1 <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
2 <html xmlns="http://www.w3.org/1999/xhtml">
4 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
5 <title>ublas: operation_blocked.hpp Source File</title>
6 <link href="tabs.css" rel="stylesheet" type="text/css"/>
7 <link href="doxygen.css" rel="stylesheet" type="text/css"/>
10 <!-- Generated by Doxygen 1.6.1 -->
11 <div class="navigation" id="top">
14 <li><a href="index.html"><span>Main Page</span></a></li>
15 <li><a href="pages.html"><span>Related Pages</span></a></li>
16 <li><a href="annotated.html"><span>Classes</span></a></li>
17 <li class="current"><a href="files.html"><span>Files</span></a></li>
22 <li><a href="files.html"><span>File List</span></a></li>
25 <h1>operation_blocked.hpp</h1><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">//</span>
26 <a name="l00002"></a>00002 <span class="comment">// Copyright (c) 2000-2002</span>
27 <a name="l00003"></a>00003 <span class="comment">// Joerg Walter, Mathias Koch</span>
28 <a name="l00004"></a>00004 <span class="comment">//</span>
29 <a name="l00005"></a>00005 <span class="comment">// Distributed under the Boost Software License, Version 1.0. (See</span>
30 <a name="l00006"></a>00006 <span class="comment">// accompanying file LICENSE_1_0.txt or copy at</span>
31 <a name="l00007"></a>00007 <span class="comment">// http://www.boost.org/LICENSE_1_0.txt)</span>
32 <a name="l00008"></a>00008 <span class="comment">//</span>
33 <a name="l00009"></a>00009 <span class="comment">// The authors gratefully acknowledge the support of</span>
34 <a name="l00010"></a>00010 <span class="comment">// GeNeSys mbH & Co. KG in producing this work.</span>
35 <a name="l00011"></a>00011 <span class="comment">//</span>
36 <a name="l00012"></a>00012
37 <a name="l00013"></a>00013 <span class="preprocessor">#ifndef _BOOST_UBLAS_OPERATION_BLOCKED_</span>
38 <a name="l00014"></a>00014 <span class="preprocessor"></span><span class="preprocessor">#define _BOOST_UBLAS_OPERATION_BLOCKED_</span>
39 <a name="l00015"></a>00015 <span class="preprocessor"></span>
40 <a name="l00016"></a>00016 <span class="preprocessor">#include <boost/numeric/ublas/traits.hpp></span>
41 <a name="l00017"></a>00017 <span class="preprocessor">#include <boost/numeric/ublas/detail/vector_assign.hpp></span> <span class="comment">// indexing_vector_assign</span>
42 <a name="l00018"></a>00018 <span class="preprocessor">#include <boost/numeric/ublas/detail/matrix_assign.hpp></span> <span class="comment">// indexing_matrix_assign</span>
43 <a name="l00019"></a>00019
44 <a name="l00020"></a>00020
45 <a name="l00021"></a>00021 <span class="keyword">namespace </span>boost { <span class="keyword">namespace </span>numeric { <span class="keyword">namespace </span>ublas {
46 <a name="l00022"></a>00022
47 <a name="l00023"></a>00023 <span class="keyword">template</span><<span class="keyword">class</span> V, <span class="keyword">typename</span> V::<span class="keywordtype">size_t</span>ype BS, <span class="keyword">class</span> E1, <span class="keyword">class</span> E2>
48 <a name="l00024"></a>00024 BOOST_UBLAS_INLINE
49 <a name="l00025"></a>00025 V
50 <a name="l00026"></a>00026 block_prod (<span class="keyword">const</span> matrix_expression<E1> &e1,
51 <a name="l00027"></a>00027 <span class="keyword">const</span> vector_expression<E2> &e2) {
52 <a name="l00028"></a>00028 <span class="keyword">typedef</span> V vector_type;
53 <a name="l00029"></a>00029 <span class="keyword">typedef</span> <span class="keyword">const</span> E1 expression1_type;
54 <a name="l00030"></a>00030 <span class="keyword">typedef</span> <span class="keyword">const</span> E2 expression2_type;
