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Remove code that is no longer needed.
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@ -38,370 +38,7 @@
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namespace Opm
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{
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/*
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template<class Operator, class Criterion, class Communication, std::size_t COMPONENT_INDEX, std::size_t VARIABLE_INDEX>
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class OneComponentAggregationLevelTransferPolicyCpr
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: public Dune::Amg::LevelTransferPolicyCpr<Operator, typename Detail::ScalarType<Operator>::value>
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{
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typedef Dune::Amg::AggregatesMap<typename Operator::matrix_type::size_type> AggregatesMap;
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public:
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using CoarseOperator = typename Detail::ScalarType<Operator>::value;
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typedef Dune::Amg::LevelTransferPolicy<Operator,CoarseOperator> FatherType;
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typedef Communication ParallelInformation;
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public:
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OneComponentAggregationLevelTransferPolicyCpr(const Criterion& crit, const Communication& comm)
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: criterion_(crit), communication_(&const_cast<Communication&>(comm))
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{}
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void createCoarseLevelSystem(const Operator& fineOperator)
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{
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prolongDamp_ = 1;
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using CoarseMatrix = typename CoarseOperator::matrix_type;
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const auto& fineLevelMatrix = fineOperator.getmat();
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coarseLevelMatrix_.reset(new CoarseMatrix(fineLevelMatrix.N(), fineLevelMatrix.M(), CoarseMatrix::row_wise));
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auto createIter = coarseLevelMatrix_->createbegin();
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for ( const auto& row: fineLevelMatrix )
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{
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for ( auto col = row.begin(), cend = row.end(); col != cend; ++col)
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{
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createIter.insert(col.index());
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}
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++createIter;
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}
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auto coarseRow = coarseLevelMatrix_->begin();
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for ( const auto& row: fineLevelMatrix )
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{
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auto coarseCol = coarseRow->begin();
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for ( auto col = row.begin(), cend = row.end(); col != cend; ++col, ++coarseCol )
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{
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assert( col.index() == coarseCol.index() );
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*coarseCol = (*col)[COMPONENT_INDEX][VARIABLE_INDEX];
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}
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++coarseRow;
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}
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coarseLevelCommunication_.reset(communication_, [](Communication*){});
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this->lhs_.resize(this->coarseLevelMatrix_->M());
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this->rhs_.resize(this->coarseLevelMatrix_->N());
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using OperatorArgs = typename Dune::Amg::ConstructionTraits<CoarseOperator>::Arguments;
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OperatorArgs oargs(*coarseLevelMatrix_, *coarseLevelCommunication_);
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this->operator_.reset(Dune::Amg::ConstructionTraits<CoarseOperator>::construct(oargs));
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}
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// compleately unsafe!!!!!!
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void calculateCoarseEntries(const Operator& fineOperator)//const M& fineMatrix)
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{
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const auto& fineMatrix = fineOperator.getmat();
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*coarseLevelMatrix_ = 0;
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for(auto row = fineMatrix.begin(), rowEnd = fineMatrix.end();
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row != rowEnd; ++row)
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{
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const auto& i = row.index();
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for(auto entry = row->begin(), entryEnd = row->end();
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entry != entryEnd; ++entry)
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{
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const auto& j = entry.index();
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(*coarseLevelMatrix_)[i][j] += (*entry)[COMPONENT_INDEX][VARIABLE_INDEX];
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}
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}
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}
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//template<class M>
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// void calculateCoarseEntriesOld(const Operator& fineOperator)//const M& fineMatrix)
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// {
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// const auto& fineMatrix = fineOperator.getmat();
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// *coarseLevelMatrix_ = 0;
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// for(auto row = fineMatrix.begin(), rowEnd = fineMatrix.end();
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// row != rowEnd; ++row)
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// {
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// const auto& i = (*aggregatesMap_)[row.index()];
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// if(i != AggregatesMap::ISOLATED)
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// {
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// for(auto entry = row->begin(), entryEnd = row->end();
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// entry != entryEnd; ++entry)
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// {
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// const auto& j = (*aggregatesMap_)[entry.index()];
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// if ( j != AggregatesMap::ISOLATED )
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// {
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// (*coarseLevelMatrix_)[i][j] += (*entry)[COMPONENT_INDEX][COMPONENT_INDEX];
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// }
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// }
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// }
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// }
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// }
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void moveToCoarseLevel(const typename FatherType::FineRangeType& fine)
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{
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// Set coarse vector to zero
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this->rhs_=0;
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auto end = fine.end(), begin=fine.begin();
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for(auto block=begin; block != end; ++block)
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{
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this->rhs_[block-begin] = (*block)[COMPONENT_INDEX];
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}
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this->lhs_=0;
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}
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void moveToFineLevel(typename FatherType::FineDomainType& fine)
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{
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auto end=fine.end(), begin=fine.begin();
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for(auto block=begin; block != end; ++block)
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{
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(*block)[COMPONENT_INDEX] = this->lhs_[block-begin];
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}
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}
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OneComponentAggregationLevelTransferPolicyCpr* clone() const
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{
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return new OneComponentAggregationLevelTransferPolicyCpr(*this);
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}
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const Communication& getCoarseLevelCommunication() const
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{
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return *coarseLevelCommunication_;
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}
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private:
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typename Operator::matrix_type::field_type prolongDamp_;
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//std::shared_ptr<AggregatesMap> aggregatesMap_;
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Criterion criterion_;
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Communication* communication_;
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std::shared_ptr<Communication> coarseLevelCommunication_;
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std::shared_ptr<typename CoarseOperator::matrix_type> coarseLevelMatrix_;
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};
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*/
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#if 0
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namespace Detail
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{
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/**
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* @brief A policy class for solving the coarse level system using one step of AMG.
