xref: /petsc/src/ksp/pc/impls/hypre/hypre.c (revision 8a2c336b4146966a0f1271f829a3a6376f16d9c3)

/*
   Provides an interface to the LLNL package hypre
*/

/* Must use hypre 2.0.0 or more recent. */

#include <petsc/private/pcimpl.h>          /*I "petscpc.h" I*/
/* this include is needed ONLY to allow access to the private data inside the Mat object specific to hypre */
#include <petsc/private/matimpl.h>
#include <../src/vec/vec/impls/hypre/vhyp.h>
#include <../src/mat/impls/hypre/mhypre.h>
#include <../src/dm/impls/da/hypre/mhyp.h>
#include <_hypre_parcsr_ls.h>
#include <petscmathypre.h>

static PetscBool cite = PETSC_FALSE;
static const char hypreCitation[] = "@manual{hypre-web-page,\n  title  = {{\\sl hypre}: High Performance Preconditioners},\n  organization = {Lawrence Livermore National Laboratory},\n  note  = {\\url{https://computation.llnl.gov/projects/hypre-scalable-linear-solvers-multigrid-methods}}\n}\n";

/*
   Private context (data structure) for the  preconditioner.
*/
typedef struct {
  HYPRE_Solver   hsolver;
  Mat            hpmat; /* MatHYPRE */

  HYPRE_Int (*destroy)(HYPRE_Solver);
  HYPRE_Int (*solve)(HYPRE_Solver,HYPRE_ParCSRMatrix,HYPRE_ParVector,HYPRE_ParVector);
  HYPRE_Int (*setup)(HYPRE_Solver,HYPRE_ParCSRMatrix,HYPRE_ParVector,HYPRE_ParVector);

  MPI_Comm comm_hypre;
  char     *hypre_type;

  /* options for Pilut and BoomerAMG*/
  PetscInt maxiter;
  double   tol;

  /* options for Pilut */
  PetscInt factorrowsize;

  /* options for ParaSails */
  PetscInt nlevels;
  double   threshhold;
  double   filter;
  PetscInt sym;
  double   loadbal;
  PetscInt logging;
  PetscInt ruse;
  PetscInt symt;

  /* options for BoomerAMG */
  PetscBool printstatistics;

  /* options for BoomerAMG */
  PetscInt  cycletype;
  PetscInt  maxlevels;
  double    strongthreshold;
  double    maxrowsum;
  PetscInt  gridsweeps[3];
  PetscInt  coarsentype;
  PetscInt  measuretype;
  PetscInt  smoothtype;
  PetscInt  smoothnumlevels;
  PetscInt  eu_level;   /* Number of levels for ILU(k) in Euclid */
  double    eu_droptolerance; /* Drop tolerance for ILU(k) in Euclid */
  PetscInt  eu_bj;      /* Defines use of Block Jacobi ILU in Euclid */
  PetscInt  relaxtype[3];
  double    relaxweight;
  double    outerrelaxweight;
  PetscInt  relaxorder;
  double    truncfactor;
  PetscBool applyrichardson;
  PetscInt  pmax;
  PetscInt  interptype;
  PetscInt  agg_nl;
  PetscInt  agg_num_paths;
  PetscBool nodal_relax;
  PetscInt  nodal_relax_levels;

  PetscInt  nodal_coarsening;
  PetscInt  nodal_coarsening_diag;
  PetscInt  vec_interp_variant;
  PetscInt  vec_interp_qmax;
  PetscBool vec_interp_smooth;
  PetscInt  interp_refine;

  HYPRE_IJVector  *hmnull;
  HYPRE_ParVector *phmnull;  /* near null space passed to hypre */
  PetscInt        n_hmnull;
  Vec             hmnull_constant;
  PetscScalar     **hmnull_hypre_data_array;   /* this is the space in hmnull that was allocated by hypre, it is restored to hypre just before freeing the phmnull vectors */

  /* options for AS (Auxiliary Space preconditioners) */
  PetscInt  as_print;
  PetscInt  as_max_iter;
  PetscReal as_tol;
  PetscInt  as_relax_type;
  PetscInt  as_relax_times;
  PetscReal as_relax_weight;
  PetscReal as_omega;
  PetscInt  as_amg_alpha_opts[5]; /* AMG coarsen type, agg_levels, relax_type, interp_type, Pmax for vector Poisson (AMS) or Curl problem (ADS) */
  PetscReal as_amg_alpha_theta;   /* AMG strength for vector Poisson (AMS) or Curl problem (ADS) */
  PetscInt  as_amg_beta_opts[5];  /* AMG coarsen type, agg_levels, relax_type, interp_type, Pmax for scalar Poisson (AMS) or vector Poisson (ADS) */
  PetscReal as_amg_beta_theta;    /* AMG strength for scalar Poisson (AMS) or vector Poisson (ADS)  */
  PetscInt  ams_cycle_type;
  PetscInt  ads_cycle_type;

  /* additional data */
  Mat G;             /* MatHYPRE */
  Mat C;             /* MatHYPRE */
  Mat alpha_Poisson; /* MatHYPRE */
  Mat beta_Poisson;  /* MatHYPRE */

  /* extra information for AMS */
  PetscInt       dim; /* geometrical dimension */
  HYPRE_IJVector coords[3];
  HYPRE_IJVector constants[3];
  Mat            RT_PiFull, RT_Pi[3];
  Mat            ND_PiFull, ND_Pi[3];
  PetscBool      ams_beta_is_zero;
  PetscBool      ams_beta_is_zero_part;
  PetscInt       ams_proj_freq;
} PC_HYPRE;

PetscErrorCode PCHYPREGetSolver(PC pc,HYPRE_Solver *hsolver)
{
  PC_HYPRE *jac = (PC_HYPRE*)pc->data;

  PetscFunctionBegin;
  *hsolver = jac->hsolver;
  PetscFunctionReturn(0);
}

/*@
   PCHYPREBoomerAMGGetCoarseOperators - Gets coarse operator matrices for all levels (except the finest level)

   Logically Collective on PC

   Input Parameters:
+  pc - the multigrid context (BoomerAMG)

   Output Parameter:
-  num_levels - the number of levels
.  operators - the coarse operator matrices (size of num_levels-1)

   Notes:
   Matrices with AIJ format are created IN PLACE with using (I,J,data) from BoomerAMG. Since the data format in hypre_ParCSRMatrix
   is different from that used in PETSc, the original hypre_ParCSRMatrix can not be used any more after call this routine.
   It is used in PCHMG. Other users should avoid using this function.

   Level: developer

.keywords: MG, get, multigrid, interpolation, level

.seealso: PCMGGetInterpolation(), PCMGGetInterpolations(), PCHYPREBoomerAMGGetInterpolations()
@*/
PetscErrorCode PCHYPREBoomerAMGGetCoarseOperators(PC pc,PetscInt *nlevels,Mat *operators[])
{
  PC_HYPRE             *jac  = (PC_HYPRE*)pc->data;
  PetscBool            same = PETSC_FALSE;
  PetscErrorCode       ierr;
  PetscInt             num_levels,l;
  Mat                  *mattmp;
  hypre_ParCSRMatrix   **A_array;

  PetscFunctionBegin;
  PetscValidIntPointer(nlevels,2);
  PetscValidIntPointer(operators,3);
  ierr = PetscStrcmp(jac->hypre_type,"boomeramg",&same);CHKERRQ(ierr);
  if (!same) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_NOTSAMETYPE,"Hypre type is not BoomerAMG \n");
  num_levels = hypre_ParAMGDataNumLevels((hypre_ParAMGData*) (jac->hsolver));
  ierr = PetscMalloc1(num_levels,&mattmp);CHKERRQ(ierr);
  A_array    = hypre_ParAMGDataAArray((hypre_ParAMGData*) (jac->hsolver));
  for (l=1; l<num_levels; l++) {
    ierr = MatCreateFromParCSR(A_array[l],MATAIJ,PETSC_OWN_POINTER, &(mattmp[num_levels-1-l]));CHKERRQ(ierr);
    /* We want to own the data, and HYPRE can not touch this matrix any more */
    A_array[l] = NULL;
  }
  *nlevels = num_levels;
  *operators = mattmp;
  PetscFunctionReturn(0);
}

/*@
   PCHYPREBoomerAMGGetInterpolations - Gets interpolation matrices for all levels (except level 0)

   Logically Collective on PC

   Input Parameters:
+  pc - the multigrid context (BoomerAMG)

   Output Parameter:
-  num_levels - the number of levels
.  interpolations - the interpolation matrices (size of num_levels-1)

   Notes:
   Matrices with AIJ format are created IN PLACE with using (I,J,data) from BoomerAMG. Since the data format in hypre_ParCSRMatrix
   is different from that used in PETSc, the original hypre_ParCSRMatrix can not be used any more after call this routine.
   It is used in PCHMG. Other users should avoid using this function.

   Level: developer

.keywords: MG, get, multigrid, interpolation, level

.seealso: PCMGGetInterpolations(), PCHYPREBoomerAMGGetCoarseOperators()
@*/
PetscErrorCode PCHYPREBoomerAMGGetInterpolations(PC pc,PetscInt *nlevels,Mat *interpolations[])
{
  PC_HYPRE             *jac  = (PC_HYPRE*)pc->data;
  PetscBool            same = PETSC_FALSE;
  PetscErrorCode       ierr;
  PetscInt             num_levels,l;
  Mat                  *mattmp;
  hypre_ParCSRMatrix   **P_array;

  PetscFunctionBegin;
  PetscValidIntPointer(nlevels,2);
  PetscValidIntPointer(interpolations,3);
  ierr = PetscStrcmp(jac->hypre_type,"boomeramg",&same);CHKERRQ(ierr);
  if (!same) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_NOTSAMETYPE,"Hypre type is not BoomerAMG \n");
  num_levels = hypre_ParAMGDataNumLevels((hypre_ParAMGData*) (jac->hsolver));
  ierr = PetscMalloc1(num_levels,&mattmp);CHKERRQ(ierr);
  P_array  = hypre_ParAMGDataPArray((hypre_ParAMGData*) (jac->hsolver));
  for (l=1; l<num_levels; l++) {
    ierr = MatCreateFromParCSR(P_array[num_levels-1-l],MATAIJ,PETSC_OWN_POINTER, &(mattmp[l-1]));CHKERRQ(ierr);
    /* We want to own the data, and HYPRE can not touch this matrix any more */
    P_array[num_levels-1-l] = NULL;
  }
  *nlevels = num_levels;
  *interpolations = mattmp;
  PetscFunctionReturn(0);
}

/* Resets (frees) Hypre's representation of the near null space */
static PetscErrorCode PCHYPREResetNearNullSpace_Private(PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscInt       i;
  PetscErrorCode ierr;
  PETSC_UNUSED PetscScalar *petscvecarray;

  PetscFunctionBegin;
  for (i=0; i<jac->n_hmnull; i++) {
    VecHYPRE_ParVectorReplacePointer(jac->hmnull[i],jac->hmnull_hypre_data_array[i],petscvecarray);
    PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->hmnull[i]));
  }
  ierr = PetscFree(jac->hmnull);CHKERRQ(ierr);
  ierr = PetscFree(jac->hmnull_hypre_data_array);CHKERRQ(ierr);
  ierr = PetscFree(jac->phmnull);CHKERRQ(ierr);
  ierr = VecDestroy(&jac->hmnull_constant);CHKERRQ(ierr);
  jac->n_hmnull = 0;
  PetscFunctionReturn(0);
}

static PetscErrorCode PCSetUp_HYPRE(PC pc)
{
  PC_HYPRE           *jac = (PC_HYPRE*)pc->data;
  Mat_HYPRE          *hjac;
  HYPRE_ParCSRMatrix hmat;
  HYPRE_ParVector    bv,xv;
  PetscBool          ishypre;
  PetscErrorCode     ierr;

  PetscFunctionBegin;
  if (!jac->hypre_type) {
    ierr = PCHYPRESetType(pc,"boomeramg");CHKERRQ(ierr);
  }

  ierr = PetscObjectTypeCompare((PetscObject)pc->pmat,MATHYPRE,&ishypre);CHKERRQ(ierr);
  if (!ishypre) {
    ierr = MatDestroy(&jac->hpmat);CHKERRQ(ierr);
    ierr = MatConvert(pc->pmat,MATHYPRE,MAT_INITIAL_MATRIX,&jac->hpmat);CHKERRQ(ierr);
  } else {
    ierr = PetscObjectReference((PetscObject)pc->pmat);CHKERRQ(ierr);
    ierr = MatDestroy(&jac->hpmat);CHKERRQ(ierr);
    jac->hpmat = pc->pmat;
  }
  hjac = (Mat_HYPRE*)(jac->hpmat->data);

  /* special case for BoomerAMG */
  if (jac->setup == HYPRE_BoomerAMGSetup) {
    MatNullSpace    mnull;
    PetscBool       has_const;
    PetscInt        bs,nvec,i;
    const Vec       *vecs;
    PetscScalar     *petscvecarray;

    ierr = MatGetBlockSize(pc->pmat,&bs);CHKERRQ(ierr);
    if (bs > 1) PetscStackCallStandard(HYPRE_BoomerAMGSetNumFunctions,(jac->hsolver,bs));
    ierr = MatGetNearNullSpace(pc->mat, &mnull);CHKERRQ(ierr);
    if (mnull) {
      ierr = PCHYPREResetNearNullSpace_Private(pc);CHKERRQ(ierr);
      ierr = MatNullSpaceGetVecs(mnull, &has_const, &nvec, &vecs);CHKERRQ(ierr);
      ierr = PetscMalloc1(nvec+1,&jac->hmnull);CHKERRQ(ierr);
      ierr = PetscMalloc1(nvec+1,&jac->hmnull_hypre_data_array);CHKERRQ(ierr);
      ierr = PetscMalloc1(nvec+1,&jac->phmnull);CHKERRQ(ierr);
      for (i=0; i<nvec; i++) {
        ierr = VecHYPRE_IJVectorCreate(vecs[i],&jac->hmnull[i]);CHKERRQ(ierr);
        ierr = VecGetArrayRead(vecs[i],(const PetscScalar **)&petscvecarray);CHKERRQ(ierr);
        VecHYPRE_ParVectorReplacePointer(jac->hmnull[i],petscvecarray,jac->hmnull_hypre_data_array[i]);
        ierr = VecRestoreArrayRead(vecs[i],(const PetscScalar **)&petscvecarray);CHKERRQ(ierr);
        PetscStackCallStandard(HYPRE_IJVectorGetObject,(jac->hmnull[i],(void**)&jac->phmnull[i]));
      }
      if (has_const) {
        ierr = MatCreateVecs(pc->pmat,&jac->hmnull_constant,NULL);CHKERRQ(ierr);
        ierr = VecSet(jac->hmnull_constant,1);CHKERRQ(ierr);
        ierr = VecNormalize(jac->hmnull_constant,NULL);
        ierr = VecHYPRE_IJVectorCreate(jac->hmnull_constant,&jac->hmnull[nvec]);CHKERRQ(ierr);
        ierr = VecGetArrayRead(jac->hmnull_constant,(const PetscScalar **)&petscvecarray);CHKERRQ(ierr);
        VecHYPRE_ParVectorReplacePointer(jac->hmnull[nvec],petscvecarray,jac->hmnull_hypre_data_array[nvec]);
        ierr = VecRestoreArrayRead(jac->hmnull_constant,(const PetscScalar **)&petscvecarray);CHKERRQ(ierr);
        PetscStackCallStandard(HYPRE_IJVectorGetObject,(jac->hmnull[nvec],(void**)&jac->phmnull[nvec]));
        nvec++;
      }
      PetscStackCallStandard(HYPRE_BoomerAMGSetInterpVectors,(jac->hsolver,nvec,jac->phmnull));
      jac->n_hmnull = nvec;
    }
  }

