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    <title>topic @Gennady, in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/tridiagonal-matrix-solution/m-p/1090892#M23258</link>
    <description>&lt;P&gt;@Gennady,&lt;/P&gt;

&lt;P&gt;Documentation of &lt;A href="https://software.intel.com/en-us/mkl-developer-reference-c-gtsv"&gt;?gtsv&lt;/A&gt; states:&lt;/P&gt;

&lt;BLOCKQUOTE&gt;
	&lt;P&gt;The routine uses Gaussian elimination with partial pivoting.&lt;/P&gt;
&lt;/BLOCKQUOTE&gt;

&lt;P&gt;How come it doesn't use &lt;A href="https://en.wikipedia.org/wiki/Tridiagonal_matrix_algorithm"&gt;Thomas Algorithm&lt;/A&gt;?&lt;BR /&gt;
	How does it compare to vanilla Thomas Algorithm in performance?&lt;/P&gt;</description>
    <pubDate>Sat, 11 Aug 2018 21:37:47 GMT</pubDate>
    <dc:creator>Royi</dc:creator>
    <dc:date>2018-08-11T21:37:47Z</dc:date>
    <item>
      <title>tridiagonal matrix solution</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/tridiagonal-matrix-solution/m-p/1090889#M23255</link>
      <description>&lt;P&gt;I have tried to understand if MKL provides a faster method for the solution of simple linear tri-diagonal systems which can be easily solved with simple Gaussian elimination.&lt;BR /&gt;
	​I am using PARDISO in different cases.&lt;BR /&gt;
	&lt;BR /&gt;
	&amp;nbsp;&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 15 Apr 2016 09:53:10 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/tridiagonal-matrix-solution/m-p/1090889#M23255</guid>
      <dc:creator>LRaim</dc:creator>
      <dc:date>2016-04-15T09:53:10Z</dc:date>
    </item>
    <item>
      <title>Pardiso is not the best</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/tridiagonal-matrix-solution/m-p/1090890#M23256</link>
      <description>&lt;P&gt;Pardiso is not the best choice for solving banded linear equations. Please consider using the MKL/Lapack banded equations solvers ?gbslv with bandwidths k&lt;SUB&gt;l&lt;/SUB&gt; = k&lt;SUB&gt;u&lt;/SUB&gt; = 1, see&amp;nbsp;https://software.intel.com/en-us/node/468882 .&lt;/P&gt;</description>
      <pubDate>Fri, 15 Apr 2016 19:42:20 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/tridiagonal-matrix-solution/m-p/1090890#M23256</guid>
      <dc:creator>mecej4</dc:creator>
      <dc:date>2016-04-15T19:42:20Z</dc:date>
    </item>
    <item>
      <title>you may also try to evaluate</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/tridiagonal-matrix-solution/m-p/1090891#M23257</link>
      <description>&lt;P&gt;&lt;SPAN style="color: rgb(51, 51, 51); font-family: 'Courier New', Courier, monospace; font-size: 13.3333px; line-height: 20px;"&gt;you may also try to evaluate ?gtsv ( &lt;/SPAN&gt;&lt;SPAN style="color: rgb(51, 51, 51); font-family: 'Intel Clear', Verdana, Arial, sans-serif; font-size: 13.3333px; line-height: 21.3333px;"&gt;C&lt;/SPAN&gt;&lt;SPAN style="color: rgb(51, 51, 51); font-family: 'Intel Clear', Verdana, Arial, sans-serif; font-size: 13.3333px; line-height: 21.3333px;"&gt;omputes the solution to the system of linear equations with a tridiagonal coefficient matrix A and multiple right-hand sides )&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 16 Apr 2016 06:52:47 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/tridiagonal-matrix-solution/m-p/1090891#M23257</guid>
      <dc:creator>Gennady_F_Intel</dc:creator>
      <dc:date>2016-04-16T06:52:47Z</dc:date>
    </item>
    <item>
      <title>@Gennady,</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/tridiagonal-matrix-solution/m-p/1090892#M23258</link>
      <description>&lt;P&gt;@Gennady,&lt;/P&gt;

&lt;P&gt;Documentation of &lt;A href="https://software.intel.com/en-us/mkl-developer-reference-c-gtsv"&gt;?gtsv&lt;/A&gt; states:&lt;/P&gt;

&lt;BLOCKQUOTE&gt;
	&lt;P&gt;The routine uses Gaussian elimination with partial pivoting.&lt;/P&gt;
&lt;/BLOCKQUOTE&gt;

&lt;P&gt;How come it doesn't use &lt;A href="https://en.wikipedia.org/wiki/Tridiagonal_matrix_algorithm"&gt;Thomas Algorithm&lt;/A&gt;?&lt;BR /&gt;
	How does it compare to vanilla Thomas Algorithm in performance?&lt;/P&gt;</description>
      <pubDate>Sat, 11 Aug 2018 21:37:47 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/tridiagonal-matrix-solution/m-p/1090892#M23258</guid>
      <dc:creator>Royi</dc:creator>
      <dc:date>2018-08-11T21:37:47Z</dc:date>
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