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65<h1>smat.h</h1><a href="smat_8h.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001
66<a name="l00029"></a>00029 <span class="preprocessor">#ifndef SMAT_H</span>
67<a name="l00030"></a>00030 <span class="preprocessor"></span><span class="preprocessor">#define SMAT_H</span>
68<a name="l00031"></a>00031 <span class="preprocessor"></span>
69<a name="l00032"></a>00032 <span class="preprocessor">#ifndef _MSC_VER</span>
70<a name="l00033"></a>00033 <span class="preprocessor"></span><span class="preprocessor">#  include &lt;itpp/config.h&gt;</span>
71<a name="l00034"></a>00034 <span class="preprocessor">#else</span>
72<a name="l00035"></a>00035 <span class="preprocessor"></span><span class="preprocessor">#  include &lt;itpp/config_msvc.h&gt;</span>
73<a name="l00036"></a>00036 <span class="preprocessor">#endif</span>
74<a name="l00037"></a>00037 <span class="preprocessor"></span>
75<a name="l00038"></a>00038 <span class="preprocessor">#include &lt;<a class="code" href="svec_8h.html" title="Sparse Vector Class definitions.">itpp/base/svec.h</a>&gt;</span>
76<a name="l00039"></a>00039
77<a name="l00040"></a>00040
78<a name="l00041"></a>00041 <span class="keyword">namespace </span>itpp
79<a name="l00042"></a>00042 {
80<a name="l00043"></a>00043
81<a name="l00044"></a>00044 <span class="comment">// Declaration of class Vec</span>
82<a name="l00045"></a>00045 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt; <span class="keyword">class </span>Vec;
83<a name="l00046"></a>00046 <span class="comment">// Declaration of class Mat</span>
84<a name="l00047"></a>00047 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt; <span class="keyword">class </span>Mat;
85<a name="l00048"></a>00048 <span class="comment">// Declaration of class Sparse_Vec</span>
86<a name="l00049"></a>00049 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt; <span class="keyword">class </span>Sparse_Vec;
87<a name="l00050"></a>00050 <span class="comment">// Declaration of class Sparse_Mat</span>
88<a name="l00051"></a>00051 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt; <span class="keyword">class </span>Sparse_Mat;
89<a name="l00052"></a>00052
90<a name="l00053"></a>00053 <span class="comment">// ------------------------ Sparse_Mat Friends -------------------------------------</span>
91<a name="l00054"></a>00054
92<a name="l00056"></a>00056 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
93<a name="l00057"></a>00057 Sparse_Mat&lt;T&gt; <a class="code" href="group__fixed.html#g683d6c037357e472e84756fe1b1faae8" title="Fix + cfixmat.">operator+</a>(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m1, <span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m2);
94<a name="l00058"></a>00058
95<a name="l00060"></a>00060 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
96<a name="l00061"></a>00061 Sparse_Mat&lt;T&gt; <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> T &amp;c, <span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m);
97<a name="l00062"></a>00062
98<a name="l00064"></a>00064 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
99<a name="l00065"></a>00065 Sparse_Mat&lt;T&gt; <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m1, <span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m2);
100<a name="l00066"></a>00066
101<a name="l00068"></a>00068 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
102<a name="l00069"></a>00069 Sparse_Vec&lt;T&gt; <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m, <span class="keyword">const</span> Sparse_Vec&lt;T&gt; &amp;v);
103<a name="l00070"></a>00070
104<a name="l00072"></a>00072 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
105<a name="l00073"></a>00073 Vec&lt;T&gt; <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m, <span class="keyword">const</span> Vec&lt;T&gt; &amp;v);
106<a name="l00074"></a>00074
107<a name="l00076"></a>00076 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
108<a name="l00077"></a>00077 Vec&lt;T&gt; <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> Vec&lt;T&gt; &amp;v, <span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m);
109<a name="l00078"></a>00078
110<a name="l00080"></a>00080 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
111<a name="l00081"></a>00081 Mat&lt;T&gt; trans_mult(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m);
112<a name="l00082"></a>00082
113<a name="l00084"></a>00084 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
114<a name="l00085"></a>00085 Sparse_Mat&lt;T&gt; trans_mult_s(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m);
115<a name="l00086"></a>00086
116<a name="l00088"></a>00088 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
117<a name="l00089"></a>00089 Sparse_Mat&lt;T&gt; trans_mult(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m1, <span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m2);
118<a name="l00090"></a>00090
119<a name="l00092"></a>00092 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
120<a name="l00093"></a>00093 Vec&lt;T&gt; trans_mult(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m, <span class="keyword">const</span> Vec&lt;T&gt; &amp;v);
121<a name="l00094"></a>00094
122<a name="l00096"></a>00096 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
123<a name="l00097"></a>00097 Sparse_Mat&lt;T&gt; mult_trans(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m1, <span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m2);
124<a name="l00098"></a>00098
125<a name="l00112"></a>00112 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
126<a name="l00113"></a><a class="code" href="classitpp_1_1Sparse__Mat.html">00113</a> <span class="keyword">class </span><a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat</a>
127<a name="l00114"></a>00114 {
128<a name="l00115"></a>00115 <span class="keyword">public</span>:
129<a name="l00116"></a>00116
130<a name="l00118"></a>00118   <a class="code" href="classitpp_1_1Sparse__Mat.html#bc8361f34d846404fb7b491c94aef595" title="Default constructor.">Sparse_Mat</a>();
131<a name="l00119"></a>00119
132<a name="l00130"></a>00130   <a class="code" href="classitpp_1_1Sparse__Mat.html#bc8361f34d846404fb7b491c94aef595" title="Default constructor.">Sparse_Mat</a>(<span class="keywordtype">int</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#98f82f4aca56a2b8083df057f0c5c359" title="Returns the number of rows of the sparse matrix.">rows</a>, <span class="keywordtype">int</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#18ab90bb7cd0db31722374889e3d74c8" title="Returns the number of columns of the sparse matrix.">cols</a>, <span class="keywordtype">int</span> row_data_init = 200);
133<a name="l00131"></a>00131
134<a name="l00133"></a>00133   <a class="code" href="classitpp_1_1Sparse__Mat.html#bc8361f34d846404fb7b491c94aef595" title="Default constructor.">Sparse_Mat</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m);
135<a name="l00134"></a>00134
136<a name="l00136"></a>00136   <a class="code" href="classitpp_1_1Sparse__Mat.html#bc8361f34d846404fb7b491c94aef595" title="Default constructor.">Sparse_Mat</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;m);
137<a name="l00137"></a>00137
138<a name="l00143"></a>00143   <a class="code" href="classitpp_1_1Sparse__Mat.html#bc8361f34d846404fb7b491c94aef595" title="Default constructor.">Sparse_Mat</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;m, T epsilon);
139<a name="l00144"></a>00144
140<a name="l00146"></a>00146   <a class="code" href="classitpp_1_1Sparse__Mat.html#77cb0033b6f39bd586543769b3a8d50a" title="Destructor.">~Sparse_Mat</a>();
141<a name="l00147"></a>00147
142<a name="l00158"></a>00158   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#bede37fe2203b2bae86c7000c6fa78f4" title="Set the size of the sparse matrix.">set_size</a>(<span class="keywordtype">int</span> rows, <span class="keywordtype">int</span> cols, <span class="keywordtype">int</span> row_data_init = -1);
143<a name="l00159"></a>00159
144<a name="l00161"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#98f82f4aca56a2b8083df057f0c5c359">00161</a>   <span class="keywordtype">int</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#98f82f4aca56a2b8083df057f0c5c359" title="Returns the number of rows of the sparse matrix.">rows</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> n_rows; }
145<a name="l00162"></a>00162
146<a name="l00164"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#18ab90bb7cd0db31722374889e3d74c8">00164</a>   <span class="keywordtype">int</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#18ab90bb7cd0db31722374889e3d74c8" title="Returns the number of columns of the sparse matrix.">cols</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> n_cols; }
147<a name="l00165"></a>00165
148<a name="l00167"></a>00167   <span class="keywordtype">int</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#28166b919565d9e50895569b7204c9c4" title="The number of non-zero elements in the sparse matrix.">nnz</a>();
149<a name="l00168"></a>00168
150<a name="l00170"></a>00170   <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#43589606be7d9563d82fc3355f97c107" title="Returns the density of the sparse matrix: (number of non-zero elements)/(total number...">density</a>();
151<a name="l00171"></a>00171
152<a name="l00173"></a>00173   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#29bf2d6f6a05709a35c156c137226de5" title="Set the maximum number of non-zero elements in each column equal to the actual number...">compact</a>();
153<a name="l00174"></a>00174
154<a name="l00176"></a>00176   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#b3cd8be888ec514a4817770a74fd4948" title="Returns a full, dense matrix.">full</a>(<a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;m) <span class="keyword">const</span>;
155<a name="l00177"></a>00177
156<a name="l00179"></a>00179   <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#b3cd8be888ec514a4817770a74fd4948" title="Returns a full, dense matrix.">full</a>() <span class="keyword">const</span>;
157<a name="l00180"></a>00180
158<a name="l00182"></a>00182   T <a class="code" href="classitpp_1_1Sparse__Mat.html#404ced4fa4a5a8a7a6050851caa312d2" title="Returns element of row r and column c.">operator()</a>(<span class="keywordtype">int</span> r, <span class="keywordtype">int</span> c) <span class="keyword">const</span>;
159<a name="l00183"></a>00183
160<a name="l00185"></a>00185   <span class="keywordtype">void</span> <span class="keyword">set</span>(<span class="keywordtype">int</span> r, <span class="keywordtype">int</span> c, T v);
161<a name="l00186"></a>00186
162<a name="l00188"></a>00188   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#a2d45bc984af880390d434d03afb2c8c" title="Set a new element with index (r, c ) equal to v.">set_new</a>(<span class="keywordtype">int</span> r, <span class="keywordtype">int</span> c, T v);
163<a name="l00189"></a>00189
164<a name="l00191"></a>00191   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#ddb256b1bc9bdf0a57b56c019ab2b1f5" title="Add the element in row r and column c with v.">add_elem</a>(<span class="keyword">const</span> <span class="keywordtype">int</span> r, <span class="keyword">const</span> <span class="keywordtype">int</span> c, <span class="keyword">const</span> T v);
165<a name="l00192"></a>00192
166<a name="l00194"></a>00194   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#4d10d2107caa9f08e2f724bee5e10090" title="Set the sparse matrix to the all zero matrix (removes all non-zero elements).">zeros</a>();
167<a name="l00195"></a>00195
168<a name="l00197"></a>00197   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#597931c72c2ae675c0ecc2522774474d" title="Set the element in row r and column c to zero (i.e. clear that element if it contains...">zero_elem</a>(<span class="keyword">const</span> <span class="keywordtype">int</span> r, <span class="keyword">const</span> <span class="keywordtype">int</span> c);
169<a name="l00198"></a>00198
170<a name="l00200"></a>00200   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#12b5fb55f2b16c350c462ee876ec7ade" title="Clear all non-zero elements of the sparse matrix.">clear</a>();
171<a name="l00201"></a>00201
172<a name="l00203"></a>00203   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#5f9083bb9615a53c6abfce4ca28be21a" title="Clear the element in row r and column c (if it contains a non-zero value).">clear_elem</a>(<span class="keyword">const</span> <span class="keywordtype">int</span> r, <span class="keyword">const</span> <span class="keywordtype">int</span> c);
