ll < i__2; ll++) {
     38:       tmp = PetscAbsScalar(aa[ll]);
     39:       if (tmp > max) {
     40:         max = tmp;
     41:         l   = ll + 1;
     42:       }
     43:     }
     44:     l += k - 1;
     45:     ipvt[k - 1] = l;

     47:     if (a[l + k3] == 0.0) {
     48:       if (shift == 0.0) {
     49:         if (allowzeropivot) {
     50:           PetscCall(PetscInfo(NULL, "Zero pivot, row %" PetscInt_FMT "\n", k - 1));
     51:           if (zeropivotdetected) *zeropivotdetected = PETSC_TRUE;
     52:         } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_MAT_LU_ZRPVT, "Zero pivot, row %" PetscInt_FMT, k - 1);
     53:       } else {
     54:         /* SHIFT is applied to SINGLE diagonal entry; does this make any sense? */
     55:         a[l + k3] = shift;
     56:       }
     57:     }

     59:     /* interchange if necessary */
     60:     if (l != k) {
     61:       stmp      = a[l + k3];
     62:       a[l + k3] = a[k4];
     63:       a[k4]     = stmp;
     64:     }

     66:     /* compute multipliers */
     67:     stmp = -1. / a[k4];
     68:     i__2 = 7 - k;
     69:     aa   = &a[1 + k4];
     70:     for (ll = 0; ll < i__2; ll++) aa[ll] *= stmp;

     72:     /* row elimination with column indexing */
     73:     ax = &a[k4 + 1];
     74:     for (j = kp1; j <= 7; ++j) {
     75:       j3   = 7 * j;
     76:       stmp = a[l + j3];
     77:       if (l != k) {
     78:         a[l + j3] = a[k + j3];
     79:         a[k + j3] = stmp;
     80:       }

     82:       i__3 = 7 - k;
     83:       ay   = &a[1 + k + j3];
     84:       for (ll = 0; ll < i__3; ll++) ay[ll] += stmp * ax[ll];
     85:     }
     86:   }
     87:   ipvt[6] = 7;
     88:   if (a[56] == 0.0) {
     89:     if (PetscLikely(allowzeropivot)) {
     90:       PetscCall(PetscInfo(NULL, "Zero pivot, row 6\n"));
     91:       if (zeropivotdetected) *zeropivotdetected = PETSC_TRUE;
     92:     } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_MAT_LU_ZRPVT, "Zero pivot, row 6");
     93:   }

     95:   /* Now form the inverse */
     96:   /* compute inverse(u) */
     97:   for (k = 1; k <= 7; ++k) {
     98:     k3    = 7 * k;
     99:     k4    = k3 + k;
    100:     a[k4] = 1.0 / a[k4];
    101:     stmp  = -a[k4];
    102:     i__2  = k - 1;
    103:     aa    = &a[k3 + 1];
    104:     for (ll = 0; ll < i__2; ll++) aa[ll] *= stmp;
    105:     kp1 = k + 1;
    106:     if (7 < kp1) continue;
    107:     ax = aa;
    108:     for (j = kp1; j <= 7; ++j) {
    109:       j3        = 7 * j;
    110:       stmp      = a[k + j3];
    111:       a[k + j3] = 0.0;
    112:       ay        = &a[j3 + 1];
    113:       for (ll = 0; ll < k; ll++) ay[ll] += stmp * ax[ll];
    114:     }
    115:   }

    117:   /* form inverse(u)*inverse(l) */
    118:   for (kb = 1; kb <= 6; ++kb) {
    119:     k   = 7 - kb;
    120:     k3  = 7 * k;
    121:     kp1 = k + 1;
    122:     aa  = a + k3;
    123:     for (i = kp1; i <= 7; ++i) {
    124:       work[i - 1] = aa[i];
    125:       aa[i]       = 0.0;
    126:     }
    127:     for (j = kp1; j <= 7; ++j) {
    128:       stmp = work[j - 1];
    129:       ax   = &a[7 * j + 1];
    130:       ay   = &a[k3 + 1];
    131:       ay[0] += stmp * ax[0];
    132:       ay[1] += stmp * ax[1];
    133:       ay[2] += stmp * ax[2];
    134:       ay[3] += stmp * ax[3];
    135:       ay[4] += stmp * ax[4];
    136:       ay[5] += stmp * ax[5];
    137:       ay[6] += stmp * ax[6];
    138:     }
    139:     l = ipvt[k - 1];
    140:     if (l != k) {
    141:       ax    = &a[k3 + 1];
    142:       ay    = &a[7 * l + 1];
    143:       stmp  = ax[0];
    144:       ax[0] = ay[0];
    145:       ay[0] = stmp;
    146:       stmp  = ax[1];
    147:       ax[1] = ay[1];
    148:       ay[1] = stmp;
    149:       stmp  = ax[2];
    150:       ax[2] = ay[2];
    151:       ay[2] = stmp;
    152:       stmp  = ax[3];
    153:       ax[3] = ay[3];
    154:       ay[3] = stmp;
    155:       stmp  = ax[4];
    156:       ax[4] = ay[4];
    157:       ay[4] = stmp;
    158:       stmp  = ax[5];
    159:       ax[5] = ay[5];
    160:       ay[5] = stmp;
    161:       stmp  = ax[6];
    162:       ax[6] = ay[6];
    163:       ay[6] = stmp;
    164:     }
    165:   }
    166:   PetscFunctionReturn(PETSC_SUCCESS);
    167: }