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<h1><img src="../../../../boost.png" align="middle" />Special Products </h1>
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<h2>Functions</h2>

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<td class="memItemLeft" nowrap align=right valign=top>template&lt;class V, class E1, class E2&gt; BOOST_UBLAS_INLINE V &amp;&nbsp;</td>
<td class="memItemRight" valign=bottom><a class="el" href="#ga8">axpy_prod</a> (const matrix_expression&lt; E1 &gt; &amp;e1, const vector_expression&lt; E2 &gt; &amp;e2, V &amp;v, bool init=true)</td></tr>

<tr>
<td class="mdescLeft">&nbsp;</td>
<td class="mdescRight">computes <code>v += A x</code> or <code>v = A x</code> in an optimized fashion.  <a href="#ga8"></a><br /><br /></td></tr>
<tr>
<td class="memItemLeft" nowrap align=right valign=top>template&lt;class V, class E1, class E2&gt; BOOST_UBLAS_INLINE V &amp;&nbsp;</td>
<td class="memItemRight" valign=bottom><a class="el" href="#ga9">axpy_prod</a> (const vector_expression&lt; E1 &gt; &amp;e1, const matrix_expression&lt; E2 &gt; &amp;e2, V &amp;v, bool init=true)</td></tr>

<tr>
<td class="mdescLeft">&nbsp;</td>
<td class="mdescRight">computes <code>v += A<sup>T</sup> x</code> or <code>v = A<sup>T</sup> x</code> in an optimized fashion.  <a href="#ga9"></a><br /><br /></td></tr>
<tr>
<td class="memItemLeft" nowrap align=right valign=top>template&lt;class M, class E1, class E2&gt; BOOST_UBLAS_INLINE M &amp;&nbsp;</td>
<td class="memItemRight" valign=bottom><a class="el" href="#ga7">axpy_prod</a> (const matrix_expression&lt; E1 &gt; &amp;e1, const matrix_expression&lt; E2 &gt; &amp;e2, M &amp;m, bool init=true)</td></tr>

<tr>
<td class="mdescLeft">&nbsp;</td>
<td class="mdescRight">computes <code>M += A X</code> or <code>M = A X</code> in an optimized fashion.  <a href="#ga7"></a><br /><br /></td></tr>
<tr>
<td class="memItemLeft" nowrap align=right valign=top>template&lt;class M, class E1, class E2&gt; BOOST_UBLAS_INLINE M &amp;&nbsp;</td>
<td class="memItemRight" valign=bottom><a class="el" href="#ga6">opb_prod</a> (const matrix_expression&lt; E1 &gt; &amp;e1, const matrix_expression&lt; E2 &gt; &amp;e2, M &amp;m, bool init=true)</td></tr>

<tr>
<td class="mdescLeft">&nbsp;</td>
<td class="mdescRight">computes <code>M += A X</code> or <code>M = A X</code> in an optimized fashion.  <a href="#ga6"></a><br /><br /></td></tr>
</table>

<hr />

<a class="anchor" name="ga8" doxytag="boost::numeric::ublas::axpy_prod" ></a>
<table summary="" class="mdTable" width="95%" cellpadding="2" cellspacing="0">
  <tr>
    <td class="mdRow">
      <table summary="" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td class="md" nowrap valign="top"> BOOST_UBLAS_INLINE V&amp; axpy_prod           </td>
          <td class="md" valign="top">(&nbsp;</td>
          <td class="md" nowrap valign="top">const matrix_expression&lt; E1 &gt; &amp;&nbsp;</td>
          <td class="mdname" nowrap> <em>e1</em>, </td>
        </tr>
        <tr>
          <td class="md" nowrap align="right"></td>
          <td></td>
          <td class="md" nowrap>const vector_expression&lt; E2 &gt; &amp;&nbsp;</td>
          <td class="mdname" nowrap> <em>e2</em>, </td>
        </tr>
        <tr>
          <td class="md" nowrap align="right"></td>
          <td></td>
          <td class="md" nowrap>V &amp;&nbsp;</td>
          <td class="mdname" nowrap> <em>v</em>, </td>
        </tr>
        <tr>
          <td class="md" nowrap align="right"></td>
          <td></td>
          <td class="md" nowrap>bool&nbsp;</td>
          <td class="mdname" nowrap> <em>init</em> = <code>true</code></td>
        </tr>
        <tr>
          <td></td>
          <td class="md">)&nbsp;</td>
          <td class="md" colspan="2"></td>
        </tr>
      </table>
    </td>
  </tr>
</table>
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  <tr>
    <td>
      &nbsp;
    </td>
    <td>