  /* special case for AMS */
  if (jac->setup == HYPRE_AMSSetup) {
    Mat_HYPRE          *hm;
    HYPRE_ParCSRMatrix parcsr;
    if (!jac->coords[0] && !jac->constants[0] && !(jac->ND_PiFull || (jac->ND_Pi[0] && jac->ND_Pi[1]))) {
      SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_USER,"HYPRE AMS preconditioner needs either the coordinate vectors via PCSetCoordinates() or the edge constant vectors via PCHYPRESetEdgeConstantVectors() or the interpolation matrix via PCHYPRESetInterpolations");
    }
    if (jac->dim) {
      PetscStackCallStandard(HYPRE_AMSSetDimension,(jac->hsolver,jac->dim));
    }
    if (jac->constants[0]) {
      HYPRE_ParVector ozz,zoz,zzo = NULL;
      PetscStackCallStandard(HYPRE_IJVectorGetObject,(jac->constants[0],(void**)(&ozz)));
      PetscStackCallStandard(HYPRE_IJVectorGetObject,(jac->constants[1],(void**)(&zoz)));
      if (jac->constants[2]) {
        PetscStackCallStandard(HYPRE_IJVectorGetObject,(jac->constants[2],(void**)(&zzo)));
      }
      PetscStackCallStandard(HYPRE_AMSSetEdgeConstantVectors,(jac->hsolver,ozz,zoz,zzo));
    }
    if (jac->coords[0]) {
      HYPRE_ParVector coords[3];
      coords[0] = NULL;
      coords[1] = NULL;
      coords[2] = NULL;
      if (jac->coords[0]) PetscStackCallStandard(HYPRE_IJVectorGetObject,(jac->coords[0],(void**)(&coords[0])));
      if (jac->coords[1]) PetscStackCallStandard(HYPRE_IJVectorGetObject,(jac->coords[1],(void**)(&coords[1])));
      if (jac->coords[2]) PetscStackCallStandard(HYPRE_IJVectorGetObject,(jac->coords[2],(void**)(&coords[2])));
      PetscStackCallStandard(HYPRE_AMSSetCoordinateVectors,(jac->hsolver,coords[0],coords[1],coords[2]));
    }
    if (!jac->G) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_USER,"HYPRE AMS preconditioner needs the discrete gradient operator via PCHYPRESetDiscreteGradient");
    hm = (Mat_HYPRE*)(jac->G->data);
    PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hm->ij,(void**)(&parcsr)));
    PetscStackCallStandard(HYPRE_AMSSetDiscreteGradient,(jac->hsolver,parcsr));
    if (jac->alpha_Poisson) {
      hm = (Mat_HYPRE*)(jac->alpha_Poisson->data);
      PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hm->ij,(void**)(&parcsr)));
      PetscStackCallStandard(HYPRE_AMSSetAlphaPoissonMatrix,(jac->hsolver,parcsr));
    }
    if (jac->ams_beta_is_zero) {
      PetscStackCallStandard(HYPRE_AMSSetBetaPoissonMatrix,(jac->hsolver,NULL));
    } else if (jac->beta_Poisson) {
      hm = (Mat_HYPRE*)(jac->beta_Poisson->data);
      PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hm->ij,(void**)(&parcsr)));
      PetscStackCallStandard(HYPRE_AMSSetBetaPoissonMatrix,(jac->hsolver,parcsr));
    }
    if (jac->ND_PiFull || (jac->ND_Pi[0] && jac->ND_Pi[1])) {
      PetscInt           i;
      HYPRE_ParCSRMatrix nd_parcsrfull, nd_parcsr[3];
      if (jac->ND_PiFull) {
        hm = (Mat_HYPRE*)(jac->ND_PiFull->data);
        PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hm->ij,(void**)(&nd_parcsrfull)));
      } else {
        nd_parcsrfull = NULL;
      }
      for (i=0;i<3;++i) {
        if (jac->ND_Pi[i]) {
          hm = (Mat_HYPRE*)(jac->ND_Pi[i]->data);
          PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hm->ij,(void**)(&nd_parcsr[i])));
        } else {
          nd_parcsr[i] = NULL;
        }
      }
      PetscStackCallStandard(HYPRE_AMSSetInterpolations,(jac->hsolver,nd_parcsrfull,nd_parcsr[0],nd_parcsr[1],nd_parcsr[2]));
    }
  }
  /* special case for ADS */
  if (jac->setup == HYPRE_ADSSetup) {
    Mat_HYPRE          *hm;
    HYPRE_ParCSRMatrix parcsr;
    if (!jac->coords[0] && !((jac->RT_PiFull || (jac->RT_Pi[0] && jac->RT_Pi[1])) && (jac->ND_PiFull || (jac->ND_Pi[0] && jac->ND_Pi[1])))) {
      SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_USER,"HYPRE ADS preconditioner needs either the coordinate vectors via PCSetCoordinates() or the interpolation matrices via PCHYPRESetInterpolations");
    }
    else if (!jac->coords[1] || !jac->coords[2]) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_USER,"HYPRE ADS preconditioner has been designed for three dimensional problems! For two dimensional problems, use HYPRE AMS instead");
    if (!jac->G) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_USER,"HYPRE ADS preconditioner needs the discrete gradient operator via PCHYPRESetDiscreteGradient");
    if (!jac->C) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_USER,"HYPRE ADS preconditioner needs the discrete curl operator via PCHYPRESetDiscreteGradient");
    if (jac->coords[0]) {
      HYPRE_ParVector coords[3];
      coords[0] = NULL;
      coords[1] = NULL;
      coords[2] = NULL;
      if (jac->coords[0]) PetscStackCallStandard(HYPRE_IJVectorGetObject,(jac->coords[0],(void**)(&coords[0])));
      if (jac->coords[1]) PetscStackCallStandard(HYPRE_IJVectorGetObject,(jac->coords[1],(void**)(&coords[1])));
      if (jac->coords[2]) PetscStackCallStandard(HYPRE_IJVectorGetObject,(jac->coords[2],(void**)(&coords[2])));
      PetscStackCallStandard(HYPRE_ADSSetCoordinateVectors,(jac->hsolver,coords[0],coords[1],coords[2]));
    }
    hm = (Mat_HYPRE*)(jac->G->data);
    PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hm->ij,(void**)(&parcsr)));
    PetscStackCallStandard(HYPRE_ADSSetDiscreteGradient,(jac->hsolver,parcsr));
    hm = (Mat_HYPRE*)(jac->C->data);
    PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hm->ij,(void**)(&parcsr)));
    PetscStackCallStandard(HYPRE_ADSSetDiscreteCurl,(jac->hsolver,parcsr));
    if ((jac->RT_PiFull || (jac->RT_Pi[0] && jac->RT_Pi[1])) && (jac->ND_PiFull || (jac->ND_Pi[0] && jac->ND_Pi[1]))) {
      PetscInt           i;
      HYPRE_ParCSRMatrix rt_parcsrfull, rt_parcsr[3];
      HYPRE_ParCSRMatrix nd_parcsrfull, nd_parcsr[3];
      if (jac->RT_PiFull) {
        hm = (Mat_HYPRE*)(jac->RT_PiFull->data);
        PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hm->ij,(void**)(&rt_parcsrfull)));
      } else {
        rt_parcsrfull = NULL;
      }
      for (i=0;i<3;++i) {
        if (jac->RT_Pi[i]) {
          hm = (Mat_HYPRE*)(jac->RT_Pi[i]->data);
          PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hm->ij,(void**)(&rt_parcsr[i])));
        } else {
          rt_parcsr[i] = NULL;
        }
      }
      if (jac->ND_PiFull) {
        hm = (Mat_HYPRE*)(jac->ND_PiFull->data);
        PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hm->ij,(void**)(&nd_parcsrfull)));
      } else {
        nd_parcsrfull = NULL;
      }
      for (i=0;i<3;++i) {
        if (jac->ND_Pi[i]) {
          hm = (Mat_HYPRE*)(jac->ND_Pi[i]->data);
          PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hm->ij,(void**)(&nd_parcsr[i])));
        } else {
          nd_parcsr[i] = NULL;
        }
      }
      PetscStackCallStandard(HYPRE_ADSSetInterpolations,(jac->hsolver,rt_parcsrfull,rt_parcsr[0],rt_parcsr[1],rt_parcsr[2],nd_parcsrfull,nd_parcsr[0],nd_parcsr[1],nd_parcsr[2]));
    }
  }
  PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hjac->ij,(void**)&hmat));
  PetscStackCallStandard(HYPRE_IJVectorGetObject,(hjac->b,(void**)&bv));
  PetscStackCallStandard(HYPRE_IJVectorGetObject,(hjac->x,(void**)&xv));
  PetscStackCallStandard(jac->setup,(jac->hsolver,hmat,bv,xv));
  PetscFunctionReturn(0);
}

static PetscErrorCode PCApply_HYPRE(PC pc,Vec b,Vec x)
{
  PC_HYPRE           *jac = (PC_HYPRE*)pc->data;
  Mat_HYPRE          *hjac = (Mat_HYPRE*)(jac->hpmat->data);
  PetscErrorCode     ierr;
  HYPRE_ParCSRMatrix hmat;
  PetscScalar        *xv;
  const PetscScalar  *bv,*sbv;
  HYPRE_ParVector    jbv,jxv;
  PetscScalar        *sxv;
  PetscInt           hierr;

  PetscFunctionBegin;
  ierr = PetscCitationsRegister(hypreCitation,&cite);CHKERRQ(ierr);
  if (!jac->applyrichardson) {ierr = VecSet(x,0.0);CHKERRQ(ierr);}
  ierr = VecGetArrayRead(b,&bv);CHKERRQ(ierr);
  ierr = VecGetArray(x,&xv);CHKERRQ(ierr);
  VecHYPRE_ParVectorReplacePointer(hjac->b,(PetscScalar*)bv,sbv);
  VecHYPRE_ParVectorReplacePointer(hjac->x,xv,sxv);

  PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hjac->ij,(void**)&hmat));
  PetscStackCallStandard(HYPRE_IJVectorGetObject,(hjac->b,(void**)&jbv));
  PetscStackCallStandard(HYPRE_IJVectorGetObject,(hjac->x,(void**)&jxv));
  PetscStackCall("Hypre solve",hierr = (*jac->solve)(jac->hsolver,hmat,jbv,jxv);
  if (hierr && hierr != HYPRE_ERROR_CONV) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error in HYPRE solver, error code %d",hierr);
  if (hierr) hypre__global_error = 0;);

  if (jac->setup == HYPRE_AMSSetup && jac->ams_beta_is_zero_part) {
    PetscStackCallStandard(HYPRE_AMSProjectOutGradients,(jac->hsolver,jxv));
  }
  VecHYPRE_ParVectorReplacePointer(hjac->b,(PetscScalar*)sbv,bv);
  VecHYPRE_ParVectorReplacePointer(hjac->x,sxv,xv);
  ierr = VecRestoreArray(x,&xv);CHKERRQ(ierr);
  ierr = VecRestoreArrayRead(b,&bv);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCReset_HYPRE(PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  ierr = MatDestroy(&jac->hpmat);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->G);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->C);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->alpha_Poisson);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->beta_Poisson);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->RT_PiFull);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->RT_Pi[0]);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->RT_Pi[1]);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->RT_Pi[2]);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->ND_PiFull);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->ND_Pi[0]);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->ND_Pi[1]);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->ND_Pi[2]);CHKERRQ(ierr);
  if (jac->coords[0]) PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->coords[0])); jac->coords[0] = NULL;
  if (jac->coords[1]) PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->coords[1])); jac->coords[1] = NULL;
  if (jac->coords[2]) PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->coords[2])); jac->coords[2] = NULL;
  if (jac->constants[0]) PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->constants[0])); jac->constants[0] = NULL;
  if (jac->constants[1]) PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->constants[1])); jac->constants[1] = NULL;
  if (jac->constants[2]) PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->constants[2])); jac->constants[2] = NULL;
  ierr = PCHYPREResetNearNullSpace_Private(pc);CHKERRQ(ierr);
  jac->ams_beta_is_zero = PETSC_FALSE;
  jac->dim = 0;
  PetscFunctionReturn(0);
}

static PetscErrorCode PCDestroy_HYPRE(PC pc)
{
  PC_HYPRE                 *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode           ierr;

  PetscFunctionBegin;
  ierr = PCReset_HYPRE(pc);CHKERRQ(ierr);
  if (jac->destroy) PetscStackCallStandard(jac->destroy,(jac->hsolver));
  ierr = PetscFree(jac->hypre_type);CHKERRQ(ierr);
  if (jac->comm_hypre != MPI_COMM_NULL) { ierr = MPI_Comm_free(&(jac->comm_hypre));CHKERRQ(ierr);}
  ierr = PetscFree(pc->data);CHKERRQ(ierr);

  ierr = PetscObjectChangeTypeName((PetscObject)pc,0);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetType_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPREGetType_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetCoordinates_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetDiscreteGradient_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetDiscreteCurl_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetInterpolations_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetConstantEdgeVectors_C",NULL);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetPoissonMatrix_C",NULL);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

/* --------------------------------------------------------------------------------------------*/
static PetscErrorCode PCSetFromOptions_HYPRE_Pilut(PetscOptionItems *PetscOptionsObject,PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscBool      flag;

  PetscFunctionBegin;
  ierr = PetscOptionsHead(PetscOptionsObject,"HYPRE Pilut Options");CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_hypre_pilut_maxiter","Number of iterations","None",jac->maxiter,&jac->maxiter,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_ParCSRPilutSetMaxIter,(jac->hsolver,jac->maxiter));
  ierr = PetscOptionsReal("-pc_hypre_pilut_tol","Drop tolerance","None",jac->tol,&jac->tol,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_ParCSRPilutSetDropTolerance,(jac->hsolver,jac->tol));
  ierr = PetscOptionsInt("-pc_hypre_pilut_factorrowsize","FactorRowSize","None",jac->factorrowsize,&jac->factorrowsize,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_ParCSRPilutSetFactorRowSize,(jac->hsolver,jac->factorrowsize));
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCView_HYPRE_Pilut(PC pc,PetscViewer viewer)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscBool      iascii;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE Pilut preconditioning\n");CHKERRQ(ierr);
    if (jac->maxiter != PETSC_DEFAULT) {
      ierr = PetscViewerASCIIPrintf(viewer,"    maximum number of iterations %d\n",jac->maxiter);CHKERRQ(ierr);
    } else {
      ierr = PetscViewerASCIIPrintf(viewer,"    default maximum number of iterations \n");CHKERRQ(ierr);
    }
    if (jac->tol != PETSC_DEFAULT) {
      ierr = PetscViewerASCIIPrintf(viewer,"    drop tolerance %g\n",(double)jac->tol);CHKERRQ(ierr);
    } else {
      ierr = PetscViewerASCIIPrintf(viewer,"    default drop tolerance \n");CHKERRQ(ierr);
    }
    if (jac->factorrowsize != PETSC_DEFAULT) {
      ierr = PetscViewerASCIIPrintf(viewer,"    factor row size %d\n",jac->factorrowsize);CHKERRQ(ierr);
    } else {
      ierr = PetscViewerASCIIPrintf(viewer,"    default factor row size \n");CHKERRQ(ierr);
    }
  }
  PetscFunctionReturn(0);
}

/* --------------------------------------------------------------------------------------------*/
static PetscErrorCode PCSetFromOptions_HYPRE_Euclid(PetscOptionItems *PetscOptionsObject,PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscBool      flag;

  PetscFunctionBegin;
  ierr = PetscOptionsHead(PetscOptionsObject,"HYPRE Euclid Options");CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_hypre_euclid_level","Factorization levels","None",jac->eu_level,&jac->eu_level,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_EuclidSetLevel,(jac->hsolver,jac->eu_level));
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCView_HYPRE_Euclid(PC pc,PetscViewer viewer)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscBool      iascii;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE Euclid preconditioning\n");CHKERRQ(ierr);
    if (jac->eu_level != PETSC_DEFAULT) {
      ierr = PetscViewerASCIIPrintf(viewer,"    factorization levels %d\n",jac->eu_level);CHKERRQ(ierr);
    } else {
      ierr = PetscViewerASCIIPrintf(viewer,"    default factorization levels \n");CHKERRQ(ierr);
    }
  }
  PetscFunctionReturn(0);
}

/* --------------------------------------------------------------------------------------------*/

static PetscErrorCode PCApplyTranspose_HYPRE_BoomerAMG(PC pc,Vec b,Vec x)
{
  PC_HYPRE           *jac = (PC_HYPRE*)pc->data;
  Mat_HYPRE          *hjac = (Mat_HYPRE*)(jac->hpmat->data);
  PetscErrorCode     ierr;
  HYPRE_ParCSRMatrix hmat;
  PetscScalar        *xv;
  const PetscScalar  *bv;
  HYPRE_ParVector    jbv,jxv;
  PetscScalar        *sbv,*sxv;
  PetscInt           hierr;

  PetscFunctionBegin;
  ierr = PetscCitationsRegister(hypreCitation,&cite);CHKERRQ(ierr);
  ierr = VecSet(x,0.0);CHKERRQ(ierr);
  ierr = VecGetArrayRead(b,&bv);CHKERRQ(ierr);
  ierr = VecGetArray(x,&xv);CHKERRQ(ierr);
  VecHYPRE_ParVectorReplacePointer(hjac->b,(PetscScalar*)bv,sbv);
  VecHYPRE_ParVectorReplacePointer(hjac->x,xv,sxv);

  PetscStackCallStandard(HYPRE_IJMatrixGetObject,(hjac->ij,(void**)&hmat));
  PetscStackCallStandard(HYPRE_IJVectorGetObject,(hjac->b,(void**)&jbv));
  PetscStackCallStandard(HYPRE_IJVectorGetObject,(hjac->x,(void**)&jxv));

  hierr = HYPRE_BoomerAMGSolveT(jac->hsolver,hmat,jbv,jxv);
  /* error code of 1 in BoomerAMG merely means convergence not achieved */
  if (hierr && (hierr != 1)) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"Error in HYPRE solver, error code %d",hierr);
  if (hierr) hypre__global_error = 0;

  VecHYPRE_ParVectorReplacePointer(hjac->b,sbv,bv);
  VecHYPRE_ParVectorReplacePointer(hjac->x,sxv,xv);
  ierr = VecRestoreArray(x,&xv);CHKERRQ(ierr);
  ierr = VecRestoreArrayRead(b,&bv);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

/* static array length */
#define ALEN(a) (sizeof(a)/sizeof((a)[0]))

static const char *HYPREBoomerAMGCycleType[]   = {"","V","W"};
static const char *HYPREBoomerAMGCoarsenType[] = {"CLJP","Ruge-Stueben","","modifiedRuge-Stueben","","","Falgout", "", "PMIS", "", "HMIS"};
static const char *HYPREBoomerAMGMeasureType[] = {"local","global"};
/* The following corresponds to HYPRE_BoomerAMGSetRelaxType which has many missing numbers in the enum */
static const char *HYPREBoomerAMGSmoothType[]   = {"Schwarz-smoothers","Pilut","ParaSails","Euclid"};
static const char *HYPREBoomerAMGRelaxType[]   = {"Jacobi","sequential-Gauss-Seidel","seqboundary-Gauss-Seidel","SOR/Jacobi","backward-SOR/Jacobi",
                                                  "" /* [5] hybrid chaotic Gauss-Seidel (works only with OpenMP) */,"symmetric-SOR/Jacobi",
                                                  "" /* 7 */,"l1scaled-SOR/Jacobi","Gaussian-elimination",
                                                  "" /* 10 */, "" /* 11 */, "" /* 12 */, "l1-Gauss-Seidel" /* nonsymmetric */, "backward-l1-Gauss-Seidel" /* nonsymmetric */,
                                                  "CG" /* non-stationary */,"Chebyshev","FCF-Jacobi","l1scaled-Jacobi"};
static const char *HYPREBoomerAMGInterpType[]  = {"classical", "", "", "direct", "multipass", "multipass-wts", "ext+i",
                                                  "ext+i-cc", "standard", "standard-wts", "block", "block-wtd", "FF", "FF1"};
static PetscErrorCode PCSetFromOptions_HYPRE_BoomerAMG(PetscOptionItems *PetscOptionsObject,PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscInt       bs,n,indx,level;
  PetscBool      flg, tmp_truth;
  double         tmpdbl, twodbl[2];

