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    <title>topic Re: SVD whit GESVD in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/SVD-whit-GESVD/m-p/871439#M8539</link>
    <description>&lt;P&gt;SVD is usually written as&lt;/P&gt;
&lt;P&gt;A = U*S*V(H)&lt;/P&gt;
&lt;P&gt;where U and V are orthogonal (unitary) matrices, S is diagonal with the singular values on the diagonal.&lt;/P&gt;
&lt;P&gt;It's the onlyform of SVD. What do you mean by matrices T and D?&lt;/P&gt;
&lt;P&gt;BTW, transposed and hermitian transposed matrix V is the same in case of real matrix A.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;Michael.&lt;/P&gt;</description>
    <pubDate>Wed, 18 Jun 2008 15:21:02 GMT</pubDate>
    <dc:creator>Michael_C_Intel4</dc:creator>
    <dc:date>2008-06-18T15:21:02Z</dc:date>
    <item>
      <title>SVD whit GESVD</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/SVD-whit-GESVD/m-p/871438#M8538</link>
      <description>&lt;P&gt;I calculate the SVD of a real matrix A. I used the LAPACK &lt;FONT face="Courier New"&gt;?gesvd&lt;/FONT&gt;, but with this function I have get the following decomposition: &lt;/P&gt; &lt;BR /&gt; &lt;B&gt;A = T*S*V&lt;SUP&gt;H&lt;/SUP&gt;&lt;/B&gt;&lt;BR /&gt; &lt;BR /&gt; But I want to get the decomposition: &lt;BR /&gt; &lt;BR /&gt; &lt;B&gt;A = D*S*V&lt;SUP&gt;T&lt;/SUP&gt;&lt;/B&gt;&lt;BR /&gt; &lt;BR /&gt; How can I do? What function should I use?</description>
      <pubDate>Thu, 03 Jan 2008 15:35:32 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/SVD-whit-GESVD/m-p/871438#M8538</guid>
      <dc:creator>anacondgame</dc:creator>
      <dc:date>2008-01-03T15:35:32Z</dc:date>
    </item>
    <item>
      <title>Re: SVD whit GESVD</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/SVD-whit-GESVD/m-p/871439#M8539</link>
      <description>&lt;P&gt;SVD is usually written as&lt;/P&gt;
&lt;P&gt;A = U*S*V(H)&lt;/P&gt;
&lt;P&gt;where U and V are orthogonal (unitary) matrices, S is diagonal with the singular values on the diagonal.&lt;/P&gt;
&lt;P&gt;It's the onlyform of SVD. What do you mean by matrices T and D?&lt;/P&gt;
&lt;P&gt;BTW, transposed and hermitian transposed matrix V is the same in case of real matrix A.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;Michael.&lt;/P&gt;</description>
      <pubDate>Wed, 18 Jun 2008 15:21:02 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/SVD-whit-GESVD/m-p/871439#M8539</guid>
      <dc:creator>Michael_C_Intel4</dc:creator>
      <dc:date>2008-06-18T15:21:02Z</dc:date>
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