<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0">
  <channel>
    <title>MaplePrimes - answers and comments on Question, How to solve a matricial equation (in order to coefficients) in maple?</title>
    <link>http://www.mapleprimes.com/questions/140829-How-To-Solve-A-Matricial-Equation-in-Order-To-Coefficients</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
    <generator>Maplesoft Document System</generator>
    <lastBuildDate>Sat, 13 Jun 2026 21:15:39 GMT</lastBuildDate>
    <pubDate>Sat, 13 Jun 2026 21:15:39 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>The latest answers and comments added to the Question, How to solve a matricial equation (in order to coefficients) in maple?</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - answers and comments on Question, How to solve a matricial equation (in order to coefficients) in maple?</title>
      <link>http://www.mapleprimes.com/questions/140829-How-To-Solve-A-Matricial-Equation-in-Order-To-Coefficients</link>
    </image>
    <item>
      <title>By SolveEquations</title>
      <link>http://www.mapleprimes.com/questions/140829-How-To-Solve-A-Matricial-Equation-in-Order-To-Coefficients?ref=Feed:MaplePrimes:How to solve a matricial equation (in order to coefficients) in maple?:Comments#answer140830</link>
      <itunes:summary>&lt;p&gt;It can be done as follows.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;form name="worksheet_form"&gt;
&lt;table style="width: 576px;" align="center"&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -79;" src="/view.aspx?sf=140830/448797/c1d3254cc4adef1ef108c8bd503a34a0.gif" alt="restart; A := Matrix(3, 3, [5*a-4, 5*sqrt(a)*sqrt(b)-5, 7*sqrt(a)*sqrt(c)-6, 8*sqrt(a)*sqrt(b)-5, 8*b-2, 8*sqrt(b)*sqrt(c)-9, 4*sqrt(a)*sqrt(c)-1, 6*sqrt(b)*sqrt(c)-4, 9*c-5])" width="576" height="96" align="middle"&gt;&lt;/p&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=140830/448797/a114aaf2b020dbdfcf2ae6a9108a47e4.gif" alt="B := Matrix(3, 3, proc (i, j) options operator, arrow; 0 end proc):" width="188" height="23"&gt;&lt;/p&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #ff0000; font-size: 100%; font-family: Courier New,monospace; font-weight: bold; font-style: normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=140830/448797/6ff528b03675b51bc61422bbf17ee9f2.gif" alt="Equate(A, B)" width="87" height="23"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;img style="vertical-align: -27;" src="/view.aspx?sf=140830/448797/0655c55c4aa321f23ac561b1b2b8f93e.gif" alt="[5*a-4 = 0, 5*a^(1/2)*b^(1/2)-5 = 0, 7*a^(1/2)*c^(1/2)-6 = 0, 8*a^(1/2)*b^(1/2)-5 = 0, 8*b-2 = 0, 8*b^(1/2)*c^(1/2)-9 = 0, 4*a^(1/2)*c^(1/2)-1 = 0, 6*b^(1/2)*c^(1/2)-4 = 0, 9*c-5 = 0]" width="546" height="48" align="middle"&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;(1)&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=140830/448797/6294a6cb9f091bef07a1f2f751a652a8.gif" alt="DirectSearch:-SolveEquations(Equate(A, B))" width="282" height="23"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;img style="vertical-align: -323;" src="/view.aspx?sf=140830/448797/799bbf26f796bda8c3dc77c8093cc582.gif" alt="[31.1856590880747, Vector(9, {(1) = HFloat(0.05391688201798939), (2) = HFloat(-1.595722348664931), (3) = HFloat(-0.6830187813453348), (4) = HFloat(0.44684424213611074), (5) = HFloat(2.5739887282979526), (6) = HFloat(-3.897215744105119), (7) = HFloat(2.0382749820883803), (8) = HFloat(-0.17291180807883944), (9) = HFloat(1.4043026333353428)}), [a = .810783376403598, b = .571748591037244, c = .711589181481705], 141]" width="546" height="440" align="middle"&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;(2)&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;The &lt;/span&gt;&lt;span style="color: #68405c; font-size: 100%; font-family: Times New Roman,serif; font-weight: bold; font-style: normal;"&gt;SolveEquations&lt;/span&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;&amp;nbsp;command can return not only exact solutions of the equation system but also any minimums of function &lt;/span&gt;&lt;span style="color: #68405c; font-size: 100%; font-family: Times New Roman,serif; font-weight: bold; font-style: normal;"&gt;F&lt;/span&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;. If the residuals too large then the solution is not exact solution but it is only solution that minimizes the residuals.