  PetscFunctionBegin;
  ierr = PetscOptionsHead(PetscOptionsObject,"HYPRE BoomerAMG Options");CHKERRQ(ierr);
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_cycle_type","Cycle type","None",HYPREBoomerAMGCycleType+1,2,HYPREBoomerAMGCycleType[jac->cycletype],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->cycletype = indx+1;
    PetscStackCallStandard(HYPRE_BoomerAMGSetCycleType,(jac->hsolver,jac->cycletype));
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_max_levels","Number of levels (of grids) allowed","None",jac->maxlevels,&jac->maxlevels,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->maxlevels < 2) SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Number of levels %d must be at least two",jac->maxlevels);
    PetscStackCallStandard(HYPRE_BoomerAMGSetMaxLevels,(jac->hsolver,jac->maxlevels));
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_max_iter","Maximum iterations used PER hypre call","None",jac->maxiter,&jac->maxiter,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->maxiter < 1) SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Number of iterations %d must be at least one",jac->maxiter);
    PetscStackCallStandard(HYPRE_BoomerAMGSetMaxIter,(jac->hsolver,jac->maxiter));
  }
  ierr = PetscOptionsScalar("-pc_hypre_boomeramg_tol","Convergence tolerance PER hypre call (0.0 = use a fixed number of iterations)","None",jac->tol,&jac->tol,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->tol < 0.0) SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Tolerance %g must be greater than or equal to zero",(double)jac->tol);
    PetscStackCallStandard(HYPRE_BoomerAMGSetTol,(jac->hsolver,jac->tol));
  }
  bs = 1;
  if (pc->pmat) {
    ierr = MatGetBlockSize(pc->pmat,&bs);CHKERRQ(ierr);
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_numfunctions","Number of functions","HYPRE_BoomerAMGSetNumFunctions",bs,&bs,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetNumFunctions,(jac->hsolver,bs));
  }

  ierr = PetscOptionsScalar("-pc_hypre_boomeramg_truncfactor","Truncation factor for interpolation (0=no truncation)","None",jac->truncfactor,&jac->truncfactor,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->truncfactor < 0.0) SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Truncation factor %g must be great than or equal zero",(double)jac->truncfactor);
    PetscStackCallStandard(HYPRE_BoomerAMGSetTruncFactor,(jac->hsolver,jac->truncfactor));
  }

  ierr = PetscOptionsInt("-pc_hypre_boomeramg_P_max","Max elements per row for interpolation operator (0=unlimited)","None",jac->pmax,&jac->pmax,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->pmax < 0) SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"P_max %g must be greater than or equal to zero",(double)jac->pmax);
    PetscStackCallStandard(HYPRE_BoomerAMGSetPMaxElmts,(jac->hsolver,jac->pmax));
  }

  ierr = PetscOptionsInt("-pc_hypre_boomeramg_agg_nl","Number of levels of aggressive coarsening","None",jac->agg_nl,&jac->agg_nl,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->agg_nl < 0) SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Number of levels %g must be greater than or equal to zero",(double)jac->agg_nl);

    PetscStackCallStandard(HYPRE_BoomerAMGSetAggNumLevels,(jac->hsolver,jac->agg_nl));
  }

  ierr = PetscOptionsInt("-pc_hypre_boomeramg_agg_num_paths","Number of paths for aggressive coarsening","None",jac->agg_num_paths,&jac->agg_num_paths,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->agg_num_paths < 1) SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Number of paths %g must be greater than or equal to 1",(double)jac->agg_num_paths);

    PetscStackCallStandard(HYPRE_BoomerAMGSetNumPaths,(jac->hsolver,jac->agg_num_paths));
  }


  ierr = PetscOptionsScalar("-pc_hypre_boomeramg_strong_threshold","Threshold for being strongly connected","None",jac->strongthreshold,&jac->strongthreshold,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->strongthreshold < 0.0) SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Strong threshold %g must be great than or equal zero",(double)jac->strongthreshold);
    PetscStackCallStandard(HYPRE_BoomerAMGSetStrongThreshold,(jac->hsolver,jac->strongthreshold));
  }
  ierr = PetscOptionsScalar("-pc_hypre_boomeramg_max_row_sum","Maximum row sum","None",jac->maxrowsum,&jac->maxrowsum,&flg);CHKERRQ(ierr);
  if (flg) {
    if (jac->maxrowsum < 0.0) SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Maximum row sum %g must be greater than zero",(double)jac->maxrowsum);
    if (jac->maxrowsum > 1.0) SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Maximum row sum %g must be less than or equal one",(double)jac->maxrowsum);
    PetscStackCallStandard(HYPRE_BoomerAMGSetMaxRowSum,(jac->hsolver,jac->maxrowsum));
  }

  /* Grid sweeps */
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_grid_sweeps_all","Number of sweeps for the up and down grid levels","None",jac->gridsweeps[0],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetNumSweeps,(jac->hsolver,indx));
    /* modify the jac structure so we can view the updated options with PC_View */
    jac->gridsweeps[0] = indx;
    jac->gridsweeps[1] = indx;
    /*defaults coarse to 1 */
    jac->gridsweeps[2] = 1;
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_nodal_coarsen","Use a nodal based coarsening 1-6","HYPRE_BoomerAMGSetNodal",jac->nodal_coarsening,&jac->nodal_coarsening,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetNodal,(jac->hsolver,jac->nodal_coarsening));
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_nodal_coarsen_diag","Diagonal in strength matrix for nodal based coarsening 0-2","HYPRE_BoomerAMGSetNodalDiag",jac->nodal_coarsening_diag,&jac->nodal_coarsening_diag,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetNodalDiag,(jac->hsolver,jac->nodal_coarsening_diag));
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_vec_interp_variant","Variant of algorithm 1-3","HYPRE_BoomerAMGSetInterpVecVariant",jac->vec_interp_variant, &jac->vec_interp_variant,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetInterpVecVariant,(jac->hsolver,jac->vec_interp_variant));
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_vec_interp_qmax","Max elements per row for each Q","HYPRE_BoomerAMGSetInterpVecQMax",jac->vec_interp_qmax, &jac->vec_interp_qmax,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetInterpVecQMax,(jac->hsolver,jac->vec_interp_qmax));
  }
  ierr = PetscOptionsBool("-pc_hypre_boomeramg_vec_interp_smooth","Whether to smooth the interpolation vectors","HYPRE_BoomerAMGSetSmoothInterpVectors",jac->vec_interp_smooth, &jac->vec_interp_smooth,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetSmoothInterpVectors,(jac->hsolver,jac->vec_interp_smooth));
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_interp_refine","Preprocess the interpolation matrix through iterative weight refinement","HYPRE_BoomerAMGSetInterpRefine",jac->interp_refine, &jac->interp_refine,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetInterpRefine,(jac->hsolver,jac->interp_refine));
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_grid_sweeps_down","Number of sweeps for the down cycles","None",jac->gridsweeps[0], &indx,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetCycleNumSweeps,(jac->hsolver,indx, 1));
    jac->gridsweeps[0] = indx;
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_grid_sweeps_up","Number of sweeps for the up cycles","None",jac->gridsweeps[1],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetCycleNumSweeps,(jac->hsolver,indx, 2));
    jac->gridsweeps[1] = indx;
  }
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_grid_sweeps_coarse","Number of sweeps for the coarse level","None",jac->gridsweeps[2],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetCycleNumSweeps,(jac->hsolver,indx, 3));
    jac->gridsweeps[2] = indx;
  }

  /* Smooth type */
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_smooth_type","Enable more complex smoothers","None",HYPREBoomerAMGSmoothType,ALEN(HYPREBoomerAMGSmoothType),HYPREBoomerAMGSmoothType[0],&indx,&flg);
  if (flg) {
    jac->smoothtype = indx;
    PetscStackCallStandard(HYPRE_BoomerAMGSetSmoothType,(jac->hsolver,indx+6));
    jac->smoothnumlevels = 25;
    PetscStackCallStandard(HYPRE_BoomerAMGSetSmoothNumLevels,(jac->hsolver,25));
  }

  /* Number of smoothing levels */
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_smooth_num_levels","Number of levels on which more complex smoothers are used","None",25,&indx,&flg);CHKERRQ(ierr);
  if (flg && (jac->smoothtype != -1)) {
    jac->smoothnumlevels = indx;
    PetscStackCallStandard(HYPRE_BoomerAMGSetSmoothNumLevels,(jac->hsolver,indx));
  }

  /* Number of levels for ILU(k) for Euclid */
  ierr = PetscOptionsInt("-pc_hypre_boomeramg_eu_level","Number of levels for ILU(k) in Euclid smoother","None",0,&indx,&flg);CHKERRQ(ierr);
  if (flg && (jac->smoothtype == 3)) {
    jac->eu_level = indx;
    PetscStackCallStandard(HYPRE_BoomerAMGSetEuLevel,(jac->hsolver,indx));
  }

  /* Filter for ILU(k) for Euclid */
  double droptolerance;
  ierr = PetscOptionsScalar("-pc_hypre_boomeramg_eu_droptolerance","Drop tolerance for ILU(k) in Euclid smoother","None",0,&droptolerance,&flg);CHKERRQ(ierr);
  if (flg && (jac->smoothtype == 3)) {
    jac->eu_droptolerance = droptolerance;
    PetscStackCallStandard(HYPRE_BoomerAMGSetEuLevel,(jac->hsolver,droptolerance));
  }

  /* Use Block Jacobi ILUT for Euclid */
  ierr = PetscOptionsBool("-pc_hypre_boomeramg_eu_bj", "Use Block Jacobi for ILU in Euclid smoother?", "None", PETSC_FALSE, &tmp_truth, &flg);CHKERRQ(ierr);
  if (flg && (jac->smoothtype == 3)) {
    jac->eu_bj = tmp_truth;
    PetscStackCallStandard(HYPRE_BoomerAMGSetEuBJ,(jac->hsolver,jac->eu_bj));
  }

  /* Relax type */
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_relax_type_all","Relax type for the up and down cycles","None",HYPREBoomerAMGRelaxType,ALEN(HYPREBoomerAMGRelaxType),HYPREBoomerAMGRelaxType[6],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->relaxtype[0] = jac->relaxtype[1]  = indx;
    PetscStackCallStandard(HYPRE_BoomerAMGSetRelaxType,(jac->hsolver, indx));
    /* by default, coarse type set to 9 */
    jac->relaxtype[2] = 9;
    PetscStackCallStandard(HYPRE_BoomerAMGSetCycleRelaxType,(jac->hsolver, 9, 3));
  }
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_relax_type_down","Relax type for the down cycles","None",HYPREBoomerAMGRelaxType,ALEN(HYPREBoomerAMGRelaxType),HYPREBoomerAMGRelaxType[6],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->relaxtype[0] = indx;
    PetscStackCallStandard(HYPRE_BoomerAMGSetCycleRelaxType,(jac->hsolver, indx, 1));
  }
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_relax_type_up","Relax type for the up cycles","None",HYPREBoomerAMGRelaxType,ALEN(HYPREBoomerAMGRelaxType),HYPREBoomerAMGRelaxType[6],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->relaxtype[1] = indx;
    PetscStackCallStandard(HYPRE_BoomerAMGSetCycleRelaxType,(jac->hsolver, indx, 2));
  }
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_relax_type_coarse","Relax type on coarse grid","None",HYPREBoomerAMGRelaxType,ALEN(HYPREBoomerAMGRelaxType),HYPREBoomerAMGRelaxType[9],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->relaxtype[2] = indx;
    PetscStackCallStandard(HYPRE_BoomerAMGSetCycleRelaxType,(jac->hsolver, indx, 3));
  }

  /* Relaxation Weight */
  ierr = PetscOptionsReal("-pc_hypre_boomeramg_relax_weight_all","Relaxation weight for all levels (0 = hypre estimates, -k = determined with k CG steps)","None",jac->relaxweight, &tmpdbl,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetRelaxWt,(jac->hsolver,tmpdbl));
    jac->relaxweight = tmpdbl;
  }

  n         = 2;
  twodbl[0] = twodbl[1] = 1.0;
  ierr      = PetscOptionsRealArray("-pc_hypre_boomeramg_relax_weight_level","Set the relaxation weight for a particular level (weight,level)","None",twodbl, &n, &flg);CHKERRQ(ierr);
  if (flg) {
    if (n == 2) {
      indx =  (int)PetscAbsReal(twodbl[1]);
      PetscStackCallStandard(HYPRE_BoomerAMGSetLevelRelaxWt,(jac->hsolver,twodbl[0],indx));
    } else SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Relax weight level: you must provide 2 values separated by a comma (and no space), you provided %d",n);
  }

  /* Outer relaxation Weight */
  ierr = PetscOptionsReal("-pc_hypre_boomeramg_outer_relax_weight_all","Outer relaxation weight for all levels (-k = determined with k CG steps)","None",jac->outerrelaxweight, &tmpdbl,&flg);CHKERRQ(ierr);
  if (flg) {
    PetscStackCallStandard(HYPRE_BoomerAMGSetOuterWt,(jac->hsolver, tmpdbl));
    jac->outerrelaxweight = tmpdbl;
  }

  n         = 2;
  twodbl[0] = twodbl[1] = 1.0;
  ierr      = PetscOptionsRealArray("-pc_hypre_boomeramg_outer_relax_weight_level","Set the outer relaxation weight for a particular level (weight,level)","None",twodbl, &n, &flg);CHKERRQ(ierr);
  if (flg) {
    if (n == 2) {
      indx =  (int)PetscAbsReal(twodbl[1]);
      PetscStackCallStandard(HYPRE_BoomerAMGSetLevelOuterWt,(jac->hsolver, twodbl[0], indx));
    } else SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Relax weight outer level: You must provide 2 values separated by a comma (and no space), you provided %d",n);
  }

  /* the Relax Order */
  ierr = PetscOptionsBool("-pc_hypre_boomeramg_no_CF", "Do not use CF-relaxation", "None", PETSC_FALSE, &tmp_truth, &flg);CHKERRQ(ierr);

  if (flg && tmp_truth) {
    jac->relaxorder = 0;
    PetscStackCallStandard(HYPRE_BoomerAMGSetRelaxOrder,(jac->hsolver, jac->relaxorder));
  }
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_measure_type","Measure type","None",HYPREBoomerAMGMeasureType,ALEN(HYPREBoomerAMGMeasureType),HYPREBoomerAMGMeasureType[0],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->measuretype = indx;
    PetscStackCallStandard(HYPRE_BoomerAMGSetMeasureType,(jac->hsolver,jac->measuretype));
  }
  /* update list length 3/07 */
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_coarsen_type","Coarsen type","None",HYPREBoomerAMGCoarsenType,ALEN(HYPREBoomerAMGCoarsenType),HYPREBoomerAMGCoarsenType[6],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->coarsentype = indx;
    PetscStackCallStandard(HYPRE_BoomerAMGSetCoarsenType,(jac->hsolver,jac->coarsentype));
  }

  /* new 3/07 */
  ierr = PetscOptionsEList("-pc_hypre_boomeramg_interp_type","Interpolation type","None",HYPREBoomerAMGInterpType,ALEN(HYPREBoomerAMGInterpType),HYPREBoomerAMGInterpType[0],&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    jac->interptype = indx;
    PetscStackCallStandard(HYPRE_BoomerAMGSetInterpType,(jac->hsolver,jac->interptype));
  }

  ierr = PetscOptionsName("-pc_hypre_boomeramg_print_statistics","Print statistics","None",&flg);CHKERRQ(ierr);
  if (flg) {
    level = 3;
    ierr = PetscOptionsInt("-pc_hypre_boomeramg_print_statistics","Print statistics","None",level,&level,NULL);CHKERRQ(ierr);

    jac->printstatistics = PETSC_TRUE;
    PetscStackCallStandard(HYPRE_BoomerAMGSetPrintLevel,(jac->hsolver,level));
  }

  ierr = PetscOptionsName("-pc_hypre_boomeramg_print_debug","Print debug information","None",&flg);CHKERRQ(ierr);
  if (flg) {
    level = 3;
    ierr = PetscOptionsInt("-pc_hypre_boomeramg_print_debug","Print debug information","None",level,&level,NULL);CHKERRQ(ierr);

    jac->printstatistics = PETSC_TRUE;
    PetscStackCallStandard(HYPRE_BoomerAMGSetDebugFlag,(jac->hsolver,level));
  }

  ierr = PetscOptionsBool("-pc_hypre_boomeramg_nodal_relaxation", "Nodal relaxation via Schwarz", "None", PETSC_FALSE, &tmp_truth, &flg);CHKERRQ(ierr);
  if (flg && tmp_truth) {
    PetscInt tmp_int;
    ierr = PetscOptionsInt("-pc_hypre_boomeramg_nodal_relaxation", "Nodal relaxation via Schwarz", "None",jac->nodal_relax_levels,&tmp_int,&flg);CHKERRQ(ierr);
    if (flg) jac->nodal_relax_levels = tmp_int;
    PetscStackCallStandard(HYPRE_BoomerAMGSetSmoothType,(jac->hsolver,6));
    PetscStackCallStandard(HYPRE_BoomerAMGSetDomainType,(jac->hsolver,1));
    PetscStackCallStandard(HYPRE_BoomerAMGSetOverlap,(jac->hsolver,0));
    PetscStackCallStandard(HYPRE_BoomerAMGSetSmoothNumLevels,(jac->hsolver,jac->nodal_relax_levels));
  }

