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1 | // This file is part of Bembel, the higher order C++ boundary element library. | ||
2 | // | ||
3 | // Copyright (C) 2022 see <http://www.bembel.eu> | ||
4 | // | ||
5 | // It was written as part of a cooperation of J. Doelz, H. Harbrecht, S. Kurz, | ||
6 | // M. Multerer, S. Schoeps, and F. Wolf at Technische Universitaet Darmstadt, | ||
7 | // Universitaet Basel, and Universita della Svizzera italiana, Lugano. This | ||
8 | // source code is subject to the GNU General Public License version 3 and | ||
9 | // provided WITHOUT ANY WARRANTY, see <http://www.bembel.eu> for further | ||
10 | // information. | ||
11 | |||
12 | #ifndef BEMBEL_SRC_LINEAROPERATOR_DISCRETELOCALOPERATOR_HPP_ | ||
13 | #define BEMBEL_SRC_LINEAROPERATOR_DISCRETELOCALOPERATOR_HPP_ | ||
14 | |||
15 | namespace Bembel { | ||
16 | /** | ||
17 | * \ingroup LocalOperator | ||
18 | * \brief Helper struct which mimics the DiscreteOperatorComputer struct to | ||
19 | * assemble sparse matrices of local operators | ||
20 | */ | ||
21 | template <typename Derived> | ||
22 | struct DiscreteLocalOperatorComputer { | ||
23 | DiscreteLocalOperatorComputer() {} | ||
24 | 2 | static void compute( | |
25 | Eigen::SparseMatrix<typename LinearOperatorTraits<Derived>::Scalar> | ||
26 | *disc_op, | ||
27 | const Derived &lin_op, const AnsatzSpace<Derived> &ansatz_space) { | ||
28 | // Extract numbers | ||
29 | 2 | const auto &super_space = ansatz_space.get_superspace(); | |
30 | 2 | const auto &element_tree = super_space.get_mesh().get_element_tree(); | |
31 | 2 | const auto &number_of_elements = element_tree.get_number_of_elements(); | |
32 | 2 | const auto vector_dimension = | |
33 | getFunctionSpaceVectorDimension<LinearOperatorTraits<Derived>::Form>(); | ||
34 | 2 | const auto polynomial_degree = super_space.get_polynomial_degree(); | |
35 | 2 | const auto polynomial_degree_plus_one_squared = | |
36 | 2 | (polynomial_degree + 1) * (polynomial_degree + 1); | |
37 | |||
38 | // Quadrature | ||
39 |
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2 | GaussSquare<Constants::maximum_quadrature_degree> GS; |
40 | 2 | auto ffield_deg = lin_op.get_FarfieldQuadratureDegree(polynomial_degree); | |
41 |
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2 | auto Q = GS[ffield_deg]; |
42 | |||
43 | // Triplets | ||
44 | typedef Eigen::Triplet<typename LinearOperatorTraits<Derived>::Scalar> T; | ||
45 | 2 | std::vector<T> tripletList; | |
46 | 2 | tripletList.reserve(polynomial_degree_plus_one_squared * | |
47 |
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2 | polynomial_degree_plus_one_squared * |
48 | number_of_elements * vector_dimension); | ||
49 | |||
50 | // Iterate over elements | ||
51 |
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26 | for (auto element = element_tree.cpbegin(); element != element_tree.cpend(); |
52 | 12 | ++element) { | |
53 | Eigen::Matrix<typename LinearOperatorTraits<Derived>::Scalar, | ||
54 | Eigen::Dynamic, Eigen::Dynamic> | ||
55 | ✗ | intval(vector_dimension * polynomial_degree_plus_one_squared, | |
56 |
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12 | vector_dimension * polynomial_degree_plus_one_squared); |
57 |
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12 | intval.setZero(); |
58 | // Iterate over quadrature points | ||
59 |
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120 | for (auto i = 0; i < Q.w_.size(); ++i) { |
60 |
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108 | SurfacePoint qp; |
61 |
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108 | super_space.map2surface(*element, Q.xi_.col(i), Q.w_(i), &qp); |
62 |
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108 | lin_op.evaluateIntegrand(super_space, qp, qp, &intval); |
63 | } | ||
64 | // Transform local element matrices to triplets | ||
65 |
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24 | for (auto i = 0; i < vector_dimension; ++i) |
66 |
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24 | for (auto j = 0; j < vector_dimension; ++j) |
67 |
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60 | for (auto ii = 0; ii < polynomial_degree_plus_one_squared; ++ii) |
68 |
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240 | for (auto jj = 0; jj < polynomial_degree_plus_one_squared; ++jj) |
69 |
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192 | tripletList.push_back( |
70 | ✗ | T(polynomial_degree_plus_one_squared * | |
71 | 192 | (j * number_of_elements + element->id_) + | |
72 | jj, | ||
73 | 192 | polynomial_degree_plus_one_squared * | |
74 | 384 | (i * number_of_elements + element->id_) + | |
75 | ii, | ||
76 | 192 | intval(j * polynomial_degree_plus_one_squared + jj, | |
77 |
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192 | i * polynomial_degree_plus_one_squared + ii))); |
78 | } | ||
79 | 2 | disc_op->resize(vector_dimension * polynomial_degree_plus_one_squared * | |
80 | number_of_elements, | ||
81 |
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2 | vector_dimension * polynomial_degree_plus_one_squared * |
82 | number_of_elements); | ||
83 |
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2 | disc_op->setFromTriplets(tripletList.begin(), tripletList.end()); |
84 | 2 | const auto &projector = ansatz_space.get_transformation_matrix(); | |
85 |
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2 | disc_op[0] = projector.transpose() * (disc_op[0] * projector); |
86 | 4 | return; | |
87 | 2 | } | |
88 | }; | ||
89 | |||
90 | /** | ||
91 | * \ingroup LocalOperator | ||
92 | * \brief DiscreteLocalOperator | ||
93 | * Specialization of the DiscreteOperator class for sparse matrices | ||
94 | * and an intgrator for local operators | ||
95 | **/ | ||
96 | template <typename Derived> | ||
97 | using DiscreteLocalOperator = DiscreteOperator< | ||
98 | Eigen::SparseMatrix<typename LinearOperatorTraits<Derived>::Scalar>, | ||
99 | Derived>; | ||
100 | |||
101 | /** | ||
102 | * \brief Helper struct that is used in order to partially specialise the | ||
103 | * compute routine of DiscreteOperator for the Eigen::H2Matrix format | ||
104 | */ | ||
105 | template <typename Derived> | ||
106 | struct DiscreteOperatorComputer< | ||
107 | Eigen::SparseMatrix<typename LinearOperatorTraits<Derived>::Scalar>, | ||
108 | Derived> { | ||
109 | DiscreteOperatorComputer() {} | ||
110 | 2 | static void compute( | |
111 | Eigen::SparseMatrix<typename LinearOperatorTraits<Derived>::Scalar> | ||
112 | *disc_op, | ||
113 | const Derived &lin_op, const AnsatzSpace<Derived> &ansatz_space) { | ||
114 | 2 | DiscreteLocalOperatorComputer<Derived>::compute(disc_op, lin_op, | |
115 | ansatz_space); | ||
116 | 2 | return; | |
117 | } | ||
118 | }; | ||
119 | |||
120 | } // namespace Bembel | ||
121 | #endif // BEMBEL_SRC_LINEAROPERATOR_DISCRETELOCALOPERATOR_HPP_ | ||
122 |