&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;input type="hidden" name="sequence" value="1"&gt; &lt;input type="hidden" name="cmd" value="none"&gt;&lt;/form&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=140830/448797/SolveEquations.mw"&gt;Download SolveEquations.mw&lt;/a&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;It can be done as follows.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;form name="worksheet_form"&gt;
&lt;table style="width: 576px;" align="center"&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -79;" src="/view.aspx?sf=140830/448797/c1d3254cc4adef1ef108c8bd503a34a0.gif" alt="restart; A := Matrix(3, 3, [5*a-4, 5*sqrt(a)*sqrt(b)-5, 7*sqrt(a)*sqrt(c)-6, 8*sqrt(a)*sqrt(b)-5, 8*b-2, 8*sqrt(b)*sqrt(c)-9, 4*sqrt(a)*sqrt(c)-1, 6*sqrt(b)*sqrt(c)-4, 9*c-5])" width="576" height="96" align="middle"&gt;&lt;/p&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=140830/448797/a114aaf2b020dbdfcf2ae6a9108a47e4.gif" alt="B := Matrix(3, 3, proc (i, j) options operator, arrow; 0 end proc):" width="188" height="23"&gt;&lt;/p&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #ff0000; font-size: 100%; font-family: Courier New,monospace; font-weight: bold; font-style: normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=140830/448797/6ff528b03675b51bc61422bbf17ee9f2.gif" alt="Equate(A, B)" width="87" height="23"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;img style="vertical-align: -27;" src="/view.aspx?sf=140830/448797/0655c55c4aa321f23ac561b1b2b8f93e.gif" alt="[5*a-4 = 0, 5*a^(1/2)*b^(1/2)-5 = 0, 7*a^(1/2)*c^(1/2)-6 = 0, 8*a^(1/2)*b^(1/2)-5 = 0, 8*b-2 = 0, 8*b^(1/2)*c^(1/2)-9 = 0, 4*a^(1/2)*c^(1/2)-1 = 0, 6*b^(1/2)*c^(1/2)-4 = 0, 9*c-5 = 0]" width="546" height="48" align="middle"&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;(1)&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=140830/448797/6294a6cb9f091bef07a1f2f751a652a8.gif" alt="DirectSearch:-SolveEquations(Equate(A, B))" width="282" height="23"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;img style="vertical-align: -323;" src="/view.aspx?sf=140830/448797/799bbf26f796bda8c3dc77c8093cc582.gif" alt="[31.1856590880747, Vector(9, {(1) = HFloat(0.05391688201798939), (2) = HFloat(-1.595722348664931), (3) = HFloat(-0.6830187813453348), (4) = HFloat(0.44684424213611074), (5) = HFloat(2.5739887282979526), (6) = HFloat(-3.897215744105119), (7) = HFloat(2.0382749820883803), (8) = HFloat(-0.17291180807883944), (9) = HFloat(1.4043026333353428)}), [a = .810783376403598, b = .571748591037244, c = .711589181481705], 141]" width="546" height="440" align="middle"&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;(2)&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;The &lt;/span&gt;&lt;span style="color: #68405c; font-size: 100%; font-family: Times New Roman,serif; font-weight: bold; font-style: normal;"&gt;SolveEquations&lt;/span&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;&amp;nbsp;command can return not only exact solutions of the equation system but also any minimums of function &lt;/span&gt;&lt;span style="color: #68405c; font-size: 100%; font-family: Times New Roman,serif; font-weight: bold; font-style: normal;"&gt;F&lt;/span&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;. If the residuals too large then the solution is not exact solution but it is only solution that minimizes the residuals.&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;input type="hidden" name="sequence" value="1"&gt; &lt;input type="hidden" name="cmd" value="none"&gt;&lt;/form&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=140830/448797/SolveEquations.mw"&gt;Download SolveEquations.mw&lt;/a&gt;&lt;/p&gt;</description>
      <guid>140830</guid>
      <pubDate>Mon, 26 Nov 2012 16:20:57 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