  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCApplyRichardson_HYPRE_BoomerAMG(PC pc,Vec b,Vec y,Vec w,PetscReal rtol,PetscReal abstol, PetscReal dtol,PetscInt its,PetscBool guesszero,PetscInt *outits,PCRichardsonConvergedReason *reason)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscInt       oits;

  PetscFunctionBegin;
  ierr = PetscCitationsRegister(hypreCitation,&cite);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_BoomerAMGSetMaxIter,(jac->hsolver,its*jac->maxiter));
  PetscStackCallStandard(HYPRE_BoomerAMGSetTol,(jac->hsolver,rtol));
  jac->applyrichardson = PETSC_TRUE;
  ierr                 = PCApply_HYPRE(pc,b,y);CHKERRQ(ierr);
  jac->applyrichardson = PETSC_FALSE;
  PetscStackCallStandard(HYPRE_BoomerAMGGetNumIterations,(jac->hsolver,(HYPRE_Int *)&oits));
  *outits = oits;
  if (oits == its) *reason = PCRICHARDSON_CONVERGED_ITS;
  else             *reason = PCRICHARDSON_CONVERGED_RTOL;
  PetscStackCallStandard(HYPRE_BoomerAMGSetTol,(jac->hsolver,jac->tol));
  PetscStackCallStandard(HYPRE_BoomerAMGSetMaxIter,(jac->hsolver,jac->maxiter));
  PetscFunctionReturn(0);
}


static PetscErrorCode PCView_HYPRE_BoomerAMG(PC pc,PetscViewer viewer)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscBool      iascii;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE BoomerAMG preconditioning\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Cycle type %s\n",HYPREBoomerAMGCycleType[jac->cycletype]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Maximum number of levels %D\n",jac->maxlevels);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Maximum number of iterations PER hypre call %D\n",jac->maxiter);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Convergence tolerance PER hypre call %g\n",(double)jac->tol);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Threshold for strong coupling %g\n",(double)jac->strongthreshold);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Interpolation truncation factor %g\n",(double)jac->truncfactor);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Interpolation: max elements per row %D\n",jac->pmax);CHKERRQ(ierr);
    if (jac->interp_refine) {
      ierr = PetscViewerASCIIPrintf(viewer,"    Interpolation: number of steps of weighted refinement %D\n",jac->interp_refine);CHKERRQ(ierr);
    }
    ierr = PetscViewerASCIIPrintf(viewer,"    Number of levels of aggressive coarsening %D\n",jac->agg_nl);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Number of paths for aggressive coarsening %D\n",jac->agg_num_paths);CHKERRQ(ierr);

    ierr = PetscViewerASCIIPrintf(viewer,"    Maximum row sums %g\n",(double)jac->maxrowsum);CHKERRQ(ierr);

    ierr = PetscViewerASCIIPrintf(viewer,"    Sweeps down         %D\n",jac->gridsweeps[0]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Sweeps up           %D\n",jac->gridsweeps[1]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Sweeps on coarse    %D\n",jac->gridsweeps[2]);CHKERRQ(ierr);

    ierr = PetscViewerASCIIPrintf(viewer,"    Relax down          %s\n",HYPREBoomerAMGRelaxType[jac->relaxtype[0]]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Relax up            %s\n",HYPREBoomerAMGRelaxType[jac->relaxtype[1]]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Relax on coarse     %s\n",HYPREBoomerAMGRelaxType[jac->relaxtype[2]]);CHKERRQ(ierr);

    ierr = PetscViewerASCIIPrintf(viewer,"    Relax weight  (all)      %g\n",(double)jac->relaxweight);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Outer relax weight (all) %g\n",(double)jac->outerrelaxweight);CHKERRQ(ierr);

    if (jac->relaxorder) {
      ierr = PetscViewerASCIIPrintf(viewer,"    Using CF-relaxation\n");CHKERRQ(ierr);
    } else {
      ierr = PetscViewerASCIIPrintf(viewer,"    Not using CF-relaxation\n");CHKERRQ(ierr);
    }
    if (jac->smoothtype!=-1) {
      ierr = PetscViewerASCIIPrintf(viewer,"    Smooth type          %s\n",HYPREBoomerAMGSmoothType[jac->smoothtype]);CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"    Smooth num levels    %D\n",jac->smoothnumlevels);CHKERRQ(ierr);
    } else {
      ierr = PetscViewerASCIIPrintf(viewer,"    Not using more complex smoothers.\n");CHKERRQ(ierr);
    }
    if (jac->smoothtype==3) {
      ierr = PetscViewerASCIIPrintf(viewer,"    Euclid ILU(k) levels %D\n",jac->eu_level);CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"    Euclid ILU(k) drop tolerance %g\n",(double)jac->eu_droptolerance);CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"    Euclid ILU use Block-Jacobi? %D\n",jac->eu_bj);CHKERRQ(ierr);
    }
    ierr = PetscViewerASCIIPrintf(viewer,"    Measure type        %s\n",HYPREBoomerAMGMeasureType[jac->measuretype]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Coarsen type        %s\n",HYPREBoomerAMGCoarsenType[jac->coarsentype]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    Interpolation type  %s\n",HYPREBoomerAMGInterpType[jac->interptype]);CHKERRQ(ierr);
    if (jac->nodal_coarsening) {
      ierr = PetscViewerASCIIPrintf(viewer,"    Using nodal coarsening (with HYPRE_BOOMERAMGSetNodal() %D\n",jac->nodal_coarsening);CHKERRQ(ierr);
    }
    if (jac->vec_interp_variant) {
      ierr = PetscViewerASCIIPrintf(viewer,"    HYPRE_BoomerAMGSetInterpVecVariant() %D\n",jac->vec_interp_variant);CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"    HYPRE_BoomerAMGSetInterpVecQMax() %D\n",jac->vec_interp_qmax);CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"    HYPRE_BoomerAMGSetSmoothInterpVectors() %d\n",jac->vec_interp_smooth);CHKERRQ(ierr);
    }
    if (jac->nodal_relax) {
      ierr = PetscViewerASCIIPrintf(viewer,"    Using nodal relaxation via Schwarz smoothing on levels %D\n",jac->nodal_relax_levels);CHKERRQ(ierr);
    }
  }
  PetscFunctionReturn(0);
}

/* --------------------------------------------------------------------------------------------*/
static PetscErrorCode PCSetFromOptions_HYPRE_ParaSails(PetscOptionItems *PetscOptionsObject,PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscInt       indx;
  PetscBool      flag;
  const char     *symtlist[] = {"nonsymmetric","SPD","nonsymmetric,SPD"};

  PetscFunctionBegin;
  ierr = PetscOptionsHead(PetscOptionsObject,"HYPRE ParaSails Options");CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_hypre_parasails_nlevels","Number of number of levels","None",jac->nlevels,&jac->nlevels,0);CHKERRQ(ierr);
  ierr = PetscOptionsReal("-pc_hypre_parasails_thresh","Threshold","None",jac->threshhold,&jac->threshhold,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_ParaSailsSetParams,(jac->hsolver,jac->threshhold,jac->nlevels));

  ierr = PetscOptionsReal("-pc_hypre_parasails_filter","filter","None",jac->filter,&jac->filter,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_ParaSailsSetFilter,(jac->hsolver,jac->filter));

  ierr = PetscOptionsReal("-pc_hypre_parasails_loadbal","Load balance","None",jac->loadbal,&jac->loadbal,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_ParaSailsSetLoadbal,(jac->hsolver,jac->loadbal));

  ierr = PetscOptionsBool("-pc_hypre_parasails_logging","Print info to screen","None",(PetscBool)jac->logging,(PetscBool*)&jac->logging,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_ParaSailsSetLogging,(jac->hsolver,jac->logging));

  ierr = PetscOptionsBool("-pc_hypre_parasails_reuse","Reuse nonzero pattern in preconditioner","None",(PetscBool)jac->ruse,(PetscBool*)&jac->ruse,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_ParaSailsSetReuse,(jac->hsolver,jac->ruse));

  ierr = PetscOptionsEList("-pc_hypre_parasails_sym","Symmetry of matrix and preconditioner","None",symtlist,ALEN(symtlist),symtlist[0],&indx,&flag);CHKERRQ(ierr);
  if (flag) {
    jac->symt = indx;
    PetscStackCallStandard(HYPRE_ParaSailsSetSym,(jac->hsolver,jac->symt));
  }

  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCView_HYPRE_ParaSails(PC pc,PetscViewer viewer)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscBool      iascii;
  const char     *symt = 0;;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE ParaSails preconditioning\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    nlevels %d\n",jac->nlevels);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    threshold %g\n",(double)jac->threshhold);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    filter %g\n",(double)jac->filter);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    load balance %g\n",(double)jac->loadbal);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    reuse nonzero structure %s\n",PetscBools[jac->ruse]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    print info to screen %s\n",PetscBools[jac->logging]);CHKERRQ(ierr);
    if (!jac->symt) symt = "nonsymmetric matrix and preconditioner";
    else if (jac->symt == 1) symt = "SPD matrix and preconditioner";
    else if (jac->symt == 2) symt = "nonsymmetric matrix but SPD preconditioner";
    else SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONG,"Unknown HYPRE ParaSails symmetric option %d",jac->symt);
    ierr = PetscViewerASCIIPrintf(viewer,"    %s\n",symt);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}
/* --------------------------------------------------------------------------------------------*/
static PetscErrorCode PCSetFromOptions_HYPRE_AMS(PetscOptionItems *PetscOptionsObject,PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscInt       n;
  PetscBool      flag,flag2,flag3,flag4;

  PetscFunctionBegin;
  ierr = PetscOptionsHead(PetscOptionsObject,"HYPRE AMS Options");CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_hypre_ams_print_level","Debugging output level for AMS","None",jac->as_print,&jac->as_print,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_AMSSetPrintLevel,(jac->hsolver,jac->as_print));
  ierr = PetscOptionsInt("-pc_hypre_ams_max_iter","Maximum number of AMS multigrid iterations within PCApply","None",jac->as_max_iter,&jac->as_max_iter,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_AMSSetMaxIter,(jac->hsolver,jac->as_max_iter));
  ierr = PetscOptionsInt("-pc_hypre_ams_cycle_type","Cycle type for AMS multigrid","None",jac->ams_cycle_type,&jac->ams_cycle_type,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_AMSSetCycleType,(jac->hsolver,jac->ams_cycle_type));
  ierr = PetscOptionsReal("-pc_hypre_ams_tol","Error tolerance for AMS multigrid","None",jac->as_tol,&jac->as_tol,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_AMSSetTol,(jac->hsolver,jac->as_tol));
  ierr = PetscOptionsInt("-pc_hypre_ams_relax_type","Relaxation type for AMS smoother","None",jac->as_relax_type,&jac->as_relax_type,&flag);CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_hypre_ams_relax_times","Number of relaxation steps for AMS smoother","None",jac->as_relax_times,&jac->as_relax_times,&flag2);CHKERRQ(ierr);
  ierr = PetscOptionsReal("-pc_hypre_ams_relax_weight","Relaxation weight for AMS smoother","None",jac->as_relax_weight,&jac->as_relax_weight,&flag3);CHKERRQ(ierr);
  ierr = PetscOptionsReal("-pc_hypre_ams_omega","SSOR coefficient for AMS smoother","None",jac->as_omega,&jac->as_omega,&flag4);CHKERRQ(ierr);
  if (flag || flag2 || flag3 || flag4) {
    PetscStackCallStandard(HYPRE_AMSSetSmoothingOptions,(jac->hsolver,jac->as_relax_type,
                                                                      jac->as_relax_times,
                                                                      jac->as_relax_weight,
                                                                      jac->as_omega));
  }
  ierr = PetscOptionsReal("-pc_hypre_ams_amg_alpha_theta","Threshold for strong coupling of vector Poisson AMG solver","None",jac->as_amg_alpha_theta,&jac->as_amg_alpha_theta,&flag);CHKERRQ(ierr);
  n = 5;
  ierr = PetscOptionsIntArray("-pc_hypre_ams_amg_alpha_options","AMG options for vector Poisson","None",jac->as_amg_alpha_opts,&n,&flag2);CHKERRQ(ierr);
  if (flag || flag2) {
    PetscStackCallStandard(HYPRE_AMSSetAlphaAMGOptions,(jac->hsolver,jac->as_amg_alpha_opts[0],       /* AMG coarsen type */
                                                                     jac->as_amg_alpha_opts[1],       /* AMG agg_levels */
                                                                     jac->as_amg_alpha_opts[2],       /* AMG relax_type */
                                                                     jac->as_amg_alpha_theta,
                                                                     jac->as_amg_alpha_opts[3],       /* AMG interp_type */
                                                                     jac->as_amg_alpha_opts[4]));     /* AMG Pmax */
  }
  ierr = PetscOptionsReal("-pc_hypre_ams_amg_beta_theta","Threshold for strong coupling of scalar Poisson AMG solver","None",jac->as_amg_beta_theta,&jac->as_amg_beta_theta,&flag);CHKERRQ(ierr);
  n = 5;
  ierr = PetscOptionsIntArray("-pc_hypre_ams_amg_beta_options","AMG options for scalar Poisson solver","None",jac->as_amg_beta_opts,&n,&flag2);CHKERRQ(ierr);
  if (flag || flag2) {
    PetscStackCallStandard(HYPRE_AMSSetBetaAMGOptions,(jac->hsolver,jac->as_amg_beta_opts[0],       /* AMG coarsen type */
                                                                    jac->as_amg_beta_opts[1],       /* AMG agg_levels */
                                                                    jac->as_amg_beta_opts[2],       /* AMG relax_type */
                                                                    jac->as_amg_beta_theta,
                                                                    jac->as_amg_beta_opts[3],       /* AMG interp_type */
                                                                    jac->as_amg_beta_opts[4]));     /* AMG Pmax */
  }
  ierr = PetscOptionsInt("-pc_hypre_ams_projection_frequency","Frequency at which a projection onto the compatible subspace for problems with zero conductivity regions is performed","None",jac->ams_proj_freq,&jac->ams_proj_freq,&flag);CHKERRQ(ierr);
  if (flag) { /* override HYPRE's default only if the options is used */
    PetscStackCallStandard(HYPRE_AMSSetProjectionFrequency,(jac->hsolver,jac->ams_proj_freq));
  }
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCView_HYPRE_AMS(PC pc,PetscViewer viewer)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscBool      iascii;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE AMS preconditioning\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    subspace iterations per application %d\n",jac->as_max_iter);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    subspace cycle type %d\n",jac->ams_cycle_type);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    subspace iteration tolerance %g\n",jac->as_tol);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    smoother type %d\n",jac->as_relax_type);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    number of smoothing steps %d\n",jac->as_relax_times);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    smoother weight %g\n",jac->as_relax_weight);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    smoother omega %g\n",jac->as_omega);CHKERRQ(ierr);
    if (jac->alpha_Poisson) {
      ierr = PetscViewerASCIIPrintf(viewer,"    vector Poisson solver (passed in by user)\n");CHKERRQ(ierr);
    } else {
      ierr = PetscViewerASCIIPrintf(viewer,"    vector Poisson solver (computed) \n");CHKERRQ(ierr);
    }
    ierr = PetscViewerASCIIPrintf(viewer,"        boomerAMG coarsening type %d\n",jac->as_amg_alpha_opts[0]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        boomerAMG levels of aggressive coarsening %d\n",jac->as_amg_alpha_opts[1]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        boomerAMG relaxation type %d\n",jac->as_amg_alpha_opts[2]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        boomerAMG interpolation type %d\n",jac->as_amg_alpha_opts[3]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        boomerAMG max nonzero elements in interpolation rows %d\n",jac->as_amg_alpha_opts[4]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        boomerAMG strength threshold %g\n",jac->as_amg_alpha_theta);CHKERRQ(ierr);
    if (!jac->ams_beta_is_zero) {
      if (jac->beta_Poisson) {
        ierr = PetscViewerASCIIPrintf(viewer,"    scalar Poisson solver (passed in by user)\n");CHKERRQ(ierr);
      } else {
        ierr = PetscViewerASCIIPrintf(viewer,"    scalar Poisson solver (computed) \n");CHKERRQ(ierr);
      }
      ierr = PetscViewerASCIIPrintf(viewer,"        boomerAMG coarsening type %d\n",jac->as_amg_beta_opts[0]);CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"        boomerAMG levels of aggressive coarsening %d\n",jac->as_amg_beta_opts[1]);CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"        boomerAMG relaxation type %d\n",jac->as_amg_beta_opts[2]);CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"        boomerAMG interpolation type %d\n",jac->as_amg_beta_opts[3]);CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"        boomerAMG max nonzero elements in interpolation rows %d\n",jac->as_amg_beta_opts[4]);CHKERRQ(ierr);
      ierr = PetscViewerASCIIPrintf(viewer,"        boomerAMG strength threshold %g\n",jac->as_amg_beta_theta);CHKERRQ(ierr);
      if (jac->ams_beta_is_zero_part) {
        ierr = PetscViewerASCIIPrintf(viewer,"        compatible subspace projection frequency %d (-1 HYPRE uses default)\n",jac->ams_proj_freq);CHKERRQ(ierr);
      }
    } else {
      ierr = PetscViewerASCIIPrintf(viewer,"    scalar Poisson solver not used (zero-conductivity everywhere) \n");CHKERRQ(ierr);
    }
  }
  PetscFunctionReturn(0);
}

static PetscErrorCode PCSetFromOptions_HYPRE_ADS(PetscOptionItems *PetscOptionsObject,PC pc)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscInt       n;
  PetscBool      flag,flag2,flag3,flag4;

