MueLu_ML2MueLuParameterTranslator.cpp

Go to the documentation of this file.

// @HEADER
// *****************************************************************************
//        MueLu: A package for multigrid based preconditioning
//
// Copyright 2012 NTESS and the MueLu contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
 
#include "MueLu_ConfigDefs.hpp"
#include "Teuchos_ParameterList.hpp"
#include "Teuchos_TestForException.hpp"
 
#include <MueLu_ML2MueLuParameterTranslator.hpp>
using Teuchos::ParameterList;
 
namespace MueLu {
 
std::string ML2MueLuParameterTranslator::GetSmootherFactory(const Teuchos::ParameterList& paramList, Teuchos::ParameterList& adaptingParamList, const std::string& pname, const std::string& value) {
  TEUCHOS_TEST_FOR_EXCEPTION(pname != "coarse: type" && pname != "coarse: list" && pname != "smoother: type" && pname.find("smoother: list", 0) != 0,
                             Exceptions::RuntimeError,
                             "MueLu::MLParameterListInterpreter::Setup(): Only \"coarse: type\", \"smoother: type\" or \"smoother: list\" (\"coarse: list\") are "
                             "supported as ML parameters for transformation of smoother/solver parameters to MueLu");
 
  // string stream containing the smoother/solver xml parameters
  std::stringstream mueluss;
 
  // Check whether we are dealing with coarse level (solver) parameters or level smoother parameters
  std::string mode = "smoother:";
  bool is_coarse   = false;
  if (pname.find("coarse:", 0) == 0) {
    mode      = "coarse:";
    is_coarse = true;
  }
 
  // check whether pre and/or post smoothing
  std::string PreOrPost = "both";
  if (paramList.isParameter(mode + " pre or post"))
    PreOrPost = paramList.get<std::string>(mode + " pre or post");
 
  TEUCHOS_TEST_FOR_EXCEPTION(mode == "coarse:" && PreOrPost != "both", Exceptions::RuntimeError,
                             "MueLu::MLParameterListInterpreter::Setup(): The parameter \"coarse: pre or post\" is not supported by MueLu. "
                             "It does not make sense for direct solvers. For iterative solvers you obtain the same effect by increasing, "
                             "e.g., the number of sweeps for the coarse grid smoother. Please remove it from your parameters.");
 
  // select smoother type
  std::string valuestr = value;  // temporary variable
  std::transform(valuestr.begin(), valuestr.end(), valuestr.begin(), ::tolower);
  if (valuestr == "jacobi" || valuestr == "gauss-seidel" || valuestr == "symmetric gauss-seidel") {
    std::string my_name;
    if (PreOrPost == "both")
      my_name = "\"" + pname + "\"";
    else
      my_name = "\"smoother: " + PreOrPost + " type\"";
    mueluss << "<Parameter name=" << my_name << " type=\"string\" value=\"RELAXATION\"/>" << std::endl;
 
  } else if (valuestr == "hiptmair") {
    std::string my_name;
    if (PreOrPost == "both")
      my_name = "\"" + pname + "\"";
    else
      my_name = "\"smoother: " + PreOrPost + " type\"";
    mueluss << "<Parameter name=" << my_name << " type=\"string\" value=\"HIPTMAIR\"/>" << std::endl;
 
  } else if (valuestr == "ifpack") {
    std::string my_name = "\"" + pname + "\"";
    if (paramList.isParameter("smoother: ifpack type")) {
      if (paramList.get<std::string>("smoother: ifpack type") == "ILU") {
        mueluss << "<Parameter name=" << my_name << " type=\"string\" value=\"ILU\"/>" << std::endl;
        adaptingParamList.remove("smoother: ifpack type", false);
      }
      if (paramList.get<std::string>("smoother: ifpack type") == "ILUT") {
        mueluss << "<Parameter name=" << my_name << " type\" type=\"string\" value=\"ILUT\"/>" << std::endl;
        adaptingParamList.remove("smoother: ifpack type", false);
      }
    }
 
  } else if ((valuestr == "chebyshev") || (valuestr == "mls")) {
    std::string my_name = "\"" + pname + "\"";
    mueluss << "<Parameter name=" << my_name << " type=\"string\" value=\"CHEBYSHEV\"/>" << std::endl;
 
  } else if (valuestr.length() > strlen("amesos") && valuestr.substr(0, strlen("amesos")) == "amesos") { /* catch Amesos-* */
    std::string solverType = valuestr.substr(strlen("amesos") + 1);                                      /* ("amesos-klu" -> "klu") */
 
    bool valid                           = false;
    const int validatorSize              = 5;
    std::string validator[validatorSize] = {"superlu", "superludist", "klu", "umfpack", "mumps"};
    for (int i = 0; i < validatorSize; i++)
      if (validator[i] == solverType)
        valid = true;
    TEUCHOS_TEST_FOR_EXCEPTION(!valid, Exceptions::RuntimeError,
                               "MueLu::MLParameterListInterpreter: unknown smoother type. '" << solverType << "' not supported.");
 
    mueluss << "<Parameter name=\"" << pname << "\" type=\"string\" value=\"" << solverType << "\"/>" << std::endl;
  } else {
    // TODO error message
    std::cout << "error in " << __FILE__ << ":" << __LINE__ << " could not find valid smoother/solver: " << valuestr << std::endl;
  }
 
  // set smoother: pre or post parameter
  // Note that there is no "coarse: pre or post" in MueLu!
  if (paramList.isParameter("smoother: pre or post") && mode == "smoother:") {
    // std::cout << "paramList" << paramList << std::endl;
    // std::string smootherPreOrPost = paramList.get<std::string>("smoother: pre or post");
    // std::cout << "Create pre or post parameter with " << smootherPreOrPost << std::endl;
    mueluss << "<Parameter name=\"smoother: pre or post\" type=\"string\" value=\"" << PreOrPost << "\"/>" << std::endl;
    adaptingParamList.remove("smoother: pre or post", false);
  }
 
  // create smoother parameter list
  if (PreOrPost != "both") {
    mueluss << "<ParameterList name=\"smoother: " << PreOrPost << " params\">" << std::endl;
  } else {
    mueluss << "<ParameterList name=\"" << mode << " params\">" << std::endl;
  }
 
