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    <title>topic Re: How to guarntee a unique solution in NLPNMS? in SAS/IML Software and Matrix Computations</title>
    <link>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/How-to-guarntee-a-unique-solution-in-NLPNMS/m-p/157987#M1443</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The uniqueness of a solution depends on the function being optimized, not the particular choice of an optimization routine. In general, if you start near a local optimum, you will converge to that optimum (but the beautiful fractals for Newton's iteration show that this is not always the case!)&amp;nbsp; If your function has several local maxima and you want to find the one that is the global maximum, you can try using initial conditions on a uniform grid in parameter space, as detailed in this article: &lt;A href="http://blogs.sas.com/content/iml/2014/06/11/initial-guess-for-optimization/" title="http://blogs.sas.com/content/iml/2014/06/11/initial-guess-for-optimization/"&gt; How to find an initial guess for an optimization - The DO Loop&lt;/A&gt; &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 27 Jun 2014 14:13:45 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2014-06-27T14:13:45Z</dc:date>
    <item>
      <title>How to guarntee a unique solution in NLPNMS?</title>
      <link>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/How-to-guarntee-a-unique-solution-in-NLPNMS/m-p/157985#M1441</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello all,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am using the NLPNMS call in&amp;nbsp; proc iml . Could I guarntee that my solution is unique?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;Aya&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 27 Jun 2014 11:07:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/How-to-guarntee-a-unique-solution-in-NLPNMS/m-p/157985#M1441</guid>
      <dc:creator>Emara</dc:creator>
      <dc:date>2014-06-27T11:07:31Z</dc:date>
    </item>
    <item>
      <title>Re: How to guarntee a unique solution in NLPNMS?</title>
      <link>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/How-to-guarntee-a-unique-solution-in-NLPNMS/m-p/157986#M1442</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Use a variety of starting points for the optimization.&amp;nbsp; See the SAS?IML User's Guide &amp;gt; Nonlinear Optimation Examples &amp;gt; Details &amp;gt; Gloval versus Local Optima.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 27 Jun 2014 13:29:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/How-to-guarntee-a-unique-solution-in-NLPNMS/m-p/157986#M1442</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2014-06-27T13:29:27Z</dc:date>
    </item>
    <item>
      <title>Re: How to guarntee a unique solution in NLPNMS?</title>
      <link>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/How-to-guarntee-a-unique-solution-in-NLPNMS/m-p/157987#M1443</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The uniqueness of a solution depends on the function being optimized, not the particular choice of an optimization routine. In general, if you start near a local optimum, you will converge to that optimum (but the beautiful fractals for Newton's iteration show that this is not always the case!)&amp;nbsp; If your function has several local maxima and you want to find the one that is the global maximum, you can try using initial conditions on a uniform grid in parameter space, as detailed in this article: &lt;A href="http://blogs.sas.com/content/iml/2014/06/11/initial-guess-for-optimization/" title="http://blogs.sas.com/content/iml/2014/06/11/initial-guess-for-optimization/"&gt; How to find an initial guess for an optimization - The DO Loop&lt;/A&gt; &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 27 Jun 2014 14:13:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-IML-Software-and-Matrix/How-to-guarntee-a-unique-solution-in-NLPNMS/m-p/157987#M1443</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2014-06-27T14:13:45Z</dc:date>
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