173<a name="l00204"></a>00204
174<a name="l00206"></a>00206   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#133ec46db675573d8736296ae388ad09" title="Set submatrix defined by rows r1,r2 and columns c1,c2 to matrix m.">set_submatrix</a>(<span class="keywordtype">int</span> r1, <span class="keywordtype">int</span> r2, <span class="keywordtype">int</span> c1, <span class="keywordtype">int</span> c2, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;m);
175<a name="l00207"></a>00207
176<a name="l00209"></a>00209   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#133ec46db675573d8736296ae388ad09" title="Set submatrix defined by rows r1,r2 and columns c1,c2 to matrix m.">set_submatrix</a>(<span class="keywordtype">int</span> r, <span class="keywordtype">int</span> c, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a>&amp; m);
177<a name="l00210"></a>00210
178<a name="l00212"></a>00212   <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#e969584f109b897c04fb85c71ab6fc9a" title="Returns the sub-matrix from rows r1 to r2 and columns c1 to c2.">get_submatrix</a>(<span class="keywordtype">int</span> r1, <span class="keywordtype">int</span> r2, <span class="keywordtype">int</span> c1, <span class="keywordtype">int</span> c2) <span class="keyword">const</span>;
179<a name="l00213"></a>00213
180<a name="l00215"></a>00215   <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#aecf3287d3bb4192eb7555b93d5dfac1" title="Returns the sub-matrix from columns c1 to c2 (all rows).">get_submatrix_cols</a>(<span class="keywordtype">int</span> c1, <span class="keywordtype">int</span> c2) <span class="keyword">const</span>;
181<a name="l00216"></a>00216
182<a name="l00218"></a>00218   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#9b9759f1df3016d2004ee6a0d347d0ca" title="Returns column c of the Sparse_Mat in the Sparse_Vec v.">get_col</a>(<span class="keywordtype">int</span> c, <a class="code" href="classitpp_1_1Sparse__Vec.html" title="Templated sparse vector class.">Sparse_Vec&lt;T&gt;</a> &amp;v) <span class="keyword">const</span>;
183<a name="l00219"></a>00219
184<a name="l00221"></a>00221   <a class="code" href="classitpp_1_1Sparse__Vec.html" title="Templated sparse vector class.">Sparse_Vec&lt;T&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#9b9759f1df3016d2004ee6a0d347d0ca" title="Returns column c of the Sparse_Mat in the Sparse_Vec v.">get_col</a>(<span class="keywordtype">int</span> c) <span class="keyword">const</span>;
185<a name="l00222"></a>00222
186<a name="l00224"></a>00224   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#e15d124adfa11120960ecfd11ad90ef0" title="Set column c of the Sparse_Mat.">set_col</a>(<span class="keywordtype">int</span> c, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Vec.html" title="Templated sparse vector class.">Sparse_Vec&lt;T&gt;</a> &amp;v);
187<a name="l00225"></a>00225
188<a name="l00230"></a>00230   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#da0c107ad90b5445d8cb7c55b48ef8b3">transpose</a>(<a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m) <span class="keyword">const</span>;
189<a name="l00231"></a>00231
190<a name="l00236"></a>00236   <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#da0c107ad90b5445d8cb7c55b48ef8b3">transpose</a>() <span class="keyword">const</span>;
191<a name="l00237"></a>00237
192<a name="l00242"></a>00242   <span class="comment">// Sparse_Mat&lt;T&gt; T() const { return this-&gt;transpose(); };</span>
193<a name="l00243"></a>00243
194<a name="l00245"></a>00245   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#cf3ddc3a3af57157e51c00b3d6e423ce" title="Assign sparse matrix the value and dimensions of the sparse matrix m.">operator=</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m);
195<a name="l00246"></a>00246
196<a name="l00248"></a>00248   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#cf3ddc3a3af57157e51c00b3d6e423ce" title="Assign sparse matrix the value and dimensions of the sparse matrix m.">operator=</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;m);
197<a name="l00249"></a>00249
198<a name="l00251"></a>00251   <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#1eb8891a51aa9c69fadcb8ab623c5d36" title="Returns the sign inverse of all elements in the sparse matrix.">operator-</a>() <span class="keyword">const</span>;
199<a name="l00252"></a>00252
200<a name="l00254"></a>00254   <span class="keywordtype">bool</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#ee53a24c0f6be2927b512b64fadd650b" title="Compare two sparse matricies. False if wrong sizes or different values.">operator==</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m) <span class="keyword">const</span>;
201<a name="l00255"></a>00255
202<a name="l00257"></a>00257   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#901025d686820e6e2379701fcc4786fc" title="Add sparse matrix v to all non-zero elements of the sparse matrix.">operator+=</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;v);
203<a name="l00258"></a>00258
204<a name="l00260"></a>00260   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#901025d686820e6e2379701fcc4786fc" title="Add sparse matrix v to all non-zero elements of the sparse matrix.">operator+=</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;v);
205<a name="l00261"></a>00261
206<a name="l00263"></a>00263   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#9f42dce24f97723ed307eb2d2988de57" title="Subtract sparse matrix v from all non-zero elements of the sparse matrix.">operator-=</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;v);
207<a name="l00264"></a>00264
208<a name="l00266"></a>00266   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#9f42dce24f97723ed307eb2d2988de57" title="Subtract sparse matrix v from all non-zero elements of the sparse matrix.">operator-=</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;v);
209<a name="l00267"></a>00267
210<a name="l00269"></a>00269   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#f209ca65dde352cc53fa7b0db747d698" title="Multiply all non-zero elements of the sparse matrix with the scalar v.">operator*=</a>(<span class="keyword">const</span> T &amp;v);
211<a name="l00270"></a>00270
212<a name="l00272"></a>00272   <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#5962d40e4865536207f2ae9c204d9796" title="Divide all non-zero elements of the sparse matrix with the scalar v.">operator/=</a>(<span class="keyword">const</span> T &amp;v);
213<a name="l00273"></a>00273
214<a name="l00275"></a>00275   <span class="keyword">friend</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> operator+&lt;&gt;(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m1, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m2);
215<a name="l00276"></a>00276
216<a name="l00278"></a>00278   <span class="keyword">friend</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> operator*&lt;&gt;(<span class="keyword">const</span> T &amp;c, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m);
217<a name="l00279"></a>00279
218<a name="l00281"></a>00281   <span class="keyword">friend</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> operator*&lt;&gt;(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m1, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m2);
219<a name="l00282"></a>00282
220<a name="l00284"></a>00284   <span class="keyword">friend</span> <a class="code" href="classitpp_1_1Sparse__Vec.html" title="Templated sparse vector class.">Sparse_Vec&lt;T&gt;</a> operator*&lt;&gt;(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Vec.html" title="Templated sparse vector class.">Sparse_Vec&lt;T&gt;</a> &amp;v);
221<a name="l00285"></a>00285
222<a name="l00287"></a>00287   <span class="keyword">friend</span> <a class="code" href="classitpp_1_1Vec.html">Vec&lt;T&gt;</a> operator*&lt;&gt;(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Vec.html">Vec&lt;T&gt;</a> &amp;v);
223<a name="l00288"></a>00288
224<a name="l00290"></a>00290   <span class="keyword">friend</span> <a class="code" href="classitpp_1_1Vec.html">Vec&lt;T&gt;</a> operator*&lt;&gt;(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Vec.html">Vec&lt;T&gt;</a> &amp;v, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m);
225<a name="l00291"></a>00291
226<a name="l00293"></a>00293   <span class="keyword">friend</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> trans_mult &lt;&gt;(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m);
227<a name="l00294"></a>00294
228<a name="l00296"></a>00296   <span class="keyword">friend</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> trans_mult_s &lt;&gt;(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m);
229<a name="l00297"></a>00297
230<a name="l00299"></a>00299   <span class="keyword">friend</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> trans_mult &lt;&gt;(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m1, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m2);
231<a name="l00300"></a>00300
232<a name="l00302"></a>00302   <span class="keyword">friend</span> <a class="code" href="classitpp_1_1Vec.html">Vec&lt;T&gt;</a> trans_mult &lt;&gt;(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Vec.html">Vec&lt;T&gt;</a> &amp;v);
233<a name="l00303"></a>00303
234<a name="l00305"></a>00305   <span class="keyword">friend</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> mult_trans &lt;&gt;(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m1, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m2);
235<a name="l00306"></a>00306
236<a name="l00307"></a>00307 <span class="keyword">private</span>:
237<a name="l00308"></a>00308   <span class="keywordtype">void</span> init();
238<a name="l00309"></a>00309   <span class="keywordtype">void</span> alloc_empty();
239<a name="l00310"></a>00310   <span class="keywordtype">void</span> alloc(<span class="keywordtype">int</span> row_data_size = 200);
240<a name="l00311"></a>00311   <span class="keywordtype">void</span> free();
241<a name="l00312"></a>00312
242<a name="l00313"></a>00313   <span class="keywordtype">int</span> n_rows, n_cols;
243<a name="l00314"></a>00314   <a class="code" href="classitpp_1_1Sparse__Vec.html" title="Templated sparse vector class.">Sparse_Vec&lt;T&gt;</a> *col;
244<a name="l00315"></a>00315 };
245<a name="l00316"></a>00316
246<a name="l00321"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#781278e3d947fb084c54e568110c09d6">00321</a> <span class="keyword">typedef</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;int&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">sparse_imat</a>;
247<a name="l00322"></a>00322
248<a name="l00327"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#8575a5d0dd547034677dc41da3f85138">00327</a> <span class="keyword">typedef</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;double&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">sparse_mat</a>;
249<a name="l00328"></a>00328
250<a name="l00333"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#1cc7ca3875e7da48495a7d67b14ea716">00333</a> <span class="keyword">typedef</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;std::complex&lt;double&gt;</a> &gt; <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">sparse_cmat</a>;
251<a name="l00334"></a>00334
252<a name="l00335"></a>00335 <span class="comment">//---------------------- Implementation starts here --------------------------------</span>
253<a name="l00336"></a>00336
254<a name="l00337"></a>00337 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
255<a name="l00338"></a>00338 <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;::init</a>()
256<a name="l00339"></a>00339 {
257<a name="l00340"></a>00340   n_rows = 0;
258<a name="l00341"></a>00341   n_cols = 0;
259<a name="l00342"></a>00342   col = 0;
260<a name="l00343"></a>00343 }
261<a name="l00344"></a>00344
262<a name="l00345"></a>00345 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
263<a name="l00346"></a>00346 <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;::alloc_empty</a>()
264<a name="l00347"></a>00347 {
265<a name="l00348"></a>00348   <span class="keywordflow">if</span> (n_cols == 0)
266<a name="l00349"></a>00349     col = 0;
267<a name="l00350"></a>00350   <span class="keywordflow">else</span>