  // relaxation based smoothers:
 
  if (valuestr == "jacobi" || valuestr == "gauss-seidel" || valuestr == "symmetric gauss-seidel") {
    if (valuestr == "jacobi") {
      mueluss << "<Parameter name=\"relaxation: type\" type=\"string\" value=\"Jacobi\"/>" << std::endl;
      adaptingParamList.remove("relaxation: type", false);
    }
    if (valuestr == "gauss-seidel") {
      mueluss << "<Parameter name=\"relaxation: type\" type=\"string\" value=\"Gauss-Seidel\"/>" << std::endl;
      adaptingParamList.remove("relaxation: type", false);
    }
    if (valuestr == "symmetric gauss-seidel") {
      mueluss << "<Parameter name=\"relaxation: type\" type=\"string\" value=\"Symmetric Gauss-Seidel\"/>" << std::endl;
      adaptingParamList.remove("relaxation: type", false);
    }
    if (paramList.isParameter("smoother: sweeps")) {
      mueluss << "<Parameter name=\"relaxation: sweeps\" type=\"int\" value=\"" << paramList.get<int>("smoother: sweeps") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: sweeps", false);
    }
    if (paramList.isParameter("smoother: damping factor")) {
      mueluss << "<Parameter name=\"relaxation: damping factor\" type=\"double\" value=\"" << paramList.get<double>("smoother: damping factor") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: damping factor", false);
    }
    if (paramList.isParameter("smoother: use l1 Gauss-Seidel")) {
      mueluss << "<Parameter name=\"relaxation: use l1\" type=\"bool\" value=\"" << paramList.get<bool>("smoother: use l1 Gauss-Seidel") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: use l1 Gauss-Seidel", false);
    }
  }
 
  // Chebyshev
  if (valuestr == "chebyshev") {
    if (paramList.isParameter("smoother: polynomial order")) {
      mueluss << "<Parameter name=\"chebyshev: degree\" type=\"int\" value=\"" << paramList.get<int>("smoother: polynomial order") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: polynomial order", false);
    } else {
      mueluss << "<Parameter name=\"chebyshev: degree\" type=\"int\" value=\"2\"/>" << std::endl;
    }
    if (paramList.isParameter("smoother: Chebyshev alpha")) {
      mueluss << "<Parameter name=\"chebyshev: ratio eigenvalue\" type=\"double\" value=\"" << paramList.get<double>("smoother: Chebyshev alpha") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: Chebyshev alpha", false);
    } else {
      mueluss << "<Parameter name=\"chebyshev: ratio eigenvalue\" type=\"double\" value=\"20\"/>" << std::endl;
      adaptingParamList.remove("smoother: Chebyshev alpha", false);
    }
    if (paramList.isParameter("eigen-analysis: type")) {
      mueluss << "<Parameter name=\"eigen-analysis: type\" type=\"string\" value=\"" << paramList.get<std::string>("eigen-analysis: type") << "\"/>" << std::endl;
      adaptingParamList.remove("eigen-analysis: type", false);
    } else {
      mueluss << "<Parameter name=\"eigen-analysis: type\" type=\"string\" value=\"cg\"/>" << std::endl;
    }
  }
 
  // MLS
  if (valuestr == "mls") {
    if (paramList.isParameter("smoother: MLS polynomial order")) {
      mueluss << "<Parameter name=\"chebyshev: degree\" type=\"int\" value=\"" << paramList.get<int>("smoother: MLS polynomial order") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: MLS polynomial order", false);
    } else if (paramList.isParameter("smoother: polynomial order")) {
      mueluss << "<Parameter name=\"chebyshev: degree\" type=\"int\" value=\"" << paramList.get<int>("smoother: polynomial order") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: polynomial order", false);
    } else {
      mueluss << "<Parameter name=\"chebyshev: degree\" type=\"int\" value=\"2\"/>" << std::endl;
    }
    if (paramList.isParameter("smoother: MLS alpha")) {
      mueluss << "<Parameter name=\"chebyshev: ratio eigenvalue\" type=\"double\" value=\"" << paramList.get<double>("smoother: MLS alpha") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: MLS alpha", false);
    } else if (paramList.isParameter("smoother: Chebyshev alpha")) {
      mueluss << "<Parameter name=\"chebyshev: ratio eigenvalue\" type=\"double\" value=\"" << paramList.get<double>("smoother: Chebyshev alpha") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: Chebyshev alpha", false);
    } else {
      mueluss << "<Parameter name=\"chebyshev: ratio eigenvalue\" type=\"double\" value=\"20\"/>" << std::endl;
    }
    if (paramList.isParameter("eigen-analysis: type")) {
      mueluss << "<Parameter name=\"eigen-analysis: type\" type=\"string\" value=\"" << paramList.get<std::string>("eigen-analysis: type") << "\"/>" << std::endl;
      adaptingParamList.remove("eigen-analysis: type", false);
    } else {
      mueluss << "<Parameter name=\"eigen-analysis: type\" type=\"string\" value=\"cg\"/>" << std::endl;
    }
  }
 
  if (valuestr == "hiptmair") {
    std::string subSmootherType = "Chebyshev";
    if (!is_coarse && paramList.isParameter("subsmoother: type"))
      subSmootherType = paramList.get<std::string>("subsmoother: type");
    if (is_coarse && paramList.isParameter("smoother: subsmoother type"))
      subSmootherType = paramList.get<std::string>("smoother: subsmoother type");
 
    std::string subSmootherIfpackType;
 
    if (subSmootherType == "Chebyshev")
      subSmootherIfpackType = "CHEBYSHEV";
    else if (subSmootherType == "Jacobi" || subSmootherType == "Gauss-Seidel" || subSmootherType == "symmetric Gauss-Seidel") {
      if (subSmootherType == "symmetric Gauss-Seidel") subSmootherType = "Symmetric Gauss-Seidel";  // FIXME
      subSmootherIfpackType = "RELAXATION";
    } else
      TEUCHOS_TEST_FOR_EXCEPTION(true, Exceptions::RuntimeError, "MueLu::MLParameterListTranslator: unknown smoother type. '" << subSmootherType << "' not supported by MueLu.");
 
    mueluss << "<Parameter name=\"hiptmair: smoother type 1\" type=\"string\" value=\"" << subSmootherIfpackType << "\"/>" << std::endl;
    mueluss << "<Parameter name=\"hiptmair: smoother type 2\" type=\"string\" value=\"" << subSmootherIfpackType << "\"/>" << std::endl;
 
    mueluss << "<ParameterList name=\"hiptmair: smoother list 1\">" << std::endl;
    if (subSmootherType == "Chebyshev") {
      std::string edge_sweeps = is_coarse ? "smoother: edge sweeps" : "subsmoother: edge sweeps";
      std::string cheby_alpha = is_coarse ? "smoother: Chebyshev alpha" : "subsmoother: Chebyshev alpha";
 
      if (paramList.isParameter(edge_sweeps)) {
        mueluss << "<Parameter name=\"chebyshev: degree\" type=\"int\" value=\"" << paramList.get<int>(edge_sweeps) << "\"/>" << std::endl;
        adaptingParamList.remove("subsmoother: edge sweeps", false);
      }
      if (paramList.isParameter(cheby_alpha)) {
        mueluss << "<Parameter name=\"chebyshev: ratio eigenvalue\" type=\"double\" value=\"" << paramList.get<double>(cheby_alpha) << "\"/>" << std::endl;
      }
    } else {
      std::string edge_sweeps = is_coarse ? "smoother: edge sweeps" : "subsmoother: edge sweeps";
      std::string SGS_damping = is_coarse ? "smoother: SGS damping factor" : "subsmoother: SGS damping factor";
 