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* @tparam O The type of the linear operator used.
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* @tparam S The type of the smoother used in AMG.
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* @tparam C The type of the crition used for the aggregation within AMG.
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* @tparam C1 The type of the information about the communication. Either
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* Dune::OwnerOverlapCopyCommunication or Dune::SequentialInformation.
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*/
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template<class O, class S, class C, class P>
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class OneStepAMGCoarseSolverPolicyNoSolve
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{
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public:
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typedef P LevelTransferPolicy;
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/** @brief The type of the linear operator used. */
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typedef O Operator;
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/** @brief The type of the range and domain of the operator. */
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typedef typename O::range_type X;
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/** @brief The type of the crition used for the aggregation within AMG.*/
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typedef C Criterion;
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/** @brief The type of the communication used for AMG.*/
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typedef typename P::ParallelInformation Communication;
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/** @brief The type of the smoother used in AMG. */
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typedef S Smoother;
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/** @brief The type of the arguments used for constructing the smoother. */
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typedef typename Dune::Amg::SmootherTraits<S>::Arguments SmootherArgs;
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/** @brief The type of the AMG construct on the coarse level.*/
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typedef Dune::Amg::AMGCPR<Operator,X,Smoother,Communication> AMGType;
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/**
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* @brief Constructs the coarse solver policy.
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* @param args The arguments used for constructing the smoother.
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* @param c The crition used for the aggregation within AMG.
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*/
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OneStepAMGCoarseSolverPolicyNoSolve(const CPRParameter* param, const SmootherArgs& args, const Criterion& c)
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: param_(param), smootherArgs_(args), criterion_(c)
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{}
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/** @brief Copy constructor. */
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OneStepAMGCoarseSolverPolicyNoSolve(const OneStepAMGCoarseSolverPolicyNoSolve& other)
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: param_(other.param_), coarseOperator_(other.coarseOperator_), smootherArgs_(other.smootherArgs_),
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criterion_(other.criterion_)
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{}
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private:
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/**
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* @brief A wrapper that makes an inverse operator out of AMG.
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*
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* The operator will use one step of AMG to approximately solve
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* the coarse level system.
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*/
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struct AMGInverseOperator : public Dune::InverseOperator<X,X>
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{
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AMGInverseOperator(const CPRParameter* param,
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typename AMGType::Operator& op,
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const Criterion& crit,
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const typename AMGType::SmootherArgs& args,
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const Communication& comm)
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: param_(param), amg_(), op_(op), crit_(crit), args_(args), comm_(comm)
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{
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amg_.reset(new AMGType(op, crit,args, comm));
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}
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void updateAmgPreconditioner(typename AMGType::Operator& op){
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//op_ = op;
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//amg_->recalculateHierarchy();
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amg_->updateSolver(crit_, op, comm_);
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//amg_.reset(new AMGType(op, crit_,args_, comm_));
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//amg_->recalculateGalerkin();
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}
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#if DUNE_VERSION_NEWER(DUNE_ISTL, 2, 6)
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Dune::SolverCategory::Category category() const override
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{
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return std::is_same<Communication, Dune::Amg::SequentialInformation>::value ?