55 <a name="l00031"></a>00031 <span class="keyword">typedef</span> <span class="keyword">typename</span> V::size_type size_type;
56 <a name="l00032"></a>00032 <span class="keyword">typedef</span> <span class="keyword">typename</span> V::value_type value_type;
57 <a name="l00033"></a>00033 <span class="keyword">const</span> size_type block_size = BS;
58 <a name="l00034"></a>00034
59 <a name="l00035"></a>00035 V v (e1 ().size1 ());
60 <a name="l00036"></a>00036 <span class="preprocessor">#if BOOST_UBLAS_TYPE_CHECK</span>
61 <a name="l00037"></a>00037 <span class="preprocessor"></span> vector<value_type> cv (v.size ());
62 <a name="l00038"></a>00038 <span class="keyword">typedef</span> <span class="keyword">typename</span> type_traits<value_type>::real_type real_type;
63 <a name="l00039"></a>00039 real_type verrorbound (norm_1 (v) + norm_1 (e1) * norm_1 (e2));
64 <a name="l00040"></a>00040 indexing_vector_assign<scalar_assign> (cv, prod (e1, e2));
65 <a name="l00041"></a>00041 <span class="preprocessor">#endif</span>
66 <a name="l00042"></a>00042 <span class="preprocessor"></span> size_type i_size = e1 ().size1 ();
67 <a name="l00043"></a>00043 size_type j_size = BOOST_UBLAS_SAME (e1 ().size2 (), e2 ().size ());
68 <a name="l00044"></a>00044 <span class="keywordflow">for</span> (size_type i_begin = 0; i_begin < i_size; i_begin += block_size) {
69 <a name="l00045"></a>00045 size_type i_end = i_begin + (std::min) (i_size - i_begin, block_size);
70 <a name="l00046"></a>00046 <span class="comment">// FIX: never ignore Martin Weiser's advice ;-(</span>
71 <a name="l00047"></a>00047 <span class="preprocessor">#ifdef BOOST_UBLAS_NO_CACHE</span>
72 <a name="l00048"></a>00048 <span class="preprocessor"></span> vector_range<vector_type> v_range (v, range (i_begin, i_end));
73 <a name="l00049"></a>00049 <span class="preprocessor">#else</span>
74 <a name="l00050"></a>00050 <span class="preprocessor"></span> <span class="comment">// vector<value_type, bounded_array<value_type, block_size> > v_range (i_end - i_begin);</span>
75 <a name="l00051"></a>00051 vector<value_type> v_range (i_end - i_begin);
76 <a name="l00052"></a>00052 <span class="preprocessor">#endif</span>
77 <a name="l00053"></a>00053 <span class="preprocessor"></span> v_range.assign (zero_vector<value_type> (i_end - i_begin));
78 <a name="l00054"></a>00054 <span class="keywordflow">for</span> (size_type j_begin = 0; j_begin < j_size; j_begin += block_size) {
79 <a name="l00055"></a>00055 size_type j_end = j_begin + (std::min) (j_size - j_begin, block_size);
80 <a name="l00056"></a>00056 <span class="preprocessor">#ifdef BOOST_UBLAS_NO_CACHE</span>
81 <a name="l00057"></a>00057 <span class="preprocessor"></span> <span class="keyword">const</span> matrix_range<expression1_type> e1_range (e1 (), range (i_begin, i_end), range (j_begin, j_end));
82 <a name="l00058"></a>00058 <span class="keyword">const</span> vector_range<expression2_type> e2_range (e2 (), range (j_begin, j_end));
83 <a name="l00059"></a>00059 v_range.plus_assign (prod (e1_range, e2_range));
84 <a name="l00060"></a>00060 <span class="preprocessor">#else</span>
85 <a name="l00061"></a>00061 <span class="preprocessor"></span> <span class="comment">// const matrix<value_type, row_major, bounded_array<value_type, block_size * block_size> > e1_range (project (e1 (), range (i_begin, i_end), range (j_begin, j_end)));</span>
86 <a name="l00062"></a>00062 <span class="comment">// const vector<value_type, bounded_array<value_type, block_size> > e2_range (project (e2 (), range (j_begin, j_end)));</span>