      if (paramList.isParameter(edge_sweeps)) {
        mueluss << "<Parameter name=\"relaxation: type\" type=\"string\" value=\"" << subSmootherType << "\"/>" << std::endl;
        mueluss << "<Parameter name=\"relaxation: sweeps\" type=\"int\" value=\"" << paramList.get<int>(edge_sweeps) << "\"/>" << std::endl;
        adaptingParamList.remove(edge_sweeps, false);
      }
      if (paramList.isParameter(SGS_damping)) {
        mueluss << "<Parameter name=\"relaxation: damping factor\" type=\"double\" value=\"" << paramList.get<double>(SGS_damping) << "\"/>" << std::endl;
      }
    }
    mueluss << "</ParameterList>" << std::endl;
 
    mueluss << "<ParameterList name=\"hiptmair: smoother list 2\">" << std::endl;
    if (subSmootherType == "Chebyshev") {
      std::string node_sweeps = is_coarse ? "smoother: node sweeps" : "subsmoother: node sweeps";
      std::string cheby_alpha = is_coarse ? "smoother: Chebyshev alpha" : "subsmoother: Chebyshev alpha";
      if (paramList.isParameter(node_sweeps)) {
        mueluss << "<Parameter name=\"chebyshev: degree\" type=\"int\" value=\"" << paramList.get<int>(node_sweeps) << "\"/>" << std::endl;
        adaptingParamList.remove("subsmoother: node sweeps", false);
      }
      if (paramList.isParameter(cheby_alpha)) {
        mueluss << "<Parameter name=\"chebyshev: ratio eigenvalue\" type=\"double\" value=\"" << paramList.get<double>(cheby_alpha) << "\"/>" << std::endl;
        adaptingParamList.remove("subsmoother: Chebyshev alpha", false);
      }
    } else {
      std::string node_sweeps = is_coarse ? "smoother: node sweeps" : "subsmoother: node sweeps";
      std::string SGS_damping = is_coarse ? "smoother: SGS damping factor" : "subsmoother: SGS damping factor";
 
      if (paramList.isParameter(node_sweeps)) {
        mueluss << "<Parameter name=\"relaxation: type\" type=\"string\" value=\"" << subSmootherType << "\"/>" << std::endl;
        mueluss << "<Parameter name=\"relaxation: sweeps\" type=\"int\" value=\"" << paramList.get<int>(node_sweeps) << "\"/>" << std::endl;
        adaptingParamList.remove("subsmoother: node sweeps", false);
      }
      if (paramList.isParameter(SGS_damping)) {
        mueluss << "<Parameter name=\"relaxation: damping factor\" type=\"double\" value=\"" << paramList.get<double>(SGS_damping) << "\"/>" << std::endl;
        adaptingParamList.remove("subsmoother: SGS damping factor", false);
      }
    }
    mueluss << "</ParameterList>" << std::endl;
  }
 
  // parameters for ILU based preconditioners
  if (valuestr == "ifpack") {
    // add Ifpack parameters
    if (paramList.isParameter("smoother: ifpack overlap")) {
      mueluss << "<Parameter name=\"partitioner: overlap\" type=\"int\" value=\"" << paramList.get<int>("smoother: ifpack overlap") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: ifpack overlap", false);
    }
    if (paramList.isParameter("smoother: ifpack level-of-fill")) {
      mueluss << "<Parameter name=\"fact: level-of-fill\" type=\"int\" value=\"" << paramList.get<int>("smoother: ifpack level-of-fill") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: ifpack level-of-fill", false);
    }
    if (paramList.isParameter("smoother: ifpack absolute threshold")) {
      mueluss << "<Parameter name=\"fact: absolute threshold\" type=\"int\" value=\"" << paramList.get<double>("smoother: ifpack absolute threshold") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: ifpack absolute threshold", false);
    }
    if (paramList.isParameter("smoother: ifpack relative threshold")) {
      mueluss << "<Parameter name=\"fact: relative threshold\" type=\"int\" value=\"" << paramList.get<double>("smoother: ifpack relative threshold") << "\"/>" << std::endl;
      adaptingParamList.remove("smoother: ifpack relative threshold", false);
    }
  }
 
  mueluss << "</ParameterList>" << std::endl;
 
  // max coarse level size parameter (outside of smoother parameter lists)
  if (paramList.isParameter("smoother: max size")) {
    mueluss << "<Parameter name=\"coarse: max size\" type=\"int\" value=\"" << paramList.get<int>("smoother: max size") << "\"/>" << std::endl;
    adaptingParamList.remove("smoother: max size", false);
  }
 
  return mueluss.str();
}
 
Teuchos::RCP<Teuchos::ParameterList> ML2MueLuParameterTranslator::SetParameterList(const Teuchos::ParameterList& paramList_in, const std::string& defaultVals) {
  Teuchos::ParameterList paramList = paramList_in;
 
  RCP<Teuchos::FancyOStream> out = Teuchos::fancyOStream(Teuchos::rcpFromRef(std::cout));  // TODO: use internal out (GetOStream())
  // ML counts levels slightly differently than MueLu does so "repartition: start level" is off by one
  // ML defaults to "1" if we don't ask for anything else and that needs to map to "2"
  if (paramList.isParameter("repartition: start level")) {
    paramList.set("repartition: start level", paramList.get<int>("repartition: start level") + 1);
  } else {
    paramList.set("repartition: start level", 2);
  }
  paramList.set("repartition: partitioner", "zoltan");
 
  // ML sets this to 5000
  if (!paramList.isParameter("repartition: put on single proc")) {
    paramList.set("repartition: put on single proc", 5000);
  }
 
  // Set the default values
  if (defaultVals != "") {
    TEUCHOS_TEST_FOR_EXCEPTION(defaultVals != "SA" && defaultVals != "NSSA" && defaultVals != "refmaxwell" && defaultVals != "Maxwell", Exceptions::RuntimeError,
                               "MueLu::ML2MueLuParameterTranslator: only \"SA\", \"NSSA\", \"refmaxwell\" and \"Maxwell\" allowed as options for ML default parameters.");
    Teuchos::ParameterList ML_defaultlist;
    if (defaultVals == "refmaxwell")
      SetDefaultsRefMaxwell(ML_defaultlist);
    else
      SetDefaults(defaultVals, ML_defaultlist);
 
    // merge user parameters with default parameters
    MueLu::MergeParameterList(paramList_in, ML_defaultlist, true);
    paramList = ML_defaultlist;
  }
 
  //
  // Move smoothers/aggregation/coarse parameters to sublists
  //
 
  // ML allows to have level-specific smoothers/aggregation/coarse parameters at the top level of the list or/and defined in sublists:
  // See also: ML Guide section 6.4.1, MueLu::CreateSublists, ML_CreateSublists
  ParameterList paramListWithSubList;
  MueLu::CreateSublists(paramList, paramListWithSubList);
  paramList                                = paramListWithSubList;  // swap
  Teuchos::ParameterList adaptingParamList = paramList;             // copy of paramList which is used to removed already interpreted parameters
 
