static char help[] = "Illustrate how to do one symbolic factorization and multiple numeric factorizations using same matrix structure. \n\n";

#include <petscmat.h>

int main(int argc, char **args)
{
  PetscInt      i, rstart, rend, N = 10, num_numfac = 5, col[3], k;
  Mat           A[5], F;
  Vec           u, x, b;
  PetscMPIInt   rank;
  PetscScalar   value[3];
  PetscReal     norm, tol = 100 * PETSC_MACHINE_EPSILON;
  IS            perm, iperm;
  MatFactorInfo info;
  MatFactorType facttype = MAT_FACTOR_LU;
  char          solvertype[64];
  char          factortype[64];

  PetscFunctionBeginUser;
  PetscCall(PetscInitialize(&argc, &args, NULL, help));
  PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));

  /* Create and assemble matrices, all have same data structure */
  for (k = 0; k < num_numfac; k++) {
    PetscCall(MatCreate(PETSC_COMM_WORLD, &A[k]));
    PetscCall(MatSetSizes(A[k], PETSC_DECIDE, PETSC_DECIDE, N, N));
    PetscCall(MatSetFromOptions(A[k]));
    PetscCall(MatSetUp(A[k]));
    PetscCall(MatGetOwnershipRange(A[k], &rstart, &rend));

    value[0] = -1.0 * (k + 1);
    value[1] = 2.0 * (k + 1);
    value[2] = -1.0 * (k + 1);
    for (i = rstart; i < rend; i++) {
      col[0] = i - 1;
      col[1] = i;
      col[2] = i + 1;
      if (i == 0) {
        PetscCall(MatSetValues(A[k], 1, &i, 2, col + 1, value + 1, INSERT_VALUES));
      } else if (i == N - 1) {
        PetscCall(MatSetValues(A[k], 1, &i, 2, col, value, INSERT_VALUES));
      } else {
        PetscCall(MatSetValues(A[k], 1, &i, 3, col, value, INSERT_VALUES));
      }
    }
    PetscCall(MatAssemblyBegin(A[k], MAT_FINAL_ASSEMBLY));
    PetscCall(MatAssemblyEnd(A[k], MAT_FINAL_ASSEMBLY));
    PetscCall(MatSetOption(A[k], MAT_NEW_NONZERO_LOCATION_ERR, PETSC_TRUE));
  }

  /* Create vectors */
  PetscCall(MatCreateVecs(A[0], &x, &b));
  PetscCall(VecDuplicate(x, &u));

  /* Set rhs vector b */
  PetscCall(VecSet(b, 1.0));

  /* Get a symbolic factor F from A[0] */
  PetscCall(PetscStrncpy(solvertype, "petsc", sizeof(solvertype)));
  PetscCall(PetscOptionsGetString(NULL, NULL, "-mat_solver_type", solvertype, sizeof(solvertype), NULL));
  PetscCall(PetscOptionsGetEnum(NULL, NULL, "-mat_factor_type", MatFactorTypes, (PetscEnum *)&facttype, NULL));

  PetscCall(MatGetFactor(A[0], solvertype, facttype, &F));
  /* test mumps options */
#if defined(PETSC_HAVE_MUMPS)
  PetscCall(MatMumpsSetIcntl(F, 7, 5));
#endif
  PetscCall(PetscStrncpy(factortype, MatFactorTypes[facttype], sizeof(factortype)));
  PetscCall(PetscStrtoupper(solvertype));
  PetscCall(PetscStrtoupper(factortype));
  PetscCall(PetscPrintf(PETSC_COMM_WORLD, " %s %s:\n", solvertype, factortype));

  PetscCall(MatFactorInfoInitialize(&info));
  info.fill = 5.0;
  PetscCall(MatGetOrdering(A[0], MATORDERINGNATURAL, &perm, &iperm));
  switch (facttype) {
  case MAT_FACTOR_LU:
    PetscCall(MatLUFactorSymbolic(F, A[0], perm, iperm, &info));
    break;
  case MAT_FACTOR_ILU:
    PetscCall(MatILUFactorSymbolic(F, A[0], perm, iperm, &info));
    break;
  case MAT_FACTOR_ICC:
    PetscCall(MatICCFactorSymbolic(F, A[0], perm, &info));
    break;
  case MAT_FACTOR_CHOLESKY:
    PetscCall(MatCholeskyFactorSymbolic(F, A[0], perm, &info));
    break;
  default:
    SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_SUP, "Not for factor type %s", factortype);
  }

  /* Compute numeric factors using same F, then solve */
  for (k = 0; k < num_numfac; k++) {
    switch (facttype) {
    case MAT_FACTOR_LU:
    case MAT_FACTOR_ILU:
      PetscCall(MatLUFactorNumeric(F, A[k], &info));
      break;
    case MAT_FACTOR_ICC:
    case MAT_FACTOR_CHOLESKY:
      PetscCall(MatCholeskyFactorNumeric(F, A[k], &info));
      break;
    default:
      SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_SUP, "Not for factor type %s", factortype);
    }

    /* Solve A[k] * x = b */
    PetscCall(MatSolve(F, b, x));

    /* Check the residual */
    PetscCall(MatMult(A[k], x, u));
    PetscCall(VecAXPY(u, -1.0, b));
    PetscCall(VecNorm(u, NORM_INFINITY, &norm));
    if (norm > tol) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "%" PetscInt_FMT "-the %s numfact and solve: residual %g\n", k, factortype, (double)norm));
  }

  /* Free data structures */
  for (k = 0; k < num_numfac; k++) PetscCall(MatDestroy(&A[k]));
  PetscCall(MatDestroy(&F));
  PetscCall(ISDestroy(&perm));
  PetscCall(ISDestroy(&iperm));
  PetscCall(VecDestroy(&x));
  PetscCall(VecDestroy(&b));
  PetscCall(VecDestroy(&u));
  PetscCall(PetscFinalize());
  return 0;
}

/*TEST

   test:

   test:
      suffix: 2
      args: -mat_solver_type superlu
      requires: superlu

   test:
      suffix: 3
      nsize: 2
      requires: mumps
      args: -mat_solver_type mumps

   test:
      suffix: 4
      args: -mat_solver_type cusparse -mat_type aijcusparse -mat_factor_type {{lu cholesky ilu icc}separate output}
      requires: cuda

TEST*/
