GCC Code Coverage Report


Directory: ../../../builds/dumux-repositories/
File: /builds/dumux-repositories/dumux/examples/embedded_network_1d3d/solver.hh
Date: 2024-09-21 20:52:54
Exec Total Coverage
Lines: 24 26 92.3%
Functions: 7 10 70.0%
Branches: 17 38 44.7%

Line Branch Exec Source
1 // -*- mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
2 // vi: set et ts=4 sw=4 sts=4:
3 //
4 // SPDX-FileCopyrightInfo: Copyright © DuMux Project contributors, see AUTHORS.md in root folder
5 // SPDX-License-Identifier: GPL-3.0-or-later
6 //
7 /*!
8 * \file
9 * \ingroup Linear
10 * \brief Simple ilu0 block diagonal preconditioner that can store decomposition
11 */
12 #ifndef DUMUX_EXAMPLE_1D3D_MULTIDOMAIN_LINEAR_SOLVER_HH
13 #define DUMUX_EXAMPLE_1D3D_MULTIDOMAIN_LINEAR_SOLVER_HH
14
15 #include <type_traits>
16 #include <tuple>
17 #include <utility>
18
19 #include <dune/istl/preconditioners.hh>
20 #include <dune/istl/solvers.hh>
21 #include <dune/common/indices.hh>
22 #include <dune/common/hybridutilities.hh>
23
24 #include <dumux/common/parameters.hh>
25 #include <dumux/common/typetraits/matrix.hh>
26 #include <dumux/common/typetraits/utility.hh>
27 #include <dumux/linear/solver.hh>
28 #include <dumux/linear/preconditioners.hh>
29 #include <dumux/linear/linearsolverparameters.hh>
30 #include <dumux/linear/parallelmatrixadapter.hh>
31
32 namespace Dumux::Example {
33
34 /*!
35 * \ingroup Linear
36 * \brief A simple ilu0 block diagonal preconditioner
37 */
38 template<class M, class X, class Y, int blockLevel = 2>
39 class BlockDiagILU0Preconditioner : public Dune::Preconditioner<X, Y>
40 {
41 template<std::size_t i>
42 using DiagBlockType = std::decay_t<decltype(std::declval<M>()[Dune::index_constant<i>{}][Dune::index_constant<i>{}])>;
43
44 template<std::size_t i>
45 using VecBlockType = std::decay_t<decltype(std::declval<X>()[Dune::index_constant<i>{}])>;
46
47 template<std::size_t i>
48 using BlockILU = Dune::SeqILU<DiagBlockType<i>, VecBlockType<i>, VecBlockType<i>, blockLevel-1>;
49
50 using ILUTuple = typename makeFromIndexedType<std::tuple, BlockILU, std::make_index_sequence<M::N()> >::type;
51
52 public:
53 //! \brief The matrix type the preconditioner is for.
54 using matrix_type = typename std::decay_t<M>;
55 //! \brief The domain type of the preconditioner.
56 using domain_type = X;
57 //! \brief The range type of the preconditioner.
58 using range_type = Y;
59 //! \brief The field type of the preconditioner.
60 using field_type = typename X::field_type;
61
62 /*! \brief Constructor.
63 Constructor gets all parameters to operate the prec.
64 \param m The (multi type block) matrix to operate on
65 \param w The relaxation factor
66 */
67 1 BlockDiagILU0Preconditioner(const M& m, double w = 1.0)
68
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1 : BlockDiagILU0Preconditioner(m, w, std::make_index_sequence<M::N()>{})
69 {
70 static_assert(blockLevel >= 2, "Only makes sense for MultiTypeBlockMatrix!");
71 }
72
73 100 void pre (X& v, Y& d) final {}
74
75 4817 void apply (X& v, const Y& d) final
76 {
77 using namespace Dune::Hybrid;
78 4817 forEach(integralRange(Dune::Hybrid::size(ilu_)), [&](const auto i)
79 {
80 std::get<decltype(i)::value>(ilu_).apply(v[i], d[i]);
81 });
82 4817 }
83
84 100 void post (X&) final {}
85
86 //! Category of the preconditioner (see SolverCategory::Category)
87 1 Dune::SolverCategory::Category category() const final
88 {
89 1 return Dune::SolverCategory::sequential;
90 }
91
92 private:
93 template<std::size_t... Is>
94 1 BlockDiagILU0Preconditioner (const M& m, double w, std::index_sequence<Is...> is)
95
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4 : ilu_(std::make_tuple(BlockILU<Is>(m[Dune::index_constant<Is>{}][Dune::index_constant<Is>{}], w)...))
96 1 {}
97
98 ILUTuple ilu_;
99 };
100
101 /*!
102 * \ingroup Linear
103 * \brief A simple ilu0 block diagonal preconditioned BiCGSTABSolver
104 * \note expects a system as a multi-type block-matrix
105 * | A B |
106 * | C D |
107 */
108 template<class MatrixType, class VectorType>
109 class BlockDiagILU0BiCGSTABSolver : public LinearSolver
110 {
111 public:
112 using LinearSolver::LinearSolver;
113
114 // Solve saddle-point problem using a Schur complement based preconditioner
115 template<class Matrix, class Vector>
116 bool solve(const Matrix& m, Vector& x, const Vector& b)
117 {
118 setup(m);
119 return solve(x, b);
120 }
121
122 1 void setup(const MatrixType& m)
123 {
124
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1 preconditioner_ = std::make_unique<BlockDiagILU0Preconditioner<MatrixType, VectorType, VectorType>>(m);
125
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1 linearOperator_ = std::make_shared<Dumux::ParallelMultiTypeMatrixAdapter<MatrixType, VectorType, VectorType>>(m);
126
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6 solver_ = std::make_unique<Dune::BiCGSTABSolver<VectorType>>(*linearOperator_, *preconditioner_, this->residReduction(), this->maxIter(), this->verbosity());
127
128 1 isSetup_ = true;
129 1 }
130
131 100 bool solve(VectorType& x, const VectorType& b)
132 {
133
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100 assert(isSetup_);
134
135 100 auto bTmp(b);
136
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200 solver_->apply(x, bTmp, result_);
137
138 100 return result_.converged;
139 }
140
141 const Dune::InverseOperatorResult& result() const
142 {
143 return result_;
144 }
145
146 std::string name() const
147
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200 { return "block-diagonal ILU0-preconditioned BiCGSTAB solver"; }
148
149 private:
150 bool isSetup_ = false;
151
152 std::shared_ptr<Dune::MatrixAdapter<MatrixType, VectorType, VectorType>> linearOperator_;
153 std::unique_ptr<Dune::Preconditioner<VectorType, VectorType>> preconditioner_;
154 std::unique_ptr<Dune::InverseOperator<VectorType, VectorType>> solver_;
155
156 Dune::InverseOperatorResult result_;
157 };
158
159 } // end namespace Dumux::Example
160
161 #endif
162