  {
    // Special handling of ML's aux aggregation
    //
    // In ML, when "aggregation: aux: enable" == true, the threshold
    // is set via "aggregation: aux: threshold" instead of
    // "aggregation: threshold". In MueLu, we use "aggregation: drop
    // tol" regardless of "sa: use filtering". So depending on
    // "aggregation: aux: enable" we use either one or the other
    // threshold to set "aggregation: drop tol".
    if (paramListWithSubList.isParameter("aggregation: aux: enable") && paramListWithSubList.get<bool>("aggregation: aux: enable")) {
      if (paramListWithSubList.isParameter("aggregation: aux: threshold")) {
        paramListWithSubList.set("aggregation: threshold", paramListWithSubList.get<double>("aggregation: aux: threshold"));
        paramListWithSubList.remove("aggregation: aux: threshold");
      }
    }
  }
 
  // stringstream for concatenating xml parameter strings.
  std::stringstream mueluss;
  // create surrounding MueLu parameter list
  mueluss << "<ParameterList name=\"MueLu\">" << std::endl;
 
  // make sure that MueLu's phase1 matches ML's
  mueluss << "<Parameter name=\"aggregation: match ML phase1\"       type=\"bool\"     value=\"true\"/>" << std::endl;
 
  // make sure that MueLu's phase2a matches ML's
  mueluss << "<Parameter name=\"aggregation: match ML phase2a\"      type=\"bool\"     value=\"true\"/>" << std::endl;
 
  // make sure that MueLu's phase2b matches ML's
  mueluss << "<Parameter name=\"aggregation: match ML phase2b\"      type=\"bool\"     value=\"true\"/>" << std::endl;
 
  // make sure that MueLu's drop tol matches ML's
  mueluss << "<Parameter name=\"aggregation: use ml scaling of drop tol\"      type=\"bool\"     value=\"true\"/>" << std::endl;
 
  // make sure that MueLu's SaP diagonal behavior matches ML's
  mueluss << "<Parameter name=\"sa: diagonal replacement tolerance\"      type=\"double\"     value=\"0.0\"/>" << std::endl;
 
  // We allow MueLu parameter to be passed through the translation.
  // We split them off and then check if we have conflicts.
  Teuchos::ParameterList mueluList;
 
  // loop over all ML parameters in provided parameter list
  for (ParameterList::ConstIterator param = paramListWithSubList.begin(); param != paramListWithSubList.end(); ++param) {
    // extract ML parameter name
    const std::string& pname = paramListWithSubList.name(param);
 
    // Short circuit the "parameterlist: syntax" parameter
    // We want to remove this to make sure that createXpetraPreconditioner doesn't re-call translate()
    if (pname == "parameterlist: syntax") {
      continue;
    }
 
    // extract corresponding (ML) value
    // remove ParameterList specific information from result string
    std::stringstream valuess;
    valuess << paramList.entry(param);
    std::string valuestr = valuess.str();
    replaceAll(valuestr, "[unused]", "");
    replaceAll(valuestr, "[default]", "");
    valuestr = trim(valuestr);
 
    // transform ML parameter to corresponding MueLu parameter and generate XML string
    std::string valueInterpreterStr = "\"" + valuestr + "\"";
    std::string ret                 = MasterList::interpretParameterName(MasterList::ML2MueLu(pname), valueInterpreterStr);
    bool hasBeenProcessed           = false;
 
    if ((pname == "aggregation: aux: enable") && (paramListWithSubList.get<bool>("aggregation: aux: enable"))) {
      mueluss << "<Parameter name=\"aggregation: drop scheme\" type=\"string\"     value=\""
              << "distance laplacian"
              << "\"/>" << std::endl;
    }
 
    // special handling for verbosity level
    if (pname == "ML output") {
      // Translate verbosity parameter
      int verbosityLevel     = std::stoi(valuestr);
      std::string eVerbLevel = "none";
      if (verbosityLevel == 0) eVerbLevel = "none";
      if (verbosityLevel >= 1) eVerbLevel = "low";
      if (verbosityLevel >= 5) eVerbLevel = "medium";
      if (verbosityLevel >= 10) eVerbLevel = "high";
      if (verbosityLevel >= 11) eVerbLevel = "extreme";
      if (verbosityLevel >= 42) eVerbLevel = "test";
      if (verbosityLevel >= 666) eVerbLevel = "interfacetest";
      mueluss << "<Parameter name=\"verbosity\" type=\"string\"     value=\"" << eVerbLevel << "\"/>" << std::endl;
      continue;
    }
 
    // add XML string
    if (ret != "") {
      mueluss << ret << std::endl;
 
      // remove parameter from ML parameter list
      adaptingParamList.remove(pname, false);
 
      hasBeenProcessed = true;
    }
 
    // special handling for energy minimization
    // TAW: this is not optimal for symmetric problems but at least works.
    //      for symmetric problems the "energy minimization" parameter should not exist anyway...
    if (pname == "energy minimization: enable") {
      mueluss << "<Parameter name=\"problem: symmetric\"      type=\"bool\"     value=\"false\"/>" << std::endl;
      mueluss << "<Parameter name=\"transpose: use implicit\" type=\"bool\"     value=\"false\"/>" << std::endl;
      hasBeenProcessed = true;
    }
 
    // special handling for smoothers
    if (pname == "smoother: type") {
      mueluss << GetSmootherFactory(paramList, adaptingParamList, pname, valuestr);
      hasBeenProcessed = true;
    }
 
    // special handling for level-specific smoothers
    if (pname.find("smoother: list (level", 0) == 0) {
      // Scan pname (ex: pname="smoother: type (level 2)")
      std::string type, option;
      int levelID = -1;
      {
        typedef Teuchos::ArrayRCP<char>::size_type size_type;
        Teuchos::Array<char> ctype(size_type(pname.size() + 1));
        Teuchos::Array<char> coption(size_type(pname.size() + 1));
 
        int matched = sscanf(pname.c_str(), "%s %[^(](level %d)", ctype.getRawPtr(), coption.getRawPtr(), &levelID);  // use [^(] instead of %s to allow for strings with white-spaces (ex: "ifpack list")
        type        = std::string(ctype.getRawPtr());
        option      = std::string(coption.getRawPtr());
        option.resize(option.size() - 1);  // remove final white-space
 
        if (matched != 3 || (type != "smoother:")) {
          TEUCHOS_TEST_FOR_EXCEPTION(true, MueLu::Exceptions::RuntimeError, "MueLu::CreateSublist(), Line " << __LINE__ << ". "
                                                                                                            << "Error in creating level-specific sublists" << std::endl
                                                                                                            << "Offending parameter: " << pname << std::endl);
        }
 
        mueluss << "<ParameterList name=\"level " << levelID << "\">" << std::endl;
        mueluss << GetSmootherFactory(paramList.sublist(pname), adaptingParamList.sublist(pname), "smoother: type", paramList.sublist(pname).get<std::string>("smoother: type"));
        mueluss << "</ParameterList>" << std::endl;
      }
      hasBeenProcessed = true;
    }
    // special handling for coarse level
    TEUCHOS_TEST_FOR_EXCEPTION(paramList.isParameter("coarse: type"), Exceptions::RuntimeError, "MueLu::MLParameterListInterpreter::Setup(): The parameter \"coarse: type\" should not exist but being stored in \"coarse: list\" instead.");
 
    if (pname == "coarse: list") {
      // interpret smoother/coarse solver data.
      // Note, that we inspect the "coarse: list" sublist to define the "coarse" smoother/solver
      // Be aware, that MueLu::CreateSublists renames the prefix of the parameters in the "coarse: list" from "coarse" to "smoother".
      // Therefore, we have to check the values of the "smoother" parameters
 