  PetscFunctionBegin;
  ierr = PetscOptionsHead(PetscOptionsObject,"HYPRE ADS Options");CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_hypre_ads_print_level","Debugging output level for ADS","None",jac->as_print,&jac->as_print,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_ADSSetPrintLevel,(jac->hsolver,jac->as_print));
  ierr = PetscOptionsInt("-pc_hypre_ads_max_iter","Maximum number of ADS multigrid iterations within PCApply","None",jac->as_max_iter,&jac->as_max_iter,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_ADSSetMaxIter,(jac->hsolver,jac->as_max_iter));
  ierr = PetscOptionsInt("-pc_hypre_ads_cycle_type","Cycle type for ADS multigrid","None",jac->ads_cycle_type,&jac->ads_cycle_type,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_ADSSetCycleType,(jac->hsolver,jac->ads_cycle_type));
  ierr = PetscOptionsReal("-pc_hypre_ads_tol","Error tolerance for ADS multigrid","None",jac->as_tol,&jac->as_tol,&flag);CHKERRQ(ierr);
  if (flag) PetscStackCallStandard(HYPRE_ADSSetTol,(jac->hsolver,jac->as_tol));
  ierr = PetscOptionsInt("-pc_hypre_ads_relax_type","Relaxation type for ADS smoother","None",jac->as_relax_type,&jac->as_relax_type,&flag);CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_hypre_ads_relax_times","Number of relaxation steps for ADS smoother","None",jac->as_relax_times,&jac->as_relax_times,&flag2);CHKERRQ(ierr);
  ierr = PetscOptionsReal("-pc_hypre_ads_relax_weight","Relaxation weight for ADS smoother","None",jac->as_relax_weight,&jac->as_relax_weight,&flag3);CHKERRQ(ierr);
  ierr = PetscOptionsReal("-pc_hypre_ads_omega","SSOR coefficient for ADS smoother","None",jac->as_omega,&jac->as_omega,&flag4);CHKERRQ(ierr);
  if (flag || flag2 || flag3 || flag4) {
    PetscStackCallStandard(HYPRE_ADSSetSmoothingOptions,(jac->hsolver,jac->as_relax_type,
                                                                      jac->as_relax_times,
                                                                      jac->as_relax_weight,
                                                                      jac->as_omega));
  }
  ierr = PetscOptionsReal("-pc_hypre_ads_ams_theta","Threshold for strong coupling of AMS solver inside ADS","None",jac->as_amg_alpha_theta,&jac->as_amg_alpha_theta,&flag);CHKERRQ(ierr);
  n = 5;
  ierr = PetscOptionsIntArray("-pc_hypre_ads_ams_options","AMG options for AMS solver inside ADS","None",jac->as_amg_alpha_opts,&n,&flag2);CHKERRQ(ierr);
  ierr = PetscOptionsInt("-pc_hypre_ads_ams_cycle_type","Cycle type for AMS solver inside ADS","None",jac->ams_cycle_type,&jac->ams_cycle_type,&flag3);CHKERRQ(ierr);
  if (flag || flag2 || flag3) {
    PetscStackCallStandard(HYPRE_ADSSetAMSOptions,(jac->hsolver,jac->ams_cycle_type,             /* AMS cycle type */
                                                                jac->as_amg_alpha_opts[0],       /* AMG coarsen type */
                                                                jac->as_amg_alpha_opts[1],       /* AMG agg_levels */
                                                                jac->as_amg_alpha_opts[2],       /* AMG relax_type */
                                                                jac->as_amg_alpha_theta,
                                                                jac->as_amg_alpha_opts[3],       /* AMG interp_type */
                                                                jac->as_amg_alpha_opts[4]));     /* AMG Pmax */
  }
  ierr = PetscOptionsReal("-pc_hypre_ads_amg_theta","Threshold for strong coupling of vector AMG solver inside ADS","None",jac->as_amg_beta_theta,&jac->as_amg_beta_theta,&flag);CHKERRQ(ierr);
  n = 5;
  ierr = PetscOptionsIntArray("-pc_hypre_ads_amg_options","AMG options for vector AMG solver inside ADS","None",jac->as_amg_beta_opts,&n,&flag2);CHKERRQ(ierr);
  if (flag || flag2) {
    PetscStackCallStandard(HYPRE_ADSSetAMGOptions,(jac->hsolver,jac->as_amg_beta_opts[0],       /* AMG coarsen type */
                                                                jac->as_amg_beta_opts[1],       /* AMG agg_levels */
                                                                jac->as_amg_beta_opts[2],       /* AMG relax_type */
                                                                jac->as_amg_beta_theta,
                                                                jac->as_amg_beta_opts[3],       /* AMG interp_type */
                                                                jac->as_amg_beta_opts[4]));     /* AMG Pmax */
  }
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCView_HYPRE_ADS(PC pc,PetscViewer viewer)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscBool      iascii;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE ADS preconditioning\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    subspace iterations per application %d\n",jac->as_max_iter);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    subspace cycle type %d\n",jac->ads_cycle_type);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    subspace iteration tolerance %g\n",jac->as_tol);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    smoother type %d\n",jac->as_relax_type);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    number of smoothing steps %d\n",jac->as_relax_times);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    smoother weight %g\n",jac->as_relax_weight);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    smoother omega %g\n",jac->as_omega);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    AMS solver using boomerAMG\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        subspace cycle type %d\n",jac->ams_cycle_type);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        coarsening type %d\n",jac->as_amg_alpha_opts[0]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        levels of aggressive coarsening %d\n",jac->as_amg_alpha_opts[1]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        relaxation type %d\n",jac->as_amg_alpha_opts[2]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        interpolation type %d\n",jac->as_amg_alpha_opts[3]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        max nonzero elements in interpolation rows %d\n",jac->as_amg_alpha_opts[4]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        strength threshold %g\n",jac->as_amg_alpha_theta);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    vector Poisson solver using boomerAMG\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        coarsening type %d\n",jac->as_amg_beta_opts[0]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        levels of aggressive coarsening %d\n",jac->as_amg_beta_opts[1]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        relaxation type %d\n",jac->as_amg_beta_opts[2]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        interpolation type %d\n",jac->as_amg_beta_opts[3]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        max nonzero elements in interpolation rows %d\n",jac->as_amg_beta_opts[4]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"        strength threshold %g\n",jac->as_amg_beta_theta);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

static PetscErrorCode PCHYPRESetDiscreteGradient_HYPRE(PC pc, Mat G)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscBool      ishypre;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)G,MATHYPRE,&ishypre);CHKERRQ(ierr);
  if (ishypre) {
    ierr = PetscObjectReference((PetscObject)G);CHKERRQ(ierr);
    ierr = MatDestroy(&jac->G);CHKERRQ(ierr);
    jac->G = G;
  } else {
    ierr = MatDestroy(&jac->G);CHKERRQ(ierr);
    ierr = MatConvert(G,MATHYPRE,MAT_INITIAL_MATRIX,&jac->G);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

/*@
 PCHYPRESetDiscreteGradient - Set discrete gradient matrix

   Collective on PC

   Input Parameters:
+  pc - the preconditioning context
-  G - the discrete gradient

   Level: intermediate

   Notes:
    G should have as many rows as the number of edges and as many columns as the number of vertices in the mesh
          Each row of G has 2 nonzeros, with column indexes being the global indexes of edge's endpoints: matrix entries are +1 and -1 depending on edge orientation

.seealso:
@*/
PetscErrorCode PCHYPRESetDiscreteGradient(PC pc, Mat G)
{
  PetscErrorCode ierr;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_CLASSID,1);
  PetscValidHeaderSpecific(G,MAT_CLASSID,2);
  PetscCheckSameComm(pc,1,G,2);
  ierr = PetscTryMethod(pc,"PCHYPRESetDiscreteGradient_C",(PC,Mat),(pc,G));CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCHYPRESetDiscreteCurl_HYPRE(PC pc, Mat C)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscBool      ishypre;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)C,MATHYPRE,&ishypre);CHKERRQ(ierr);
  if (ishypre) {
    ierr = PetscObjectReference((PetscObject)C);CHKERRQ(ierr);
    ierr = MatDestroy(&jac->C);CHKERRQ(ierr);
    jac->C = C;
  } else {
    ierr = MatDestroy(&jac->C);CHKERRQ(ierr);
    ierr = MatConvert(C,MATHYPRE,MAT_INITIAL_MATRIX,&jac->C);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

/*@
 PCHYPRESetDiscreteCurl - Set discrete curl matrix

   Collective on PC

   Input Parameters:
+  pc - the preconditioning context
-  C - the discrete curl

   Level: intermediate

   Notes:
    C should have as many rows as the number of faces and as many columns as the number of edges in the mesh
          Each row of G has as many nonzeros as the number of edges of a face, with column indexes being the global indexes of the corresponding edge: matrix entries are +1 and -1 depending on edge orientation with respect to the face orientation

.seealso:
@*/
PetscErrorCode PCHYPRESetDiscreteCurl(PC pc, Mat C)
{
  PetscErrorCode ierr;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_CLASSID,1);
  PetscValidHeaderSpecific(C,MAT_CLASSID,2);
  PetscCheckSameComm(pc,1,C,2);
  ierr = PetscTryMethod(pc,"PCHYPRESetDiscreteCurl_C",(PC,Mat),(pc,C));CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCHYPRESetInterpolations_HYPRE(PC pc, PetscInt dim, Mat RT_PiFull, Mat RT_Pi[], Mat ND_PiFull, Mat ND_Pi[])
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscBool      ishypre;
  PetscErrorCode ierr;
  PetscInt       i;
  PetscFunctionBegin;

  ierr = MatDestroy(&jac->RT_PiFull);CHKERRQ(ierr);
  ierr = MatDestroy(&jac->ND_PiFull);CHKERRQ(ierr);
  for (i=0;i<3;++i) {
    ierr = MatDestroy(&jac->RT_Pi[i]);CHKERRQ(ierr);
    ierr = MatDestroy(&jac->ND_Pi[i]);CHKERRQ(ierr);
  }

  jac->dim = dim;
  if (RT_PiFull) {
    ierr = PetscObjectTypeCompare((PetscObject)RT_PiFull,MATHYPRE,&ishypre);CHKERRQ(ierr);
    if (ishypre) {
      ierr = PetscObjectReference((PetscObject)RT_PiFull);CHKERRQ(ierr);
      jac->RT_PiFull = RT_PiFull;
    } else {
      ierr = MatConvert(RT_PiFull,MATHYPRE,MAT_INITIAL_MATRIX,&jac->RT_PiFull);CHKERRQ(ierr);
    }
  }
  if (RT_Pi) {
    for (i=0;i<dim;++i) {
      if (RT_Pi[i]) {
        ierr = PetscObjectTypeCompare((PetscObject)RT_Pi[i],MATHYPRE,&ishypre);CHKERRQ(ierr);
        if (ishypre) {
          ierr = PetscObjectReference((PetscObject)RT_Pi[i]);CHKERRQ(ierr);
          jac->RT_Pi[i] = RT_Pi[i];
        } else {
          ierr = MatConvert(RT_Pi[i],MATHYPRE,MAT_INITIAL_MATRIX,&jac->RT_Pi[i]);CHKERRQ(ierr);
        }
      }
    }
  }
  if (ND_PiFull) {
    ierr = PetscObjectTypeCompare((PetscObject)ND_PiFull,MATHYPRE,&ishypre);CHKERRQ(ierr);
    if (ishypre) {
      ierr = PetscObjectReference((PetscObject)ND_PiFull);CHKERRQ(ierr);
      jac->ND_PiFull = ND_PiFull;
    } else {
      ierr = MatConvert(ND_PiFull,MATHYPRE,MAT_INITIAL_MATRIX,&jac->ND_PiFull);CHKERRQ(ierr);
    }
  }
  if (ND_Pi) {
    for (i=0;i<dim;++i) {
      if (ND_Pi[i]) {
        ierr = PetscObjectTypeCompare((PetscObject)ND_Pi[i],MATHYPRE,&ishypre);CHKERRQ(ierr);
        if (ishypre) {
          ierr = PetscObjectReference((PetscObject)ND_Pi[i]);CHKERRQ(ierr);
          jac->ND_Pi[i] = ND_Pi[i];
        } else {
          ierr = MatConvert(ND_Pi[i],MATHYPRE,MAT_INITIAL_MATRIX,&jac->ND_Pi[i]);CHKERRQ(ierr);
        }
      }
    }
  }

  PetscFunctionReturn(0);
}

/*@
 PCHYPRESetInterpolations - Set interpolation matrices for AMS/ADS preconditioner

   Collective on PC

   Input Parameters:
+  pc - the preconditioning context
-  dim - the dimension of the problem, only used in AMS
-  RT_PiFull - Raviart-Thomas interpolation matrix
-  RT_Pi - x/y/z component of Raviart-Thomas interpolation matrix
-  ND_PiFull - Nedelec interpolation matrix
-  ND_Pi - x/y/z component of Nedelec interpolation matrix

   Notes:
    For AMS, only Nedelec interpolation matrices are needed, the Raviart-Thomas interpolation matrices can be set to NULL.
          For ADS, both type of interpolation matrices are needed.
   Level: intermediate

.seealso:
@*/
PetscErrorCode PCHYPRESetInterpolations(PC pc, PetscInt dim, Mat RT_PiFull, Mat RT_Pi[], Mat ND_PiFull, Mat ND_Pi[])
{
  PetscErrorCode ierr;
  PetscInt       i;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_CLASSID,1);
  if (RT_PiFull) {
    PetscValidHeaderSpecific(RT_PiFull,MAT_CLASSID,3);
    PetscCheckSameComm(pc,1,RT_PiFull,3);
  }
  if (RT_Pi) {
    PetscValidPointer(RT_Pi,4);
    for (i=0;i<dim;++i) {
      if (RT_Pi[i]) {
        PetscValidHeaderSpecific(RT_Pi[i],MAT_CLASSID,4);
        PetscCheckSameComm(pc,1,RT_Pi[i],4);
      }
    }
  }
  if (ND_PiFull) {
    PetscValidHeaderSpecific(ND_PiFull,MAT_CLASSID,5);
    PetscCheckSameComm(pc,1,ND_PiFull,5);
  }
  if (ND_Pi) {
    PetscValidPointer(ND_Pi,6);
    for (i=0;i<dim;++i) {
      if (ND_Pi[i]) {
        PetscValidHeaderSpecific(ND_Pi[i],MAT_CLASSID,6);
        PetscCheckSameComm(pc,1,ND_Pi[i],6);
      }
    }
  }
  ierr = PetscTryMethod(pc,"PCHYPRESetInterpolations_C",(PC,PetscInt,Mat,Mat[],Mat,Mat[]),(pc,dim,RT_PiFull,RT_Pi,ND_PiFull,ND_Pi));CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCHYPRESetPoissonMatrix_HYPRE(PC pc, Mat A, PetscBool isalpha)
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscBool      ishypre;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)A,MATHYPRE,&ishypre);CHKERRQ(ierr);
  if (ishypre) {
    if (isalpha) {
      ierr = PetscObjectReference((PetscObject)A);CHKERRQ(ierr);
      ierr = MatDestroy(&jac->alpha_Poisson);CHKERRQ(ierr);
      jac->alpha_Poisson = A;
    } else {
      if (A) {
        ierr = PetscObjectReference((PetscObject)A);CHKERRQ(ierr);
      } else {
        jac->ams_beta_is_zero = PETSC_TRUE;
      }
      ierr = MatDestroy(&jac->beta_Poisson);CHKERRQ(ierr);
      jac->beta_Poisson = A;
    }
  } else {
    if (isalpha) {
      ierr = MatDestroy(&jac->alpha_Poisson);CHKERRQ(ierr);
      ierr = MatConvert(A,MATHYPRE,MAT_INITIAL_MATRIX,&jac->alpha_Poisson);CHKERRQ(ierr);
    } else {
      if (A) {
        ierr = MatDestroy(&jac->beta_Poisson);CHKERRQ(ierr);
        ierr = MatConvert(A,MATHYPRE,MAT_INITIAL_MATRIX,&jac->beta_Poisson);CHKERRQ(ierr);
      } else {
        ierr = MatDestroy(&jac->beta_Poisson);CHKERRQ(ierr);
        jac->ams_beta_is_zero = PETSC_TRUE;
      }
    }
  }
  PetscFunctionReturn(0);
}

/*@
 PCHYPRESetAlphaPoissonMatrix - Set vector Poisson matrix

   Collective on PC

   Input Parameters:
+  pc - the preconditioning context
-  A - the matrix

   Level: intermediate

   Notes:
    A should be obtained by discretizing the vector valued Poisson problem with linear finite elements

.seealso:
@*/
PetscErrorCode PCHYPRESetAlphaPoissonMatrix(PC pc, Mat A)
{
  PetscErrorCode ierr;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_CLASSID,1);
  PetscValidHeaderSpecific(A,MAT_CLASSID,2);
  PetscCheckSameComm(pc,1,A,2);
  ierr = PetscTryMethod(pc,"PCHYPRESetPoissonMatrix_C",(PC,Mat,PetscBool),(pc,A,PETSC_TRUE));CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

/*@
 PCHYPRESetBetaPoissonMatrix - Set Poisson matrix

   Collective on PC

   Input Parameters:
+  pc - the preconditioning context
-  A - the matrix

   Level: intermediate

   Notes:
    A should be obtained by discretizing the Poisson problem with linear finite elements.
          Following HYPRE convention, the scalar Poisson solver of AMS can be turned off by passing NULL.

