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https://github.com/OPM/opm-simulators.git
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481 lines
18 KiB
C++
481 lines
18 KiB
C++
// -*- mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
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// vi: set et ts=4 sw=4 sts=4:
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/*
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This file is part of the Open Porous Media project (OPM).
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OPM is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 2 of the License, or
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(at your option) any later version.
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OPM is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with OPM. If not, see <http://www.gnu.org/licenses/>.
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Consult the COPYING file in the top-level source directory of this
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module for the precise wording of the license and the list of
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copyright holders.
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*/
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/*!
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* \file
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* \copydoc Opm::Linear::ParallelBaseBackend
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*/
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#ifndef EWOMS_PARALLEL_BASE_BACKEND_HH
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#define EWOMS_PARALLEL_BASE_BACKEND_HH
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#include <opm/simulators/linalg/istlsparsematrixadapter.hh>
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#include <opm/simulators/linalg/overlappingbcrsmatrix.hh>
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#include <opm/simulators/linalg/overlappingblockvector.hh>
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#include <opm/simulators/linalg/overlappingpreconditioner.hh>
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#include <opm/simulators/linalg/overlappingscalarproduct.hh>
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#include <opm/simulators/linalg/overlappingoperator.hh>
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#include <opm/simulators/linalg/parallelbasebackend.hh>
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#include <opm/simulators/linalg/istlpreconditionerwrappers.hh>
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#include <opm/models/utils/genericguard.hh>
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#include <opm/models/utils/propertysystem.hh>
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#include <opm/models/utils/parametersystem.hh>
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#include <opm/simulators/linalg/matrixblock.hh>
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#include <opm/simulators/linalg/linalgproperties.hh>
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#include <dune/grid/io/file/vtk/vtkwriter.hh>
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#include <dune/common/fvector.hh>
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#include <dune/common/version.hh>
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#include <sstream>
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#include <memory>
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#include <iostream>
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namespace Opm::Properties {
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namespace TTag {
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struct ParallelBaseLinearSolver {};
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}
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//! Set the type of a global jacobian matrix for linear solvers that are based on
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//! dune-istl.
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template<class TypeTag>
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struct SparseMatrixAdapter<TypeTag, TTag::ParallelBaseLinearSolver>
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{
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private:
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using Scalar = GetPropType<TypeTag, Properties::Scalar>;
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enum { numEq = getPropValue<TypeTag, Properties::NumEq>() };
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using Block = Opm::MatrixBlock<Scalar, numEq, numEq>;
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public:
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using type = typename Opm::Linear::IstlSparseMatrixAdapter<Block>;
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};
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} // namespace Opm::Properties
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namespace Opm {
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namespace Linear {
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/*!
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* \ingroup Linear
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*
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* \brief Provides the common code which is required by most linear solvers.
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*
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* This class provides access to all preconditioners offered by dune-istl using the
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* PreconditionerWrapper property:
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* \code
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* template<class TypeTag>
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* struct PreconditionerWrapper<TypeTag, TTag::YourTypeTag>
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* { using type = Opm::Linear::PreconditionerWrapper$PRECONDITIONER<TypeTag>; };
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* \endcode
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*
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* Where the choices possible for '\c $PRECONDITIONER' are:
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* - \c Jacobi: A Jacobi preconditioner
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* - \c GaussSeidel: A Gauss-Seidel preconditioner
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* - \c SSOR: A symmetric successive overrelaxation (SSOR) preconditioner
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* - \c SOR: A successive overrelaxation (SOR) preconditioner
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* - \c ILUn: An ILU(n) preconditioner
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* - \c ILU0: An ILU(0) preconditioner. The results of this
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* preconditioner are the same as setting the
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* PreconditionerOrder property to 0 and using the ILU(n)
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* preconditioner. The reason for the existence of ILU0 is
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* that it is computationally cheaper because it does not
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* need to consider things which are only required for
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* higher orders
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*/
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template <class TypeTag>
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class ParallelBaseBackend
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{
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protected:
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using Implementation = GetPropType<TypeTag, Properties::LinearSolverBackend>;
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using Simulator = GetPropType<TypeTag, Properties::Simulator>;
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using Scalar = GetPropType<TypeTag, Properties::Scalar>;
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using LinearSolverScalar = GetPropType<TypeTag, Properties::LinearSolverScalar>;
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using SparseMatrixAdapter = GetPropType<TypeTag, Properties::SparseMatrixAdapter>;
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using Vector = GetPropType<TypeTag, Properties::GlobalEqVector>;
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using BorderListCreator = GetPropType<TypeTag, Properties::BorderListCreator>;
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using GridView = GetPropType<TypeTag, Properties::GridView>;
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using Overlap = GetPropType<TypeTag, Properties::Overlap>;
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using OverlappingVector = GetPropType<TypeTag, Properties::OverlappingVector>;
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using OverlappingMatrix = GetPropType<TypeTag, Properties::OverlappingMatrix>;
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using PreconditionerWrapper = GetPropType<TypeTag, Properties::PreconditionerWrapper>;
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using SequentialPreconditioner = typename PreconditionerWrapper::SequentialPreconditioner;
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using ParallelPreconditioner = Opm::Linear::OverlappingPreconditioner<SequentialPreconditioner, Overlap>;
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using ParallelScalarProduct = Opm::Linear::OverlappingScalarProduct<OverlappingVector, Overlap>;
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using ParallelOperator = Opm::Linear::OverlappingOperator<OverlappingMatrix,
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OverlappingVector,
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OverlappingVector>;
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enum { dimWorld = GridView::dimensionworld };
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public:
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ParallelBaseBackend(const Simulator& simulator)
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: simulator_(simulator)
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, gridSequenceNumber_( -1 )
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, lastIterations_( -1 )
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{
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overlappingMatrix_ = nullptr;
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overlappingb_ = nullptr;
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overlappingx_ = nullptr;
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}
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~ParallelBaseBackend()
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{ cleanup_(); }
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/*!