87 <a name="l00063"></a>00063 <span class="keyword">const</span> matrix<value_type, row_major> e1_range (project (e1 (), range (i_begin, i_end), range (j_begin, j_end)));
88 <a name="l00064"></a>00064 <span class="keyword">const</span> vector<value_type> e2_range (project (e2 (), range (j_begin, j_end)));
89 <a name="l00065"></a>00065 v_range.plus_assign (prod (e1_range, e2_range));
90 <a name="l00066"></a>00066 <span class="preprocessor">#endif</span>
91 <a name="l00067"></a>00067 <span class="preprocessor"></span> }
92 <a name="l00068"></a>00068 <span class="preprocessor">#ifndef BOOST_UBLAS_NO_CACHE</span>
93 <a name="l00069"></a>00069 <span class="preprocessor"></span> project (v, range (i_begin, i_end)).assign (v_range);
94 <a name="l00070"></a>00070 <span class="preprocessor">#endif</span>
95 <a name="l00071"></a>00071 <span class="preprocessor"></span> }
96 <a name="l00072"></a>00072 <span class="preprocessor">#if BOOST_UBLAS_TYPE_CHECK</span>
97 <a name="l00073"></a>00073 <span class="preprocessor"></span> BOOST_UBLAS_CHECK (norm_1 (v - cv) <= 2 * std::numeric_limits<real_type>::epsilon () * verrorbound, internal_logic ());
98 <a name="l00074"></a>00074 <span class="preprocessor">#endif</span>
99 <a name="l00075"></a>00075 <span class="preprocessor"></span> <span class="keywordflow">return</span> v;
100 <a name="l00076"></a>00076 }
101 <a name="l00077"></a>00077
102 <a name="l00078"></a>00078 <span class="keyword">template</span><<span class="keyword">class</span> V, <span class="keyword">typename</span> V::<span class="keywordtype">size_t</span>ype BS, <span class="keyword">class</span> E1, <span class="keyword">class</span> E2>
103 <a name="l00079"></a>00079 BOOST_UBLAS_INLINE
104 <a name="l00080"></a>00080 V
105 <a name="l00081"></a>00081 block_prod (<span class="keyword">const</span> vector_expression<E1> &e1,
106 <a name="l00082"></a>00082 <span class="keyword">const</span> matrix_expression<E2> &e2) {
107 <a name="l00083"></a>00083 <span class="keyword">typedef</span> V vector_type;
108 <a name="l00084"></a>00084 <span class="keyword">typedef</span> <span class="keyword">const</span> E1 expression1_type;
109 <a name="l00085"></a>00085 <span class="keyword">typedef</span> <span class="keyword">const</span> E2 expression2_type;
110 <a name="l00086"></a>00086 <span class="keyword">typedef</span> <span class="keyword">typename</span> V::size_type size_type;
111 <a name="l00087"></a>00087 <span class="keyword">typedef</span> <span class="keyword">typename</span> V::value_type value_type;
112 <a name="l00088"></a>00088 <span class="keyword">const</span> size_type block_size = BS;
113 <a name="l00089"></a>00089
114 <a name="l00090"></a>00090 V v (e2 ().size2 ());
115 <a name="l00091"></a>00091 <span class="preprocessor">#if BOOST_UBLAS_TYPE_CHECK</span>
116 <a name="l00092"></a>00092 <span class="preprocessor"></span> vector<value_type> cv (v.size ());
117 <a name="l00093"></a>00093 <span class="keyword">typedef</span> <span class="keyword">typename</span> type_traits<value_type>::real_type real_type;
118 <a name="l00094"></a>00094 real_type verrorbound (norm_1 (v) + norm_1 (e1) * norm_1 (e2));
119 <a name="l00095"></a>00095 indexing_vector_assign<scalar_assign> (cv, prod (e1, e2));
120 <a name="l00096"></a>00096 <span class="preprocessor">#endif</span>
121 <a name="l00097"></a>00097 <span class="preprocessor"></span> size_type i_size = BOOST_UBLAS_SAME (e1 ().size (), e2 ().size1 ());
122 <a name="l00098"></a>00098 size_type j_size = e2 ().size2 ();
123 <a name="l00099"></a>00099 <span class="keywordflow">for</span> (size_type j_begin = 0; j_begin < j_size; j_begin += block_size) {
124 <a name="l00100"></a>00100 size_type j_end = j_begin + (std::min) (j_size - j_begin, block_size);
