Mercurial > hg > segmenter-vamp-plugin
comparison armadillo-2.4.4/include/armadillo_bits/glue_kron_meat.hpp @ 0:8b6102e2a9b0
Armadillo Library
author | maxzanoni76 <max.zanoni@eecs.qmul.ac.uk> |
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date | Wed, 11 Apr 2012 09:27:06 +0100 |
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-1:000000000000 | 0:8b6102e2a9b0 |
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1 // Copyright (C) 2009-2010 NICTA (www.nicta.com.au) | |
2 // Copyright (C) 2009-2010 Conrad Sanderson | |
3 // Copyright (C) 2009-2010 Dimitrios Bouzas | |
4 // | |
5 // This file is part of the Armadillo C++ library. | |
6 // It is provided without any warranty of fitness | |
7 // for any purpose. You can redistribute this file | |
8 // and/or modify it under the terms of the GNU | |
9 // Lesser General Public License (LGPL) as published | |
10 // by the Free Software Foundation, either version 3 | |
11 // of the License or (at your option) any later version. | |
12 // (see http://www.opensource.org/licenses for more info) | |
13 | |
14 | |
15 //! \addtogroup glue_kron | |
16 //! @{ | |
17 | |
18 | |
19 | |
20 //! \brief | |
21 //! both input matrices have the same element type | |
22 template<typename eT> | |
23 inline | |
24 void | |
25 glue_kron::direct_kron(Mat<eT>& out, const Mat<eT>& A, const Mat<eT>& B) | |
26 { | |
27 arma_extra_debug_sigprint(); | |
28 | |
29 const uword A_rows = A.n_rows; | |
30 const uword A_cols = A.n_cols; | |
31 const uword B_rows = B.n_rows; | |
32 const uword B_cols = B.n_cols; | |
33 | |
34 out.set_size(A_rows*B_rows, A_cols*B_cols); | |
35 | |
36 for(uword i = 0; i < A_rows; i++) | |
37 { | |
38 for(uword j = 0; j < A_cols; j++) | |
39 { | |
40 out.submat(i*B_rows, j*B_cols, (i+1)*B_rows-1, (j+1)*B_cols-1) = A(i,j) * B; | |
41 } | |
42 } | |
43 } | |
44 | |
45 | |
46 | |
47 //! \brief | |
48 //! different types of input matrices | |
49 //! A -> complex, B -> basic element type | |
50 template<typename T> | |
51 inline | |
52 void | |
53 glue_kron::direct_kron(Mat< std::complex<T> >& out, const Mat< std::complex<T> >& A, const Mat<T>& B) | |
54 { | |
55 arma_extra_debug_sigprint(); | |
56 | |
57 typedef typename std::complex<T> eT; | |
58 | |
59 const uword A_rows = A.n_rows; | |
60 const uword A_cols = A.n_cols; | |
61 const uword B_rows = B.n_rows; | |
62 const uword B_cols = B.n_cols; | |
63 | |
64 out.set_size(A_rows*B_rows, A_cols*B_cols); | |
65 | |
66 Mat<eT> tmp_B = conv_to< Mat<eT> >::from(B); | |
67 | |
68 for(uword i = 0; i < A_rows; i++) | |
69 { | |
70 for(uword j = 0; j < A_cols; j++) | |
71 { | |
72 out.submat(i*B_rows, j*B_cols, (i+1)*B_rows-1, (j+1)*B_cols-1) = A(i,j) * tmp_B; | |
73 } | |
74 } | |
75 } | |
76 | |
77 | |
78 | |
79 //! \brief | |
80 //! different types of input matrices | |
81 //! A -> basic element type, B -> complex | |
82 template<typename T> | |
83 inline | |
84 void | |
85 glue_kron::direct_kron(Mat< std::complex<T> >& out, const Mat<T>& A, const Mat< std::complex<T> >& B) | |
86 { | |
87 arma_extra_debug_sigprint(); | |
88 | |
89 const uword A_rows = A.n_rows; | |
90 const uword A_cols = A.n_cols; | |
91 const uword B_rows = B.n_rows; | |
92 const uword B_cols = B.n_cols; | |
93 | |
94 out.set_size(A_rows*B_rows, A_cols*B_cols); | |
95 | |
96 for(uword i = 0; i < A_rows; i++) | |
97 { | |
98 for(uword j = 0; j < A_cols; j++) | |
99 { | |
100 out.submat(i*B_rows, j*B_cols, (i+1)*B_rows-1, (j+1)*B_cols-1) = A(i,j) * B; | |
101 } | |
102 } | |
103 } | |
104 | |
105 | |
106 | |
107 //! \brief | |
108 //! apply Kronecker product for two objects with same element type | |
109 template<typename T1, typename T2> | |
110 inline | |
111 void | |
112 glue_kron::apply(Mat<typename T1::elem_type>& out, const Glue<T1,T2,glue_kron>& X) | |
113 { | |
114 arma_extra_debug_sigprint(); | |
115 | |
116 typedef typename T1::elem_type eT; | |
117 | |
118 const unwrap_check<T1> A_tmp(X.A, out); | |
119 const unwrap_check<T2> B_tmp(X.B, out); | |
120 | |
121 const Mat<eT>& A = A_tmp.M; | |
122 const Mat<eT>& B = B_tmp.M; | |
123 | |
124 glue_kron::direct_kron(out, A, B); | |
125 } | |
126 | |
127 | |
128 | |
129 //! @} |