/* Inverts 7 by 7 matrix using gaussian elimination with partial pivoting. Used by the sparse factorization routines in src/mat/impls/baij/seq This is a combination of the Linpack routines dgefa() and dgedi() specialized for a size of 7. */ #include #include PetscErrorCode PetscKernel_A_gets_inverse_A_7(MatScalar *a, PetscReal shift, PetscBool allowzeropivot, PetscBool *zeropivotdetected) { PetscInt i__2, i__3, kp1, j, k, l, ll, i, ipvt[7], kb, k3; PetscInt k4, j3; MatScalar *aa, *ax, *ay, work[49], stmp; MatReal tmp, max; PetscFunctionBegin; if (zeropivotdetected) *zeropivotdetected = PETSC_FALSE; 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])); /* Parameter adjustments */ a -= 8; for (k = 1; k <= 6; ++k) { kp1 = k + 1; k3 = 7 * k; k4 = k3 + k; /* find l = pivot index */ i__2 = 8 - k; aa = &a[k4]; max = PetscAbsScalar(aa[0]); l = 1; for (ll = 1; ll < i__2; ll++) { tmp = PetscAbsScalar(aa[ll]); if (tmp > max) { max = tmp; l = ll + 1; } } l += k - 1; ipvt[k - 1] = l; if (a[l + k3] == 0.0) { if (shift == 0.0) { PetscCheck(allowzeropivot, PETSC_COMM_SELF, PETSC_ERR_MAT_LU_ZRPVT, "Zero pivot, row %" PetscInt_FMT, k - 1); PetscCall(PetscInfo(NULL, "Zero pivot, row %" PetscInt_FMT "\n", k - 1)); if (zeropivotdetected) *zeropivotdetected = PETSC_TRUE; } else { /* SHIFT is applied to SINGLE diagonal entry; does this make any sense? */ a[l + k3] = shift; } } /* interchange if necessary */ if (l != k) { stmp = a[l + k3]; a[l + k3] = a[k4]; a[k4] = stmp; } /* compute multipliers */ stmp = -1. / a[k4]; i__2 = 7 - k; aa = &a[1 + k4]; for (ll = 0; ll < i__2; ll++) aa[ll] *= stmp; /* row elimination with column indexing */ ax = &a[k4 + 1]; for (j = kp1; j <= 7; ++j) { j3 = 7 * j; stmp = a[l + j3]; if (l != k) { a[l + j3] = a[k + j3]; a[k + j3] = stmp; } i__3 = 7 - k; ay = &a[1 + k + j3]; for (ll = 0; ll < i__3; ll++) ay[ll] += stmp * ax[ll]; } } ipvt[6] = 7; if (a[56] == 0.0) { PetscCheck(PetscLikely(allowzeropivot), PETSC_COMM_SELF, PETSC_ERR_MAT_LU_ZRPVT, "Zero pivot, row 6"); PetscCall(PetscInfo(NULL, "Zero pivot, row 6\n")); if (zeropivotdetected) *zeropivotdetected = PETSC_TRUE; } /* Now form the inverse */ /* compute inverse(u) */ for (k = 1; k <= 7; ++k) { k3 = 7 * k; k4 = k3 + k; a[k4] = 1.0 / a[k4]; stmp = -a[k4]; i__2 = k - 1; aa = &a[k3 + 1]; for (ll = 0; ll < i__2; ll++) aa[ll] *= stmp; kp1 = k + 1; if (7 < kp1) continue; ax = aa; for (j = kp1; j <= 7; ++j) { j3 = 7 * j; stmp = a[k + j3]; a[k + j3] = 0.0; ay = &a[j3 + 1]; for (ll = 0; ll < k; ll++) ay[ll] += stmp * ax[ll]; } } /* form inverse(u)*inverse(l) */ for (kb = 1; kb <= 6; ++kb) { k = 7 - kb; k3 = 7 * k; kp1 = k + 1; aa = a + k3; for (i = kp1; i <= 7; ++i) { work[i - 1] = aa[i]; aa[i] = 0.0; } for (j = kp1; j <= 7; ++j) { stmp = work[j - 1]; ax = &a[7 * j + 1]; ay = &a[k3 + 1]; ay[0] += stmp * ax[0]; ay[1] += stmp * ax[1]; ay[2] += stmp * ax[2]; ay[3] += stmp * ax[3]; ay[4] += stmp * ax[4]; ay[5] += stmp * ax[5]; ay[6] += stmp * ax[6]; } l = ipvt[k - 1]; if (l != k) { ax = &a[k3 + 1]; ay = &a[7 * l + 1]; stmp = ax[0]; ax[0] = ay[0]; ay[0] = stmp; stmp = ax[1]; ax[1] = ay[1]; ay[1] = stmp; stmp = ax[2]; ax[2] = ay[2]; ay[2] = stmp; stmp = ax[3]; ax[3] = ay[3]; ay[3] = stmp; stmp = ax[4]; ax[4] = ay[4]; ay[4] = stmp; stmp = ax[5]; ax[5] = ay[5]; ay[5] = stmp; stmp = ax[6]; ax[6] = ay[6]; ay[6] = stmp; } } PetscFunctionReturn(PETSC_SUCCESS); }