125 <a name="l00101"></a>00101 <span class="comment">// FIX: never ignore Martin Weiser's advice ;-(</span>
126 <a name="l00102"></a>00102 <span class="preprocessor">#ifdef BOOST_UBLAS_NO_CACHE</span>
127 <a name="l00103"></a>00103 <span class="preprocessor"></span> vector_range<vector_type> v_range (v, range (j_begin, j_end));
128 <a name="l00104"></a>00104 <span class="preprocessor">#else</span>
129 <a name="l00105"></a>00105 <span class="preprocessor"></span> <span class="comment">// vector<value_type, bounded_array<value_type, block_size> > v_range (j_end - j_begin);</span>
130 <a name="l00106"></a>00106 vector<value_type> v_range (j_end - j_begin);
131 <a name="l00107"></a>00107 <span class="preprocessor">#endif</span>
132 <a name="l00108"></a>00108 <span class="preprocessor"></span> v_range.assign (zero_vector<value_type> (j_end - j_begin));
133 <a name="l00109"></a>00109 <span class="keywordflow">for</span> (size_type i_begin = 0; i_begin < i_size; i_begin += block_size) {
134 <a name="l00110"></a>00110 size_type i_end = i_begin + (std::min) (i_size - i_begin, block_size);
135 <a name="l00111"></a>00111 <span class="preprocessor">#ifdef BOOST_UBLAS_NO_CACHE</span>
136 <a name="l00112"></a>00112 <span class="preprocessor"></span> <span class="keyword">const</span> vector_range<expression1_type> e1_range (e1 (), range (i_begin, i_end));
137 <a name="l00113"></a>00113 <span class="keyword">const</span> matrix_range<expression2_type> e2_range (e2 (), range (i_begin, i_end), range (j_begin, j_end));
138 <a name="l00114"></a>00114 <span class="preprocessor">#else</span>
139 <a name="l00115"></a>00115 <span class="preprocessor"></span> <span class="comment">// const vector<value_type, bounded_array<value_type, block_size> > e1_range (project (e1 (), range (i_begin, i_end)));</span>
140 <a name="l00116"></a>00116 <span class="comment">// const matrix<value_type, column_major, bounded_array<value_type, block_size * block_size> > e2_range (project (e2 (), range (i_begin, i_end), range (j_begin, j_end)));</span>
141 <a name="l00117"></a>00117 <span class="keyword">const</span> vector<value_type> e1_range (project (e1 (), range (i_begin, i_end)));
142 <a name="l00118"></a>00118 <span class="keyword">const</span> matrix<value_type, column_major> e2_range (project (e2 (), range (i_begin, i_end), range (j_begin, j_end)));
143 <a name="l00119"></a>00119 <span class="preprocessor">#endif</span>
144 <a name="l00120"></a>00120 <span class="preprocessor"></span> v_range.plus_assign (prod (e1_range, e2_range));
145 <a name="l00121"></a>00121 }
146 <a name="l00122"></a>00122 <span class="preprocessor">#ifndef BOOST_UBLAS_NO_CACHE</span>
147 <a name="l00123"></a>00123 <span class="preprocessor"></span> project (v, range (j_begin, j_end)).assign (v_range);
148 <a name="l00124"></a>00124 <span class="preprocessor">#endif</span>
149 <a name="l00125"></a>00125 <span class="preprocessor"></span> }
150 <a name="l00126"></a>00126 <span class="preprocessor">#if BOOST_UBLAS_TYPE_CHECK</span>
151 <a name="l00127"></a>00127 <span class="preprocessor"></span> BOOST_UBLAS_CHECK (norm_1 (v - cv) <= 2 * std::numeric_limits<real_type>::epsilon () * verrorbound, internal_logic ());
152 <a name="l00128"></a>00128 <span class="preprocessor">#endif</span>
153 <a name="l00129"></a>00129 <span class="preprocessor"></span> <span class="keywordflow">return</span> v;
154 <a name="l00130"></a>00130 }
155 <a name="l00131"></a>00131
156 <a name="l00132"></a>00132 <span class="keyword">template</span><<span class="keyword">class</span> M, <span class="keyword">typename</span> M::<span class="keywordtype">size_t</span>ype BS, <span class="keyword">class</span> E1, <span class="keyword">class</span> E2>