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Dune::SolverCategory::sequential : Dune::SolverCategory::overlapping;
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}
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#endif
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void apply(X& x, X& b, double reduction, Dune::InverseOperatorResult& res) override
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{
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DUNE_UNUSED_PARAMETER(reduction);
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DUNE_UNUSED_PARAMETER(res);
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#if DUNE_VERSION_NEWER(DUNE_ISTL, 2, 6)
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auto sp = Dune::createScalarProduct<X,Communication>(comm_, op_.category());
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#else
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using Chooser = Dune::ScalarProductChooser<X,Communication,AMGType::category>;
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auto sp = Chooser::construct(comm_);
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#endif
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Dune::Preconditioner<X,X>* prec = amg_.get();
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// Linear solver parameters
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const double tolerance = param_->cpr_solver_tol_;
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const int maxit = param_->cpr_max_ell_iter_;
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const int verbosity = ( param_->cpr_solver_verbose_ &&
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comm_.communicator().rank()==0 ) ? 1 : 0;
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if ( param_->cpr_ell_solvetype_ == 0 )
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{
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// Category of preconditioner will be checked at compile time. Therefore we need
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// to cast to the derived class
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#if DUNE_VERSION_NEWER(DUNE_ISTL, 2, 6)
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Dune::BiCGSTABSolver<X> solver(const_cast<typename AMGType::Operator&>(op_), *sp, *prec,
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tolerance, maxit, verbosity);
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#else
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Dune::BiCGSTABSolver<X> solver(const_cast<typename AMGType::Operator&>(op_), *sp,
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reinterpret_cast<AMGType&>(*prec),
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tolerance, maxit, verbosity);
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#endif
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solver.apply(x,b,res);
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}
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else if (param_->cpr_ell_solvetype_ == 1)
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{
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// Category of preconditioner will be checked at compile time. Therefore we need
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// to cast to the derived class
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#if DUNE_VERSION_NEWER(DUNE_ISTL, 2, 6)
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Dune::CGSolver<X> solver(const_cast<typename AMGType::Operator&>(op_), *sp, *prec,
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tolerance, maxit, verbosity);
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#else
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Dune::CGSolver<X> solver(const_cast<typename AMGType::Operator&>(op_), *sp,
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reinterpret_cast<AMGType&>(*prec),
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tolerance, maxit, verbosity);
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#endif
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solver.apply(x,b,res);
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}
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else
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{
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// X v(x);
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// prec->pre(x,b);
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// op_->applyscaleadd(-1,x,b);
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// v = 0;
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// prec->apply(v,b);
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// x += v;
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// op_->applyscaleadd(-1,x,b);
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// prec->post(x);
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#if DUNE_VERSION_NEWER(DUNE_ISTL, 2, 6)
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Dune::LoopSolver<X> solver(const_cast<typename AMGType::Operator&>(op_), *sp, *prec,
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tolerance, maxit, verbosity);
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#else
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Dune::LoopSolver<X> solver(const_cast<typename AMGType::Operator&>(op_), *sp,
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reinterpret_cast<AMGType&>(*prec),
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tolerance, maxit, verbosity);
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#endif
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solver.apply(x,b,res);
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}
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#if DUNE_VERSION_NEWER(DUNE_ISTL, 2, 6)
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#else
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delete sp;
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#endif
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}
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void apply(X& x, X& b, Dune::InverseOperatorResult& res) override
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{
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return apply(x,b,1e-8,res);
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}
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~AMGInverseOperator()
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{}
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AMGInverseOperator(const AMGInverseOperator& other)
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: x_(other.x_), amg_(other.amg_)
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{
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}
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private:
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const CPRParameter* param_;
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X x_;
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std::unique_ptr<AMGType> amg_;
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//std::unique_ptr<typename AMGType::Operator> op_;
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typename AMGType::Operator& op_;
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Criterion crit_;
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typename AMGType::SmootherArgs args_;
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const Communication& comm_;
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};
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public:
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/** @brief The type of solver constructed for the coarse level. */
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typedef AMGInverseOperator CoarseLevelSolver;
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/**
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* @brief Constructs a coarse level solver.
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*
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* @param transferPolicy The policy describing the transfer between levels.
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* @return A pointer to the constructed coarse level solver.
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*/
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template<class LTP>
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void setCoarseOperator(LTP& transferPolicy){
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coarseOperator_= transferPolicy.getCoarseLevelOperator();
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}
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template<class LTP>
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CoarseLevelSolver* createCoarseLevelSolver(LTP& transferPolicy)
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{
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coarseOperator_=transferPolicy.getCoarseLevelOperator();
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const LevelTransferPolicy& transfer =
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reinterpret_cast<const LevelTransferPolicy&>(transferPolicy);
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AMGInverseOperator* inv = new AMGInverseOperator(param_,
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*coarseOperator_,
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criterion_,
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smootherArgs_,
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transfer.getCoarseLevelCommunication());
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return inv; //std::shared_ptr<InverseOperator<X,X> >(inv);
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}
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//void recalculateGalerkin(){
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// coarseOperator_.recalculateHierarchy();
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//}
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private:
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/** @brief The coarse level operator. */
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std::shared_ptr<Operator> coarseOperator_;
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/** @brief The parameters for the CPR preconditioner. */
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const CPRParameter* param_;
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/** @brief The arguments used to construct the smoother. */
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SmootherArgs smootherArgs_;
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/** @brief The coarsening criterion. */
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Criterion criterion_;
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};
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} // end namespace Detail
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#endif // if 0
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/**
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* \brief An algebraic twolevel or multigrid approach for solving blackoil (supports CPR with and without AMG)
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*
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