<p>
computes <code>v += A x</code> or <code>v = A x</code> in an optimized fashion. 
</p>
<dl compact><dt><b>Parameters:</b></dt><dd>
  <table summary="" border="0" cellspacing="2" cellpadding="0">
    <tr><td></td><td valign=top><em>e1</em>&nbsp;</td><td>the matrix expression <code>A</code> </td></tr>
    <tr><td></td><td valign=top><em>e2</em>&nbsp;</td><td>the vector expression <code>x</code> </td></tr>
    <tr><td></td><td valign=top><em>v</em>&nbsp;</td><td>the result vector <code>v</code> </td></tr>
    <tr><td></td><td valign=top><em>init</em>&nbsp;</td><td>a boolean parameter</td></tr>
  </table>
</dl>
<code>axpy_prod(A, x, v, init)</code> implements the well known axpy-product. Setting <em>init</em> to <code>true</code> is equivalent to call <code>v.clear()</code> before <code>axpy_prod</code>. Currently <em>init</em> defaults to <code>true</code>, but this may change in the future.<p>
Up to now there are some specialisation for compressed matrices that give a large speed up compared to prod.    </td>
  </tr>
</table>


<a class="anchor" name="ga9" doxytag="boost::numeric::ublas::axpy_prod" ></a>
<table summary="" class="mdTable" width="95%" cellpadding="2" cellspacing="0">
  <tr>
    <td class="mdRow">
      <table summary="" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td class="md" nowrap valign="top"> BOOST_UBLAS_INLINE V&amp; axpy_prod           </td>
          <td class="md" valign="top">(&nbsp;</td>
          <td class="md" nowrap valign="top">const vector_expression&lt; E1 &gt; &amp;&nbsp;</td>
          <td class="mdname" nowrap> <em>e1</em>, </td>
        </tr>
        <tr>
          <td class="md" nowrap align="right"></td>
          <td></td>
          <td class="md" nowrap>const matrix_expression&lt; E2 &gt; &amp;&nbsp;</td>
          <td class="mdname" nowrap> <em>e2</em>, </td>
        </tr>
        <tr>
          <td class="md" nowrap align="right"></td>
          <td></td>
          <td class="md" nowrap>V &amp;&nbsp;</td>
          <td class="mdname" nowrap> <em>v</em>, </td>
        </tr>
        <tr>
          <td class="md" nowrap align="right"></td>
          <td></td>
          <td class="md" nowrap>bool&nbsp;</td>
          <td class="mdname" nowrap> <em>init</em> = <code>true</code></td>
        </tr>
        <tr>
          <td></td>
          <td class="md">)&nbsp;</td>
          <td class="md" colspan="2"></td>
        </tr>
      </table>
    </td>
  </tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
  <tr>
    <td>
      &nbsp;
    </td>
    <td>

<p>
computes <code>v += A<sup>T</sup> x</code> or <code>v = A<sup>T</sup> x</code> in an optimized fashion. 
</p>
<dl compact><dt><b>Parameters:</b></dt><dd>
  <table summary="" border="0" cellspacing="2" cellpadding="0">
    <tr><td></td><td valign=top><em>e1</em>&nbsp;</td><td>the vector expression <code>x</code> </td></tr>
    <tr><td></td><td valign=top><em>e2</em>&nbsp;</td><td>the matrix expression <code>A</code> </td></tr>
    <tr><td></td><td valign=top><em>v</em>&nbsp;</td><td>the result vector <code>v</code> </td></tr>
    <tr><td></td><td valign=top><em>init</em>&nbsp;</td><td>a boolean parameter</td></tr>
  </table>
</dl>
<code>axpy_prod(x, A, v, init)</code> implements the well known axpy-product. Setting <em>init</em> to <code>true</code> is equivalent to call <code>v.clear()</code> before <code>axpy_prod</code>. Currently <em>init</em> defaults to <code>true</code>, but this may change in the future.<p>
Up to now there are some specialisation for compressed matrices that give a large speed up compared to prod.    </td>
  </tr>
</table>

<a class="anchor" name="ga7" doxytag="boost::numeric::ublas::axpy_prod" ></a>
<table summary="" class="mdTable" width="95%" cellpadding="2" cellspacing="0">
  <tr>
    <td class="mdRow">
      <table summary="" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td class="md" nowrap valign="top"> BOOST_UBLAS_INLINE M&amp; axpy_prod           </td>
          <td class="md" valign="top">(&nbsp;</td>
          <td class="md" nowrap valign="top">const matrix_expression&lt; E1 &gt; &amp;&nbsp;</td>
          <td class="mdname" nowrap> <em>e1</em>, </td>
        </tr>
        <tr>
          <td class="md" nowrap align="right"></td>
          <td></td>
          <td class="md" nowrap>const matrix_expression&lt; E2 &gt; &amp;&nbsp;</td>
          <td class="mdname" nowrap> <em>e2</em>, </td>
        </tr>
        <tr>
          <td class="md" nowrap align="right"></td>
          <td></td>
          <td class="md" nowrap>M &amp;&nbsp;</td>
          <td class="mdname" nowrap> <em>m</em>, </td>
        </tr>
        <tr>
          <td class="md" nowrap align="right"></td>
          <td></td>
          <td class="md" nowrap>bool&nbsp;</td>
          <td class="mdname" nowrap> <em>init</em> = <code>true</code></td>
        </tr>
        <tr>
          <td></td>
          <td class="md">)&nbsp;</td>
          <td class="md" colspan="2"></td>
        </tr>
      </table>
    </td>
  </tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
  <tr>
    <td>
      &nbsp;
    </td>
    <td>