      // DO we have a coarse list / smoother type?  If not, assume KLU
      std::string coarse_smoother = "Amesos-KLU";
      if (paramList.sublist("coarse: list").isParameter("smoother: type"))
        coarse_smoother = paramList.sublist("coarse: list").get<std::string>("smoother: type");
 
      mueluss << GetSmootherFactory(paramList.sublist("coarse: list"), adaptingParamList.sublist("coarse: list"), "coarse: type", coarse_smoother);
      hasBeenProcessed = true;
    }
 
    if (pname == "aggregation: type") {
      if (valuestr == "Uncoupled" || valuestr == "Uncoupled-MIS") {
        mueluss << "<Parameter name=\"aggregation: type\"      type=\"string\"     value=\"uncoupled\"/>" << std::endl;
        mueluss << "<Parameter name=\"aggregation: backend\"      type=\"string\"     value=\"host\"/>" << std::endl;
      } else
        TEUCHOS_TEST_FOR_EXCEPTION(true, MueLu::Exceptions::RuntimeError, "Only \"Uncoupled\" aggregation is supported, not \"" << valuestr << "\"\n");
      hasBeenProcessed = true;
    }
 
    if (pname == "default values" ||
        pname == "problem: type" ||
        pname == "smoother: sweeps" ||
        pname == "smoother: damping factor" ||
        pname == "smoother: pre or post" ||
        pname == "smoother: ifpack type" ||
        pname == "smoother: Chebyshev alpha" ||
        pname == "smoother: use l1 Gauss-Seidel" ||
        pname == "smoother: Gauss-Seidel efficient symmetric" ||
        pname == "smoother: Hiptmair efficient symmetric" ||
        pname == "subsmoother: node sweeps" ||
        pname == "subsmoother: edge sweeps" ||
        pname == "subsmoother: type" ||
        pname == "subsmoother: Chebyshev alpha" ||
        pname == "coarse: max size" ||
        pname == "x-coordinates" ||
        pname == "y-coordinates" ||
        pname == "z-coordinates" ||
        pname == "node: x-coordinates" ||
        pname == "node: y-coordinates" ||
        pname == "node: z-coordinates" ||
        pname == "repartition: partitioner" ||
        pname == "eigen-analysis: type" ||
        pname == "increasing or decreasing"  // ignored
    )
      hasBeenProcessed = true;
 
    if (paramList.isSublist(pname))
      hasBeenProcessed = true;
 
    if (!hasBeenProcessed) {
      if (MasterList::List()->isParameter(pname)) {
        mueluList.setEntry(pname, paramList.entry(param));
      }
    }
  }  // for
  mueluss << "</ParameterList>" << std::endl;
 
  auto translatedList = Teuchos::getParametersFromXmlString(mueluss.str());
 
  // Check that none of the MueLu parameters that were passed in clash with interpreted ML parameters
  for (auto it = mueluList.begin(); it != mueluList.end(); ++it) {
    auto& pname = mueluList.name(it);
    TEUCHOS_TEST_FOR_EXCEPTION(translatedList->isParameter(pname), MueLu::Exceptions::RuntimeError, "The parameter \"" << pname << "\" has been set both using ML and MueLu parameter names.");
  }
  // Add the MueLu parameters to the translated list
  translatedList->setParameters(mueluList);
 
  if (defaultVals == "Maxwell") {
    // ML used a flat list for Maxwell1.
    // MueLu uses sublists for the two hierarchies.
    // We need to redistribute the parameters.
 
    Teuchos::RCP<Teuchos::ParameterList> newList = Teuchos::rcp(new Teuchos::ParameterList());
 
    // interpret ML list
    newList->sublist("maxwell1: 22list") = *translatedList;
 
    // copy verbosity setting
    if (newList->sublist("maxwell1: 22list").isType<std::string>("verbosity")) {
      newList->set("verbosity", newList->sublist("maxwell1: 22list").get<std::string>("verbosity"));
      newList->sublist("maxwell1: 11list").set("verbosity", newList->sublist("maxwell1: 22list").get<std::string>("verbosity"));
    }
 
    // Hardwiring options to ensure ML compatibility
    newList->sublist("maxwell1: 22list").set("use kokkos refactor", false);
    newList->sublist("maxwell1: 22list").set("tentative: constant column sums", false);
    newList->sublist("maxwell1: 22list").set("tentative: calculate qr", false);
 
    newList->sublist("maxwell1: 11list").set("use kokkos refactor", false);
    newList->sublist("maxwell1: 11list").set("multigrid algorithm", "smoothed reitzinger");
    newList->sublist("maxwell1: 11list").set("aggregation: type", "uncoupled");
 
    // We are intentionally setting this to true, contrary to the default value.
    // This is for backward compatibility with ML.
    newList->sublist("maxwell1: 11list").set("sa: use edge matrix for smoothing", true);
 
    // newList->sublist("maxwell1: 11list").set("aggregation: use ml scaling of drop tol", true);
    newList->sublist("maxwell1: 22list").set("aggregation: use ml scaling of drop tol", true);
    newList->sublist("maxwell1: 22list").set("aggregation: min agg size", 3);
 
    // Move damping factor from 22list to 11list
    if (newList->sublist("maxwell1: 22list").isType<double>("sa: damping factor")) {
      newList->sublist("maxwell1: 11list").set("sa: damping factor", newList->sublist("maxwell1: 22list").get<double>("sa: damping factor"));
      newList->sublist("maxwell1: 22list").remove("sa: damping factor");
    }
    newList->sublist("maxwell1: 22list").set("multigrid algorithm", "unsmoothed");
    newList->sublist("maxwell1: 22list").set("aggregation: type", "uncoupled");
 