268<a name="l00351"></a>00351     col = <span class="keyword">new</span> <a class="code" href="classitpp_1_1Sparse__Vec.html" title="Templated sparse vector class.">Sparse_Vec&lt;T&gt;</a>[n_cols];
269<a name="l00352"></a>00352 }
270<a name="l00353"></a>00353
271<a name="l00354"></a>00354 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
272<a name="l00355"></a>00355 <span class="keywordtype">void</span> Sparse_Mat&lt;T&gt;::alloc(<span class="keywordtype">int</span> row_data_init)
273<a name="l00356"></a>00356 {
274<a name="l00357"></a>00357   <span class="keywordflow">if</span> (n_cols == 0)
275<a name="l00358"></a>00358     col = 0;
276<a name="l00359"></a>00359   <span class="keywordflow">else</span>
277<a name="l00360"></a>00360     col = <span class="keyword">new</span> Sparse_Vec&lt;T&gt;[n_cols];
278<a name="l00361"></a>00361   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++)
279<a name="l00362"></a>00362     col[c].set_size(n_rows, row_data_init);
280<a name="l00363"></a>00363 }
281<a name="l00364"></a>00364
282<a name="l00365"></a>00365 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
283<a name="l00366"></a>00366 <span class="keywordtype">void</span> Sparse_Mat&lt;T&gt;::free()
284<a name="l00367"></a>00367 {
285<a name="l00368"></a>00368   <span class="keyword">delete</span> [] col;
286<a name="l00369"></a>00369   col = 0;
287<a name="l00370"></a>00370 }
288<a name="l00371"></a>00371
289<a name="l00372"></a>00372 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
290<a name="l00373"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#bc8361f34d846404fb7b491c94aef595">00373</a> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;::Sparse_Mat</a>()
291<a name="l00374"></a>00374 {
292<a name="l00375"></a>00375   init();
293<a name="l00376"></a>00376 }
294<a name="l00377"></a>00377
295<a name="l00378"></a>00378 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
296<a name="l00379"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#721a28a89f8082a9c753a9dfcd0b24ed">00379</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#bc8361f34d846404fb7b491c94aef595" title="Default constructor.">Sparse_Mat&lt;T&gt;::Sparse_Mat</a>(<span class="keywordtype">int</span> rows, <span class="keywordtype">int</span> cols, <span class="keywordtype">int</span> row_data_init)
297<a name="l00380"></a>00380 {
298<a name="l00381"></a>00381   init();
299<a name="l00382"></a>00382   n_rows = rows;
300<a name="l00383"></a>00383   n_cols = cols;
301<a name="l00384"></a>00384   alloc(row_data_init);
302<a name="l00385"></a>00385 }
303<a name="l00386"></a>00386
304<a name="l00387"></a>00387 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
305<a name="l00388"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#b9c06a886adcb6c4cb97b2a7710152b9">00388</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#bc8361f34d846404fb7b491c94aef595" title="Default constructor.">Sparse_Mat&lt;T&gt;::Sparse_Mat</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m)
306<a name="l00389"></a>00389 {
307<a name="l00390"></a>00390   init();
308<a name="l00391"></a>00391   n_rows = m.<a class="code" href="classitpp_1_1Sparse__Mat.html#fc7d597baedd923717429e33be26ff1c">n_rows</a>;
309<a name="l00392"></a>00392   n_cols = m.<a class="code" href="classitpp_1_1Sparse__Mat.html#4ad4ff37dc3c118af1882a76d0c472c3">n_cols</a>;
310<a name="l00393"></a>00393   alloc_empty();
311<a name="l00394"></a>00394
312<a name="l00395"></a>00395   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++)
313<a name="l00396"></a>00396     col[c] = m.<a class="code" href="classitpp_1_1Sparse__Mat.html#a083ae3ef8a3895e8da0a6e52418e982">col</a>[c];
314<a name="l00397"></a>00397 }
315<a name="l00398"></a>00398
316<a name="l00399"></a>00399 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
317<a name="l00400"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#18f755291e07f729eafb09d207984d50">00400</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#bc8361f34d846404fb7b491c94aef595" title="Default constructor.">Sparse_Mat&lt;T&gt;::Sparse_Mat</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;m)
318<a name="l00401"></a>00401 {
319<a name="l00402"></a>00402   init();
320<a name="l00403"></a>00403   n_rows = m.<a class="code" href="classitpp_1_1Mat.html#f3028609c01e08fb07c5bf0bcd4c4e03" title="The number of rows.">rows</a>();
321<a name="l00404"></a>00404   n_cols = m.<a class="code" href="classitpp_1_1Mat.html#49680ef454d1d75b737e3ce157f1ac7b" title="The number of columns.">cols</a>();
322<a name="l00405"></a>00405   alloc();
323<a name="l00406"></a>00406
324<a name="l00407"></a>00407   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++) {
325<a name="l00408"></a>00408     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> r = 0; r &lt; n_rows; r++) {
326<a name="l00409"></a>00409       <span class="comment">//if (abs(m(r,c)) != T(0))</span>
327<a name="l00410"></a>00410       <span class="keywordflow">if</span> (m(r, c) != T(0))
328<a name="l00411"></a>00411         col[c].set_new(r, m(r, c));
329<a name="l00412"></a>00412     }
330<a name="l00413"></a>00413     col[c].compact();
331<a name="l00414"></a>00414   }
332<a name="l00415"></a>00415 }
333<a name="l00416"></a>00416
334<a name="l00417"></a>00417 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
335<a name="l00418"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#922d170164eeaa595b17c7962931a073">00418</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#bc8361f34d846404fb7b491c94aef595" title="Default constructor.">Sparse_Mat&lt;T&gt;::Sparse_Mat</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;m, T epsilon)
336<a name="l00419"></a>00419 {
337<a name="l00420"></a>00420   init();
338<a name="l00421"></a>00421   n_rows = m.<a class="code" href="classitpp_1_1Mat.html#f3028609c01e08fb07c5bf0bcd4c4e03" title="The number of rows.">rows</a>();
339<a name="l00422"></a>00422   n_cols = m.<a class="code" href="classitpp_1_1Mat.html#49680ef454d1d75b737e3ce157f1ac7b" title="The number of columns.">cols</a>();
340<a name="l00423"></a>00423   alloc();
341<a name="l00424"></a>00424
342<a name="l00425"></a>00425   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++) {
343<a name="l00426"></a>00426     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> r = 0; r &lt; n_rows; r++) {
344<a name="l00427"></a>00427       <span class="keywordflow">if</span> (<a class="code" href="group__fixed.html#ge0a38d51b2bf99a0ba07f2f8885e6adc" title="Absolute value.">std::abs</a>(m(r, c)) &gt; <a class="code" href="group__fixed.html#ge0a38d51b2bf99a0ba07f2f8885e6adc" title="Absolute value.">std::abs</a>(epsilon))
345<a name="l00428"></a>00428         col[c].set_new(r, m(r, c));
346<a name="l00429"></a>00429     }
347<a name="l00430"></a>00430     col[c].compact();
348<a name="l00431"></a>00431   }
349<a name="l00432"></a>00432 }
350<a name="l00433"></a>00433
351<a name="l00434"></a>00434 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
352<a name="l00435"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#77cb0033b6f39bd586543769b3a8d50a">00435</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#77cb0033b6f39bd586543769b3a8d50a" title="Destructor.">Sparse_Mat&lt;T&gt;::~Sparse_Mat</a>()
353<a name="l00436"></a>00436 {
354<a name="l00437"></a>00437   free();
355<a name="l00438"></a>00438 }
356<a name="l00439"></a>00439
357<a name="l00440"></a>00440 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
358<a name="l00441"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#bede37fe2203b2bae86c7000c6fa78f4">00441</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#bede37fe2203b2bae86c7000c6fa78f4" title="Set the size of the sparse matrix.">Sparse_Mat&lt;T&gt;::set_size</a>(<span class="keywordtype">int</span> rows, <span class="keywordtype">int</span> cols, <span class="keywordtype">int</span> row_data_init)
359<a name="l00442"></a>00442 {
360<a name="l00443"></a>00443   n_rows = rows;
361<a name="l00444"></a>00444
362<a name="l00445"></a>00445   <span class="comment">//Allocate new memory for data if the number of columns has changed or if row_data_init != -1</span>
363<a name="l00446"></a>00446   <span class="keywordflow">if</span> (cols != n_cols || row_data_init != -1) {
364<a name="l00447"></a>00447     n_cols = cols;
365<a name="l00448"></a>00448     free();
366<a name="l00449"></a>00449     alloc(row_data_init);
367<a name="l00450"></a>00450   }
368<a name="l00451"></a>00451 }
369<a name="l00452"></a>00452
370<a name="l00453"></a>00453 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
371<a name="l00454"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#28166b919565d9e50895569b7204c9c4">00454</a> <span class="keywordtype">int</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#28166b919565d9e50895569b7204c9c4" title="The number of non-zero elements in the sparse matrix.">Sparse_Mat&lt;T&gt;::nnz</a>()
372<a name="l00455"></a>00455 {
373<a name="l00456"></a>00456   <span class="keywordtype">int</span> n = 0;
374<a name="l00457"></a>00457   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++)
375<a name="l00458"></a>00458     n += col[c].<a class="code" href="classitpp_1_1Sparse__Mat.html#28166b919565d9e50895569b7204c9c4" title="The number of non-zero elements in the sparse matrix.">nnz</a>();
376<a name="l00459"></a>00459
377<a name="l00460"></a>00460   <span class="keywordflow">return</span> n;
378<a name="l00461"></a>00461 }
379<a name="l00462"></a>00462
380<a name="l00463"></a>00463 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
381<a name="l00464"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#43589606be7d9563d82fc3355f97c107">00464</a> <span class="keywordtype">double</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#43589606be7d9563d82fc3355f97c107" title="Returns the density of the sparse matrix: (number of non-zero elements)/(total number...">Sparse_Mat&lt;T&gt;::density</a>()
382<a name="l00465"></a>00465 {
383<a name="l00466"></a>00466   <span class="comment">//return static_cast&lt;double&gt;(nnz())/(n_rows*n_cols);</span>
384<a name="l00467"></a>00467   <span class="keywordflow">return</span> double(<a class="code" href="classitpp_1_1Sparse__Mat.html#28166b919565d9e50895569b7204c9c4" title="The number of non-zero elements in the sparse matrix.">nnz</a>()) / (n_rows*n_cols);
385<a name="l00468"></a>00468 }
386<a name="l00469"></a>00469
387<a name="l00470"></a>00470 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
388<a name="l00471"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#29bf2d6f6a05709a35c156c137226de5">00471</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#29bf2d6f6a05709a35c156c137226de5" title="Set the maximum number of non-zero elements in each column equal to the actual number...">Sparse_Mat&lt;T&gt;::compact</a>()
389<a name="l00472"></a>00472 {
390<a name="l00473"></a>00473   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++)
391<a name="l00474"></a>00474     col[c].<a class="code" href="classitpp_1_1Sparse__Mat.html#29bf2d6f6a05709a35c156c137226de5" title="Set the maximum number of non-zero elements in each column equal to the actual number...">compact</a>();
392<a name="l00475"></a>00475 }
393<a name="l00476"></a>00476
394<a name="l00477"></a>00477 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
395<a name="l00478"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#d4b0d7f6c49a884e048c62f1c81bb7a9">00478</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#b3cd8be888ec514a4817770a74fd4948" title="Returns a full, dense matrix.">Sparse_Mat&lt;T&gt;::full</a>(<a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;m)<span class="keyword"> const</span>
396<a name="l00479"></a>00479 <span class="keyword"></span>{
397<a name="l00480"></a>00480   m.<a class="code" href="classitpp_1_1Mat.html#1136d376109f2af8843593bccf9de88f" title="Set size of matrix. If copy = true then keep the data before resizing.">set_size</a>(n_rows, n_cols);
398<a name="l00481"></a>00481   m = T(0);
399<a name="l00482"></a>00482   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++) {
400<a name="l00483"></a>00483     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> p = 0; p &lt; col[c].nnz(); p++)
401<a name="l00484"></a>00484       m(col[c].get_nz_index(p), c) = col[c].get_nz_data(p);
402<a name="l00485"></a>00485   }
403<a name="l00486"></a>00486 }
404<a name="l00487"></a>00487
