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    <title>topic Pardiso Schur Complement Memory Allocation in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Pardiso-Schur-Complement-Memory-Allocation/m-p/1121654#M25007</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;

&lt;P&gt;I was just looking at the Schur Complement functionality of Pardiso and was studying the documentation for quite some time but there are still two things that I don't understand:&lt;/P&gt;

&lt;P&gt;- How much memory should I allocate for the vector x when iparm(36)=1 or 2? (Obviously it can be bigger than n (the number of equations).&lt;/P&gt;

&lt;P&gt;- What is the format in which the matrix is returned. It seems to be row-major dense format?&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;

&lt;P&gt;It would be very helpful if the documentation was more clear about this.&lt;/P&gt;

&lt;P&gt;Thank you for your help,&lt;/P&gt;

&lt;P&gt;Raffael&lt;/P&gt;</description>
    <pubDate>Wed, 23 Mar 2016 18:52:45 GMT</pubDate>
    <dc:creator>Raffael_C_</dc:creator>
    <dc:date>2016-03-23T18:52:45Z</dc:date>
    <item>
      <title>Pardiso Schur Complement Memory Allocation</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Pardiso-Schur-Complement-Memory-Allocation/m-p/1121654#M25007</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;

&lt;P&gt;I was just looking at the Schur Complement functionality of Pardiso and was studying the documentation for quite some time but there are still two things that I don't understand:&lt;/P&gt;

&lt;P&gt;- How much memory should I allocate for the vector x when iparm(36)=1 or 2? (Obviously it can be bigger than n (the number of equations).&lt;/P&gt;

&lt;P&gt;- What is the format in which the matrix is returned. It seems to be row-major dense format?&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;

&lt;P&gt;It would be very helpful if the documentation was more clear about this.&lt;/P&gt;

&lt;P&gt;Thank you for your help,&lt;/P&gt;

&lt;P&gt;Raffael&lt;/P&gt;</description>
      <pubDate>Wed, 23 Mar 2016 18:52:45 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Pardiso-Schur-Complement-Memory-Allocation/m-p/1121654#M25007</guid>
      <dc:creator>Raffael_C_</dc:creator>
      <dc:date>2016-03-23T18:52:45Z</dc:date>
    </item>
    <item>
      <title>HI Raffael,</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Pardiso-Schur-Complement-Memory-Allocation/m-p/1121655#M25008</link>
      <description>&lt;P&gt;HI Raffael,&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;- How much memory should I allocate for the vector x when iparm(36)=1 or 2? (Obviously it can be bigger than n (the number of equations).&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;[akalinki] Schur complement is the dense matrix K by K where K is number of unit element in perm array, so you need to provide array with size K*K*sizeof(data)&amp;nbsp;&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;- What is the format in which the matrix is returned. It seems to be row-major dense format?&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;[akalinki] correct&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;Thanks,&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;Alex&lt;/P&gt;</description>
      <pubDate>Thu, 24 Mar 2016 04:25:37 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Pardiso-Schur-Complement-Memory-Allocation/m-p/1121655#M25008</guid>
      <dc:creator>Alexander_K_Intel2</dc:creator>
      <dc:date>2016-03-24T04:25:37Z</dc:date>
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