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    <title>topic Sparse matrix converters in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-matrix-converters/m-p/789953#M2156</link>
    <description>Thanks for the hint! The matrix belongs to a network and the diagonal is explicitly calculated and non-zero.&lt;BR /&gt;</description>
    <pubDate>Mon, 19 Mar 2012 22:29:24 GMT</pubDate>
    <dc:creator>Petros</dc:creator>
    <dc:date>2012-03-19T22:29:24Z</dc:date>
    <item>
      <title>Sparse matrix converters</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-matrix-converters/m-p/789950#M2153</link>
      <description>Hi,&lt;BR /&gt;&lt;BR /&gt;I have an old fortran application which uses a sparse linear solver called "hsl ma37" which receives the data in coordinate system. The easiness of inputing the data is that you can add them in any order i.e. you can have (1,2,1) and (1,2,3) and the solver will take care to add them and make (1,2,4).&lt;BR /&gt;&lt;BR /&gt;I want to use the mkl_dcsrcoo to convert the matrix to csr form in order to try some newer solvers before I restructure the program to save in csr form.&lt;BR /&gt;&lt;BR /&gt;So here comes my question: Will the procedure take care of the duplicate entries?&lt;BR /&gt;&lt;BR /&gt;Thanks in advance,&lt;BR /&gt;Petros&lt;BR /&gt;</description>
      <pubDate>Thu, 15 Mar 2012 21:15:10 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-matrix-converters/m-p/789950#M2153</guid>
      <dc:creator>Petros</dc:creator>
      <dc:date>2012-03-15T21:15:10Z</dc:date>
    </item>
    <item>
      <title>Sparse matrix converters</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-matrix-converters/m-p/789951#M2154</link>
      <description>Petros,&lt;BR /&gt;&lt;BR /&gt;The converter doesn't take care of the duplicate entries. In your case, two entries (1,2,1) and (1, 2,3) will exist in the CSR representation. &lt;BR /&gt;&lt;BR /&gt;All the best&lt;BR /&gt;Sergey</description>
      <pubDate>Mon, 19 Mar 2012 04:04:29 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-matrix-converters/m-p/789951#M2154</guid>
      <dc:creator>Sergey_K_Intel1</dc:creator>
      <dc:date>2012-03-19T04:04:29Z</dc:date>
    </item>
    <item>
      <title>Sparse matrix converters</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-matrix-converters/m-p/789952#M2155</link>
      <description>There is another thing to watch out for. Some of the sparse matrix routines that you are trying out may require that zero-valued diagonal elements be included explicitly, with some sparse storage schemes. Be sure to check the documentation of each routine that you use to see if this requirement is specified.</description>
      <pubDate>Mon, 19 Mar 2012 18:49:18 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-matrix-converters/m-p/789952#M2155</guid>
      <dc:creator>mecej4</dc:creator>
      <dc:date>2012-03-19T18:49:18Z</dc:date>
    </item>
    <item>
      <title>Sparse matrix converters</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-matrix-converters/m-p/789953#M2156</link>
      <description>Thanks for the hint! The matrix belongs to a network and the diagonal is explicitly calculated and non-zero.&lt;BR /&gt;</description>
      <pubDate>Mon, 19 Mar 2012 22:29:24 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Sparse-matrix-converters/m-p/789953#M2156</guid>
      <dc:creator>Petros</dc:creator>
      <dc:date>2012-03-19T22:29:24Z</dc:date>
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