405<a name="l00488"></a>00488 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
406<a name="l00489"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#b3cd8be888ec514a4817770a74fd4948">00489</a> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#b3cd8be888ec514a4817770a74fd4948" title="Returns a full, dense matrix.">Sparse_Mat&lt;T&gt;::full</a>()<span class="keyword"> const</span>
407<a name="l00490"></a>00490 <span class="keyword"></span>{
408<a name="l00491"></a>00491   <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> r(n_rows, n_cols);
409<a name="l00492"></a>00492   <a class="code" href="classitpp_1_1Sparse__Mat.html#b3cd8be888ec514a4817770a74fd4948" title="Returns a full, dense matrix.">full</a>(r);
410<a name="l00493"></a>00493   <span class="keywordflow">return</span> r;
411<a name="l00494"></a>00494 }
412<a name="l00495"></a>00495
413<a name="l00496"></a>00496 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
414<a name="l00497"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#404ced4fa4a5a8a7a6050851caa312d2">00497</a> T <a class="code" href="classitpp_1_1Sparse__Mat.html#404ced4fa4a5a8a7a6050851caa312d2" title="Returns element of row r and column c.">Sparse_Mat&lt;T&gt;::operator()</a>(<span class="keywordtype">int</span> r, <span class="keywordtype">int</span> c)<span class="keyword"> const</span>
415<a name="l00498"></a>00498 <span class="keyword"></span>{
416<a name="l00499"></a>00499   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(r &gt;= 0 &amp;&amp; r&lt;n_rows &amp;&amp; c &gt;= 0 &amp;&amp; c &lt; n_cols, <span class="stringliteral">"Incorrect input indexes given"</span>);
417<a name="l00500"></a>00500   <span class="keywordflow">return</span> col[c](r);
418<a name="l00501"></a>00501 }
419<a name="l00502"></a>00502
420<a name="l00503"></a>00503 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
421<a name="l00504"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#2e2d250f37e9795b516b1ce3fe28e2fa">00504</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#2e2d250f37e9795b516b1ce3fe28e2fa" title="Set element (r, c ) equal to v.">Sparse_Mat&lt;T&gt;::set</a>(<span class="keywordtype">int</span> r, <span class="keywordtype">int</span> c, T v)
422<a name="l00505"></a>00505 {
423<a name="l00506"></a>00506   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(r &gt;= 0 &amp;&amp; r&lt;n_rows &amp;&amp; c &gt;= 0 &amp;&amp; c &lt; n_cols, <span class="stringliteral">"Incorrect input indexes given"</span>);
424<a name="l00507"></a>00507   col[c].set(r, v);
425<a name="l00508"></a>00508 }
426<a name="l00509"></a>00509
427<a name="l00510"></a>00510 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
428<a name="l00511"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#a2d45bc984af880390d434d03afb2c8c">00511</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#a2d45bc984af880390d434d03afb2c8c" title="Set a new element with index (r, c ) equal to v.">Sparse_Mat&lt;T&gt;::set_new</a>(<span class="keywordtype">int</span> r, <span class="keywordtype">int</span> c, T v)
429<a name="l00512"></a>00512 {
430<a name="l00513"></a>00513   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(r &gt;= 0 &amp;&amp; r&lt;n_rows &amp;&amp; c &gt;= 0 &amp;&amp; c &lt; n_cols, <span class="stringliteral">"Incorrect input indexes given"</span>);
431<a name="l00514"></a>00514   col[c].set_new(r, v);
432<a name="l00515"></a>00515 }
433<a name="l00516"></a>00516
434<a name="l00517"></a>00517 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
435<a name="l00518"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#ddb256b1bc9bdf0a57b56c019ab2b1f5">00518</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#ddb256b1bc9bdf0a57b56c019ab2b1f5" title="Add the element in row r and column c with v.">Sparse_Mat&lt;T&gt;::add_elem</a>(<span class="keywordtype">int</span> r, <span class="keywordtype">int</span> c, T v)
436<a name="l00519"></a>00519 {
437<a name="l00520"></a>00520   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(r &gt;= 0 &amp;&amp; r&lt;n_rows &amp;&amp; c &gt;= 0 &amp;&amp; c &lt; n_cols, <span class="stringliteral">"Incorrect input indexes given"</span>);
438<a name="l00521"></a>00521   col[c].add_elem(r, v);
439<a name="l00522"></a>00522 }
440<a name="l00523"></a>00523
441<a name="l00524"></a>00524 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
442<a name="l00525"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#4d10d2107caa9f08e2f724bee5e10090">00525</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#4d10d2107caa9f08e2f724bee5e10090" title="Set the sparse matrix to the all zero matrix (removes all non-zero elements).">Sparse_Mat&lt;T&gt;::zeros</a>()
443<a name="l00526"></a>00526 {
444<a name="l00527"></a>00527   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++)
445<a name="l00528"></a>00528     col[c].<a class="code" href="classitpp_1_1Sparse__Mat.html#4d10d2107caa9f08e2f724bee5e10090" title="Set the sparse matrix to the all zero matrix (removes all non-zero elements).">zeros</a>();
446<a name="l00529"></a>00529 }
447<a name="l00530"></a>00530
448<a name="l00531"></a>00531 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
449<a name="l00532"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#597931c72c2ae675c0ecc2522774474d">00532</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#597931c72c2ae675c0ecc2522774474d" title="Set the element in row r and column c to zero (i.e. clear that element if it contains...">Sparse_Mat&lt;T&gt;::zero_elem</a>(<span class="keyword">const</span> <span class="keywordtype">int</span> r, <span class="keyword">const</span> <span class="keywordtype">int</span> c)
450<a name="l00533"></a>00533 {
451<a name="l00534"></a>00534   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(r &gt;= 0 &amp;&amp; r&lt;n_rows &amp;&amp; c &gt;= 0 &amp;&amp; c &lt; n_cols, <span class="stringliteral">"Incorrect input indexes given"</span>);
452<a name="l00535"></a>00535   col[c].zero_elem(r);
453<a name="l00536"></a>00536 }
454<a name="l00537"></a>00537
455<a name="l00538"></a>00538 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
456<a name="l00539"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#12b5fb55f2b16c350c462ee876ec7ade">00539</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#12b5fb55f2b16c350c462ee876ec7ade" title="Clear all non-zero elements of the sparse matrix.">Sparse_Mat&lt;T&gt;::clear</a>()
457<a name="l00540"></a>00540 {
458<a name="l00541"></a>00541   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++)
459<a name="l00542"></a>00542     col[c].<a class="code" href="classitpp_1_1Sparse__Mat.html#12b5fb55f2b16c350c462ee876ec7ade" title="Clear all non-zero elements of the sparse matrix.">clear</a>();
460<a name="l00543"></a>00543 }
461<a name="l00544"></a>00544
462<a name="l00545"></a>00545 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
463<a name="l00546"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#5f9083bb9615a53c6abfce4ca28be21a">00546</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#5f9083bb9615a53c6abfce4ca28be21a" title="Clear the element in row r and column c (if it contains a non-zero value).">Sparse_Mat&lt;T&gt;::clear_elem</a>(<span class="keyword">const</span> <span class="keywordtype">int</span> r, <span class="keyword">const</span> <span class="keywordtype">int</span> c)
464<a name="l00547"></a>00547 {
465<a name="l00548"></a>00548   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(r &gt;= 0 &amp;&amp; r&lt;n_rows &amp;&amp; c &gt;= 0 &amp;&amp; c &lt; n_cols, <span class="stringliteral">"Incorrect input indexes given"</span>);
466<a name="l00549"></a>00549   col[c].clear_elem(r);
467<a name="l00550"></a>00550 }
468<a name="l00551"></a>00551
469<a name="l00552"></a>00552 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
470<a name="l00553"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#133ec46db675573d8736296ae388ad09">00553</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#133ec46db675573d8736296ae388ad09" title="Set submatrix defined by rows r1,r2 and columns c1,c2 to matrix m.">Sparse_Mat&lt;T&gt;::set_submatrix</a>(<span class="keywordtype">int</span> r1, <span class="keywordtype">int</span> r2, <span class="keywordtype">int</span> c1, <span class="keywordtype">int</span> c2, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a>&amp; m)
471<a name="l00554"></a>00554 {
472<a name="l00555"></a>00555   <span class="keywordflow">if</span> (r1 == -1) r1 = n_rows - 1;
473<a name="l00556"></a>00556   <span class="keywordflow">if</span> (r2 == -1) r2 = n_rows - 1;
474<a name="l00557"></a>00557   <span class="keywordflow">if</span> (c1 == -1) c1 = n_cols - 1;
475<a name="l00558"></a>00558   <span class="keywordflow">if</span> (c2 == -1) c2 = n_cols - 1;
476<a name="l00559"></a>00559
477<a name="l00560"></a>00560   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(r1 &gt;= 0 &amp;&amp; r2 &gt;= 0 &amp;&amp; r1 &lt; n_rows &amp;&amp; r2 &lt; n_rows &amp;&amp;
478<a name="l00561"></a>00561                   c1 &gt;= 0 &amp;&amp; c2 &gt;= 0 &amp;&amp; c1 &lt; n_cols &amp;&amp; c2 &lt; n_cols, <span class="stringliteral">"Sparse_Mat&lt;Num_T&gt;::set_submatrix(): index out of range"</span>);
479<a name="l00562"></a>00562
480<a name="l00563"></a>00563   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(r2 &gt;= r1 &amp;&amp; c2 &gt;= c1, <span class="stringliteral">"Sparse_Mat&lt;Num_T&gt;::set_submatrix: r2&lt;r1 or c2&lt;c1"</span>);
481<a name="l00564"></a>00564   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(m.<a class="code" href="classitpp_1_1Mat.html#f3028609c01e08fb07c5bf0bcd4c4e03" title="The number of rows.">rows</a>() == r2 - r1 + 1 &amp;&amp; m.<a class="code" href="classitpp_1_1Mat.html#49680ef454d1d75b737e3ce157f1ac7b" title="The number of columns.">cols</a>() == c2 - c1 + 1, <span class="stringliteral">"Mat&lt;Num_T&gt;::set_submatrix(): sizes don't match"</span>);
482<a name="l00565"></a>00565
483<a name="l00566"></a>00566   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0 ; i &lt; m.<a class="code" href="classitpp_1_1Mat.html#f3028609c01e08fb07c5bf0bcd4c4e03" title="The number of rows.">rows</a>() ; i++) {
484<a name="l00567"></a>00567     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0 ; j &lt; m.<a class="code" href="classitpp_1_1Mat.html#49680ef454d1d75b737e3ce157f1ac7b" title="The number of columns.">cols</a>() ; j++) {
485<a name="l00568"></a>00568       <span class="keyword">set</span>(r1 + i, c1 + j, m(i, j));
486<a name="l00569"></a>00569     }
487<a name="l00570"></a>00570   }
488<a name="l00571"></a>00571 }
489<a name="l00572"></a>00572
490<a name="l00573"></a>00573 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
491<a name="l00574"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#02715ff681128d656bcb661573633b91">00574</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#133ec46db675573d8736296ae388ad09" title="Set submatrix defined by rows r1,r2 and columns c1,c2 to matrix m.">Sparse_Mat&lt;T&gt;::set_submatrix</a>(<span class="keywordtype">int</span> r, <span class="keywordtype">int</span> c, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a>&amp; m)
492<a name="l00575"></a>00575 {
493<a name="l00576"></a>00576   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(r &gt;= 0 &amp;&amp; r + m.<a class="code" href="classitpp_1_1Mat.html#f3028609c01e08fb07c5bf0bcd4c4e03" title="The number of rows.">rows</a>() &lt;= n_rows &amp;&amp;
494<a name="l00577"></a>00577                   c &gt;= 0 &amp;&amp; c + m.<a class="code" href="classitpp_1_1Mat.html#49680ef454d1d75b737e3ce157f1ac7b" title="The number of columns.">cols</a>() &lt;= n_cols, <span class="stringliteral">"Sparse_Mat&lt;Num_T&gt;::set_submatrix(): index out of range"</span>);
495<a name="l00578"></a>00578
496<a name="l00579"></a>00579   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0 ; i &lt; m.<a class="code" href="classitpp_1_1Mat.html#f3028609c01e08fb07c5bf0bcd4c4e03" title="The number of rows.">rows</a>() ; i++) {
497<a name="l00580"></a>00580     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0 ; j &lt; m.<a class="code" href="classitpp_1_1Mat.html#49680ef454d1d75b737e3ce157f1ac7b" title="The number of columns.">cols</a>() ; j++) {
498<a name="l00581"></a>00581       <span class="keyword">set</span>(r + i, c + j, m(i, j));
499<a name="l00582"></a>00582     }
500<a name="l00583"></a>00583   }
501<a name="l00584"></a>00584 }