.seealso:
@*/
PetscErrorCode PCHYPRESetBetaPoissonMatrix(PC pc, Mat A)
{
  PetscErrorCode ierr;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_CLASSID,1);
  if (A) {
    PetscValidHeaderSpecific(A,MAT_CLASSID,2);
    PetscCheckSameComm(pc,1,A,2);
  }
  ierr = PetscTryMethod(pc,"PCHYPRESetPoissonMatrix_C",(PC,Mat,PetscBool),(pc,A,PETSC_FALSE));CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCHYPRESetEdgeConstantVectors_HYPRE(PC pc,Vec ozz, Vec zoz, Vec zzo)
{
  PC_HYPRE           *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode     ierr;

  PetscFunctionBegin;
  /* throw away any vector if already set */
  if (jac->constants[0]) PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->constants[0]));
  if (jac->constants[1]) PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->constants[1]));
  if (jac->constants[2]) PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->constants[2]));
  jac->constants[0] = NULL;
  jac->constants[1] = NULL;
  jac->constants[2] = NULL;
  ierr = VecHYPRE_IJVectorCreate(ozz,&jac->constants[0]);CHKERRQ(ierr);
  ierr = VecHYPRE_IJVectorCopy(ozz,jac->constants[0]);CHKERRQ(ierr);
  ierr = VecHYPRE_IJVectorCreate(zoz,&jac->constants[1]);CHKERRQ(ierr);
  ierr = VecHYPRE_IJVectorCopy(zoz,jac->constants[1]);CHKERRQ(ierr);
  jac->dim = 2;
  if (zzo) {
    ierr = VecHYPRE_IJVectorCreate(zzo,&jac->constants[2]);CHKERRQ(ierr);
    ierr = VecHYPRE_IJVectorCopy(zzo,jac->constants[2]);CHKERRQ(ierr);
    jac->dim++;
  }
  PetscFunctionReturn(0);
}

/*@
 PCHYPRESetEdgeConstantVectors - Set the representation of the constant vector fields in edge element basis

   Collective on PC

   Input Parameters:
+  pc - the preconditioning context
-  ozz - vector representing (1,0,0) (or (1,0) in 2D)
-  zoz - vector representing (0,1,0) (or (0,1) in 2D)
-  zzo - vector representing (0,0,1) (use NULL in 2D)

   Level: intermediate

   Notes:

.seealso:
@*/
PetscErrorCode PCHYPRESetEdgeConstantVectors(PC pc, Vec ozz, Vec zoz, Vec zzo)
{
  PetscErrorCode ierr;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_CLASSID,1);
  PetscValidHeaderSpecific(ozz,VEC_CLASSID,2);
  PetscValidHeaderSpecific(zoz,VEC_CLASSID,3);
  if (zzo) PetscValidHeaderSpecific(zzo,VEC_CLASSID,4);
  PetscCheckSameComm(pc,1,ozz,2);
  PetscCheckSameComm(pc,1,zoz,3);
  if (zzo) PetscCheckSameComm(pc,1,zzo,4);
  ierr = PetscTryMethod(pc,"PCHYPRESetEdgeConstantVectors_C",(PC,Vec,Vec,Vec),(pc,ozz,zoz,zzo));CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCSetCoordinates_HYPRE(PC pc, PetscInt dim, PetscInt nloc, PetscReal *coords)
{
  PC_HYPRE        *jac = (PC_HYPRE*)pc->data;
  Vec             tv;
  PetscInt        i;
  PetscErrorCode  ierr;

  PetscFunctionBegin;
  /* throw away any coordinate vector if already set */
  if (jac->coords[0]) PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->coords[0]));
  if (jac->coords[1]) PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->coords[1]));
  if (jac->coords[2]) PetscStackCallStandard(HYPRE_IJVectorDestroy,(jac->coords[2]));
  jac->dim = dim;

  /* compute IJ vector for coordinates */
  ierr = VecCreate(PetscObjectComm((PetscObject)pc),&tv);CHKERRQ(ierr);
  ierr = VecSetType(tv,VECSTANDARD);CHKERRQ(ierr);
  ierr = VecSetSizes(tv,nloc,PETSC_DECIDE);CHKERRQ(ierr);
  for (i=0;i<dim;i++) {
    PetscScalar *array;
    PetscInt    j;

    ierr = VecHYPRE_IJVectorCreate(tv,&jac->coords[i]);CHKERRQ(ierr);
    ierr = VecGetArray(tv,&array);CHKERRQ(ierr);
    for (j=0;j<nloc;j++) {
      array[j] = coords[j*dim+i];
    }
    PetscStackCallStandard(HYPRE_IJVectorSetValues,(jac->coords[i],nloc,NULL,array));
    PetscStackCallStandard(HYPRE_IJVectorAssemble,(jac->coords[i]));
    ierr = VecRestoreArray(tv,&array);CHKERRQ(ierr);
  }
  ierr = VecDestroy(&tv);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

/* ---------------------------------------------------------------------------------*/

static PetscErrorCode  PCHYPREGetType_HYPRE(PC pc,const char *name[])
{
  PC_HYPRE *jac = (PC_HYPRE*)pc->data;

  PetscFunctionBegin;
  *name = jac->hypre_type;
  PetscFunctionReturn(0);
}

static PetscErrorCode  PCHYPRESetType_HYPRE(PC pc,const char name[])
{
  PC_HYPRE       *jac = (PC_HYPRE*)pc->data;
  PetscErrorCode ierr;
  PetscBool      flag;

  PetscFunctionBegin;
  if (jac->hypre_type) {
    ierr = PetscStrcmp(jac->hypre_type,name,&flag);CHKERRQ(ierr);
    if (!flag) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ORDER,"Cannot reset the HYPRE preconditioner type once it has been set");
    PetscFunctionReturn(0);
  } else {
    ierr = PetscStrallocpy(name, &jac->hypre_type);CHKERRQ(ierr);
  }

  jac->maxiter         = PETSC_DEFAULT;
  jac->tol             = PETSC_DEFAULT;
  jac->printstatistics = PetscLogPrintInfo;

  ierr = PetscStrcmp("pilut",jac->hypre_type,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr = MPI_Comm_dup(PetscObjectComm((PetscObject)pc),&(jac->comm_hypre));CHKERRQ(ierr);
    PetscStackCallStandard(HYPRE_ParCSRPilutCreate,(jac->comm_hypre,&jac->hsolver));
    pc->ops->setfromoptions = PCSetFromOptions_HYPRE_Pilut;
    pc->ops->view           = PCView_HYPRE_Pilut;
    jac->destroy            = HYPRE_ParCSRPilutDestroy;
    jac->setup              = HYPRE_ParCSRPilutSetup;
    jac->solve              = HYPRE_ParCSRPilutSolve;
    jac->factorrowsize      = PETSC_DEFAULT;
    PetscFunctionReturn(0);
  }
  ierr = PetscStrcmp("euclid",jac->hypre_type,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr = MPI_Comm_dup(PetscObjectComm((PetscObject)pc),&(jac->comm_hypre));CHKERRQ(ierr);
    PetscStackCallStandard(HYPRE_EuclidCreate,(jac->comm_hypre,&jac->hsolver));
    pc->ops->setfromoptions = PCSetFromOptions_HYPRE_Euclid;
    pc->ops->view           = PCView_HYPRE_Euclid;
    jac->destroy            = HYPRE_EuclidDestroy;
    jac->setup              = HYPRE_EuclidSetup;
    jac->solve              = HYPRE_EuclidSolve;
    jac->factorrowsize      = PETSC_DEFAULT;
    jac->eu_level           = PETSC_DEFAULT; /* default */
    PetscFunctionReturn(0);
  }
  ierr = PetscStrcmp("parasails",jac->hypre_type,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr = MPI_Comm_dup(PetscObjectComm((PetscObject)pc),&(jac->comm_hypre));CHKERRQ(ierr);
    PetscStackCallStandard(HYPRE_ParaSailsCreate,(jac->comm_hypre,&jac->hsolver));
    pc->ops->setfromoptions = PCSetFromOptions_HYPRE_ParaSails;
    pc->ops->view           = PCView_HYPRE_ParaSails;
    jac->destroy            = HYPRE_ParaSailsDestroy;
    jac->setup              = HYPRE_ParaSailsSetup;
    jac->solve              = HYPRE_ParaSailsSolve;
    /* initialize */
    jac->nlevels    = 1;
    jac->threshhold = .1;
    jac->filter     = .1;
    jac->loadbal    = 0;
    if (PetscLogPrintInfo) jac->logging = (int) PETSC_TRUE;
    else jac->logging = (int) PETSC_FALSE;

    jac->ruse = (int) PETSC_FALSE;
    jac->symt = 0;
    PetscStackCallStandard(HYPRE_ParaSailsSetParams,(jac->hsolver,jac->threshhold,jac->nlevels));
    PetscStackCallStandard(HYPRE_ParaSailsSetFilter,(jac->hsolver,jac->filter));
    PetscStackCallStandard(HYPRE_ParaSailsSetLoadbal,(jac->hsolver,jac->loadbal));
    PetscStackCallStandard(HYPRE_ParaSailsSetLogging,(jac->hsolver,jac->logging));
    PetscStackCallStandard(HYPRE_ParaSailsSetReuse,(jac->hsolver,jac->ruse));
    PetscStackCallStandard(HYPRE_ParaSailsSetSym,(jac->hsolver,jac->symt));
    PetscFunctionReturn(0);
  }
  ierr = PetscStrcmp("boomeramg",jac->hypre_type,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr                     = HYPRE_BoomerAMGCreate(&jac->hsolver);
    pc->ops->setfromoptions  = PCSetFromOptions_HYPRE_BoomerAMG;
    pc->ops->view            = PCView_HYPRE_BoomerAMG;
    pc->ops->applytranspose  = PCApplyTranspose_HYPRE_BoomerAMG;
    pc->ops->applyrichardson = PCApplyRichardson_HYPRE_BoomerAMG;
    jac->destroy             = HYPRE_BoomerAMGDestroy;
    jac->setup               = HYPRE_BoomerAMGSetup;
    jac->solve               = HYPRE_BoomerAMGSolve;
    jac->applyrichardson     = PETSC_FALSE;
    /* these defaults match the hypre defaults */
    jac->cycletype        = 1;
    jac->maxlevels        = 25;
    jac->maxiter          = 1;
    jac->tol              = 0.0; /* tolerance of zero indicates use as preconditioner (suppresses convergence errors) */
    jac->truncfactor      = 0.0;
    jac->strongthreshold  = .25;
    jac->maxrowsum        = .9;
    jac->coarsentype      = 6;
    jac->measuretype      = 0;
    jac->gridsweeps[0]    = jac->gridsweeps[1] = jac->gridsweeps[2] = 1;
    jac->smoothtype       = -1; /* Not set by default */
    jac->smoothnumlevels  = 25;
    jac->eu_level         = 0;
    jac->eu_droptolerance = 0;
    jac->eu_bj            = 0;
    jac->relaxtype[0]     = jac->relaxtype[1] = 6; /* Defaults to SYMMETRIC since in PETSc we are using a a PC - most likely with CG */
    jac->relaxtype[2]     = 9; /*G.E. */
    jac->relaxweight      = 1.0;
    jac->outerrelaxweight = 1.0;
    jac->relaxorder       = 1;
    jac->interptype       = 0;
    jac->agg_nl           = 0;
    jac->pmax             = 0;
    jac->truncfactor      = 0.0;
    jac->agg_num_paths    = 1;

    jac->nodal_coarsening      = 0;
    jac->nodal_coarsening_diag = 0;
    jac->vec_interp_variant    = 0;
    jac->vec_interp_qmax       = 0;
    jac->vec_interp_smooth     = PETSC_FALSE;
    jac->interp_refine         = 0;
    jac->nodal_relax           = PETSC_FALSE;
    jac->nodal_relax_levels    = 1;
    PetscStackCallStandard(HYPRE_BoomerAMGSetCycleType,(jac->hsolver,jac->cycletype));
    PetscStackCallStandard(HYPRE_BoomerAMGSetMaxLevels,(jac->hsolver,jac->maxlevels));
    PetscStackCallStandard(HYPRE_BoomerAMGSetMaxIter,(jac->hsolver,jac->maxiter));
    PetscStackCallStandard(HYPRE_BoomerAMGSetTol,(jac->hsolver,jac->tol));
    PetscStackCallStandard(HYPRE_BoomerAMGSetTruncFactor,(jac->hsolver,jac->truncfactor));
    PetscStackCallStandard(HYPRE_BoomerAMGSetStrongThreshold,(jac->hsolver,jac->strongthreshold));
    PetscStackCallStandard(HYPRE_BoomerAMGSetMaxRowSum,(jac->hsolver,jac->maxrowsum));
    PetscStackCallStandard(HYPRE_BoomerAMGSetCoarsenType,(jac->hsolver,jac->coarsentype));
    PetscStackCallStandard(HYPRE_BoomerAMGSetMeasureType,(jac->hsolver,jac->measuretype));
    PetscStackCallStandard(HYPRE_BoomerAMGSetRelaxOrder,(jac->hsolver, jac->relaxorder));
    PetscStackCallStandard(HYPRE_BoomerAMGSetInterpType,(jac->hsolver,jac->interptype));
    PetscStackCallStandard(HYPRE_BoomerAMGSetAggNumLevels,(jac->hsolver,jac->agg_nl));
    PetscStackCallStandard(HYPRE_BoomerAMGSetPMaxElmts,(jac->hsolver,jac->pmax));
    PetscStackCallStandard(HYPRE_BoomerAMGSetNumPaths,(jac->hsolver,jac->agg_num_paths));
    PetscStackCallStandard(HYPRE_BoomerAMGSetRelaxType,(jac->hsolver, jac->relaxtype[0]));  /*defaults coarse to 9*/
    PetscStackCallStandard(HYPRE_BoomerAMGSetNumSweeps,(jac->hsolver, jac->gridsweeps[0])); /*defaults coarse to 1 */
    PetscFunctionReturn(0);
  }
  ierr = PetscStrcmp("ams",jac->hypre_type,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr                     = HYPRE_AMSCreate(&jac->hsolver);
    pc->ops->setfromoptions  = PCSetFromOptions_HYPRE_AMS;
    pc->ops->view            = PCView_HYPRE_AMS;
    jac->destroy             = HYPRE_AMSDestroy;
    jac->setup               = HYPRE_AMSSetup;
    jac->solve               = HYPRE_AMSSolve;
    jac->coords[0]           = NULL;
    jac->coords[1]           = NULL;
    jac->coords[2]           = NULL;
    /* solver parameters: these are borrowed from mfem package, and they are not the default values from HYPRE AMS */
    jac->as_print           = 0;
    jac->as_max_iter        = 1; /* used as a preconditioner */
    jac->as_tol             = 0.; /* used as a preconditioner */
    jac->ams_cycle_type     = 13;
    /* Smoothing options */
    jac->as_relax_type      = 2;
    jac->as_relax_times     = 1;
    jac->as_relax_weight    = 1.0;
    jac->as_omega           = 1.0;
    /* Vector valued Poisson AMG solver parameters: coarsen type, agg_levels, relax_type, interp_type, Pmax */
    jac->as_amg_alpha_opts[0] = 10;
    jac->as_amg_alpha_opts[1] = 1;
    jac->as_amg_alpha_opts[2] = 6;
    jac->as_amg_alpha_opts[3] = 6;
    jac->as_amg_alpha_opts[4] = 4;
    jac->as_amg_alpha_theta   = 0.25;
    /* Scalar Poisson AMG solver parameters: coarsen type, agg_levels, relax_type, interp_type, Pmax */
    jac->as_amg_beta_opts[0] = 10;
    jac->as_amg_beta_opts[1] = 1;
    jac->as_amg_beta_opts[2] = 6;
    jac->as_amg_beta_opts[3] = 6;
    jac->as_amg_beta_opts[4] = 4;
    jac->as_amg_beta_theta   = 0.25;
    PetscStackCallStandard(HYPRE_AMSSetPrintLevel,(jac->hsolver,jac->as_print));
    PetscStackCallStandard(HYPRE_AMSSetMaxIter,(jac->hsolver,jac->as_max_iter));
    PetscStackCallStandard(HYPRE_AMSSetCycleType,(jac->hsolver,jac->ams_cycle_type));
    PetscStackCallStandard(HYPRE_AMSSetTol,(jac->hsolver,jac->as_tol));
    PetscStackCallStandard(HYPRE_AMSSetSmoothingOptions,(jac->hsolver,jac->as_relax_type,
                                                                      jac->as_relax_times,
                                                                      jac->as_relax_weight,
                                                                      jac->as_omega));
    PetscStackCallStandard(HYPRE_AMSSetAlphaAMGOptions,(jac->hsolver,jac->as_amg_alpha_opts[0],       /* AMG coarsen type */
                                                                     jac->as_amg_alpha_opts[1],       /* AMG agg_levels */
                                                                     jac->as_amg_alpha_opts[2],       /* AMG relax_type */
                                                                     jac->as_amg_alpha_theta,
                                                                     jac->as_amg_alpha_opts[3],       /* AMG interp_type */
                                                                     jac->as_amg_alpha_opts[4]));     /* AMG Pmax */
    PetscStackCallStandard(HYPRE_AMSSetBetaAMGOptions,(jac->hsolver,jac->as_amg_beta_opts[0],       /* AMG coarsen type */
                                                                    jac->as_amg_beta_opts[1],       /* AMG agg_levels */
                                                                    jac->as_amg_beta_opts[2],       /* AMG relax_type */
                                                                    jac->as_amg_beta_theta,
                                                                    jac->as_amg_beta_opts[3],       /* AMG interp_type */
                                                                    jac->as_amg_beta_opts[4]));     /* AMG Pmax */
    /* Zero conductivity */
    jac->ams_beta_is_zero      = PETSC_FALSE;
    jac->ams_beta_is_zero_part = PETSC_FALSE;
    PetscFunctionReturn(0);
  }
  ierr = PetscStrcmp("ads",jac->hypre_type,&flag);CHKERRQ(ierr);
  if (flag) {
    ierr                     = HYPRE_ADSCreate(&jac->hsolver);
    pc->ops->setfromoptions  = PCSetFromOptions_HYPRE_ADS;
    pc->ops->view            = PCView_HYPRE_ADS;
    jac->destroy             = HYPRE_ADSDestroy;
    jac->setup               = HYPRE_ADSSetup;
    jac->solve               = HYPRE_ADSSolve;
    jac->coords[0]           = NULL;
    jac->coords[1]           = NULL;
    jac->coords[2]           = NULL;
    /* solver parameters: these are borrowed from mfem package, and they are not the default values from HYPRE ADS */
    jac->as_print           = 0;
    jac->as_max_iter        = 1; /* used as a preconditioner */
    jac->as_tol             = 0.; /* used as a preconditioner */
    jac->ads_cycle_type     = 13;
    /* Smoothing options */
    jac->as_relax_type      = 2;
    jac->as_relax_times     = 1;
    jac->as_relax_weight    = 1.0;
    jac->as_omega           = 1.0;
    /* AMS solver parameters: cycle_type, coarsen type, agg_levels, relax_type, interp_type, Pmax */
    jac->ams_cycle_type       = 14;
    jac->as_amg_alpha_opts[0] = 10;
    jac->as_amg_alpha_opts[1] = 1;
    jac->as_amg_alpha_opts[2] = 6;
    jac->as_amg_alpha_opts[3] = 6;
    jac->as_amg_alpha_opts[4] = 4;
    jac->as_amg_alpha_theta   = 0.25;
    /* Vector Poisson AMG solver parameters: coarsen type, agg_levels, relax_type, interp_type, Pmax */
    jac->as_amg_beta_opts[0] = 10;
    jac->as_amg_beta_opts[1] = 1;
    jac->as_amg_beta_opts[2] = 6;
    jac->as_amg_beta_opts[3] = 6;
    jac->as_amg_beta_opts[4] = 4;
    jac->as_amg_beta_theta   = 0.25;
    PetscStackCallStandard(HYPRE_ADSSetPrintLevel,(jac->hsolver,jac->as_print));
    PetscStackCallStandard(HYPRE_ADSSetMaxIter,(jac->hsolver,jac->as_max_iter));
    PetscStackCallStandard(HYPRE_ADSSetCycleType,(jac->hsolver,jac->ams_cycle_type));
    PetscStackCallStandard(HYPRE_ADSSetTol,(jac->hsolver,jac->as_tol));
    PetscStackCallStandard(HYPRE_ADSSetSmoothingOptions,(jac->hsolver,jac->as_relax_type,
                                                                      jac->as_relax_times,
                                                                      jac->as_relax_weight,
                                                                      jac->as_omega));
    PetscStackCallStandard(HYPRE_ADSSetAMSOptions,(jac->hsolver,jac->ams_cycle_type,             /* AMG coarsen type */
                                                                jac->as_amg_alpha_opts[0],       /* AMG coarsen type */
                                                                jac->as_amg_alpha_opts[1],       /* AMG agg_levels */
                                                                jac->as_amg_alpha_opts[2],       /* AMG relax_type */
                                                                jac->as_amg_alpha_theta,
                                                                jac->as_amg_alpha_opts[3],       /* AMG interp_type */
                                                                jac->as_amg_alpha_opts[4]));     /* AMG Pmax */
    PetscStackCallStandard(HYPRE_ADSSetAMGOptions,(jac->hsolver,jac->as_amg_beta_opts[0],       /* AMG coarsen type */
                                                                jac->as_amg_beta_opts[1],       /* AMG agg_levels */
                                                                jac->as_amg_beta_opts[2],       /* AMG relax_type */
                                                                jac->as_amg_beta_theta,
                                                                jac->as_amg_beta_opts[3],       /* AMG interp_type */
                                                                jac->as_amg_beta_opts[4]));     /* AMG Pmax */
    PetscFunctionReturn(0);
  }
  ierr = PetscFree(jac->hypre_type);CHKERRQ(ierr);