    <item>
      <title>Comparison</title>
      <link>http://www.mapleprimes.com/questions/140829-How-To-Solve-A-Matricial-Equation-in-Order-To-Coefficients?ref=Feed:MaplePrimes:How to solve a matricial equation (in order to coefficients) in maple?:Comments#comment140831</link>
      <itunes:summary>&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;form name="worksheet_form"&gt;
&lt;table style="width: 576px;" align="center"&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -97;" src="/view.aspx?sf=140831/448800/12c42617fa5e2c414dfd009ead8d2131.gif" alt="restart; with(LinearAlgebra); with(Optimization); A := Matrix(3, 3, [5*a-4, 5*sqrt(a)*sqrt(b)-5, 7*sqrt(a)*sqrt(c)-6, 8*sqrt(a)*sqrt(b)-5, 8*b-2, 8*sqrt(b)*sqrt(c)-9, 4*sqrt(a)*sqrt(c)-1, 6*sqrt(b)*sqrt(c)-4, 9*c-5])" width="576" height="114" align="middle"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;img style="vertical-align: -40;" src="/view.aspx?sf=140831/448800/cb9375eb2c16289c766b7944424b95cb.gif" alt="Matrix([[5*a-4, 5*a^(1/2)*b^(1/2)-5, 7*a^(1/2)*c^(1/2)-6], [8*a^(1/2)*b^(1/2)-5, 8*b-2, 8*b^(1/2)*c^(1/2)-9], [4*a^(1/2)*c^(1/2)-1, 6*b^(1/2)*c^(1/2)-4, 9*c-5]])" width="306" height="91"&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;(1)&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=140831/448800/d17554fd20b39d4fbb77615bebf3fad2.gif" alt="Minimize(Norm(A))" width="132" height="23"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;a href="http://www.maplesoft.com/support/help/errors/view.aspx?path=Error,%20(in%20Optimization%3A-NLPSolve)%20unable%20to%20convert"&gt;&lt;span style="color: #ff00ff; font-size: 100%; font-family: Courier New,monospace; font-weight: normal; font-style: normal;"&gt;&lt;span style="text-decoration: underline;"&gt;Error, (in Optimization:-NLPSolve) unable to convert&lt;/span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=140831/448800/df29362cd76d69fe192e8189301abc23.gif" alt="minimize(Norm(A, 2), location)" width="203" height="27"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;a href="http://www.maplesoft.com/support/help/errors/view.aspx?path=Error,%20(in%20PiecewiseTools%3A-Convert)%20unable%20to%20convert"&gt;&lt;span style="color: #ff00ff; font-size: 100%; font-family: Courier New,monospace; font-weight: normal; font-style: normal;"&gt;&lt;span style="text-decoration: underline;"&gt;Error, (in PiecewiseTools:-Convert) unable to convert&lt;/span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=140831/448800/3b5d1183bd2fdfe12738c93004b27a67.gif" alt="Minimize(Norm(A, 2))" width="146" height="23"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;a href="http://www.maplesoft.com/support/help/errors/view.aspx?path=Warning,%20%20computation%20interrupted"&gt;&lt;span style="color: #0000ff; font-size: 100%; font-family: Courier New,monospace; font-weight: normal; font-style: normal;"&gt;&lt;span style="text-decoration: underline;"&gt;Warning, &amp;nbsp;computation interrupted&lt;/span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;The commnd is spinning: no output during a half hour, about 1.2 G.&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;input type="hidden" name="sequence" value="1"&gt; &lt;input type="hidden" name="cmd" value="none"&gt;&lt;/form&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=140831/448800/comparison.mw"&gt;Download comparison.mw&lt;/a&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;form name="worksheet_form"&gt;
&lt;table style="width: 576px;" align="center"&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -97;" src="/view.aspx?sf=140831/448800/12c42617fa5e2c414dfd009ead8d2131.gif" alt="restart; with(LinearAlgebra); with(Optimization); A := Matrix(3, 3, [5*a-4, 5*sqrt(a)*sqrt(b)-5, 7*sqrt(a)*sqrt(c)-6, 8*sqrt(a)*sqrt(b)-5, 8*b-2, 8*sqrt(b)*sqrt(c)-9, 4*sqrt(a)*sqrt(c)-1, 6*sqrt(b)*sqrt(c)-4, 9*c-5])" width="576" height="114" align="middle"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="center"&gt;&lt;img style="vertical-align: -40;" src="/view.aspx?sf=140831/448800/cb9375eb2c16289c766b7944424b95cb.gif" alt="Matrix([[5*a-4, 