502<a name="l00585"></a>00585
503<a name="l00586"></a>00586 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
504<a name="l00587"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#e969584f109b897c04fb85c71ab6fc9a">00587</a> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#e969584f109b897c04fb85c71ab6fc9a" title="Returns the sub-matrix from rows r1 to r2 and columns c1 to c2.">Sparse_Mat&lt;T&gt;::get_submatrix</a>(<span class="keywordtype">int</span> r1, <span class="keywordtype">int</span> r2, <span class="keywordtype">int</span> c1, <span class="keywordtype">int</span> c2)<span class="keyword"> const</span>
505<a name="l00588"></a>00588 <span class="keyword"></span>{
506<a name="l00589"></a>00589   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(r1 &lt;= r2 &amp;&amp; r1 &gt;= 0 &amp;&amp; r1 &lt; n_rows &amp;&amp; c1 &lt;= c2 &amp;&amp; c1 &gt;= 0 &amp;&amp; c1 &lt; n_cols,
507<a name="l00590"></a>00590                   <span class="stringliteral">"Sparse_Mat&lt;T&gt;::get_submatrix(): illegal input variables"</span>);
508<a name="l00591"></a>00591
509<a name="l00592"></a>00592   <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> r(r2 - r1 + 1, c2 - c1 + 1);
510<a name="l00593"></a>00593
511<a name="l00594"></a>00594   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = c1; c &lt;= c2; c++)
512<a name="l00595"></a>00595     r.<a class="code" href="classitpp_1_1Sparse__Mat.html#a083ae3ef8a3895e8da0a6e52418e982">col</a>[c-c1] = col[c].get_subvector(r1, r2);
513<a name="l00596"></a>00596   r.<a class="code" href="classitpp_1_1Sparse__Mat.html#29bf2d6f6a05709a35c156c137226de5" title="Set the maximum number of non-zero elements in each column equal to the actual number...">compact</a>();
514<a name="l00597"></a>00597
515<a name="l00598"></a>00598   <span class="keywordflow">return</span> r;
516<a name="l00599"></a>00599 }
517<a name="l00600"></a>00600
518<a name="l00601"></a>00601 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
519<a name="l00602"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#aecf3287d3bb4192eb7555b93d5dfac1">00602</a> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#aecf3287d3bb4192eb7555b93d5dfac1" title="Returns the sub-matrix from columns c1 to c2 (all rows).">Sparse_Mat&lt;T&gt;::get_submatrix_cols</a>(<span class="keywordtype">int</span> c1, <span class="keywordtype">int</span> c2)<span class="keyword"> const</span>
520<a name="l00603"></a>00603 <span class="keyword"></span>{
521<a name="l00604"></a>00604   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(c1 &lt;= c2 &amp;&amp; c1 &gt;= 0 &amp;&amp; c1 &lt; n_cols, <span class="stringliteral">"Sparse_Mat&lt;T&gt;::get_submatrix_cols()"</span>);
522<a name="l00605"></a>00605   <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> r(n_rows, c2 - c1 + 1, 0);
523<a name="l00606"></a>00606
524<a name="l00607"></a>00607   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = c1; c &lt;= c2; c++)
525<a name="l00608"></a>00608     r.<a class="code" href="classitpp_1_1Sparse__Mat.html#a083ae3ef8a3895e8da0a6e52418e982">col</a>[c-c1] = col[c];
526<a name="l00609"></a>00609   r.<a class="code" href="classitpp_1_1Sparse__Mat.html#29bf2d6f6a05709a35c156c137226de5" title="Set the maximum number of non-zero elements in each column equal to the actual number...">compact</a>();
527<a name="l00610"></a>00610
528<a name="l00611"></a>00611   <span class="keywordflow">return</span> r;
529<a name="l00612"></a>00612 }
530<a name="l00613"></a>00613
531<a name="l00614"></a>00614 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
532<a name="l00615"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#9b9759f1df3016d2004ee6a0d347d0ca">00615</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#9b9759f1df3016d2004ee6a0d347d0ca" title="Returns column c of the Sparse_Mat in the Sparse_Vec v.">Sparse_Mat&lt;T&gt;::get_col</a>(<span class="keywordtype">int</span> c, <a class="code" href="classitpp_1_1Sparse__Vec.html" title="Templated sparse vector class.">Sparse_Vec&lt;T&gt;</a> &amp;v)<span class="keyword"> const</span>
533<a name="l00616"></a>00616 <span class="keyword"></span>{
534<a name="l00617"></a>00617   <a class="code" href="group__errorhandlingfunc.html#gd5c34b291e5018534fd2344486e2b5a1" title="Abort if t is not true.">it_assert</a>(c &gt;= 0 &amp;&amp; c &lt; n_cols, <span class="stringliteral">"Sparse_Mat&lt;T&gt;::get_col()"</span>);
535<a name="l00618"></a>00618   v = col[c];
536<a name="l00619"></a>00619 }
537<a name="l00620"></a>00620
538<a name="l00621"></a>00621 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
539<a name="l00622"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#422dbcfed4a9aaad5b4a590e4bd427ff">00622</a> <a class="code" href="classitpp_1_1Sparse__Vec.html" title="Templated sparse vector class.">Sparse_Vec&lt;T&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#9b9759f1df3016d2004ee6a0d347d0ca" title="Returns column c of the Sparse_Mat in the Sparse_Vec v.">Sparse_Mat&lt;T&gt;::get_col</a>(<span class="keywordtype">int</span> c)<span class="keyword"> const</span>
540<a name="l00623"></a>00623 <span class="keyword"></span>{
541<a name="l00624"></a>00624   <a class="code" href="group__errorhandlingfunc.html#gd5c34b291e5018534fd2344486e2b5a1" title="Abort if t is not true.">it_assert</a>(c &gt;= 0 &amp;&amp; c &lt; n_cols, <span class="stringliteral">"Sparse_Mat&lt;T&gt;::get_col()"</span>);
542<a name="l00625"></a>00625   <span class="keywordflow">return</span> col[c];
543<a name="l00626"></a>00626 }
544<a name="l00627"></a>00627
545<a name="l00628"></a>00628 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
546<a name="l00629"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#e15d124adfa11120960ecfd11ad90ef0">00629</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#e15d124adfa11120960ecfd11ad90ef0" title="Set column c of the Sparse_Mat.">Sparse_Mat&lt;T&gt;::set_col</a>(<span class="keywordtype">int</span> c, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Vec.html" title="Templated sparse vector class.">Sparse_Vec&lt;T&gt;</a> &amp;v)
547<a name="l00630"></a>00630 {
548<a name="l00631"></a>00631   <a class="code" href="group__errorhandlingfunc.html#gd5c34b291e5018534fd2344486e2b5a1" title="Abort if t is not true.">it_assert</a>(c &gt;= 0 &amp;&amp; c &lt; n_cols, <span class="stringliteral">"Sparse_Mat&lt;T&gt;::set_col()"</span>);
549<a name="l00632"></a>00632   col[c] = v;
550<a name="l00633"></a>00633 }
551<a name="l00634"></a>00634
552<a name="l00635"></a>00635 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
553<a name="l00636"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#5b12be950cd135b8fb0f345a9d73348d">00636</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#da0c107ad90b5445d8cb7c55b48ef8b3">Sparse_Mat&lt;T&gt;::transpose</a>(<a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m)<span class="keyword"> const</span>
554<a name="l00637"></a>00637 <span class="keyword"></span>{
555<a name="l00638"></a>00638   m.<a class="code" href="classitpp_1_1Sparse__Mat.html#bede37fe2203b2bae86c7000c6fa78f4" title="Set the size of the sparse matrix.">set_size</a>(n_cols, n_rows);
556<a name="l00639"></a>00639   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++) {
557<a name="l00640"></a>00640     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> p = 0; p &lt; col[c].nnz(); p++)
558<a name="l00641"></a>00641       m.<a class="code" href="classitpp_1_1Sparse__Mat.html#a083ae3ef8a3895e8da0a6e52418e982">col</a>[col[c].get_nz_index(p)].set_new(c, col[c].get_nz_data(p));
559<a name="l00642"></a>00642   }
560<a name="l00643"></a>00643 }
561<a name="l00644"></a>00644
562<a name="l00645"></a>00645 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
563<a name="l00646"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#da0c107ad90b5445d8cb7c55b48ef8b3">00646</a> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#da0c107ad90b5445d8cb7c55b48ef8b3">Sparse_Mat&lt;T&gt;::transpose</a>()<span class="keyword"> const</span>
564<a name="l00647"></a>00647 <span class="keyword"></span>{
565<a name="l00648"></a>00648   <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> m;
566<a name="l00649"></a>00649   <a class="code" href="classitpp_1_1Sparse__Mat.html#da0c107ad90b5445d8cb7c55b48ef8b3">transpose</a>(m);
567<a name="l00650"></a>00650   <span class="keywordflow">return</span> m;
568<a name="l00651"></a>00651 }
569<a name="l00652"></a>00652
570<a name="l00653"></a>00653 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
571<a name="l00654"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#cf3ddc3a3af57157e51c00b3d6e423ce">00654</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#cf3ddc3a3af57157e51c00b3d6e423ce" title="Assign sparse matrix the value and dimensions of the sparse matrix m.">Sparse_Mat&lt;T&gt;::operator=</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m)
572<a name="l00655"></a>00655 {
573<a name="l00656"></a>00656   free();
574<a name="l00657"></a>00657   n_rows = m.<a class="code" href="classitpp_1_1Sparse__Mat.html#fc7d597baedd923717429e33be26ff1c">n_rows</a>;
575<a name="l00658"></a>00658   n_cols = m.<a class="code" href="classitpp_1_1Sparse__Mat.html#4ad4ff37dc3c118af1882a76d0c472c3">n_cols</a>;
576<a name="l00659"></a>00659   alloc_empty();
577<a name="l00660"></a>00660
578<a name="l00661"></a>00661   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++)
579<a name="l00662"></a>00662     col[c] = m.<a class="code" href="classitpp_1_1Sparse__Mat.html#a083ae3ef8a3895e8da0a6e52418e982">col</a>[c];
580<a name="l00663"></a>00663 }
581<a name="l00664"></a>00664
582<a name="l00665"></a>00665 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
583<a name="l00666"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#0b32c38c1aa5ea999817190afc9f8858">00666</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#cf3ddc3a3af57157e51c00b3d6e423ce" title="Assign sparse matrix the value and dimensions of the sparse matrix m.">Sparse_Mat&lt;T&gt;::operator=</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;m)
584<a name="l00667"></a>00667 {
585<a name="l00668"></a>00668   free();
586<a name="l00669"></a>00669   n_rows = m.<a class="code" href="classitpp_1_1Mat.html#f3028609c01e08fb07c5bf0bcd4c4e03" title="The number of rows.">rows</a>();
587<a name="l00670"></a>00670   n_cols = m.<a class="code" href="classitpp_1_1Mat.html#49680ef454d1d75b737e3ce157f1ac7b" title="The number of columns.">cols</a>();
588<a name="l00671"></a>00671   alloc();
589<a name="l00672"></a>00672
590<a name="l00673"></a>00673   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++) {
591<a name="l00674"></a>00674     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> r = 0; r &lt; n_rows; r++) {
592<a name="l00675"></a>00675       <span class="keywordflow">if</span> (m(r, c) != T(0))
593<a name="l00676"></a>00676         col[c].set_new(r, m(r, c));
594<a name="l00677"></a>00677     }
595<a name="l00678"></a>00678     col[c].compact();
596<a name="l00679"></a>00679   }
597<a name="l00680"></a>00680 }
598<a name="l00681"></a>00681
599<a name="l00682"></a>00682 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
600<a name="l00683"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#1eb8891a51aa9c69fadcb8ab623c5d36">00683</a> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> <a class="code" href="classitpp_1_1Sparse__Mat.html#1eb8891a51aa9c69fadcb8ab623c5d36" title="Returns the sign inverse of all elements in the sparse matrix.">Sparse_Mat&lt;T&gt;::operator-</a>()<span class="keyword"> const</span>
601<a name="l00684"></a>00684 <span class="keyword"></span>{
602<a name="l00685"></a>00685   <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat</a> r(n_rows, n_cols, 0);
603<a name="l00686"></a>00686
604<a name="l00687"></a>00687   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++) {
605<a name="l00688"></a>00688     r.<a class="code" href="classitpp_1_1Sparse__Mat.html#a083ae3ef8a3895e8da0a6e52418e982">col</a>[c].resize_data(col[c].<a class="code" href="classitpp_1_1Sparse__Mat.html#28166b919565d9e50895569b7204c9c4" title="The number of non-zero elements in the sparse matrix.">nnz</a>());
606<a name="l00689"></a>00689     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> p = 0; p &lt; col[c].nnz(); p++)
607<a name="l00690"></a>00690       r.<a class="code" href="classitpp_1_1Sparse__Mat.html#a083ae3ef8a3895e8da0a6e52418e982">col</a>[c].set_new(col[c].get_nz_index(p), -col[c].get_nz_data(p));