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* \brief Register all run-time parameters for the linear solver.
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*/
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static void registerParameters()
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{
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EWOMS_REGISTER_PARAM(TypeTag, Scalar, LinearSolverTolerance,
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"The maximum allowed error between of the linear solver");
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EWOMS_REGISTER_PARAM(TypeTag, Scalar, LinearSolverAbsTolerance,
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"The maximum accepted error of the norm of the residual");
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EWOMS_REGISTER_PARAM(TypeTag, unsigned, LinearSolverOverlapSize,
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"The size of the algebraic overlap for the linear solver");
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EWOMS_REGISTER_PARAM(TypeTag, int, LinearSolverMaxIterations,
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"The maximum number of iterations of the linear solver");
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EWOMS_REGISTER_PARAM(TypeTag, int, LinearSolverVerbosity,
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"The verbosity level of the linear solver");
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PreconditionerWrapper::registerParameters();
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}
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/*!
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* \brief Causes the solve() method to discared the structure of the linear system of
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* equations the next time it is called.
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*/
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void eraseMatrix()
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{ cleanup_(); }
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/*!
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* \brief Set up the internal data structures required for the linear solver.
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*
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* This only specified the topology of the linear system of equations; it does does
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* *not* assign the values of the residual vector and its Jacobian matrix.
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*/
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void prepare(const SparseMatrixAdapter& M, const Vector& )
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{
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// if grid has changed the sequence number has changed too
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int curSeqNum = simulator_.vanguard().gridSequenceNumber();
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if (gridSequenceNumber_ == curSeqNum && overlappingMatrix_)
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// the grid has not changed since the overlappingMatrix_has been created, so
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// there's noting to do
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return;
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asImp_().cleanup_();
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gridSequenceNumber_ = curSeqNum;
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BorderListCreator borderListCreator(simulator_.gridView(),
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simulator_.model().dofMapper());
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// create the overlapping Jacobian matrix
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unsigned overlapSize = EWOMS_GET_PARAM(TypeTag, unsigned, LinearSolverOverlapSize);
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overlappingMatrix_ = new OverlappingMatrix(M.istlMatrix(),
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borderListCreator.borderList(),
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borderListCreator.blackList(),
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overlapSize);
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// create the overlapping vectors for the residual and the
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// solution
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overlappingb_ = new OverlappingVector(overlappingMatrix_->overlap());
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overlappingx_ = new OverlappingVector(*overlappingb_);
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// writeOverlapToVTK_();
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}
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/*!
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* \brief Assign values to the internal data structure for the residual vector.
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*
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* This method also cares about synchronizing that vector with the peer processes.
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*/
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void setResidual(const Vector& b)
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{
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// copy the interior values of the non-overlapping residual vector to the
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// overlapping one
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overlappingb_->assignAddBorder(b);
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}
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/*!
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* \brief Retrieve the synchronized internal residual vector.
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*
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* This only deals with entries which are local to the current process.
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*/
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void getResidual(Vector& b) const
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{
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// update the non-overlapping vector with the overlapping one
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overlappingb_->assignTo(b);
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}
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/*!
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* \brief Sets the values of the residual's Jacobian matrix.
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*
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* This method also synchronizes the data structure across the processes which are
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* involved in the simulation run.
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*/
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void setMatrix(const SparseMatrixAdapter& M)
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{
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overlappingMatrix_->assignFromNative(M.istlMatrix());
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overlappingMatrix_->syncAdd();
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}
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/*!
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* \brief Actually solve the linear system of equations.
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*
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* \return true if the residual reduction could be achieved, else false.