    // Move coarse solver and smoother stuff from 22list to 11list
    std::vector<std::string> convert = {"coarse:", "smoother:", "smoother: pre", "smoother: post"};
    for (auto it = convert.begin(); it != convert.end(); ++it) {
      if (newList->sublist("maxwell1: 22list").isType<std::string>(*it + " type")) {
        newList->sublist("maxwell1: 11list").set(*it + " type", newList->sublist("maxwell1: 22list").get<std::string>(*it + " type"));
        newList->sublist("maxwell1: 22list").remove(*it + " type");
      }
      if (newList->sublist("maxwell1: 22list").isSublist(*it + " params")) {
        newList->sublist("maxwell1: 11list").set(*it + " params", newList->sublist("maxwell1: 22list").sublist(*it + " params"));
        newList->sublist("maxwell1: 22list").remove(*it + " params");
      }
    }
    if (newList->sublist("maxwell1: 22list").isType<std::string>("cycle type")) {
      newList->sublist("maxwell1: 11list").set("cycle type", newList->sublist("maxwell1: 22list").get<std::string>("cycle type"));
      newList->sublist("maxwell1: 22list").remove("cycle type");
    }
    if (newList->sublist("maxwell1: 22list").isType<std::string>("smoother: pre or post")) {
      newList->sublist("maxwell1: 11list").set("smoother: pre or post", newList->sublist("maxwell1: 22list").get<std::string>("smoother: pre or post"));
      newList->sublist("maxwell1: 22list").remove("smoother: pre or post");
    }
 
    newList->sublist("maxwell1: 22list").set("smoother: type", "none");
    newList->sublist("maxwell1: 22list").set("coarse: type", "none");
 
    newList->set("maxwell1: nodal smoother fix zero diagonal threshold", 1e-10);
    newList->sublist("maxwell1: 22list").set("rap: fix zero diagonals", true);
    newList->sublist("maxwell1: 22list").set("rap: fix zero diagonals threshold", 1e-10);
 
    return newList;
  }
 
  return translatedList;
}
 
static void ML_OverwriteDefaults(ParameterList& inList, ParameterList& List, bool OverWrite) {
  ParameterList* coarseList = 0;
  // Don't create the coarse list if it doesn't already exist!
  if (inList.isSublist("coarse: list"))
    coarseList = &(inList.sublist("coarse: list"));
  for (ParameterList::ConstIterator param = List.begin(); param != List.end(); param++) {
    std::string pname = List.name(param);
    if (coarseList && pname.find("coarse: ", 0) != std::string::npos) {
      if (!coarseList->isParameter(pname) || OverWrite)
        coarseList->setEntry(pname, List.entry(param));
    } else if (!inList.isParameter(pname) || OverWrite) {
      inList.setEntry(pname, List.entry(param));
    }
  }
}  // ML_OverwriteDefaults()
 
static int UpdateList(Teuchos::ParameterList& source, Teuchos::ParameterList& dest, bool OverWrite) {
  for (Teuchos::ParameterList::ConstIterator param = source.begin(); param != source.end(); param++)
    if (dest.isParameter(source.name(param)) == false || OverWrite)
      dest.setEntry(source.name(param), source.entry(param));
  return 0;
}
 
int ML2MueLuParameterTranslator::SetDefaults(std::string ProblemType, Teuchos::ParameterList& List,
                                             int* ioptions, double* iparams, const bool OverWrite) {
  Teuchos::RCP<std::vector<int> > options;
  Teuchos::RCP<std::vector<double> > params;
 
  // Taken from AztecOO
  const int MUELU_AZ_OPTIONS_SIZE = 47;
  const int MUELU_AZ_PARAMS_SIZE  = 30;
 
  /*bool SetDefaults = false;
    if (ioptions == NULL || iparams == NULL)
    SetDefaults = true;*/
 
  if (ioptions == NULL)
    options = rcp(new std::vector<int>(MUELU_AZ_OPTIONS_SIZE));
  else
    options = rcp(new std::vector<int>(ioptions, ioptions + MUELU_AZ_OPTIONS_SIZE));
  if (iparams == NULL)
    params = rcp(new std::vector<double>(MUELU_AZ_PARAMS_SIZE));
  else
    params = rcp(new std::vector<double>(iparams, iparams + MUELU_AZ_PARAMS_SIZE));
 
  // if (SetDefaults)
  //     AZ_defaults(&(*options)[0],&(*params)[0]);
 
  if (ProblemType == "SA") {
    SetDefaultsSA(List, options, params, OverWrite);
  } else if (ProblemType == "DD") {
    SetDefaultsDD(List, options, params, OverWrite);
  } else if (ProblemType == "DD-ML") {
    SetDefaultsDD_3Levels(List, options, params, OverWrite);
  } else if (ProblemType == "maxwell" || ProblemType == "Maxwell") {
    SetDefaultsMaxwell(List, options, params, OverWrite);
  } else if (ProblemType == "NSSA") {
    SetDefaultsNSSA(List, options, params, OverWrite);
  } else if (ProblemType == "DD-ML-LU") {
    SetDefaultsDD_3Levels_LU(List, options, params, OverWrite);
  } else if (ProblemType == "DD-LU") {
    SetDefaultsDD_LU(List, options, params, OverWrite);
  } else if (ProblemType == "Classical-AMG") {
    SetDefaultsClassicalAMG(List, options, params, OverWrite);
  } else {
    std::cerr << "ERROR: Wrong input parameter in `SetDefaults' ("
              << ProblemType << "). Should be: " << std::endl
              << "ERROR: <SA> / <DD> / <DD-ML> / <maxwell>" << std::endl;
  }
  return (0);
}
 
int ML2MueLuParameterTranslator::SetDefaultsSA(ParameterList& inList,
                                               Teuchos::RCP<std::vector<int> >& /* options */,
                                               Teuchos::RCP<std::vector<double> >& /* params */,
                                               bool OverWrite) {
  ParameterList List;
  inList.setName("SA default values");
  List.set("default values", "SA");
  List.set("max levels", 10);
  List.set("prec type", "MGV");
  List.set("increasing or decreasing", "increasing");
 
  List.set("aggregation: type", "Uncoupled-MIS");
  List.set("aggregation: damping factor", 1.333);
  List.set("eigen-analysis: type", "cg");
  List.set("eigen-analysis: iterations", 10);
 
  List.set("smoother: sweeps", 2);
  List.set("smoother: damping factor", 1.0);
  List.set("smoother: pre or post", "both");
  List.set("smoother: type", "symmetric Gauss-Seidel");
 
  List.set("coarse: type", "Amesos-KLU");
  List.set("coarse: max size", 128);
  List.set("coarse: pre or post", "post");
  List.set("coarse: sweeps", 1);
  List.set("coarse: split communicator", false);
 
  // Make sure we know this follows the ML defaults
  List.set("parameterlist: syntax", "ml");
 
  ML_OverwriteDefaults(inList, List, OverWrite);
  return 0;
}  // ML2MueLuParameterTranslator::SetDefaultsSA()
 
int ML2MueLuParameterTranslator::SetDefaultsDD(ParameterList& inList,
                                               Teuchos::RCP<std::vector<int> >& /*options*/,
                                               Teuchos::RCP<std::vector<double> >& /*params*/,
                                               bool OverWrite) {
  ParameterList List;
 
  inList.setName("DD default values");
  List.set("default values", "DD");
  List.set("max levels", 2);
  List.set("prec type", "MGV");
  List.set("increasing or decreasing", "increasing");
 