157 <a name="l00133"></a>00133 BOOST_UBLAS_INLINE
158 <a name="l00134"></a>00134 M
159 <a name="l00135"></a>00135 block_prod (<span class="keyword">const</span> matrix_expression<E1> &e1,
160 <a name="l00136"></a>00136 <span class="keyword">const</span> matrix_expression<E2> &e2,
161 <a name="l00137"></a>00137 row_major_tag) {
162 <a name="l00138"></a>00138 <span class="keyword">typedef</span> M matrix_type;
163 <a name="l00139"></a>00139 <span class="keyword">typedef</span> <span class="keyword">const</span> E1 expression1_type;
164 <a name="l00140"></a>00140 <span class="keyword">typedef</span> <span class="keyword">const</span> E2 expression2_type;
165 <a name="l00141"></a>00141 <span class="keyword">typedef</span> <span class="keyword">typename</span> M::size_type size_type;
166 <a name="l00142"></a>00142 <span class="keyword">typedef</span> <span class="keyword">typename</span> M::value_type value_type;
167 <a name="l00143"></a>00143 <span class="keyword">const</span> size_type block_size = BS;
168 <a name="l00144"></a>00144
169 <a name="l00145"></a>00145 M m (e1 ().size1 (), e2 ().size2 ());
170 <a name="l00146"></a>00146 <span class="preprocessor">#if BOOST_UBLAS_TYPE_CHECK</span>
171 <a name="l00147"></a>00147 <span class="preprocessor"></span> matrix<value_type, row_major> cm (m.size1 (), m.size2 ());
172 <a name="l00148"></a>00148 <span class="keyword">typedef</span> <span class="keyword">typename</span> type_traits<value_type>::real_type real_type;
173 <a name="l00149"></a>00149 real_type merrorbound (norm_1 (m) + norm_1 (e1) * norm_1 (e2));
174 <a name="l00150"></a>00150 indexing_matrix_assign<scalar_assign> (cm, prod (e1, e2), row_major_tag ());
175 <a name="l00151"></a>00151 disable_type_check<bool>::value = <span class="keyword">true</span>;
176 <a name="l00152"></a>00152 <span class="preprocessor">#endif</span>
177 <a name="l00153"></a>00153 <span class="preprocessor"></span> size_type i_size = e1 ().size1 ();
178 <a name="l00154"></a>00154 size_type j_size = e2 ().size2 ();
179 <a name="l00155"></a>00155 size_type k_size = BOOST_UBLAS_SAME (e1 ().size2 (), e2 ().size1 ());
180 <a name="l00156"></a>00156 <span class="keywordflow">for</span> (size_type i_begin = 0; i_begin < i_size; i_begin += block_size) {
181 <a name="l00157"></a>00157 size_type i_end = i_begin + (std::min) (i_size - i_begin, block_size);
182 <a name="l00158"></a>00158 <span class="keywordflow">for</span> (size_type j_begin = 0; j_begin < j_size; j_begin += block_size) {
183 <a name="l00159"></a>00159 size_type j_end = j_begin + (std::min) (j_size - j_begin, block_size);
184 <a name="l00160"></a>00160 <span class="comment">// FIX: never ignore Martin Weiser's advice ;-(</span>
185 <a name="l00161"></a>00161 <span class="preprocessor">#ifdef BOOST_UBLAS_NO_CACHE</span>
186 <a name="l00162"></a>00162 <span class="preprocessor"></span> matrix_range<matrix_type> m_range (m, range (i_begin, i_end), range (j_begin, j_end));
187 <a name="l00163"></a>00163 <span class="preprocessor">#else</span>
188 <a name="l00164"></a>00164 <span class="preprocessor"></span> <span class="comment">// matrix<value_type, row_major, bounded_array<value_type, block_size * block_size> > m_range (i_end - i_begin, j_end - j_begin);</span>
189 <a name="l00165"></a>00165 matrix<value_type, row_major> m_range (i_end - i_begin, j_end - j_begin);
190 <a name="l00166"></a>00166 <span class="preprocessor">#endif</span>
191 <a name="l00167"></a>00167 <span class="preprocessor"></span> m_range.assign (zero_matrix<value_type> (i_end - i_begin, j_end - j_begin));
