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    <title>topic EigenValsVecs question in Intel® Integrated Performance Primitives</title>
    <link>https://community.intel.com/t5/Intel-Integrated-Performance/EigenValsVecs-question/m-p/1066379#M24364</link>
    <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;

&lt;P&gt;Hello! I compared results of EigenValsVecs functions in IPP and OpenCV and found that in some cases ippiEigenValsVecs function returns exactly (1.0f, 0.0f) and (0.0f, 1.0f) eigen vectors although OpenCV returns eigen vectors which are not even close to vectors obtained with IPP.&lt;/P&gt;

&lt;P&gt;For example with input 5x5 matrix&lt;/P&gt;

&lt;P&gt;-116.127525f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; -152.685074f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 108.699646f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; -168.813187f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 166.688339f,&lt;BR /&gt;
	-195.550934f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 142.426865f, &amp;nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 63.002094f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 67.792168f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 66.547188f,&lt;BR /&gt;
	&amp;nbsp;&amp;nbsp; 40.681679f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 91.366081f,&amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; -10.763326f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 186.464005f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 164.351349f,&lt;BR /&gt;
	&amp;nbsp;&amp;nbsp; 44.740143f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 64.384964f,&amp;nbsp;&amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp; -80.919853f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; -29.437082f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 45.215580f,&lt;BR /&gt;
	&amp;nbsp;&amp;nbsp; 95.272400f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 21.906961f,&amp;nbsp;&amp;nbsp;&amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp; 84.793060f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; -50.961384f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 250.437256f&lt;/P&gt;

&lt;P&gt;IPP returns (1.0f, 0.0f) and (0.0f, 1.0f) eigen vectors for the (3, 3) element of the matrix, but OpenCV returns (-0.540550, 0.841312) and (-0.841312, -0.540550).&lt;/P&gt;

&lt;P&gt;Is there any reason for such behavior or some criteria when it appear?&lt;/P&gt;</description>
    <pubDate>Wed, 30 Mar 2016 13:18:02 GMT</pubDate>
    <dc:creator>Ruslan_G_</dc:creator>
    <dc:date>2016-03-30T13:18:02Z</dc:date>
    <item>
      <title>EigenValsVecs question</title>
      <link>https://community.intel.com/t5/Intel-Integrated-Performance/EigenValsVecs-question/m-p/1066379#M24364</link>
      <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;

&lt;P&gt;Hello! I compared results of EigenValsVecs functions in IPP and OpenCV and found that in some cases ippiEigenValsVecs function returns exactly (1.0f, 0.0f) and (0.0f, 1.0f) eigen vectors although OpenCV returns eigen vectors which are not even close to vectors obtained with IPP.&lt;/P&gt;

&lt;P&gt;For example with input 5x5 matrix&lt;/P&gt;

&lt;P&gt;-116.127525f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; -152.685074f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 108.699646f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; -168.813187f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 166.688339f,&lt;BR /&gt;
	-195.550934f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 142.426865f, &amp;nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 63.002094f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 67.792168f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 66.547188f,&lt;BR /&gt;
	&amp;nbsp;&amp;nbsp; 40.681679f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 91.366081f,&amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp; -10.763326f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 186.464005f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 164.351349f,&lt;BR /&gt;
	&amp;nbsp;&amp;nbsp; 44.740143f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 64.384964f,&amp;nbsp;&amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp; -80.919853f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; -29.437082f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 45.215580f,&lt;BR /&gt;
	&amp;nbsp;&amp;nbsp; 95.272400f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 21.906961f,&amp;nbsp;&amp;nbsp;&amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp; 84.793060f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; -50.961384f,&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 250.437256f&lt;/P&gt;

&lt;P&gt;IPP returns (1.0f, 0.0f) and (0.0f, 1.0f) eigen vectors for the (3, 3) element of the matrix, but OpenCV returns (-0.540550, 0.841312) and (-0.841312, -0.540550).&lt;/P&gt;

&lt;P&gt;Is there any reason for such behavior or some criteria when it appear?&lt;/P&gt;</description>
      <pubDate>Wed, 30 Mar 2016 13:18:02 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Integrated-Performance/EigenValsVecs-question/m-p/1066379#M24364</guid>
      <dc:creator>Ruslan_G_</dc:creator>
      <dc:date>2016-03-30T13:18:02Z</dc:date>
    </item>
    <item>
      <title>Hi, </title>
      <link>https://community.intel.com/t5/Intel-Integrated-Performance/EigenValsVecs-question/m-p/1066380#M24365</link>
      <description>&lt;P&gt;Hi,&amp;nbsp;&lt;/P&gt;

&lt;P&gt;Thanks for your report. &amp;nbsp;We are checking now. &amp;nbsp; Which version of IPP are you testing now?&amp;nbsp;&lt;/P&gt;

&lt;P&gt;Regards,&lt;BR /&gt;
	Chao&lt;/P&gt;

&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 08 Apr 2016 03:08:09 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Integrated-Performance/EigenValsVecs-question/m-p/1066380#M24365</guid>
      <dc:creator>Chao_Y_Intel</dc:creator>
      <dc:date>2016-04-08T03:08:09Z</dc:date>
    </item>
    <item>
      <title>Thanks for your answer. I'm</title>
      <link>https://community.intel.com/t5/Intel-Integrated-Performance/EigenValsVecs-question/m-p/1066381#M24366</link>
      <description>&lt;P&gt;Thanks for your answer. I'm testing IPP 9.0.&lt;/P&gt;</description>
      <pubDate>Fri, 08 Apr 2016 08:17:07 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Integrated-Performance/EigenValsVecs-question/m-p/1066381#M24366</guid>
      <dc:creator>Ruslan_G_</dc:creator>
      <dc:date>2016-04-08T08:17:07Z</dc:date>
    </item>
    <item>
      <title>Rusian, </title>
      <link>https://community.intel.com/t5/Intel-Integrated-Performance/EigenValsVecs-question/m-p/1066382#M24367</link>
      <description>&lt;P&gt;Rusian,&amp;nbsp;&lt;BR /&gt;
	&lt;BR /&gt;
	thanks for the information. &amp;nbsp;The engineer is checking the code now, and I will provide you further feedback.&amp;nbsp;&lt;BR /&gt;
	&lt;BR /&gt;
	Regards,&lt;BR /&gt;
	Chao&lt;/P&gt;</description>
      <pubDate>Mon, 11 Apr 2016 07:12:03 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Integrated-Performance/EigenValsVecs-question/m-p/1066382#M24367</guid>
      <dc:creator>Chao_Y_Intel</dc:creator>
      <dc:date>2016-04-11T07:12:03Z</dc:date>
    </item>
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