  jac->hypre_type = NULL;
  SETERRQ1(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_UNKNOWN_TYPE,"Unknown HYPRE preconditioner %s; Choices are euclid, pilut, parasails, boomeramg, ams",name);
  PetscFunctionReturn(0);
}

/*
    It only gets here if the HYPRE type has not been set before the call to
   ...SetFromOptions() which actually is most of the time
*/
PetscErrorCode PCSetFromOptions_HYPRE(PetscOptionItems *PetscOptionsObject,PC pc)
{
  PetscErrorCode ierr;
  PetscInt       indx;
  const char     *type[] = {"euclid","pilut","parasails","boomeramg","ams","ads"};
  PetscBool      flg;

  PetscFunctionBegin;
  ierr = PetscOptionsHead(PetscOptionsObject,"HYPRE preconditioner options");CHKERRQ(ierr);
  ierr = PetscOptionsEList("-pc_hypre_type","HYPRE preconditioner type","PCHYPRESetType",type,4,"boomeramg",&indx,&flg);CHKERRQ(ierr);
  if (flg) {
    ierr = PCHYPRESetType_HYPRE(pc,type[indx]);CHKERRQ(ierr);
  } else {
    ierr = PCHYPRESetType_HYPRE(pc,"boomeramg");CHKERRQ(ierr);
  }
  if (pc->ops->setfromoptions) {
    ierr = pc->ops->setfromoptions(PetscOptionsObject,pc);CHKERRQ(ierr);
  }
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

/*@C
     PCHYPRESetType - Sets which hypre preconditioner you wish to use

   Input Parameters:
+     pc - the preconditioner context
-     name - either  euclid, pilut, parasails, boomeramg, ams, ads

   Options Database Keys:
   -pc_hypre_type - One of euclid, pilut, parasails, boomeramg, ams, ads

   Level: intermediate

.seealso:  PCCreate(), PCSetType(), PCType (for list of available types), PC,
           PCHYPRE

@*/
PetscErrorCode  PCHYPRESetType(PC pc,const char name[])
{
  PetscErrorCode ierr;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_CLASSID,1);
  PetscValidCharPointer(name,2);
  ierr = PetscTryMethod(pc,"PCHYPRESetType_C",(PC,const char[]),(pc,name));CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

/*@C
     PCHYPREGetType - Gets which hypre preconditioner you are using

   Input Parameter:
.     pc - the preconditioner context

   Output Parameter:
.     name - either  euclid, pilut, parasails, boomeramg, ams, ads

   Level: intermediate

.seealso:  PCCreate(), PCHYPRESetType(), PCType (for list of available types), PC,
           PCHYPRE

@*/
PetscErrorCode  PCHYPREGetType(PC pc,const char *name[])
{
  PetscErrorCode ierr;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_CLASSID,1);
  PetscValidPointer(name,2);
  ierr = PetscTryMethod(pc,"PCHYPREGetType_C",(PC,const char*[]),(pc,name));CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

/*MC
     PCHYPRE - Allows you to use the matrix element based preconditioners in the LLNL package hypre

   Options Database Keys:
+   -pc_hypre_type - One of euclid, pilut, parasails, boomeramg, ams, ads
-   Too many others to list, run with -pc_type hypre -pc_hypre_type XXX -help to see options for the XXX
          preconditioner

   Level: intermediate

   Notes:
    Apart from pc_hypre_type (for which there is PCHYPRESetType()),
          the many hypre options can ONLY be set via the options database (e.g. the command line
          or with PetscOptionsSetValue(), there are no functions to set them)

          The options -pc_hypre_boomeramg_max_iter and -pc_hypre_boomeramg_tol refer to the number of iterations
          (V-cycles) and tolerance that boomeramg does EACH time it is called. So for example, if
          -pc_hypre_boomeramg_max_iter is set to 2 then 2-V-cycles are being used to define the preconditioner
          (-pc_hypre_boomeramg_tol should be set to 0.0 - the default - to strictly use a fixed number of
          iterations per hypre call). -ksp_max_it and -ksp_rtol STILL determine the total number of iterations
          and tolerance for the Krylov solver. For example, if -pc_hypre_boomeramg_max_iter is 2 and -ksp_max_it is 10
          then AT MOST twenty V-cycles of boomeramg will be called.

           Note that the option -pc_hypre_boomeramg_relax_type_all defaults to symmetric relaxation
           (symmetric-SOR/Jacobi), which is required for Krylov solvers like CG that expect symmetry.
           Otherwise, you may want to use -pc_hypre_boomeramg_relax_type_all SOR/Jacobi.
          If you wish to use BoomerAMG WITHOUT a Krylov method use -ksp_type richardson NOT -ksp_type preonly
          and use -ksp_max_it to control the number of V-cycles.
          (see the PETSc FAQ.html at the PETSc website under the Documentation tab).

          2007-02-03 Using HYPRE-1.11.1b, the routine HYPRE_BoomerAMGSolveT and the option
          -pc_hypre_parasails_reuse were failing with SIGSEGV. Dalcin L.

          MatSetNearNullSpace() - if you provide a near null space to your matrix it is ignored by hypre UNLESS you also use
          the two options:
+   -pc_hypre_boomeramg_nodal_coarsen <n> - where n is from 1 to 6 (see HYPRE_BOOMERAMGSetNodal())
-   -pc_hypre_boomeramg_vec_interp_variant <v> where v is from 1 to 3 (see HYPRE_BoomerAMGSetInterpVecVariant())

          Depending on the linear system you may see the same or different convergence depending on the values you use.

          See PCPFMG for access to the hypre Struct PFMG solver

.seealso:  PCCreate(), PCSetType(), PCType (for list of available types), PC,
           PCHYPRESetType(), PCPFMG

M*/

PETSC_EXTERN PetscErrorCode PCCreate_HYPRE(PC pc)
{
  PC_HYPRE       *jac;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  ierr = PetscNewLog(pc,&jac);CHKERRQ(ierr);

  pc->data                = jac;
  pc->ops->reset          = PCReset_HYPRE;
  pc->ops->destroy        = PCDestroy_HYPRE;
  pc->ops->setfromoptions = PCSetFromOptions_HYPRE;
  pc->ops->setup          = PCSetUp_HYPRE;
  pc->ops->apply          = PCApply_HYPRE;
  jac->comm_hypre         = MPI_COMM_NULL;
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetType_C",PCHYPRESetType_HYPRE);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPREGetType_C",PCHYPREGetType_HYPRE);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCSetCoordinates_C",PCSetCoordinates_HYPRE);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetDiscreteGradient_C",PCHYPRESetDiscreteGradient_HYPRE);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetDiscreteCurl_C",PCHYPRESetDiscreteCurl_HYPRE);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetInterpolations_C",PCHYPRESetInterpolations_HYPRE);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetEdgeConstantVectors_C",PCHYPRESetEdgeConstantVectors_HYPRE);CHKERRQ(ierr);
  ierr = PetscObjectComposeFunction((PetscObject)pc,"PCHYPRESetPoissonMatrix_C",PCHYPRESetPoissonMatrix_HYPRE);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

/* ---------------------------------------------------------------------------------------------------------------------------------*/

typedef struct {
  MPI_Comm           hcomm;        /* does not share comm with HYPRE_StructMatrix because need to create solver before getting matrix */
  HYPRE_StructSolver hsolver;

  /* keep copy of PFMG options used so may view them */
  PetscInt its;
  double   tol;
  PetscInt relax_type;
  PetscInt rap_type;
  PetscInt num_pre_relax,num_post_relax;
  PetscInt max_levels;
} PC_PFMG;

PetscErrorCode PCDestroy_PFMG(PC pc)
{
  PetscErrorCode ierr;
  PC_PFMG        *ex = (PC_PFMG*) pc->data;

  PetscFunctionBegin;
  if (ex->hsolver) PetscStackCallStandard(HYPRE_StructPFMGDestroy,(ex->hsolver));
  ierr = MPI_Comm_free(&ex->hcomm);CHKERRQ(ierr);
  ierr = PetscFree(pc->data);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static const char *PFMGRelaxType[] = {"Jacobi","Weighted-Jacobi","symmetric-Red/Black-Gauss-Seidel","Red/Black-Gauss-Seidel"};
static const char *PFMGRAPType[] = {"Galerkin","non-Galerkin"};

PetscErrorCode PCView_PFMG(PC pc,PetscViewer viewer)
{
  PetscErrorCode ierr;
  PetscBool      iascii;
  PC_PFMG        *ex = (PC_PFMG*) pc->data;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE PFMG preconditioning\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    max iterations %d\n",ex->its);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    tolerance %g\n",ex->tol);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    relax type %s\n",PFMGRelaxType[ex->relax_type]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    RAP type %s\n",PFMGRAPType[ex->rap_type]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    number pre-relax %d post-relax %d\n",ex->num_pre_relax,ex->num_post_relax);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"    max levels %d\n",ex->max_levels);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

PetscErrorCode PCSetFromOptions_PFMG(PetscOptionItems *PetscOptionsObject,PC pc)
{
  PetscErrorCode ierr;
  PC_PFMG        *ex = (PC_PFMG*) pc->data;
  PetscBool      flg = PETSC_FALSE;

  PetscFunctionBegin;
  ierr = PetscOptionsHead(PetscOptionsObject,"PFMG options");CHKERRQ(ierr);
  ierr = PetscOptionsBool("-pc_pfmg_print_statistics","Print statistics","HYPRE_StructPFMGSetPrintLevel",flg,&flg,NULL);CHKERRQ(ierr);
  if (flg) {
    int level=3;
    PetscStackCallStandard(HYPRE_StructPFMGSetPrintLevel,(ex->hsolver,level));
  }
  ierr = PetscOptionsInt("-pc_pfmg_its","Number of iterations of PFMG to use as preconditioner","HYPRE_StructPFMGSetMaxIter",ex->its,&ex->its,NULL);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructPFMGSetMaxIter,(ex->hsolver,ex->its));
  ierr = PetscOptionsInt("-pc_pfmg_num_pre_relax","Number of smoothing steps before coarse grid","HYPRE_StructPFMGSetNumPreRelax",ex->num_pre_relax,&ex->num_pre_relax,NULL);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructPFMGSetNumPreRelax,(ex->hsolver,ex->num_pre_relax));
  ierr = PetscOptionsInt("-pc_pfmg_num_post_relax","Number of smoothing steps after coarse grid","HYPRE_StructPFMGSetNumPostRelax",ex->num_post_relax,&ex->num_post_relax,NULL);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructPFMGSetNumPostRelax,(ex->hsolver,ex->num_post_relax));

  ierr = PetscOptionsInt("-pc_pfmg_max_levels","Max Levels for MG hierarchy","HYPRE_StructPFMGSetMaxLevels",ex->max_levels,&ex->max_levels,NULL);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructPFMGSetMaxLevels,(ex->hsolver,ex->max_levels));

  ierr = PetscOptionsReal("-pc_pfmg_tol","Tolerance of PFMG","HYPRE_StructPFMGSetTol",ex->tol,&ex->tol,NULL);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructPFMGSetTol,(ex->hsolver,ex->tol));
  ierr = PetscOptionsEList("-pc_pfmg_relax_type","Relax type for the up and down cycles","HYPRE_StructPFMGSetRelaxType",PFMGRelaxType,ALEN(PFMGRelaxType),PFMGRelaxType[ex->relax_type],&ex->relax_type,NULL);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructPFMGSetRelaxType,(ex->hsolver, ex->relax_type));
  ierr = PetscOptionsEList("-pc_pfmg_rap_type","RAP type","HYPRE_StructPFMGSetRAPType",PFMGRAPType,ALEN(PFMGRAPType),PFMGRAPType[ex->rap_type],&ex->rap_type,NULL);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructPFMGSetRAPType,(ex->hsolver, ex->rap_type));
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

PetscErrorCode PCApply_PFMG(PC pc,Vec x,Vec y)
{
  PetscErrorCode    ierr;
  PC_PFMG           *ex = (PC_PFMG*) pc->data;
  PetscScalar       *yy;
  const PetscScalar *xx;
  PetscInt          ilower[3],iupper[3];
  Mat_HYPREStruct   *mx = (Mat_HYPREStruct*)(pc->pmat->data);

  PetscFunctionBegin;
  ierr       = PetscCitationsRegister(hypreCitation,&cite);CHKERRQ(ierr);
  ierr       = DMDAGetCorners(mx->da,&ilower[0],&ilower[1],&ilower[2],&iupper[0],&iupper[1],&iupper[2]);CHKERRQ(ierr);
  iupper[0] += ilower[0] - 1;
  iupper[1] += ilower[1] - 1;
  iupper[2] += ilower[2] - 1;

  /* copy x values over to hypre */
  PetscStackCallStandard(HYPRE_StructVectorSetConstantValues,(mx->hb,0.0));
  ierr = VecGetArrayRead(x,&xx);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructVectorSetBoxValues,(mx->hb,(HYPRE_Int *)ilower,(HYPRE_Int *)iupper,(PetscScalar*)xx));
  ierr = VecRestoreArrayRead(x,&xx);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructVectorAssemble,(mx->hb));
  PetscStackCallStandard(HYPRE_StructPFMGSolve,(ex->hsolver,mx->hmat,mx->hb,mx->hx));

  /* copy solution values back to PETSc */
  ierr = VecGetArray(y,&yy);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructVectorGetBoxValues,(mx->hx,(HYPRE_Int *)ilower,(HYPRE_Int *)iupper,yy));
  ierr = VecRestoreArray(y,&yy);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static PetscErrorCode PCApplyRichardson_PFMG(PC pc,Vec b,Vec y,Vec w,PetscReal rtol,PetscReal abstol, PetscReal dtol,PetscInt its,PetscBool guesszero,PetscInt *outits,PCRichardsonConvergedReason *reason)
{
  PC_PFMG        *jac = (PC_PFMG*)pc->data;
  PetscErrorCode ierr;
  PetscInt       oits;