192 <a name="l00168"></a>00168 <span class="keywordflow">for</span> (size_type k_begin = 0; k_begin < k_size; k_begin += block_size) {
193 <a name="l00169"></a>00169 size_type k_end = k_begin + (std::min) (k_size - k_begin, block_size);
194 <a name="l00170"></a>00170 <span class="preprocessor">#ifdef BOOST_UBLAS_NO_CACHE</span>
195 <a name="l00171"></a>00171 <span class="preprocessor"></span> <span class="keyword">const</span> matrix_range<expression1_type> e1_range (e1 (), range (i_begin, i_end), range (k_begin, k_end));
196 <a name="l00172"></a>00172 <span class="keyword">const</span> matrix_range<expression2_type> e2_range (e2 (), range (k_begin, k_end), range (j_begin, j_end));
197 <a name="l00173"></a>00173 <span class="preprocessor">#else</span>
198 <a name="l00174"></a>00174 <span class="preprocessor"></span> <span class="comment">// const matrix<value_type, row_major, bounded_array<value_type, block_size * block_size> > e1_range (project (e1 (), range (i_begin, i_end), range (k_begin, k_end)));</span>
199 <a name="l00175"></a>00175 <span class="comment">// const matrix<value_type, column_major, bounded_array<value_type, block_size * block_size> > e2_range (project (e2 (), range (k_begin, k_end), range (j_begin, j_end)));</span>
200 <a name="l00176"></a>00176 <span class="keyword">const</span> matrix<value_type, row_major> e1_range (project (e1 (), range (i_begin, i_end), range (k_begin, k_end)));
201 <a name="l00177"></a>00177 <span class="keyword">const</span> matrix<value_type, column_major> e2_range (project (e2 (), range (k_begin, k_end), range (j_begin, j_end)));
202 <a name="l00178"></a>00178 <span class="preprocessor">#endif</span>
203 <a name="l00179"></a>00179 <span class="preprocessor"></span> m_range.plus_assign (prod (e1_range, e2_range));
204 <a name="l00180"></a>00180 }
205 <a name="l00181"></a>00181 <span class="preprocessor">#ifndef BOOST_UBLAS_NO_CACHE</span>
206 <a name="l00182"></a>00182 <span class="preprocessor"></span> project (m, range (i_begin, i_end), range (j_begin, j_end)).assign (m_range);
207 <a name="l00183"></a>00183 <span class="preprocessor">#endif</span>
208 <a name="l00184"></a>00184 <span class="preprocessor"></span> }
209 <a name="l00185"></a>00185 }
210 <a name="l00186"></a>00186 <span class="preprocessor">#if BOOST_UBLAS_TYPE_CHECK</span>
211 <a name="l00187"></a>00187 <span class="preprocessor"></span> disable_type_check<bool>::value = <span class="keyword">false</span>;
212 <a name="l00188"></a>00188 BOOST_UBLAS_CHECK (norm_1 (m - cm) <= 2 * std::numeric_limits<real_type>::epsilon () * merrorbound, internal_logic ());
213 <a name="l00189"></a>00189 <span class="preprocessor">#endif</span>
214 <a name="l00190"></a>00190 <span class="preprocessor"></span> <span class="keywordflow">return</span> m;
215 <a name="l00191"></a>00191 }
216 <a name="l00192"></a>00192
217 <a name="l00193"></a>00193 <span class="keyword">template</span><<span class="keyword">class</span> M, <span class="keyword">typename</span> M::<span class="keywordtype">size_t</span>ype BS, <span class="keyword">class</span> E1, <span class="keyword">class</span> E2>
218 <a name="l00194"></a>00194 BOOST_UBLAS_INLINE
219 <a name="l00195"></a>00195 M
220 <a name="l00196"></a>00196 block_prod (<span class="keyword">const</span> matrix_expression<E1> &e1,
221 <a name="l00197"></a>00197 <span class="keyword">const</span> matrix_expression<E2> &e2,
222 <a name="l00198"></a>00198 column_major_tag) {
223 <a name="l00199"></a>00199 <span class="keyword">typedef</span> M matrix_type;
224 <a name="l00200"></a>00200 <span class="keyword">typedef</span> <span class="keyword">const</span> E1 expression1_type;