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*/
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bool solve(Vector& x)
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{
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#if ! DUNE_VERSION_NEWER(DUNE_COMMON, 2,7)
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Dune::FMatrixPrecision<LinearSolverScalar>::set_singular_limit(1.e-30);
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Dune::FMatrixPrecision<LinearSolverScalar>::set_absolute_limit(1.e-30);
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#endif
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(*overlappingx_) = 0.0;
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auto parPreCond = asImp_().preparePreconditioner_();
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auto precondCleanupFn = [this]() -> void
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{ this->asImp_().cleanupPreconditioner_(); };
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auto precondCleanupGuard = Opm::make_guard(precondCleanupFn);
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// create the parallel scalar product and the parallel operator
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ParallelScalarProduct parScalarProduct(overlappingMatrix_->overlap());
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ParallelOperator parOperator(*overlappingMatrix_);
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// retrieve the linear solver
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auto solver = asImp_().prepareSolver_(parOperator,
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parScalarProduct,
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*parPreCond);
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auto cleanupSolverFn =
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[this]() -> void
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{ this->asImp_().cleanupSolver_(); };
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GenericGuard<decltype(cleanupSolverFn)> solverGuard(cleanupSolverFn);
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// run the linear solver and have some fun
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auto result = asImp_().runSolver_(solver);
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// store number of iterations used
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lastIterations_ = result.second;
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// copy the result back to the non-overlapping vector
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overlappingx_->assignTo(x);
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// return the result of the solver
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return result.first;
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}
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/*!
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* \brief Return number of iterations used during last solve.
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*/
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size_t iterations () const
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{ return lastIterations_; }
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protected:
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Implementation& asImp_()
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{ return *static_cast<Implementation *>(this); }
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const Implementation& asImp_() const
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{ return *static_cast<const Implementation *>(this); }
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void cleanup_()
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{
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// create the overlapping Jacobian matrix and vectors
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delete overlappingMatrix_;
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delete overlappingb_;
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delete overlappingx_;
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overlappingMatrix_ = 0;
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overlappingb_ = 0;
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overlappingx_ = 0;
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}
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std::shared_ptr<ParallelPreconditioner> preparePreconditioner_()
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{
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int preconditionerIsReady = 1;
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try {
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// update sequential preconditioner
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precWrapper_.prepare(*overlappingMatrix_);
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}
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catch (const Dune::Exception& e) {
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std::cout << "Preconditioner threw exception \"" << e.what()
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<< " on rank " << overlappingMatrix_->overlap().myRank()
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<< "\n" << std::flush;
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preconditionerIsReady = 0;
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}
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// make sure that the preconditioner is also ready on all peer
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// ranks.
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preconditionerIsReady = simulator_.gridView().comm().min(preconditionerIsReady);
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if (!preconditionerIsReady)
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throw Opm::NumericalIssue("Creating the preconditioner failed");
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// create the parallel preconditioner
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return std::make_shared<ParallelPreconditioner>(precWrapper_.get(), overlappingMatrix_->overlap());
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}
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void cleanupPreconditioner_()
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{
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precWrapper_.cleanup();
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}
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void writeOverlapToVTK_()
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{
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for (int lookedAtRank = 0;
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lookedAtRank < simulator_.gridView().comm().size(); ++lookedAtRank) {
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std::cout << "writing overlap for rank " << lookedAtRank << "\n" << std::flush;
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using VtkField = Dune::BlockVector<Dune::FieldVector<Scalar, 1> >;
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int n = simulator_.gridView().size(/*codim=*/dimWorld);
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VtkField isInOverlap(n);
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VtkField rankField(n);
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isInOverlap = 0.0;
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rankField = 0.0;
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assert(rankField.two_norm() == 0.0);
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assert(isInOverlap.two_norm() == 0.0);
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auto vIt = simulator_.gridView().template begin</*codim=*/dimWorld>();
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const auto& vEndIt = simulator_.gridView().template end</*codim=*/dimWorld>();
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const auto& overlap = overlappingMatrix_->overlap();
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for (; vIt != vEndIt; ++vIt) {
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int nativeIdx = simulator_.model().vertexMapper().map(*vIt);
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int localIdx = overlap.foreignOverlap().nativeToLocal(nativeIdx);
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if (localIdx < 0)
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continue;
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rankField[nativeIdx] = simulator_.gridView().comm().rank();
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if (overlap.peerHasIndex(lookedAtRank, localIdx))
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isInOverlap[nativeIdx] = 1.0;
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}