608<a name="l00691"></a>00691   }
609<a name="l00692"></a>00692
610<a name="l00693"></a>00693   <span class="keywordflow">return</span> r;
611<a name="l00694"></a>00694 }
612<a name="l00695"></a>00695
613<a name="l00696"></a>00696 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
614<a name="l00697"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#ee53a24c0f6be2927b512b64fadd650b">00697</a> <span class="keywordtype">bool</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#ee53a24c0f6be2927b512b64fadd650b" title="Compare two sparse matricies. False if wrong sizes or different values.">Sparse_Mat&lt;T&gt;::operator==</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m)<span class="keyword"> const</span>
615<a name="l00698"></a>00698 <span class="keyword"></span>{
616<a name="l00699"></a>00699   <span class="keywordflow">if</span> (n_rows != m.<a class="code" href="classitpp_1_1Sparse__Mat.html#fc7d597baedd923717429e33be26ff1c">n_rows</a> || n_cols != m.<a class="code" href="classitpp_1_1Sparse__Mat.html#4ad4ff37dc3c118af1882a76d0c472c3">n_cols</a>)
617<a name="l00700"></a>00700     <span class="keywordflow">return</span> <span class="keyword">false</span>;
618<a name="l00701"></a>00701   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++) {
619<a name="l00702"></a>00702     <span class="keywordflow">if</span> (!(col[c] == m.<a class="code" href="classitpp_1_1Sparse__Mat.html#a083ae3ef8a3895e8da0a6e52418e982">col</a>[c]))
620<a name="l00703"></a>00703       <span class="keywordflow">return</span> <span class="keyword">false</span>;
621<a name="l00704"></a>00704   }
622<a name="l00705"></a>00705   <span class="comment">// If they passed all tests, they must be equal</span>
623<a name="l00706"></a>00706   <span class="keywordflow">return</span> <span class="keyword">true</span>;
624<a name="l00707"></a>00707 }
625<a name="l00708"></a>00708
626<a name="l00709"></a>00709 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
627<a name="l00710"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#901025d686820e6e2379701fcc4786fc">00710</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#901025d686820e6e2379701fcc4786fc" title="Add sparse matrix v to all non-zero elements of the sparse matrix.">Sparse_Mat&lt;T&gt;::operator+=</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m)
628<a name="l00711"></a>00711 {
629<a name="l00712"></a>00712   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(m.<a class="code" href="classitpp_1_1Sparse__Mat.html#98f82f4aca56a2b8083df057f0c5c359" title="Returns the number of rows of the sparse matrix.">rows</a>() == n_rows &amp;&amp; m.<a class="code" href="classitpp_1_1Sparse__Mat.html#18ab90bb7cd0db31722374889e3d74c8" title="Returns the number of columns of the sparse matrix.">cols</a>() == n_cols, <span class="stringliteral">"Addition of unequal sized matrices is not allowed"</span>);
630<a name="l00713"></a>00713
631<a name="l00714"></a>00714   <a class="code" href="classitpp_1_1Sparse__Vec.html" title="Templated sparse vector class.">Sparse_Vec&lt;T&gt;</a> v;
632<a name="l00715"></a>00715   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++) {
633<a name="l00716"></a>00716     m.<a class="code" href="classitpp_1_1Sparse__Mat.html#9b9759f1df3016d2004ee6a0d347d0ca" title="Returns column c of the Sparse_Mat in the Sparse_Vec v.">get_col</a>(c, v);
634<a name="l00717"></a>00717     col[c] += v;
635<a name="l00718"></a>00718   }
636<a name="l00719"></a>00719 }
637<a name="l00720"></a>00720
638<a name="l00721"></a>00721 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
639<a name="l00722"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#6ea4483a0a1077ee71ed24ed4bba7659">00722</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#901025d686820e6e2379701fcc4786fc" title="Add sparse matrix v to all non-zero elements of the sparse matrix.">Sparse_Mat&lt;T&gt;::operator+=</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;m)
640<a name="l00723"></a>00723 {
641<a name="l00724"></a>00724   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(m.<a class="code" href="classitpp_1_1Mat.html#f3028609c01e08fb07c5bf0bcd4c4e03" title="The number of rows.">rows</a>() == n_rows &amp;&amp; m.<a class="code" href="classitpp_1_1Mat.html#49680ef454d1d75b737e3ce157f1ac7b" title="The number of columns.">cols</a>() == n_cols, <span class="stringliteral">"Addition of unequal sized matrices is not allowed"</span>);
642<a name="l00725"></a>00725
643<a name="l00726"></a>00726   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++)
644<a name="l00727"></a>00727     col[c] += (m.<a class="code" href="classitpp_1_1Mat.html#095a4e54f39932b62633f7f4f252ab46" title="Get column c.">get_col</a>(c));
645<a name="l00728"></a>00728 }
646<a name="l00729"></a>00729
647<a name="l00730"></a>00730 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
648<a name="l00731"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#9f42dce24f97723ed307eb2d2988de57">00731</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#9f42dce24f97723ed307eb2d2988de57" title="Subtract sparse matrix v from all non-zero elements of the sparse matrix.">Sparse_Mat&lt;T&gt;::operator-=</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m)
649<a name="l00732"></a>00732 {
650<a name="l00733"></a>00733   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(m.<a class="code" href="classitpp_1_1Sparse__Mat.html#98f82f4aca56a2b8083df057f0c5c359" title="Returns the number of rows of the sparse matrix.">rows</a>() == n_rows &amp;&amp; m.<a class="code" href="classitpp_1_1Sparse__Mat.html#18ab90bb7cd0db31722374889e3d74c8" title="Returns the number of columns of the sparse matrix.">cols</a>() == n_cols, <span class="stringliteral">"Subtraction of unequal sized matrices is not allowed"</span>);
651<a name="l00734"></a>00734
652<a name="l00735"></a>00735   <a class="code" href="classitpp_1_1Sparse__Vec.html" title="Templated sparse vector class.">Sparse_Vec&lt;T&gt;</a> v;
653<a name="l00736"></a>00736   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++) {
654<a name="l00737"></a>00737     m.<a class="code" href="classitpp_1_1Sparse__Mat.html#9b9759f1df3016d2004ee6a0d347d0ca" title="Returns column c of the Sparse_Mat in the Sparse_Vec v.">get_col</a>(c, v);
655<a name="l00738"></a>00738     col[c] -= v;
656<a name="l00739"></a>00739   }
657<a name="l00740"></a>00740 }
658<a name="l00741"></a>00741
659<a name="l00742"></a>00742 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
660<a name="l00743"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#998709bb09b76a7502da3a67a4a3e1f1">00743</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#9f42dce24f97723ed307eb2d2988de57" title="Subtract sparse matrix v from all non-zero elements of the sparse matrix.">Sparse_Mat&lt;T&gt;::operator-=</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Mat.html">Mat&lt;T&gt;</a> &amp;m)
661<a name="l00744"></a>00744 {
662<a name="l00745"></a>00745   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(m.<a class="code" href="classitpp_1_1Mat.html#f3028609c01e08fb07c5bf0bcd4c4e03" title="The number of rows.">rows</a>() == n_rows &amp;&amp; m.<a class="code" href="classitpp_1_1Mat.html#49680ef454d1d75b737e3ce157f1ac7b" title="The number of columns.">cols</a>() == n_cols, <span class="stringliteral">"Subtraction of unequal sized matrices is not allowed"</span>);
663<a name="l00746"></a>00746
664<a name="l00747"></a>00747   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++)
665<a name="l00748"></a>00748     col[c] -= (m.<a class="code" href="classitpp_1_1Mat.html#095a4e54f39932b62633f7f4f252ab46" title="Get column c.">get_col</a>(c));
666<a name="l00749"></a>00749 }
667<a name="l00750"></a>00750
668<a name="l00751"></a>00751 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
669<a name="l00752"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#f209ca65dde352cc53fa7b0db747d698">00752</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#f209ca65dde352cc53fa7b0db747d698" title="Multiply all non-zero elements of the sparse matrix with the scalar v.">Sparse_Mat&lt;T&gt;::operator*=</a>(<span class="keyword">const</span> T &amp;m)
670<a name="l00753"></a>00753 {
671<a name="l00754"></a>00754   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++)
672<a name="l00755"></a>00755     col[c] *= m;
673<a name="l00756"></a>00756 }
674<a name="l00757"></a>00757
675<a name="l00758"></a>00758 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
676<a name="l00759"></a><a class="code" href="classitpp_1_1Sparse__Mat.html#5962d40e4865536207f2ae9c204d9796">00759</a> <span class="keywordtype">void</span> <a class="code" href="classitpp_1_1Sparse__Mat.html#5962d40e4865536207f2ae9c204d9796" title="Divide all non-zero elements of the sparse matrix with the scalar v.">Sparse_Mat&lt;T&gt;::operator/=</a>(<span class="keyword">const</span> T &amp;m)
677<a name="l00760"></a>00760 {
678<a name="l00761"></a>00761   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; n_cols; c++)
679<a name="l00762"></a>00762     col[c] /= m;
680<a name="l00763"></a>00763 }
681<a name="l00764"></a>00764
682<a name="l00765"></a>00765 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
683<a name="l00766"></a>00766 <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> <a class="code" href="group__fixed.html#g683d6c037357e472e84756fe1b1faae8" title="Fix + cfixmat.">operator+</a>(<span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m1, <span class="keyword">const</span> <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> &amp;m2)
684<a name="l00767"></a>00767 {
685<a name="l00768"></a>00768   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(m1.<a class="code" href="classitpp_1_1Sparse__Mat.html#4ad4ff37dc3c118af1882a76d0c472c3">n_cols</a> == m2.<a class="code" href="classitpp_1_1Sparse__Mat.html#4ad4ff37dc3c118af1882a76d0c472c3">n_cols</a> &amp;&amp; m1.<a class="code" href="classitpp_1_1Sparse__Mat.html#fc7d597baedd923717429e33be26ff1c">n_rows</a> == m2.<a class="code" href="classitpp_1_1Sparse__Mat.html#fc7d597baedd923717429e33be26ff1c">n_rows</a> , <span class="stringliteral">"Sparse_Mat&lt;T&gt; + Sparse_Mat&lt;T&gt;"</span>);
686<a name="l00769"></a>00769
687<a name="l00770"></a>00770   <a class="code" href="classitpp_1_1Sparse__Mat.html" title="Templated Sparse Matrix Class.">Sparse_Mat&lt;T&gt;</a> m(m1.<a class="code" href="classitpp_1_1Sparse__Mat.html#fc7d597baedd923717429e33be26ff1c">n_rows</a>, m1.<a class="code" href="classitpp_1_1Sparse__Mat.html#4ad4ff37dc3c118af1882a76d0c472c3">n_cols</a>, 0);
688<a name="l00771"></a>00771
689<a name="l00772"></a>00772   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; m.n_cols; c++)
690<a name="l00773"></a>00773     m.col[c] = m1.<a class="code" href="classitpp_1_1Sparse__Mat.html#a083ae3ef8a3895e8da0a6e52418e982">col</a>[c] + m2.<a class="code" href="classitpp_1_1Sparse__Mat.html#a083ae3ef8a3895e8da0a6e52418e982">col</a>[c];
691<a name="l00774"></a>00774
692<a name="l00775"></a>00775   <span class="keywordflow">return</span> m;
693<a name="l00776"></a>00776 }
694<a name="l00777"></a>00777
695<a name="l00778"></a>00778 <span class="comment">// This function added by EGL, May'05</span>
696<a name="l00779"></a>00779 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
697<a name="l00780"></a>00780 Sparse_Mat&lt;T&gt; <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> T &amp;c, <span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m)
698<a name="l00781"></a>00781 {
699<a name="l00782"></a>00782   <span class="keywordtype">int</span> i, j;
700<a name="l00783"></a>00783   Sparse_Mat&lt;T&gt; ret(m.n_rows, m.n_cols);
701<a name="l00784"></a>00784   <span class="keywordflow">for</span> (j = 0; j &lt; m.n_cols; j++) {
702<a name="l00785"></a>00785     <span class="keywordflow">for</span> (i = 0; i &lt; m.col[j].nnz(); i++) {
703<a name="l00786"></a>00786       T x = c * m.col[j].get_nz_data(i);
704<a name="l00787"></a>00787       <span class="keywordtype">int</span> k = m.col[j].get_nz_index(i);
705<a name="l00788"></a>00788       ret.set_new(k, j, x);
706<a name="l00789"></a>00789     }
707<a name="l00790"></a>00790   }
708<a name="l00791"></a>00791   <span class="keywordflow">return</span> ret;
709<a name="l00792"></a>00792 }
710<a name="l00793"></a>00793
711<a name="l00794"></a>00794 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
