GCC Code Coverage Report

Directory: Bembel/src/
File: Bembel/src/Potential/DiscretePotential.hpp
Date: 2024-09-30 07:01:38
Exec Total Coverage
Lines: 43 43 100.0%
Functions: 18 18 100.0%
Branches: 33 59 55.9%
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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 #ifndef BEMBEL_SRC_POTENTIAL_DISCRETEPOTENTIAL_HPP_
12 #define BEMBEL_SRC_POTENTIAL_DISCRETEPOTENTIAL_HPP_
13
14 namespace Bembel {
15 /**
16 * \ingroup Potential
17 * \brief DiscretePotential
18 * \todo Add a documentation
19 */
20 template <typename Derived, typename LinOp>
21 class DiscretePotential {
22 public:
23 //////////////////////////////////////////////////////////////////////////////
24 // constructors
25 //////////////////////////////////////////////////////////////////////////////
26 DiscretePotential() {}
27
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 6 explicit DiscretePotential(const AnsatzSpace<LinOp> &ansatz_space) {
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 6 init_DiscretePotential(ansatz_space);
29 6 }
30 //////////////////////////////////////////////////////////////////////////////
31 // init_DiscretePotential
32 //////////////////////////////////////////////////////////////////////////////
33 6 void init_DiscretePotential(const AnsatzSpace<LinOp> &ansatz_space) {
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 6 ansatz_space_ = ansatz_space;
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 6 fun_ev_ = FunctionEvaluator<LinOp>(ansatz_space_);
36 /**
37 * \todo obtain this from ansatz space
38 */
39 6 deg_ = ansatz_space_.get_polynomial_degree() + 1;
40 6 return;
41 }
42 //////////////////////////////////////////////////////////////////////////////
43 // compute
44 //////////////////////////////////////////////////////////////////////////////
45 Eigen::Matrix<typename PotentialReturnScalar<
46 typename LinearOperatorTraits<LinOp>::Scalar,
47 typename PotentialTraits<Derived>::Scalar>::Scalar,
48 Eigen::Dynamic, PotentialTraits<Derived>::OutputSpaceDimension>
49 6 evaluate(const Eigen::Matrix<double, Eigen::Dynamic, 3> &points) {
50 6 auto FunctionSpaceVectorDimension =
51 getFunctionSpaceVectorDimension<LinearOperatorTraits<LinOp>::Form>();
52 6 auto OutputDimension = PotentialTraits<Derived>::OutputSpaceDimension;
53
54
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 6 GaussSquare<Constants::maximum_quadrature_degree> GS;
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 6 auto Q = GS[deg_];
56
57 6 auto super_space = ansatz_space_.get_superspace();
58
59 6 const ElementTree &element_tree = super_space.get_mesh().get_element_tree();
60 6 auto number_of_elements = element_tree.get_number_of_elements();
61
62 6 auto polynomial_degree = super_space.get_polynomial_degree();
63 6 auto polynomial_degree_plus_one_squared =
64 6 (polynomial_degree + 1) * (polynomial_degree + 1);
65
66 Eigen::Matrix<typename PotentialReturnScalar<
67 typename LinearOperatorTraits<LinOp>::Scalar,
68 typename PotentialTraits<Derived>::Scalar>::Scalar,
69 Eigen::Dynamic,
70 PotentialTraits<Derived>::OutputSpaceDimension>
71
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 6 potential;
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 6 potential.resize(points.rows(),
73 PotentialTraits<Derived>::OutputSpaceDimension);
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 6 potential.setZero();
75
76 #pragma omp parallel
77 {
78 Eigen::Matrix<typename PotentialReturnScalar<
79 typename LinearOperatorTraits<LinOp>::Scalar,
80 typename PotentialTraits<Derived>::Scalar>::Scalar,
81 Eigen::Dynamic,
82 PotentialTraits<Derived>::OutputSpaceDimension>
83
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 6 my_potential;
84
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 6 my_potential.resize(points.rows(),
85 PotentialTraits<Derived>::OutputSpaceDimension);
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 6 my_potential.setZero();
87 6 for (auto element = element_tree.cpbegin();
88
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 420 element != element_tree.cpend(); ++element) {
89 #pragma omp single nowait
90 {
91
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 414 SurfacePoint qp;
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 2580 for (auto j = 0; j < Q.w_.size(); ++j) {
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 4332 super_space.map2surface(
94 2166 *element, Q.xi_.col(j),
95
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 2166 element->get_h() * element->get_h() * Q.w_(j), &qp);
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 996366 for (auto i = 0; i < points.rows(); ++i) {
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 1988400 my_potential.row(i) += pot_.evaluateIntegrand_impl(
98
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 2982600 fun_ev_, *element, points.row(i), qp);
99 }
100 }
101 }
102 }
103 #pragma omp critical
104
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 6 potential += my_potential;
105 6 }
106 12 return potential;
107 6 }
108 //////////////////////////////////////////////////////////////////////////////
109 // setter
110 //////////////////////////////////////////////////////////////////////////////
111 6 void set_cauchy_data(
112 const Eigen::Matrix<typename LinearOperatorTraits<LinOp>::Scalar,
113 Eigen::Dynamic, 1> &cauchy_data) {
114
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 6 fun_ev_.set_function(cauchy_data);
115 6 }
116 void set_degree(const int &deg) { deg_ = deg; }
117 //////////////////////////////////////////////////////////////////////////////
118 // getter
119 //////////////////////////////////////////////////////////////////////////////
120 3 Derived &get_potential() { return pot_; }
121 //////////////////////////////////////////////////////////////////////////////
122 // private member variables
123 //////////////////////////////////////////////////////////////////////////////
124 private:
125 int deg_;
126 Derived pot_;
127 AnsatzSpace<LinOp> ansatz_space_;
128 FunctionEvaluator<LinOp> fun_ev_;
129 }; // namespace Bembel
130
131 } // namespace Bembel
132 #endif // BEMBEL_SRC_POTENTIAL_DISCRETEPOTENTIAL_HPP_
133