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using VtkWriter = Dune::VTKWriter<GridView>;
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VtkWriter writer(simulator_.gridView(), Dune::VTK::conforming);
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writer.addVertexData(isInOverlap, "overlap");
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writer.addVertexData(rankField, "rank");
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std::ostringstream oss;
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oss << "overlap_rank=" << lookedAtRank;
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writer.write(oss.str().c_str(), Dune::VTK::ascii);
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}
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}
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const Simulator& simulator_;
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int gridSequenceNumber_;
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size_t lastIterations_;
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OverlappingMatrix *overlappingMatrix_;
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OverlappingVector *overlappingb_;
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OverlappingVector *overlappingx_;
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PreconditionerWrapper precWrapper_;
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};
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}} // namespace Linear, Opm
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namespace Opm::Properties {
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//! make the linear solver shut up by default
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template<class TypeTag>
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struct LinearSolverVerbosity<TypeTag, TTag::ParallelBaseLinearSolver> { static constexpr int value = 0; };
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//! set the preconditioner relaxation parameter to 1.0 by default
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template<class TypeTag>
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struct PreconditionerRelaxation<TypeTag, TTag::ParallelBaseLinearSolver>
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{
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using type = GetPropType<TypeTag, Scalar>;
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static constexpr type value = 1.0;
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};
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//! set the preconditioner order to 0 by default
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template<class TypeTag>
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struct PreconditionerOrder<TypeTag, TTag::ParallelBaseLinearSolver> { static constexpr int value = 0; };
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//! by default use the same kind of floating point values for the linearization and for
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//! the linear solve
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template<class TypeTag>
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struct LinearSolverScalar<TypeTag, TTag::ParallelBaseLinearSolver>
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{ using type = GetPropType<TypeTag, Properties::Scalar>; };
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template<class TypeTag>
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struct OverlappingMatrix<TypeTag, TTag::ParallelBaseLinearSolver>
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{
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private:
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static constexpr int numEq = getPropValue<TypeTag, Properties::NumEq>();
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using LinearSolverScalar = GetPropType<TypeTag, Properties::LinearSolverScalar>;
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using MatrixBlock = Opm::MatrixBlock<LinearSolverScalar, numEq, numEq>;
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using NonOverlappingMatrix = Dune::BCRSMatrix<MatrixBlock>;
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public:
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using type = Opm::Linear::OverlappingBCRSMatrix<NonOverlappingMatrix>;
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};
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template<class TypeTag>
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struct Overlap<TypeTag, TTag::ParallelBaseLinearSolver>
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{ using type = typename GetPropType<TypeTag, Properties::OverlappingMatrix>::Overlap; };
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template<class TypeTag>
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struct OverlappingVector<TypeTag, TTag::ParallelBaseLinearSolver>
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{
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static constexpr int numEq = getPropValue<TypeTag, Properties::NumEq>();
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using LinearSolverScalar = GetPropType<TypeTag, Properties::LinearSolverScalar>;
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using VectorBlock = Dune::FieldVector<LinearSolverScalar, numEq>;
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using Overlap = GetPropType<TypeTag, Properties::Overlap>;
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using type = Opm::Linear::OverlappingBlockVector<VectorBlock, Overlap>;
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};
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template<class TypeTag>
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struct OverlappingScalarProduct<TypeTag, TTag::ParallelBaseLinearSolver>
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{
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using OverlappingVector = GetPropType<TypeTag, Properties::OverlappingVector>;
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using Overlap = GetPropType<TypeTag, Properties::Overlap>;
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using type = Opm::Linear::OverlappingScalarProduct<OverlappingVector, Overlap>;
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};
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template<class TypeTag>
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struct OverlappingLinearOperator<TypeTag, TTag::ParallelBaseLinearSolver>
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{
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using OverlappingMatrix = GetPropType<TypeTag, Properties::OverlappingMatrix>;
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using OverlappingVector = GetPropType<TypeTag, Properties::OverlappingVector>;
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using type = Opm::Linear::OverlappingOperator<OverlappingMatrix, OverlappingVector,
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OverlappingVector>;
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};
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#if DUNE_VERSION_NEWER(DUNE_ISTL, 2,7)
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template<class TypeTag>
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struct PreconditionerWrapper<TypeTag, TTag::ParallelBaseLinearSolver>
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{ using type = Opm::Linear::PreconditionerWrapperILU<TypeTag>; };
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#else
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template<class TypeTag>
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struct PreconditionerWrapper<TypeTag, TTag::ParallelBaseLinearSolver>
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{ using type = Opm::Linear::PreconditionerWrapperILU0<TypeTag>; };
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#endif
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//! set the default overlap size to 2
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template<class TypeTag>
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struct LinearSolverOverlapSize<TypeTag, TTag::ParallelBaseLinearSolver> { static constexpr int value = 2; };
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//! set the default number of maximum iterations for the linear solver
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template<class TypeTag>
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struct LinearSolverMaxIterations<TypeTag, TTag::ParallelBaseLinearSolver> { static constexpr int value = 1000; };
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} // namespace Opm::Properties
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#endif
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