Line data Source code
1 : /*
2 : * Copyright (c) 2013-2015: G-CSC, Goethe University Frankfurt
3 : * Author: Martin Rupp
4 : *
5 : * This file is part of UG4.
6 : *
7 : * UG4 is free software: you can redistribute it and/or modify it under the
8 : * terms of the GNU Lesser General Public License version 3 (as published by the
9 : * Free Software Foundation) with the following additional attribution
10 : * requirements (according to LGPL/GPL v3 §7):
11 : *
12 : * (1) The following notice must be displayed in the Appropriate Legal Notices
13 : * of covered and combined works: "Based on UG4 (www.ug4.org/license)".
14 : *
15 : * (2) The following notice must be displayed at a prominent place in the
16 : * terminal output of covered works: "Based on UG4 (www.ug4.org/license)".
17 : *
18 : * (3) The following bibliography is recommended for citation and must be
19 : * preserved in all covered files:
20 : * "Reiter, S., Vogel, A., Heppner, I., Rupp, M., and Wittum, G. A massively
21 : * parallel geometric multigrid solver on hierarchically distributed grids.
22 : * Computing and visualization in science 16, 4 (2013), 151-164"
23 : * "Vogel, A., Reiter, S., Rupp, M., Nägel, A., and Wittum, G. UG4 -- a novel
24 : * flexible software system for simulating pde based models on high performance
25 : * computers. Computing and visualization in science 16, 4 (2013), 165-179"
26 : *
27 : * This program is distributed in the hope that it will be useful,
28 : * but WITHOUT ANY WARRANTY; without even the implied warranty of
29 : * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
30 : * GNU Lesser General Public License for more details.
31 : */
32 :
33 : #ifndef __H__UG__CPU_ALGEBRA__NOLAPACK_INVERT_H_
34 : #define __H__UG__CPU_ALGEBRA__NOLAPACK_INVERT_H_
35 :
36 : #include "../small_matrix/densematrix.h"
37 : #include "../small_matrix/densevector.h"
38 : #include "../small_matrix/block_dense.h"
39 :
40 : namespace ug{
41 :
42 : template<typename TMatrix, typename TInverseMatrixType, typename TVector>
43 0 : void InverseFromInverseType(TMatrix &mat, TInverseMatrixType &inv, TVector &x, TVector &e)
44 : {
45 0 : x.resize(mat.num_rows());
46 0 : e.resize(mat.num_rows());
47 0 : for(size_t c=0; c<mat.num_rows(); c++)
48 : {
49 : e = 0.0;
50 0 : e[c] = 1.0;
51 0 : MatMult(x, 1.0, inv, e);
52 0 : for(size_t r=0; r<mat.num_cols(); r++)
53 0 : mat(r, c) = x[r];
54 : }
55 :
56 0 : }
57 :
58 : template<typename TMatrix, typename TVector>
59 : void InverseFromInverseType(TMatrix &mat, TMatrix &inv, TVector &x, TVector &e)
60 : {
61 : mat = inv;
62 : }
63 :
64 : template<typename T>
65 0 : bool InvertNdyn(DenseMatrix<T> &mat)
66 : {
67 : typename block_traits<DenseMatrix<T> >::inverse_type inv;
68 0 : if(!GetInverse(inv, mat)) return false;
69 :
70 : DenseVector<VariableArray1<typename DenseMatrix<T>::value_type > > e, x;
71 :
72 0 : InverseFromInverseType(mat, inv, x, e);
73 :
74 : return true;
75 0 : }
76 :
77 : template<typename T, size_t TUnknowns>
78 : bool Invert(DenseMatrix<FixedArray2<T, TUnknowns, TUnknowns> > &mat)
79 : {
80 : typename block_traits<DenseMatrix<T> >::inverse_type inv;
81 : if(!GetInverse(inv, mat)) return false;
82 :
83 : DenseVector<FixedArray1<typename DenseMatrix<T>::value_type , TUnknowns > > e, x;
84 : InverseFromInverseType(mat, inv, x, e);
85 :
86 : return true;
87 : }
88 :
89 :
90 : }
91 :
92 :
93 : #endif /* NOLAPACK_INVERT_H_ */
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