712<a name="l00795"></a>00795 Sparse_Mat&lt;T&gt; <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m1, <span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m2)
713<a name="l00796"></a>00796 {
714<a name="l00797"></a>00797   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(m1.n_cols == m2.n_rows, <span class="stringliteral">"Sparse_Mat&lt;T&gt; * Sparse_Mat&lt;T&gt;"</span>);
715<a name="l00798"></a>00798
716<a name="l00799"></a>00799   Sparse_Mat&lt;T&gt; ret(m1.n_rows, m2.n_cols);
717<a name="l00800"></a>00800
718<a name="l00801"></a>00801   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; m2.n_cols; c++) {
719<a name="l00802"></a>00802     Sparse_Vec&lt;T&gt; &amp;m2colc = m2.col[c];
720<a name="l00803"></a>00803     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> p2 = 0; p2 &lt; m2colc.nnz(); p2++) {
721<a name="l00804"></a>00804       Sparse_Vec&lt;T&gt; &amp;mcol = m1.col[m2colc.get_nz_index(p2)];
722<a name="l00805"></a>00805       T x = m2colc.get_nz_data(p2);
723<a name="l00806"></a>00806       <span class="keywordflow">for</span> (<span class="keywordtype">int</span> p1 = 0; p1 &lt; mcol.nnz(); p1++) {
724<a name="l00807"></a>00807         <span class="keywordtype">int</span> r = mcol.get_nz_index(p1);
725<a name="l00808"></a>00808         T inc = mcol.get_nz_data(p1) * x;
726<a name="l00809"></a>00809         ret.col[c].add_elem(r, inc);
727<a name="l00810"></a>00810       }
728<a name="l00811"></a>00811     }
729<a name="l00812"></a>00812   }
730<a name="l00813"></a>00813   <span class="comment">// old code</span>
731<a name="l00814"></a>00814   <span class="comment">/*       for (int c=0; c&lt;m2.n_cols; c++) { */</span>
732<a name="l00815"></a>00815   <span class="comment">/*  for (int p2=0; p2&lt;m2.col[c].nnz(); p2++) { */</span>
733<a name="l00816"></a>00816   <span class="comment">/*    Sparse_Vec&lt;T&gt; &amp;mcol = m1.col[m2.col[c].get_nz_index(p2)]; */</span>
734<a name="l00817"></a>00817   <span class="comment">/*    for (int p1=0; p1&lt;mcol.nnz(); p1++) { */</span>
735<a name="l00818"></a>00818   <span class="comment">/*      int r = mcol.get_nz_index(p1); */</span>
736<a name="l00819"></a>00819   <span class="comment">/*      T inc = mcol.get_nz_data(p1) * m2.col[c].get_nz_data(p2); */</span>
737<a name="l00820"></a>00820   <span class="comment">/*      ret.col[c].add_elem(r,inc); */</span>
738<a name="l00821"></a>00821   <span class="comment">/*    } */</span>
739<a name="l00822"></a>00822   <span class="comment">/*  } */</span>
740<a name="l00823"></a>00823   <span class="comment">/*       } */</span>
741<a name="l00824"></a>00824   ret.compact();
742<a name="l00825"></a>00825   <span class="keywordflow">return</span> ret;
743<a name="l00826"></a>00826 }
744<a name="l00827"></a>00827
745<a name="l00828"></a>00828
746<a name="l00829"></a>00829 <span class="comment">// This is apparently buggy.</span>
747<a name="l00830"></a>00830 <span class="comment">/*   template &lt;class T&gt; */</span>
748<a name="l00831"></a>00831 <span class="comment">/*     Sparse_Mat&lt;T&gt; operator*(const Sparse_Mat&lt;T&gt; &amp;m1, const Sparse_Mat&lt;T&gt; &amp;m2) */</span>
749<a name="l00832"></a>00832 <span class="comment">/*     { */</span>
750<a name="l00833"></a>00833 <span class="comment">/*       it_assert_debug(m1.n_cols == m2.n_rows, "Sparse_Mat&lt;T&gt; * Sparse_Mat&lt;T&gt;"); */</span>
751<a name="l00834"></a>00834
752<a name="l00835"></a>00835 <span class="comment">/*       Sparse_Mat&lt;T&gt; ret(m1.n_rows, m2.n_cols); */</span>
753<a name="l00836"></a>00836 <span class="comment">/*       ivec occupied_by(ret.n_rows), pos(ret.n_rows); */</span>
754<a name="l00837"></a>00837 <span class="comment">/*       for (int rp=0; rp&lt;m1.n_rows; rp++) */</span>
755<a name="l00838"></a>00838 <span class="comment">/*  occupied_by[rp] = -1; */</span>
756<a name="l00839"></a>00839 <span class="comment">/*       for (int c=0; c&lt;ret.n_cols; c++) { */</span>
757<a name="l00840"></a>00840 <span class="comment">/*  Sparse_Vec&lt;T&gt; &amp;m2col = m2.col[c]; */</span>
758<a name="l00841"></a>00841 <span class="comment">/*  for (int p2=0; p2&lt;m2col.nnz(); p2++) { */</span>
759<a name="l00842"></a>00842 <span class="comment">/*    Sparse_Vec&lt;T&gt; &amp;m1col = m1.col[m2col.get_nz_index(p2)]; */</span>
760<a name="l00843"></a>00843 <span class="comment">/*    for (int p1=0; p1&lt;m1col.nnz(); p1++) { */</span>
761<a name="l00844"></a>00844 <span class="comment">/*      int r = m1col.get_nz_index(p1); */</span>
762<a name="l00845"></a>00845 <span class="comment">/*      T inc = m1col.get_nz_data(p1) * m2col.get_nz_data(p2); */</span>
763<a name="l00846"></a>00846 <span class="comment">/*      if (occupied_by[r] == c) { */</span>
764<a name="l00847"></a>00847 <span class="comment">/*        int index=ret.col[c].get_nz_index(pos[r]); */</span>
765<a name="l00848"></a>00848 <span class="comment">/*        ret.col[c].add_elem(index,inc); */</span>
766<a name="l00849"></a>00849 <span class="comment">/*      } */</span>
767<a name="l00850"></a>00850 <span class="comment">/*      else { */</span>
768<a name="l00851"></a>00851 <span class="comment">/*        occupied_by[r] = c; */</span>
769<a name="l00852"></a>00852 <span class="comment">/*        pos[r] = ret.col[c].nnz(); */</span>
770<a name="l00853"></a>00853 <span class="comment">/*        ret.col[c].set_new(r, inc); */</span>
771<a name="l00854"></a>00854 <span class="comment">/*      } */</span>
772<a name="l00855"></a>00855 <span class="comment">/*    } */</span>
773<a name="l00856"></a>00856 <span class="comment">/*  } */</span>
774<a name="l00857"></a>00857 <span class="comment">/*       } */</span>
775<a name="l00858"></a>00858 <span class="comment">/*       ret.compact(); */</span>
776<a name="l00859"></a>00859
777<a name="l00860"></a>00860 <span class="comment">/*       return ret; */</span>
778<a name="l00861"></a>00861 <span class="comment">/*     } */</span>
779<a name="l00862"></a>00862
780<a name="l00863"></a>00863
781<a name="l00864"></a>00864 <span class="comment">// This function added by EGL, May'05</span>
782<a name="l00865"></a>00865 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
783<a name="l00866"></a>00866 Sparse_Vec&lt;T&gt; <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m, <span class="keyword">const</span> Sparse_Vec&lt;T&gt; &amp;v)
784<a name="l00867"></a>00867 {
785<a name="l00868"></a>00868   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(m.n_cols == v.size(), <span class="stringliteral">"Sparse_Mat&lt;T&gt; * Sparse_Vec&lt;T&gt;"</span>);
786<a name="l00869"></a>00869
787<a name="l00870"></a>00870   Sparse_Vec&lt;T&gt; ret(m.n_rows);
788<a name="l00871"></a>00871
789<a name="l00872"></a>00872   <span class="comment">/* The two lines below added because the input parameter "v" is</span>
790<a name="l00873"></a>00873 <span class="comment">  declared const, but the some functions (e.g., nnz()) change</span>
791<a name="l00874"></a>00874 <span class="comment">  the vector... Is there a better workaround? */</span>
792<a name="l00875"></a>00875   Sparse_Vec&lt;T&gt; vv = v;
793<a name="l00876"></a>00876
794<a name="l00877"></a>00877   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> p2 = 0; p2 &lt; vv.nnz(); p2++) {
795<a name="l00878"></a>00878     Sparse_Vec&lt;T&gt; &amp;mcol = m.col[vv.get_nz_index(p2)];
796<a name="l00879"></a>00879     T x = vv.get_nz_data(p2);
797<a name="l00880"></a>00880     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> p1 = 0; p1 &lt; mcol.nnz(); p1++) {
798<a name="l00881"></a>00881       <span class="keywordtype">int</span> r = mcol.get_nz_index(p1);
799<a name="l00882"></a>00882       T inc = mcol.get_nz_data(p1) * x;
800<a name="l00883"></a>00883       ret.add_elem(r, inc);
801<a name="l00884"></a>00884     }
802<a name="l00885"></a>00885   }
803<a name="l00886"></a>00886   ret.compact();
804<a name="l00887"></a>00887   <span class="keywordflow">return</span> ret;
805<a name="l00888"></a>00888 }
806<a name="l00889"></a>00889
807<a name="l00890"></a>00890
808<a name="l00891"></a>00891 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
809<a name="l00892"></a>00892 Vec&lt;T&gt; <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m, <span class="keyword">const</span> Vec&lt;T&gt; &amp;v)
810<a name="l00893"></a>00893 {
811<a name="l00894"></a>00894   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(m.n_cols == v.size(), <span class="stringliteral">"Sparse_Mat&lt;T&gt; * Vec&lt;T&gt;"</span>);
812<a name="l00895"></a>00895
813<a name="l00896"></a>00896   Vec&lt;T&gt; r(m.n_rows);
814<a name="l00897"></a>00897   r.clear();
815<a name="l00898"></a>00898
816<a name="l00899"></a>00899   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; m.n_cols; c++) {
817<a name="l00900"></a>00900     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> p = 0; p &lt; m.col[c].nnz(); p++)
818<a name="l00901"></a>00901       r(m.col[c].get_nz_index(p)) += m.col[c].get_nz_data(p) * v(c);
819<a name="l00902"></a>00902   }
820<a name="l00903"></a>00903
821<a name="l00904"></a>00904   <span class="keywordflow">return</span> r;
822<a name="l00905"></a>00905 }
823<a name="l00906"></a>00906
824<a name="l00907"></a>00907 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
825<a name="l00908"></a>00908 Vec&lt;T&gt; <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> Vec&lt;T&gt; &amp;v, <span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m)
826<a name="l00909"></a>00909 {
827<a name="l00910"></a>00910   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(v.size() == m.n_rows, <span class="stringliteral">"Vec&lt;T&gt; * Sparse_Mat&lt;T&gt;"</span>);
828<a name="l00911"></a>00911
829<a name="l00912"></a>00912   Vec&lt;T&gt; r(m.n_cols);
830<a name="l00913"></a>00913   r.clear();
831<a name="l00914"></a>00914
832<a name="l00915"></a>00915   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; m.n_cols; c++)
833<a name="l00916"></a>00916     r[c] = v * m.col[c];
834<a name="l00917"></a>00917
835<a name="l00918"></a>00918   <span class="keywordflow">return</span> r;
836<a name="l00919"></a>00919 }
837<a name="l00920"></a>00920
838<a name="l00921"></a>00921 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
839<a name="l00922"></a>00922 Mat&lt;T&gt; trans_mult(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m)
840<a name="l00923"></a>00923 {
841<a name="l00924"></a>00924   Mat&lt;T&gt; ret(m.n_cols, m.n_cols);
842<a name="l00925"></a>00925   Vec&lt;T&gt; col;
843<a name="l00926"></a>00926   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; ret.cols(); c++) {
844<a name="l00927"></a>00927     m.col[c].full(col);
845<a name="l00928"></a>00928     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> r = 0; r &lt; c; r++) {
846<a name="l00929"></a>00929       T tmp = m.col[r] * col;
847<a name="l00930"></a>00930       ret(r, c) = tmp;
848<a name="l00931"></a>00931       ret(c, r) = tmp;
849<a name="l00932"></a>00932     }
850<a name="l00933"></a>00933     ret(c, c) = m.col[c].sqr();
851<a name="l00934"></a>00934   }
852<a name="l00935"></a>00935
853<a name="l00936"></a>00936   <span class="keywordflow">return</span> ret;
854<a name="l00937"></a>00937 }
855<a name="l00938"></a>00938
856<a name="l00939"></a>00939 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
857<a name="l00940"></a>00940 Sparse_Mat&lt;T&gt; trans_mult_s(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m)
858<a name="l00941"></a>00941 {
859<a name="l00942"></a>00942   Sparse_Mat&lt;T&gt; ret(m.n_cols, m.n_cols);
860<a name="l00943"></a>00943   Vec&lt;T&gt; col;
861<a name="l00944"></a>00944   T tmp;
862<a name="l00945"></a>00945   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; ret.n_cols; c++) {
863<a name="l00946"></a>00946     m.col[c].full(col);
864<a name="l00947"></a>00947     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> r = 0; r &lt; c; r++) {
865<a name="l00948"></a>00948       tmp = m.col[r] * col;
866<a name="l00949"></a>00949       <span class="keywordflow">if</span> (tmp != T(0)) {
867<a name="l00950"></a>00950         ret.col[c].set_new(r, tmp);
868<a name="l00951"></a>00951         ret.col[r].set_new(c, tmp);
869<a name="l00952"></a>00952       }
870<a name="l00953"></a>00953     }
871<a name="l00954"></a>00954     tmp = m.col[c].sqr();
872<a name="l00955"></a>00955     <span class="keywordflow">if</span> (tmp != T(0))