225 <a name="l00201"></a>00201 <span class="keyword">typedef</span> <span class="keyword">const</span> E2 expression2_type;
226 <a name="l00202"></a>00202 <span class="keyword">typedef</span> <span class="keyword">typename</span> M::size_type size_type;
227 <a name="l00203"></a>00203 <span class="keyword">typedef</span> <span class="keyword">typename</span> M::value_type value_type;
228 <a name="l00204"></a>00204 <span class="keyword">const</span> size_type block_size = BS;
229 <a name="l00205"></a>00205
230 <a name="l00206"></a>00206 M m (e1 ().size1 (), e2 ().size2 ());
231 <a name="l00207"></a>00207 <span class="preprocessor">#if BOOST_UBLAS_TYPE_CHECK</span>
232 <a name="l00208"></a>00208 <span class="preprocessor"></span> matrix<value_type, column_major> cm (m.size1 (), m.size2 ());
233 <a name="l00209"></a>00209 <span class="keyword">typedef</span> <span class="keyword">typename</span> type_traits<value_type>::real_type real_type;
234 <a name="l00210"></a>00210 real_type merrorbound (norm_1 (m) + norm_1 (e1) * norm_1 (e2));
235 <a name="l00211"></a>00211 indexing_matrix_assign<scalar_assign> (cm, prod (e1, e2), column_major_tag ());
236 <a name="l00212"></a>00212 disable_type_check<bool>::value = <span class="keyword">true</span>;
237 <a name="l00213"></a>00213 <span class="preprocessor">#endif</span>
238 <a name="l00214"></a>00214 <span class="preprocessor"></span> size_type i_size = e1 ().size1 ();
239 <a name="l00215"></a>00215 size_type j_size = e2 ().size2 ();
240 <a name="l00216"></a>00216 size_type k_size = BOOST_UBLAS_SAME (e1 ().size2 (), e2 ().size1 ());
241 <a name="l00217"></a>00217 <span class="keywordflow">for</span> (size_type j_begin = 0; j_begin < j_size; j_begin += block_size) {
242 <a name="l00218"></a>00218 size_type j_end = j_begin + (std::min) (j_size - j_begin, block_size);
243 <a name="l00219"></a>00219 <span class="keywordflow">for</span> (size_type i_begin = 0; i_begin < i_size; i_begin += block_size) {
244 <a name="l00220"></a>00220 size_type i_end = i_begin + (std::min) (i_size - i_begin, block_size);
245 <a name="l00221"></a>00221 <span class="comment">// FIX: never ignore Martin Weiser's advice ;-(</span>
246 <a name="l00222"></a>00222 <span class="preprocessor">#ifdef BOOST_UBLAS_NO_CACHE</span>
247 <a name="l00223"></a>00223 <span class="preprocessor"></span> matrix_range<matrix_type> m_range (m, range (i_begin, i_end), range (j_begin, j_end));
248 <a name="l00224"></a>00224 <span class="preprocessor">#else</span>
249 <a name="l00225"></a>00225 <span class="preprocessor"></span> <span class="comment">// matrix<value_type, column_major, bounded_array<value_type, block_size * block_size> > m_range (i_end - i_begin, j_end - j_begin);</span>
250 <a name="l00226"></a>00226 matrix<value_type, column_major> m_range (i_end - i_begin, j_end - j_begin);
251 <a name="l00227"></a>00227 <span class="preprocessor">#endif</span>
252 <a name="l00228"></a>00228 <span class="preprocessor"></span> m_range.assign (zero_matrix<value_type> (i_end - i_begin, j_end - j_begin));
253 <a name="l00229"></a>00229 <span class="keywordflow">for</span> (size_type k_begin = 0; k_begin < k_size; k_begin += block_size) {
254 <a name="l00230"></a>00230 size_type k_end = k_begin + (std::min) (k_size - k_begin, block_size);
255 <a name="l00231"></a>00231 <span class="preprocessor">#ifdef BOOST_UBLAS_NO_CACHE</span>
256 <a name="l00232"></a>00232 <span class="preprocessor"></span> <span class="keyword">const</span> matrix_range<expression1_type> e1_range (e1 (), range (i_begin, i_end), range (k_begin, k_end));