  List.set("aggregation: type", "METIS");
  List.set("aggregation: local aggregates", 1);
  List.set("aggregation: damping factor", 1.333);
  List.set("eigen-analysis: type", "power-method");
  List.set("eigen-analysis: iterations", 20);
 
  List.set("smoother: sweeps", 1);
  List.set("smoother: pre or post", "both");
  /*#ifdef HAVE_ML_AZTECOO
  List.set("smoother: type","Aztec");
  (*options)[AZ_precond] = AZ_dom_decomp;
  (*options)[AZ_subdomain_solve] = AZ_ilu;
  List.set("smoother: Aztec options",options);
  List.set("smoother: Aztec params",params);
  List.set("smoother: Aztec as solver",false);
  #endif*/
 
  List.set("coarse: type", "Amesos-KLU");
  List.set("coarse: max size", 128);
  List.set("coarse: pre or post", "post");
  List.set("coarse: sweeps", 1);
 
  // Make sure we know this follows the ML defaults
  List.set("parameterlist: syntax", "ml");
 
  ML_OverwriteDefaults(inList, List, OverWrite);
  return 0;
}  // ML2MueLuParameterTranslator::SetDefaultsDD()
 
int ML2MueLuParameterTranslator::SetDefaultsDD_3Levels(ParameterList& inList,
                                                       Teuchos::RCP<std::vector<int> >& /*options*/,
                                                       Teuchos::RCP<std::vector<double> >& /*params*/,
                                                       bool OverWrite) {
  ParameterList List;
 
  inList.setName("DD-ML default values");
  List.set("default values", "DD-ML");
 
  List.set("max levels", 3);
  List.set("prec type", "MGV");
  List.set("increasing or decreasing", "increasing");
 
  List.set("aggregation: type", "METIS");
  List.set("aggregation: nodes per aggregate", 512);
  List.set("aggregation: next-level aggregates per process", 128);
  List.set("aggregation: damping factor", 1.333);
  List.set("eigen-analysis: type", "power-method");
  List.set("eigen-analysis: iterations", 20);
 
  List.set("smoother: sweeps", 1);
  List.set("smoother: pre or post", "both");
  /*#ifdef HAVE_ML_AZTECOO
  List.set("smoother: type","Aztec");
  (*options)[AZ_precond] = AZ_dom_decomp;
  (*options)[AZ_subdomain_solve] = AZ_ilu;
  List.set("smoother: Aztec options",options);
  List.set("smoother: Aztec params",params);
  List.set("smoother: Aztec as solver",false);
  #endif*/
 
  List.set("coarse: type", "Amesos-KLU");
  List.set("coarse: max size", 128);
  List.set("coarse: pre or post", "post");
  List.set("coarse: sweeps", 1);
 
  // Make sure we know this follows the ML defaults
  List.set("parameterlist: syntax", "ml");
 
  ML_OverwriteDefaults(inList, List, OverWrite);
  return 0;
}  // ML2MueLuParameterTranslator::SetDefaultsDD_3Levels()
 
int ML2MueLuParameterTranslator::SetDefaultsMaxwell(ParameterList& inList,
                                                    Teuchos::RCP<std::vector<int> >& /* options */,
                                                    Teuchos::RCP<std::vector<double> >& /* params */,
                                                    bool OverWrite) {
  ParameterList List;
 
  inList.setName("Maxwell default values");
  List.set("default values", "maxwell");
  List.set("max levels", 10);
  List.set("prec type", "MGV");
  List.set("increasing or decreasing", "decreasing");
 
  List.set("aggregation: type", "Uncoupled-MIS");
  List.set("aggregation: damping factor", 1.333);
  List.set("eigen-analysis: type", "cg");
  List.set("eigen-analysis: iterations", 10);
  // dropping threshold for small entries in edge prolongator
  List.set("aggregation: edge prolongator drop threshold", 0.0);
 
  List.set("smoother: sweeps", 1);
  List.set("smoother: damping factor", 1.0);
  List.set("smoother: pre or post", "both");
  List.set("smoother: type", "Hiptmair");
  List.set("smoother: Hiptmair efficient symmetric", true);
  List.set("subsmoother: type", "Chebyshev");  // Hiptmair subsmoother options
  List.set("subsmoother: Chebyshev alpha", 20.0);
  List.set("subsmoother: node sweeps", 4);
  List.set("subsmoother: edge sweeps", 4);
 
  // direct solver on coarse problem
  List.set("coarse: type", "Amesos-KLU");
  List.set("coarse: max size", 128);
  List.set("coarse: pre or post", "post");
  List.set("coarse: sweeps", 1);
 
  // Make sure we know this follows the ML defaults
  List.set("parameterlist: syntax", "ml");
 
  ML_OverwriteDefaults(inList, List, OverWrite);
  return 0;
}  // ML2MueLuParameterTranslator::SetDefaultsMaxwell()
 
int ML2MueLuParameterTranslator::SetDefaultsNSSA(ParameterList& inList,
                                                 Teuchos::RCP<std::vector<int> >& /* options */,
                                                 Teuchos::RCP<std::vector<double> >& /* params */,
                                                 bool OverWrite) {
  ParameterList List;
 
  inList.setName("NSSA default values");
  List.set("default values", "NSSA");
  List.set("max levels", 10);
  List.set("prec type", "MGW");
  List.set("increasing or decreasing", "increasing");
 
  List.set("aggregation: type", "Uncoupled-MIS");
  List.set("energy minimization: enable", true);
  List.set("eigen-analysis: type", "power-method");
  List.set("eigen-analysis: iterations", 20);
 
  List.set("smoother: sweeps", 4);
  List.set("smoother: damping factor", .67);
  List.set("smoother: pre or post", "post");
  List.set("smoother: type", "symmetric Gauss-Seidel");
 
  List.set("coarse: type", "Amesos-KLU");
  List.set("coarse: max size", 256);
  List.set("coarse: pre or post", "post");
  List.set("coarse: sweeps", 1);
 
  // Make sure we know this follows the ML defaults
  List.set("parameterlist: syntax", "ml");
 
  ML_OverwriteDefaults(inList, List, OverWrite);
  return 0;
}  // ML2MueLuParameterTranslator::SetDefaultsNSSA()
 
int ML2MueLuParameterTranslator::SetDefaultsDD_LU(ParameterList& inList,
                                                  Teuchos::RCP<std::vector<int> >& /*options*/,
                                                  Teuchos::RCP<std::vector<double> >& /*params*/,
                                                  bool OverWrite) {
  ParameterList List;
 
  inList.setName("DD-LU default values");
  List.set("default values", "DD-LU");
  List.set("max levels", 2);
  List.set("prec type", "MGV");
  List.set("increasing or decreasing", "increasing");
 
