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    <title>topic solving symmetric but not hermitian matrix system in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/solving-symmetric-but-not-hermitian-matrix-system/m-p/811549#M3967</link>
    <description>Him&lt;DIV&gt;If your matrix is sparse you could use PARDISO functionality. But could you describe what you mean when wrote about distribution of matrix A?&lt;/DIV&gt;&lt;DIV&gt;With best regards,&lt;/DIV&gt;&lt;DIV&gt;Alexander Kalinkin&lt;/DIV&gt;</description>
    <pubDate>Sun, 05 Jun 2011 16:45:05 GMT</pubDate>
    <dc:creator>Alexander_K_Intel2</dc:creator>
    <dc:date>2011-06-05T16:45:05Z</dc:date>
    <item>
      <title>solving symmetric but not hermitian matrix system</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/solving-symmetric-but-not-hermitian-matrix-system/m-p/811548#M3966</link>
      <description>Hi,&lt;BR /&gt;Itry to solvea linear equation system ,Ax=b,&lt;BR /&gt;A is complex, symmetric not hermitian, and very large matrix.&lt;BR /&gt;It's sizeis nearly 100000x100000.I have to distribute matrix A.&lt;BR /&gt;I can solve the systemwhose size is 15000x 15000 bypzgesv_ routine, so I fill the full matrix.&lt;BR /&gt;&lt;BR /&gt;Is there a way to solve symmetric but not hermitian matrix sytem by one of mkl routineswithout filling the full matrix . I couldn't find any routines for my problem.the mkl's routines are generally for Hermitian positive definite system. &lt;BR /&gt;I would appreciate your help,&lt;BR /&gt;Thanks&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;</description>
      <pubDate>Sun, 05 Jun 2011 03:16:20 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/solving-symmetric-but-not-hermitian-matrix-system/m-p/811548#M3966</guid>
      <dc:creator>oguren</dc:creator>
      <dc:date>2011-06-05T03:16:20Z</dc:date>
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    <item>
      <title>solving symmetric but not hermitian matrix system</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/solving-symmetric-but-not-hermitian-matrix-system/m-p/811549#M3967</link>
      <description>Him&lt;DIV&gt;If your matrix is sparse you could use PARDISO functionality. But could you describe what you mean when wrote about distribution of matrix A?&lt;/DIV&gt;&lt;DIV&gt;With best regards,&lt;/DIV&gt;&lt;DIV&gt;Alexander Kalinkin&lt;/DIV&gt;</description>
      <pubDate>Sun, 05 Jun 2011 16:45:05 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/solving-symmetric-but-not-hermitian-matrix-system/m-p/811549#M3967</guid>
      <dc:creator>Alexander_K_Intel2</dc:creator>
      <dc:date>2011-06-05T16:45:05Z</dc:date>
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