257 <a name="l00233"></a>00233 <span class="keyword">const</span> matrix_range<expression2_type> e2_range (e2 (), range (k_begin, k_end), range (j_begin, j_end));
258 <a name="l00234"></a>00234 <span class="preprocessor">#else</span>
259 <a name="l00235"></a>00235 <span class="preprocessor"></span> <span class="comment">// const matrix<value_type, row_major, bounded_array<value_type, block_size * block_size> > e1_range (project (e1 (), range (i_begin, i_end), range (k_begin, k_end)));</span>
260 <a name="l00236"></a>00236 <span class="comment">// const matrix<value_type, column_major, bounded_array<value_type, block_size * block_size> > e2_range (project (e2 (), range (k_begin, k_end), range (j_begin, j_end)));</span>
261 <a name="l00237"></a>00237 <span class="keyword">const</span> matrix<value_type, row_major> e1_range (project (e1 (), range (i_begin, i_end), range (k_begin, k_end)));
262 <a name="l00238"></a>00238 <span class="keyword">const</span> matrix<value_type, column_major> e2_range (project (e2 (), range (k_begin, k_end), range (j_begin, j_end)));
263 <a name="l00239"></a>00239 <span class="preprocessor">#endif</span>
264 <a name="l00240"></a>00240 <span class="preprocessor"></span> m_range.plus_assign (prod (e1_range, e2_range));
265 <a name="l00241"></a>00241 }
266 <a name="l00242"></a>00242 <span class="preprocessor">#ifndef BOOST_UBLAS_NO_CACHE</span>
267 <a name="l00243"></a>00243 <span class="preprocessor"></span> project (m, range (i_begin, i_end), range (j_begin, j_end)).assign (m_range);
268 <a name="l00244"></a>00244 <span class="preprocessor">#endif</span>
269 <a name="l00245"></a>00245 <span class="preprocessor"></span> }
270 <a name="l00246"></a>00246 }
271 <a name="l00247"></a>00247 <span class="preprocessor">#if BOOST_UBLAS_TYPE_CHECK</span>
272 <a name="l00248"></a>00248 <span class="preprocessor"></span> disable_type_check<bool>::value = <span class="keyword">false</span>;
273 <a name="l00249"></a>00249 BOOST_UBLAS_CHECK (norm_1 (m - cm) <= 2 * std::numeric_limits<real_type>::epsilon () * merrorbound, internal_logic ());
274 <a name="l00250"></a>00250 <span class="preprocessor">#endif</span>
275 <a name="l00251"></a>00251 <span class="preprocessor"></span> <span class="keywordflow">return</span> m;
276 <a name="l00252"></a>00252 }
277 <a name="l00253"></a>00253
278 <a name="l00254"></a>00254 <span class="comment">// Dispatcher</span>
279 <a name="l00255"></a>00255 <span class="keyword">template</span><<span class="keyword">class</span> M, <span class="keyword">typename</span> M::<span class="keywordtype">size_t</span>ype BS, <span class="keyword">class</span> E1, <span class="keyword">class</span> E2>
280 <a name="l00256"></a>00256 BOOST_UBLAS_INLINE
281 <a name="l00257"></a>00257 M
282 <a name="l00258"></a>00258 block_prod (<span class="keyword">const</span> matrix_expression<E1> &e1,
283 <a name="l00259"></a>00259 <span class="keyword">const</span> matrix_expression<E2> &e2) {
284 <a name="l00260"></a>00260 <span class="keyword">typedef</span> <span class="keyword">typename</span> M::orientation_category orientation_category;
285 <a name="l00261"></a>00261 <span class="keywordflow">return</span> block_prod<M, BS> (e1, e2, orientation_category ());
286 <a name="l00262"></a>00262 }
287 <a name="l00263"></a>00263
288 <a name="l00264"></a>00264 }}}
289 <a name="l00265"></a>00265
290 <a name="l00266"></a>00266 <span class="preprocessor">#endif</span>
292 <hr size="1"/><address style="text-align: right;"><small>Generated on Sun Jul 4 20:30:58 2010 for ublas by
293 <a href="http://www.doxygen.org/index.html">
294 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.6.1 </small></address>
projects / platform / upstream / boost.git / blob