  PetscFunctionBegin;
  ierr = PetscCitationsRegister(hypreCitation,&cite);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructPFMGSetMaxIter,(jac->hsolver,its*jac->its));
  PetscStackCallStandard(HYPRE_StructPFMGSetTol,(jac->hsolver,rtol));

  ierr = PCApply_PFMG(pc,b,y);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructPFMGGetNumIterations,(jac->hsolver,(HYPRE_Int *)&oits));
  *outits = oits;
  if (oits == its) *reason = PCRICHARDSON_CONVERGED_ITS;
  else             *reason = PCRICHARDSON_CONVERGED_RTOL;
  PetscStackCallStandard(HYPRE_StructPFMGSetTol,(jac->hsolver,jac->tol));
  PetscStackCallStandard(HYPRE_StructPFMGSetMaxIter,(jac->hsolver,jac->its));
  PetscFunctionReturn(0);
}


PetscErrorCode PCSetUp_PFMG(PC pc)
{
  PetscErrorCode  ierr;
  PC_PFMG         *ex = (PC_PFMG*) pc->data;
  Mat_HYPREStruct *mx = (Mat_HYPREStruct*)(pc->pmat->data);
  PetscBool       flg;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)pc->pmat,MATHYPRESTRUCT,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_INCOMP,"Must use MATHYPRESTRUCT with this preconditioner");

  /* create the hypre solver object and set its information */
  if (ex->hsolver) PetscStackCallStandard(HYPRE_StructPFMGDestroy,(ex->hsolver));
  PetscStackCallStandard(HYPRE_StructPFMGCreate,(ex->hcomm,&ex->hsolver));
  PetscStackCallStandard(HYPRE_StructPFMGSetup,(ex->hsolver,mx->hmat,mx->hb,mx->hx));
  PetscStackCallStandard(HYPRE_StructPFMGSetZeroGuess,(ex->hsolver));
  PetscFunctionReturn(0);
}

/*MC
     PCPFMG - the hypre PFMG multigrid solver

   Level: advanced

   Options Database:
+ -pc_pfmg_its <its> number of iterations of PFMG to use as preconditioner
. -pc_pfmg_num_pre_relax <steps> number of smoothing steps before coarse grid
. -pc_pfmg_num_post_relax <steps> number of smoothing steps after coarse grid
. -pc_pfmg_tol <tol> tolerance of PFMG
. -pc_pfmg_relax_type -relaxation type for the up and down cycles, one of Jacobi,Weighted-Jacobi,symmetric-Red/Black-Gauss-Seidel,Red/Black-Gauss-Seidel
- -pc_pfmg_rap_type - type of coarse matrix generation, one of Galerkin,non-Galerkin

   Notes:
    This is for CELL-centered descretizations

           This must be used with the MATHYPRESTRUCT matrix type.
           This is less general than in hypre, it supports only one block per process defined by a PETSc DMDA.

.seealso:  PCMG, MATHYPRESTRUCT
M*/

PETSC_EXTERN PetscErrorCode PCCreate_PFMG(PC pc)
{
  PetscErrorCode ierr;
  PC_PFMG        *ex;

  PetscFunctionBegin;
  ierr     = PetscNew(&ex);CHKERRQ(ierr); \
  pc->data = ex;

  ex->its            = 1;
  ex->tol            = 1.e-8;
  ex->relax_type     = 1;
  ex->rap_type       = 0;
  ex->num_pre_relax  = 1;
  ex->num_post_relax = 1;
  ex->max_levels     = 0;

  pc->ops->setfromoptions  = PCSetFromOptions_PFMG;
  pc->ops->view            = PCView_PFMG;
  pc->ops->destroy         = PCDestroy_PFMG;
  pc->ops->apply           = PCApply_PFMG;
  pc->ops->applyrichardson = PCApplyRichardson_PFMG;
  pc->ops->setup           = PCSetUp_PFMG;

  ierr = MPI_Comm_dup(PetscObjectComm((PetscObject)pc),&(ex->hcomm));CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_StructPFMGCreate,(ex->hcomm,&ex->hsolver));
  PetscFunctionReturn(0);
}

/* ---------------------------------------------------------------------------------------------------------------------------------------------------*/

/* we know we are working with a HYPRE_SStructMatrix */
typedef struct {
  MPI_Comm            hcomm;       /* does not share comm with HYPRE_SStructMatrix because need to create solver before getting matrix */
  HYPRE_SStructSolver ss_solver;

  /* keep copy of SYSPFMG options used so may view them */
  PetscInt its;
  double   tol;
  PetscInt relax_type;
  PetscInt num_pre_relax,num_post_relax;
} PC_SysPFMG;

PetscErrorCode PCDestroy_SysPFMG(PC pc)
{
  PetscErrorCode ierr;
  PC_SysPFMG     *ex = (PC_SysPFMG*) pc->data;

  PetscFunctionBegin;
  if (ex->ss_solver) PetscStackCallStandard(HYPRE_SStructSysPFMGDestroy,(ex->ss_solver));
  ierr = MPI_Comm_free(&ex->hcomm);CHKERRQ(ierr);
  ierr = PetscFree(pc->data);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

static const char *SysPFMGRelaxType[] = {"Weighted-Jacobi","Red/Black-Gauss-Seidel"};

PetscErrorCode PCView_SysPFMG(PC pc,PetscViewer viewer)
{
  PetscErrorCode ierr;
  PetscBool      iascii;
  PC_SysPFMG     *ex = (PC_SysPFMG*) pc->data;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
  if (iascii) {
    ierr = PetscViewerASCIIPrintf(viewer,"  HYPRE SysPFMG preconditioning\n");CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  max iterations %d\n",ex->its);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  tolerance %g\n",ex->tol);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  relax type %s\n",PFMGRelaxType[ex->relax_type]);CHKERRQ(ierr);
    ierr = PetscViewerASCIIPrintf(viewer,"  number pre-relax %d post-relax %d\n",ex->num_pre_relax,ex->num_post_relax);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

PetscErrorCode PCSetFromOptions_SysPFMG(PetscOptionItems *PetscOptionsObject,PC pc)
{
  PetscErrorCode ierr;
  PC_SysPFMG     *ex = (PC_SysPFMG*) pc->data;
  PetscBool      flg = PETSC_FALSE;

  PetscFunctionBegin;
  ierr = PetscOptionsHead(PetscOptionsObject,"SysPFMG options");CHKERRQ(ierr);
  ierr = PetscOptionsBool("-pc_syspfmg_print_statistics","Print statistics","HYPRE_SStructSysPFMGSetPrintLevel",flg,&flg,NULL);CHKERRQ(ierr);
  if (flg) {
    int level=3;
    PetscStackCallStandard(HYPRE_SStructSysPFMGSetPrintLevel,(ex->ss_solver,level));
  }
  ierr = PetscOptionsInt("-pc_syspfmg_its","Number of iterations of SysPFMG to use as preconditioner","HYPRE_SStructSysPFMGSetMaxIter",ex->its,&ex->its,NULL);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_SStructSysPFMGSetMaxIter,(ex->ss_solver,ex->its));
  ierr = PetscOptionsInt("-pc_syspfmg_num_pre_relax","Number of smoothing steps before coarse grid","HYPRE_SStructSysPFMGSetNumPreRelax",ex->num_pre_relax,&ex->num_pre_relax,NULL);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_SStructSysPFMGSetNumPreRelax,(ex->ss_solver,ex->num_pre_relax));
  ierr = PetscOptionsInt("-pc_syspfmg_num_post_relax","Number of smoothing steps after coarse grid","HYPRE_SStructSysPFMGSetNumPostRelax",ex->num_post_relax,&ex->num_post_relax,NULL);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_SStructSysPFMGSetNumPostRelax,(ex->ss_solver,ex->num_post_relax));

  ierr = PetscOptionsReal("-pc_syspfmg_tol","Tolerance of SysPFMG","HYPRE_SStructSysPFMGSetTol",ex->tol,&ex->tol,NULL);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_SStructSysPFMGSetTol,(ex->ss_solver,ex->tol));
  ierr = PetscOptionsEList("-pc_syspfmg_relax_type","Relax type for the up and down cycles","HYPRE_SStructSysPFMGSetRelaxType",SysPFMGRelaxType,ALEN(SysPFMGRelaxType),SysPFMGRelaxType[ex->relax_type],&ex->relax_type,NULL);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_SStructSysPFMGSetRelaxType,(ex->ss_solver, ex->relax_type));
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

PetscErrorCode PCApply_SysPFMG(PC pc,Vec x,Vec y)
{
  PetscErrorCode    ierr;
  PC_SysPFMG        *ex = (PC_SysPFMG*) pc->data;
  PetscScalar       *yy;
  const PetscScalar *xx;
  PetscInt          ilower[3],iupper[3];
  Mat_HYPRESStruct  *mx     = (Mat_HYPRESStruct*)(pc->pmat->data);
  PetscInt          ordering= mx->dofs_order;
  PetscInt          nvars   = mx->nvars;
  PetscInt          part    = 0;
  PetscInt          size;
  PetscInt          i;

  PetscFunctionBegin;
  ierr       = PetscCitationsRegister(hypreCitation,&cite);CHKERRQ(ierr);
  ierr       = DMDAGetCorners(mx->da,&ilower[0],&ilower[1],&ilower[2],&iupper[0],&iupper[1],&iupper[2]);CHKERRQ(ierr);
  iupper[0] += ilower[0] - 1;
  iupper[1] += ilower[1] - 1;
  iupper[2] += ilower[2] - 1;

  size = 1;
  for (i= 0; i< 3; i++) size *= (iupper[i]-ilower[i]+1);

  /* copy x values over to hypre for variable ordering */
  if (ordering) {
    PetscStackCallStandard(HYPRE_SStructVectorSetConstantValues,(mx->ss_b,0.0));
    ierr = VecGetArrayRead(x,&xx);CHKERRQ(ierr);
    for (i= 0; i< nvars; i++) PetscStackCallStandard(HYPRE_SStructVectorSetBoxValues,(mx->ss_b,part,(HYPRE_Int *)ilower,(HYPRE_Int *)iupper,i,(PetscScalar*)xx+(size*i)));
    ierr = VecRestoreArrayRead(x,&xx);CHKERRQ(ierr);
    PetscStackCallStandard(HYPRE_SStructVectorAssemble,(mx->ss_b));
    PetscStackCallStandard(HYPRE_SStructMatrixMatvec,(1.0,mx->ss_mat,mx->ss_b,0.0,mx->ss_x));
    PetscStackCallStandard(HYPRE_SStructSysPFMGSolve,(ex->ss_solver,mx->ss_mat,mx->ss_b,mx->ss_x));

    /* copy solution values back to PETSc */
    ierr = VecGetArray(y,&yy);CHKERRQ(ierr);
    for (i= 0; i< nvars; i++) PetscStackCallStandard(HYPRE_SStructVectorGetBoxValues,(mx->ss_x,part,(HYPRE_Int *)ilower,(HYPRE_Int *)iupper,i,yy+(size*i)));
    ierr = VecRestoreArray(y,&yy);CHKERRQ(ierr);
  } else {      /* nodal ordering must be mapped to variable ordering for sys_pfmg */
    PetscScalar *z;
    PetscInt    j, k;

    ierr = PetscMalloc1(nvars*size,&z);CHKERRQ(ierr);
    PetscStackCallStandard(HYPRE_SStructVectorSetConstantValues,(mx->ss_b,0.0));
    ierr = VecGetArrayRead(x,&xx);CHKERRQ(ierr);

    /* transform nodal to hypre's variable ordering for sys_pfmg */
    for (i= 0; i< size; i++) {
      k= i*nvars;
      for (j= 0; j< nvars; j++) z[j*size+i]= xx[k+j];
    }
    for (i= 0; i< nvars; i++) PetscStackCallStandard(HYPRE_SStructVectorSetBoxValues,(mx->ss_b,part,(HYPRE_Int *)ilower,(HYPRE_Int *)iupper,i,z+(size*i)));
    ierr = VecRestoreArrayRead(x,&xx);CHKERRQ(ierr);
    PetscStackCallStandard(HYPRE_SStructVectorAssemble,(mx->ss_b));
    PetscStackCallStandard(HYPRE_SStructSysPFMGSolve,(ex->ss_solver,mx->ss_mat,mx->ss_b,mx->ss_x));

    /* copy solution values back to PETSc */
    ierr = VecGetArray(y,&yy);CHKERRQ(ierr);
    for (i= 0; i< nvars; i++) PetscStackCallStandard(HYPRE_SStructVectorGetBoxValues,(mx->ss_x,part,(HYPRE_Int *)ilower,(HYPRE_Int *)iupper,i,z+(size*i)));
    /* transform hypre's variable ordering for sys_pfmg to nodal ordering */
    for (i= 0; i< size; i++) {
      k= i*nvars;
      for (j= 0; j< nvars; j++) yy[k+j]= z[j*size+i];
    }
    ierr = VecRestoreArray(y,&yy);CHKERRQ(ierr);
    ierr = PetscFree(z);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

static PetscErrorCode PCApplyRichardson_SysPFMG(PC pc,Vec b,Vec y,Vec w,PetscReal rtol,PetscReal abstol, PetscReal dtol,PetscInt its,PetscBool guesszero,PetscInt *outits,PCRichardsonConvergedReason *reason)
{
  PC_SysPFMG     *jac = (PC_SysPFMG*)pc->data;
  PetscErrorCode ierr;
  PetscInt       oits;

  PetscFunctionBegin;
  ierr = PetscCitationsRegister(hypreCitation,&cite);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_SStructSysPFMGSetMaxIter,(jac->ss_solver,its*jac->its));
  PetscStackCallStandard(HYPRE_SStructSysPFMGSetTol,(jac->ss_solver,rtol));
  ierr = PCApply_SysPFMG(pc,b,y);CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_SStructSysPFMGGetNumIterations,(jac->ss_solver,(HYPRE_Int *)&oits));
  *outits = oits;
  if (oits == its) *reason = PCRICHARDSON_CONVERGED_ITS;
  else             *reason = PCRICHARDSON_CONVERGED_RTOL;
  PetscStackCallStandard(HYPRE_SStructSysPFMGSetTol,(jac->ss_solver,jac->tol));
  PetscStackCallStandard(HYPRE_SStructSysPFMGSetMaxIter,(jac->ss_solver,jac->its));
  PetscFunctionReturn(0);
}

PetscErrorCode PCSetUp_SysPFMG(PC pc)
{
  PetscErrorCode   ierr;
  PC_SysPFMG       *ex = (PC_SysPFMG*) pc->data;
  Mat_HYPRESStruct *mx = (Mat_HYPRESStruct*)(pc->pmat->data);
  PetscBool        flg;

  PetscFunctionBegin;
  ierr = PetscObjectTypeCompare((PetscObject)pc->pmat,MATHYPRESSTRUCT,&flg);CHKERRQ(ierr);
  if (!flg) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_INCOMP,"Must use MATHYPRESSTRUCT with this preconditioner");

  /* create the hypre sstruct solver object and set its information */
  if (ex->ss_solver) PetscStackCallStandard(HYPRE_SStructSysPFMGDestroy,(ex->ss_solver));
  PetscStackCallStandard(HYPRE_SStructSysPFMGCreate,(ex->hcomm,&ex->ss_solver));
  PetscStackCallStandard(HYPRE_SStructSysPFMGSetZeroGuess,(ex->ss_solver));
  PetscStackCallStandard(HYPRE_SStructSysPFMGSetup,(ex->ss_solver,mx->ss_mat,mx->ss_b,mx->ss_x));
  PetscFunctionReturn(0);
}

/*MC
     PCSysPFMG - the hypre SysPFMG multigrid solver

   Level: advanced

   Options Database:
+ -pc_syspfmg_its <its> number of iterations of SysPFMG to use as preconditioner
. -pc_syspfmg_num_pre_relax <steps> number of smoothing steps before coarse grid
. -pc_syspfmg_num_post_relax <steps> number of smoothing steps after coarse grid
. -pc_syspfmg_tol <tol> tolerance of SysPFMG
. -pc_syspfmg_relax_type -relaxation type for the up and down cycles, one of Weighted-Jacobi,Red/Black-Gauss-Seidel

   Notes:
    This is for CELL-centered descretizations

           This must be used with the MATHYPRESSTRUCT matrix type.
           This is less general than in hypre, it supports only one part, and one block per process defined by a PETSc DMDA.
           Also, only cell-centered variables.

.seealso:  PCMG, MATHYPRESSTRUCT
M*/

PETSC_EXTERN PetscErrorCode PCCreate_SysPFMG(PC pc)
{
  PetscErrorCode ierr;
  PC_SysPFMG     *ex;

  PetscFunctionBegin;
  ierr     = PetscNew(&ex);CHKERRQ(ierr); \
  pc->data = ex;

  ex->its            = 1;
  ex->tol            = 1.e-8;
  ex->relax_type     = 1;
  ex->num_pre_relax  = 1;
  ex->num_post_relax = 1;

  pc->ops->setfromoptions  = PCSetFromOptions_SysPFMG;
  pc->ops->view            = PCView_SysPFMG;
  pc->ops->destroy         = PCDestroy_SysPFMG;
  pc->ops->apply           = PCApply_SysPFMG;
  pc->ops->applyrichardson = PCApplyRichardson_SysPFMG;
  pc->ops->setup           = PCSetUp_SysPFMG;

  ierr = MPI_Comm_dup(PetscObjectComm((PetscObject)pc),&(ex->hcomm));CHKERRQ(ierr);
  PetscStackCallStandard(HYPRE_SStructSysPFMGCreate,(ex->hcomm,&ex->ss_solver));
  PetscFunctionReturn(0);
}