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    <title>topic generalized symmetric-definite eigenvalue problem with a shift in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/generalized-symmetric-definite-eigenvalue-problem-with-a-shift/m-p/1146751#M26746</link>
    <description>&lt;P&gt;Hello.&lt;/P&gt;&lt;P&gt;I have two matrices A and B and I want to solve the general eigenvalue Ax=λBx where B is positive&amp;nbsp;definite and A is semi positive definite with the smallest&amp;nbsp;eigenvalue of 0. So A is rank-deficient(ill-conditioned&amp;nbsp;as a result); so I need a shift-inverse method. How can I implement using an mkl routine, either feast or lapack.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks.&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Mon, 25 Nov 2019 19:34:44 GMT</pubDate>
    <dc:creator>upsilon58</dc:creator>
    <dc:date>2019-11-25T19:34:44Z</dc:date>
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      <title>generalized symmetric-definite eigenvalue problem with a shift</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/generalized-symmetric-definite-eigenvalue-problem-with-a-shift/m-p/1146751#M26746</link>
      <description>&lt;P&gt;Hello.&lt;/P&gt;&lt;P&gt;I have two matrices A and B and I want to solve the general eigenvalue Ax=λBx where B is positive&amp;nbsp;definite and A is semi positive definite with the smallest&amp;nbsp;eigenvalue of 0. So A is rank-deficient(ill-conditioned&amp;nbsp;as a result); so I need a shift-inverse method. How can I implement using an mkl routine, either feast or lapack.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks.&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 25 Nov 2019 19:34:44 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/generalized-symmetric-definite-eigenvalue-problem-with-a-shift/m-p/1146751#M26746</guid>
      <dc:creator>upsilon58</dc:creator>
      <dc:date>2019-11-25T19:34:44Z</dc:date>
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