  List.set("aggregation: type", "METIS");
  List.set("aggregation: local aggregates", 1);
  List.set("aggregation: damping factor", 1.333);
  List.set("eigen-analysis: type", "power-method");
  List.set("eigen-analysis: iterations", 20);
 
  List.set("smoother: sweeps", 1);
  List.set("smoother: pre or post", "both");
 
  /*#ifdef HAVE_ML_AZTECOO
  List.set("smoother: type","Aztec");
  (*options)[AZ_precond] = AZ_dom_decomp;
  (*options)[AZ_subdomain_solve] = AZ_lu;
  List.set("smoother: Aztec options",options);
  List.set("smoother: Aztec params",params);
  List.set("smoother: Aztec as solver",false);
  #endif*/
 
  List.set("coarse: type", "Amesos-KLU");
  List.set("coarse: max size", 128);
  List.set("coarse: pre or post", "post");
  List.set("coarse: sweeps", 1);
 
  // Make sure we know this follows the ML defaults
  List.set("parameterlist: syntax", "ml");
 
  ML_OverwriteDefaults(inList, List, OverWrite);
  return 0;
}  // ML2MueLuParameterTranslator::SetDefaultsDD_LU()
 
int ML2MueLuParameterTranslator::SetDefaultsDD_3Levels_LU(ParameterList& inList,
                                                          Teuchos::RCP<std::vector<int> >& /*options*/,
                                                          Teuchos::RCP<std::vector<double> >& /*params*/,
                                                          bool OverWrite) {
  ParameterList List;
 
  inList.setName("DD-ML-LU default values");
  List.set("default values", "DD-ML-LU");
  List.set("max levels", 3);
  List.set("prec type", "MGV");
  List.set("increasing or decreasing", "increasing");
 
  List.set("aggregation: type", "METIS");
  List.set("aggregation: nodes per aggregate", 512);
  List.set("aggregation: next-level aggregates per process", 128);
  List.set("aggregation: damping factor", 1.333);
 
  List.set("smoother: sweeps", 1);
  List.set("smoother: pre or post", "both");
  /*#ifdef HAVE_ML_AZTECOO
  List.set("smoother: type","Aztec");
  (*options)[AZ_precond] = AZ_dom_decomp;
  (*options)[AZ_subdomain_solve] = AZ_lu;
  List.set("smoother: Aztec options",options);
  List.set("smoother: Aztec params",params);
  List.set("smoother: Aztec as solver",false);
  #endif*/
  List.set("coarse: type", "Amesos-KLU");
  List.set("coarse: max size", 128);
  List.set("coarse: pre or post", "post");
  List.set("coarse: sweeps", 1);
 
  ML_OverwriteDefaults(inList, List, OverWrite);
  return 0;
}  // ML2MueLuParameterTranslator::SetDefaultsDD_3Levels_LU()
 
int ML2MueLuParameterTranslator::SetDefaultsClassicalAMG(ParameterList& inList,
                                                         Teuchos::RCP<std::vector<int> >& /* options */,
                                                         Teuchos::RCP<std::vector<double> >& /* params */,
                                                         bool OverWrite) {
  ParameterList List;
 
  inList.setName("Classical-AMG default values");
  List.set("default values", "Classical-AMG");
  List.set("max levels", 10);
  List.set("prec type", "MGV");
  List.set("increasing or decreasing", "increasing");
  List.set("smoother: sweeps", 2);
  List.set("smoother: damping factor", 1.0);
  List.set("smoother: pre or post", "both");
  List.set("smoother: type", "symmetric Gauss-Seidel");
 
  List.set("coarse: type", "Amesos-KLU");
  List.set("coarse: max size", 128);
  List.set("coarse: pre or post", "post");
  List.set("coarse: sweeps", 1);
 
  // Make sure we know this follows the ML defaults
  List.set("parameterlist: syntax", "ml");
 
  ML_OverwriteDefaults(inList, List, OverWrite);
  return 0;
}  // ML2MueLuParameterTranslator::SetDefaultsClassicalAMG()
 
int ML2MueLuParameterTranslator::SetDefaultsRefMaxwell(Teuchos::ParameterList& inList, bool OverWrite) {
  /* Sublists */
  Teuchos::ParameterList ListRF, List11, List11c, List22, dummy;
  Teuchos::ParameterList& List11_  = inList.sublist("refmaxwell: 11list");
  Teuchos::ParameterList& List22_  = inList.sublist("refmaxwell: 22list");
  Teuchos::ParameterList& List11c_ = List11_.sublist("edge matrix free: coarse");
 
  /* Build Teuchos List: (1,1) coarse */
  SetDefaults("SA", List11c);
  List11c.remove("parameterlist: syntax");
  List11c.set("cycle applications", 1);
  List11c.set("smoother: type", "Chebyshev");
  List11c.set("aggregation: threshold", .01);
  List11c.set("coarse: type", "Amesos-KLU");
  List11c.set("ML label", "coarse (1,1) block");
  UpdateList(List11c, List11c_, OverWrite);
 
  /* Build Teuchos List: (1,1) */
  SetDefaults("SA", List11);
  List11.remove("parameterlist: syntax");
  List11.set("cycle applications", 1);
  List11.set("aggregation: type", "Uncoupled");
  List11.set("smoother: sweeps", 0);
  List11.set("aggregation: damping factor", 0.0);
  List11.set("edge matrix free: coarse", List11c);
  List11.set("aggregation: threshold", .01);
  UpdateList(List11, List11_, OverWrite);
 
  /* Build Teuchos List: (2,2) */
  SetDefaults("SA", List22);
  List22.remove("parameterlist: syntax");
  List22.set("cycle applications", 1);
  List22.set("smoother: type", "Chebyshev");
  List22.set("aggregation: type", "Uncoupled");
  List22.set("aggregation: threshold", .01);
  List22.set("coarse: type", "Amesos-KLU");
  List22.set("ML label", "(2,2) block");
 
  // This line is commented out due to IFPACK issues
  //  List22.set("smoother: sweeps (level 0)",0);
  UpdateList(List22, List22_, OverWrite);
 
  /* Build Teuchos List: Overall */
  SetDefaults("maxwell", ListRF, 0, 0, false);
  ListRF.set("smoother: type", "Chebyshev");
  ListRF.set("smoother: sweeps", 2);
  ListRF.set("refmaxwell: 11solver", "edge matrix free");  // either "edge matrix free" or "sa"
  ListRF.set("refmaxwell: 11list", List11);
  ListRF.set("refmaxwell: 22solver", "multilevel");
  ListRF.set("refmaxwell: 22list", List22);
  ListRF.set("refmaxwell: mode", "additive");
  ListRF.set("default values", "RefMaxwell");
  ListRF.set("zero starting solution", false);
 
  // Make sure we know this follows the ML defaults
  ListRF.set("parameterlist: syntax", "ml");
 
  UpdateList(ListRF, inList, OverWrite);
 
  return 0;
} /*end SetDefaultsRefMaxwell*/
 
}  // namespace MueLu