<p>
computes <code>M += A X</code> or <code>M = A X</code> in an optimized fashion. 
</p>
<dl compact><dt><b>Parameters:</b></dt><dd>
  <table summary="" border="0" cellspacing="2" cellpadding="0">
    <tr><td></td><td valign=top><em>e1</em>&nbsp;</td><td>the matrix expression <code>A</code> </td></tr>
    <tr><td></td><td valign=top><em>e2</em>&nbsp;</td><td>the matrix expression <code>X</code> </td></tr>
    <tr><td></td><td valign=top><em>m</em>&nbsp;</td><td>the result matrix <code>M</code> </td></tr>
    <tr><td></td><td valign=top><em>init</em>&nbsp;</td><td>a boolean parameter</td></tr>
  </table>
</dl>
<code>axpy_prod(A, X, M, init)</code> implements the well known axpy-product. Setting <em>init</em> to <code>true</code> is equivalent to call <code>M.clear()</code> before <code>axpy_prod</code>. Currently <em>init</em> defaults to <code>true</code>, but this may change in the future.<p>
Up to now there are no specialisations.    </td>
  </tr>
</table>

<a class="anchor" name="ga6" doxytag="boost::numeric::ublas::opb_prod" ></a>

<table summary="" class="mdTable" width="95%" cellpadding="2" cellspacing="0">
  <tr>
    <td class="mdRow">
      <table summary="" cellpadding="0" cellspacing="0" border="0">
        <tr>
          <td class="md" nowrap valign="top"> BOOST_UBLAS_INLINE M&amp; opb_prod           </td>
          <td class="md" valign="top">(&nbsp;</td>
          <td class="md" nowrap valign="top">const matrix_expression&lt; E1 &gt; &amp;&nbsp;</td>
          <td class="mdname" nowrap> <em>e1</em>, </td>
        </tr>
        <tr>
          <td class="md" nowrap align="right"></td>
          <td></td>
          <td class="md" nowrap>const matrix_expression&lt; E2 &gt; &amp;&nbsp;</td>
          <td class="mdname" nowrap> <em>e2</em>, </td>
        </tr>
        <tr>
          <td class="md" nowrap align="right"></td>
          <td></td>
          <td class="md" nowrap>M &amp;&nbsp;</td>
          <td class="mdname" nowrap> <em>m</em>, </td>
        </tr>
        <tr>
          <td class="md" nowrap align="right"></td>
          <td></td>
          <td class="md" nowrap>bool&nbsp;</td>
          <td class="mdname" nowrap> <em>init</em> = <code>true</code></td>
        </tr>
        <tr>
          <td></td>
          <td class="md">)&nbsp;</td>
          <td class="md" colspan="2"></td>
        </tr>
      </table>
    </td>
  </tr>
</table>
<table summary="" cellspacing=5 cellpadding=0 border=0>
  <tr>
    <td>
      &nbsp;
    </td>
    <td>

<p>
computes <code>M += A X</code> or <code>M = A X</code> in an optimized fashion. 
</p>
<dl compact><dt><b>Parameters:</b></dt><dd>
  <table summary="" border="0" cellspacing="2" cellpadding="0">
    <tr><td></td><td valign=top><em>e1</em>&nbsp;</td><td>the matrix expression <code>A</code> </td></tr>
    <tr><td></td><td valign=top><em>e2</em>&nbsp;</td><td>the matrix expression <code>X</code> </td></tr>
    <tr><td></td><td valign=top><em>m</em>&nbsp;</td><td>the result matrix <code>M</code> </td></tr>
    <tr><td></td><td valign=top><em>init</em>&nbsp;</td><td>a boolean parameter</td></tr>
  </table>
</dl>
<code>opb_prod(A, X, M, init)</code> implements the well known axpy-product. Setting <em>init</em> to <code>true</code> is equivalent to call <code>M.clear()</code> before <code>opb_prod</code>. Currently <em>init</em> defaults to <code>true</code>, but this may change in the future.<p>
This function may give a speedup if <code>A</code> has less columns than rows, because the product is computed as a sum of outer products.    </td>
  </tr>
</table>


<hr />
<p>Copyright (&copy;) 2000-2004 Michael Stevens, Mathias Koch, 
Joerg Walter, Gunter Winkler<br />
   Use, modification and distribution are subject to the
   Boost Software License, Version 1.0.
   (See accompanying file LICENSE_1_0.txt
   or copy at <a href="http://www.boost.org/LICENSE_1_0.txt">
      http://www.boost.org/LICENSE_1_0.txt
   </a>).
</p>
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