873<a name="l00956"></a>00956       ret.col[c].set_new(c, tmp);
874<a name="l00957"></a>00957   }
875<a name="l00958"></a>00958
876<a name="l00959"></a>00959   <span class="keywordflow">return</span> ret;
877<a name="l00960"></a>00960 }
878<a name="l00961"></a>00961
879<a name="l00962"></a>00962 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
880<a name="l00963"></a>00963 Sparse_Mat&lt;T&gt; trans_mult(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m1, <span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m2)
881<a name="l00964"></a>00964 {
882<a name="l00965"></a>00965   <a class="code" href="group__errorhandlingfunc.html#gb319550e696ee9d824d23c2a176bc3a6" title="Abort if t is not true and NDEBUG is not defined.">it_assert_debug</a>(m1.n_rows == m2.n_rows, <span class="stringliteral">"trans_mult()"</span>);
883<a name="l00966"></a>00966
884<a name="l00967"></a>00967   Sparse_Mat&lt;T&gt; ret(m1.n_cols, m2.n_cols);
885<a name="l00968"></a>00968   Vec&lt;T&gt; col;
886<a name="l00969"></a>00969   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; ret.n_cols; c++) {
887<a name="l00970"></a>00970     m2.col[c].full(col);
888<a name="l00971"></a>00971     <span class="keywordflow">for</span> (<span class="keywordtype">int</span> r = 0; r &lt; ret.n_rows; r++)
889<a name="l00972"></a>00972       ret.col[c].set_new(r, m1.col[r] * col);
890<a name="l00973"></a>00973   }
891<a name="l00974"></a>00974
892<a name="l00975"></a>00975   <span class="keywordflow">return</span> ret;
893<a name="l00976"></a>00976 }
894<a name="l00977"></a>00977
895<a name="l00978"></a>00978 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
896<a name="l00979"></a>00979 Vec&lt;T&gt; trans_mult(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m, <span class="keyword">const</span> Vec&lt;T&gt; &amp;v)
897<a name="l00980"></a>00980 {
898<a name="l00981"></a>00981   Vec&lt;T&gt; r(m.n_cols);
899<a name="l00982"></a>00982   <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; m.n_cols; c++)
900<a name="l00983"></a>00983     r(c) = m.col[c] * v;
901<a name="l00984"></a>00984
902<a name="l00985"></a>00985   <span class="keywordflow">return</span> r;
903<a name="l00986"></a>00986 }
904<a name="l00987"></a>00987
905<a name="l00988"></a>00988 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
906<a name="l00989"></a>00989 Sparse_Mat&lt;T&gt; mult_trans(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m1, <span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;m2)
907<a name="l00990"></a>00990 {
908<a name="l00991"></a>00991   <span class="keywordflow">return</span> trans_mult(m1.transpose(), m2.transpose());
909<a name="l00992"></a>00992 }
910<a name="l00993"></a>00993
911<a name="l00995"></a>00995 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
912<a name="l00996"></a>00996 <span class="keyword">inline</span> Sparse_Mat&lt;T&gt; sparse(<span class="keyword">const</span> Mat&lt;T&gt; &amp;m, T epsilon)
913<a name="l00997"></a>00997 {
914<a name="l00998"></a>00998   Sparse_Mat&lt;T&gt; s(m, epsilon);
915<a name="l00999"></a>00999   <span class="keywordflow">return</span> s;
916<a name="l01000"></a>01000 }
917<a name="l01001"></a>01001
918<a name="l01003"></a>01003 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
919<a name="l01004"></a>01004 <span class="keyword">inline</span> Mat&lt;T&gt; full(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;s)
920<a name="l01005"></a>01005 {
921<a name="l01006"></a>01006   Mat&lt;T&gt; m;
922<a name="l01007"></a>01007   s.full(m);
923<a name="l01008"></a>01008   <span class="keywordflow">return</span> m;
924<a name="l01009"></a>01009 }
925<a name="l01010"></a>01010
926<a name="l01012"></a>01012 <span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;
927<a name="l01013"></a>01013 <span class="keyword">inline</span> Sparse_Mat&lt;T&gt; <a class="code" href="group__matrix__functions.html#g22c587fbc615e295f2b881c2e5025006" title="Transposition of the matrix m returning the transposed matrix in out.">transpose</a>(<span class="keyword">const</span> Sparse_Mat&lt;T&gt; &amp;s)
928<a name="l01014"></a>01014 {
929<a name="l01015"></a>01015   Sparse_Mat&lt;T&gt; m;
930<a name="l01016"></a>01016   s.transpose(m);
931<a name="l01017"></a>01017   <span class="keywordflow">return</span> m;
932<a name="l01018"></a>01018 }
933<a name="l01019"></a>01019
934<a name="l01021"></a>01021
935<a name="l01022"></a>01022 <span class="comment">// ---------------------------------------------------------------------</span>
936<a name="l01023"></a>01023 <span class="comment">// Instantiations</span>
937<a name="l01024"></a>01024 <span class="comment">// ---------------------------------------------------------------------</span>
938<a name="l01025"></a>01025
939<a name="l01026"></a>01026 <span class="preprocessor">#ifdef HAVE_EXTERN_TEMPLATE</span>
940<a name="l01027"></a>01027 <span class="preprocessor"></span>
941<a name="l01028"></a>01028 <span class="keyword">extern</span> <span class="keyword">template</span> <span class="keyword">class </span>Sparse_Mat&lt;int&gt;;
942<a name="l01029"></a>01029 <span class="keyword">extern</span> <span class="keyword">template</span> <span class="keyword">class </span>Sparse_Mat&lt;double&gt;;
943<a name="l01030"></a>01030 <span class="keyword">extern</span> <span class="keyword">template</span> <span class="keyword">class </span>Sparse_Mat&lt;std::complex&lt;double&gt; &gt;;
944<a name="l01031"></a>01031
945<a name="l01032"></a>01032 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_imat <a class="code" href="group__fixed.html#g683d6c037357e472e84756fe1b1faae8" title="Fix + cfixmat.">operator+</a>(<span class="keyword">const</span> sparse_imat &amp;, <span class="keyword">const</span> sparse_imat &amp;);
946<a name="l01033"></a>01033 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_mat <a class="code" href="group__fixed.html#g683d6c037357e472e84756fe1b1faae8" title="Fix + cfixmat.">operator+</a>(<span class="keyword">const</span> sparse_mat &amp;, <span class="keyword">const</span> sparse_mat &amp;);
947<a name="l01034"></a>01034 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_cmat <a class="code" href="group__fixed.html#g683d6c037357e472e84756fe1b1faae8" title="Fix + cfixmat.">operator+</a>(<span class="keyword">const</span> sparse_cmat &amp;, <span class="keyword">const</span> sparse_cmat &amp;);
948<a name="l01035"></a>01035
949<a name="l01036"></a>01036 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_imat <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> sparse_imat &amp;, <span class="keyword">const</span> sparse_imat &amp;);
950<a name="l01037"></a>01037 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_mat <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> sparse_mat &amp;, <span class="keyword">const</span> sparse_mat &amp;);
951<a name="l01038"></a>01038 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_cmat <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> sparse_cmat &amp;, <span class="keyword">const</span> sparse_cmat &amp;);
952<a name="l01039"></a>01039
953<a name="l01040"></a>01040 <span class="keyword">extern</span> <span class="keyword">template</span> ivec <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> ivec &amp;, <span class="keyword">const</span> sparse_imat &amp;);
954<a name="l01041"></a>01041 <span class="keyword">extern</span> <span class="keyword">template</span> vec <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> vec &amp;, <span class="keyword">const</span> sparse_mat &amp;);
955<a name="l01042"></a>01042 <span class="keyword">extern</span> <span class="keyword">template</span> cvec <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> cvec &amp;, <span class="keyword">const</span> sparse_cmat &amp;);
956<a name="l01043"></a>01043
957<a name="l01044"></a>01044 <span class="keyword">extern</span> <span class="keyword">template</span> ivec <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> sparse_imat &amp;, <span class="keyword">const</span> ivec &amp;);
958<a name="l01045"></a>01045 <span class="keyword">extern</span> <span class="keyword">template</span> vec <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> sparse_mat &amp;, <span class="keyword">const</span> vec &amp;);
959<a name="l01046"></a>01046 <span class="keyword">extern</span> <span class="keyword">template</span> cvec <a class="code" href="group__fixed.html#g8bb80689611f7b6b0e36f5507d990af7" title="Fix * cfixmat.">operator*</a>(<span class="keyword">const</span> sparse_cmat &amp;, <span class="keyword">const</span> cvec &amp;);
960<a name="l01047"></a>01047
961<a name="l01048"></a>01048 <span class="keyword">extern</span> <span class="keyword">template</span> imat trans_mult(<span class="keyword">const</span> sparse_imat &amp;);
962<a name="l01049"></a>01049 <span class="keyword">extern</span> <span class="keyword">template</span> mat trans_mult(<span class="keyword">const</span> sparse_mat &amp;);
963<a name="l01050"></a>01050 <span class="keyword">extern</span> <span class="keyword">template</span> cmat trans_mult(<span class="keyword">const</span> sparse_cmat &amp;);
964<a name="l01051"></a>01051
965<a name="l01052"></a>01052 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_imat trans_mult_s(<span class="keyword">const</span> sparse_imat &amp;);
966<a name="l01053"></a>01053 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_mat trans_mult_s(<span class="keyword">const</span> sparse_mat &amp;);
967<a name="l01054"></a>01054 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_cmat trans_mult_s(<span class="keyword">const</span> sparse_cmat &amp;);
968<a name="l01055"></a>01055
969<a name="l01056"></a>01056 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_imat trans_mult(<span class="keyword">const</span> sparse_imat &amp;, <span class="keyword">const</span> sparse_imat &amp;);
970<a name="l01057"></a>01057 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_mat trans_mult(<span class="keyword">const</span> sparse_mat &amp;, <span class="keyword">const</span> sparse_mat &amp;);
971<a name="l01058"></a>01058 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_cmat trans_mult(<span class="keyword">const</span> sparse_cmat &amp;, <span class="keyword">const</span> sparse_cmat &amp;);
972<a name="l01059"></a>01059
973<a name="l01060"></a>01060 <span class="keyword">extern</span> <span class="keyword">template</span> ivec trans_mult(<span class="keyword">const</span> sparse_imat &amp;, <span class="keyword">const</span> ivec &amp;);
974<a name="l01061"></a>01061 <span class="keyword">extern</span> <span class="keyword">template</span> vec trans_mult(<span class="keyword">const</span> sparse_mat &amp;, <span class="keyword">const</span> vec &amp;);
975<a name="l01062"></a>01062 <span class="keyword">extern</span> <span class="keyword">template</span> cvec trans_mult(<span class="keyword">const</span> sparse_cmat &amp;, <span class="keyword">const</span> cvec &amp;);
976<a name="l01063"></a>01063
977<a name="l01064"></a>01064 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_imat mult_trans(<span class="keyword">const</span> sparse_imat &amp;, <span class="keyword">const</span> sparse_imat &amp;);
978<a name="l01065"></a>01065 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_mat mult_trans(<span class="keyword">const</span> sparse_mat &amp;, <span class="keyword">const</span> sparse_mat &amp;);
979<a name="l01066"></a>01066 <span class="keyword">extern</span> <span class="keyword">template</span> sparse_cmat mult_trans(<span class="keyword">const</span> sparse_cmat &amp;, <span class="keyword">const</span> sparse_cmat &amp;);
980<a name="l01067"></a>01067
981<a name="l01068"></a>01068 <span class="preprocessor">#endif // HAVE_EXTERN_TEMPLATE</span>
982<a name="l01069"></a>01069 <span class="preprocessor"></span>
983<a name="l01071"></a>01071
984<a name="l01072"></a>01072 } <span class="comment">// namespace itpp</span>
985<a name="l01073"></a>01073
986<a name="l01074"></a>01074 <span class="preprocessor">#endif // #ifndef SMAT_H</span>
987<a name="l01075"></a>01075 <span class="preprocessor"></span>
988</pre></div></div>
989<hr size="1"><address style="text-align: right;"><small>Generated on Tue Jun 2 10:02:13 2009 for mixpp by&nbsp;
990<a href="http://www.doxygen.org/index.html">
991<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.8 </small></address>
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