5*a^(1/2)*b^(1/2)-5, 7*a^(1/2)*c^(1/2)-6], [8*a^(1/2)*b^(1/2)-5, 8*b-2, 8*b^(1/2)*c^(1/2)-9], [4*a^(1/2)*c^(1/2)-1, 6*b^(1/2)*c^(1/2)-4, 9*c-5]])" width="306" height="91"&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;(1)&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=140831/448800/d17554fd20b39d4fbb77615bebf3fad2.gif" alt="Minimize(Norm(A))" width="132" height="23"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;a href="http://www.maplesoft.com/support/help/errors/view.aspx?path=Error,%20(in%20Optimization%3A-NLPSolve)%20unable%20to%20convert"&gt;&lt;span style="color: #ff00ff; font-size: 100%; font-family: Courier New,monospace; font-weight: normal; font-style: normal;"&gt;&lt;span style="text-decoration: underline;"&gt;Error, (in Optimization:-NLPSolve) unable to convert&lt;/span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=140831/448800/df29362cd76d69fe192e8189301abc23.gif" alt="minimize(Norm(A, 2), location)" width="203" height="27"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;a href="http://www.maplesoft.com/support/help/errors/view.aspx?path=Error,%20(in%20PiecewiseTools%3A-Convert)%20unable%20to%20convert"&gt;&lt;span style="color: #ff00ff; font-size: 100%; font-family: Courier New,monospace; font-weight: normal; font-style: normal;"&gt;&lt;span style="text-decoration: underline;"&gt;Error, (in PiecewiseTools:-Convert) unable to convert&lt;/span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;img style="vertical-align: -6;" src="/view.aspx?sf=140831/448800/3b5d1183bd2fdfe12738c93004b27a67.gif" alt="Minimize(Norm(A, 2))" width="146" height="23"&gt;&lt;/p&gt;
&lt;table&gt;
&lt;tbody&gt;
&lt;tr valign="baseline"&gt;
&lt;td&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;a href="http://www.maplesoft.com/support/help/errors/view.aspx?path=Warning,%20%20computation%20interrupted"&gt;&lt;span style="color: #0000ff; font-size: 100%; font-family: Courier New,monospace; font-weight: normal; font-style: normal;"&gt;&lt;span style="text-decoration: underline;"&gt;Warning, &amp;nbsp;computation interrupted&lt;/span&gt;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;td style="color: #000000; font-family: Times, serif; font-weight: bold; font-style: normal;" align="right"&gt;&amp;nbsp;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;p style="margin: 0 0 0 0; padding-top: 0px; padding-bottom: 0px;" align="left"&gt;&lt;span style="color: #000000; font-size: 100%; font-family: Times New Roman,serif; font-weight: normal; font-style: normal;"&gt;The commnd is spinning: no output during a half hour, about 1.2 G.&lt;/span&gt;&lt;/p&gt;
&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
&lt;input type="hidden" name="sequence" value="1"&gt; &lt;input type="hidden" name="cmd" value="none"&gt;&lt;/form&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=140831/448800/comparison.mw"&gt;Download comparison.mw&lt;/a&gt;&lt;/p&gt;</description>
      <guid>140831</guid>
      <pubDate>Mon, 26 Nov 2012 17:16:26 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
    <item>
      <title>Minimize</title>
      <link>http://www.mapleprimes.com/questions/140829-How-To-Solve-A-Matricial-Equation-in-Order-To-Coefficients?ref=Feed:MaplePrimes:How to solve a matricial equation (in order to coefficients) in maple?:Comments#comment140855</link>
      <itunes:summary>&lt;pre&gt;restart:

A := Matrix(3, 3, [5*a-4, 5*sqrt(a)*sqrt(b)-5, 7*sqrt(a)*sqrt(c)-6,
                   8*sqrt(a)*sqrt(b)-5, 8*b-2, 8*sqrt(b)*sqrt(c)-9,
                   4*sqrt(a)*sqrt(c)-1, 6*sqrt(b)*sqrt(c)-4, 9*c-5]):

eqs := Equate(A, Matrix(3)):

Optimization:-Minimize( add((rhs-lhs)(e)^2,e in eqs) );

    [31.1856590880747149, [a = 0.8107833782774988, 
                           b = 0.5717485896565585,
                           c = 0.7115891789684132] ]
&lt;/pre&gt;
&lt;p&gt;or, more simply,&lt;/p&gt;
&lt;pre&gt;Optimization:-Minimize( add(e^2, e in A) );

    [31.1856590880747149, [a = 0.8107833782774988,
                           b = 0.5717485896565585,
                           c = 0.7115891789684132] ]
&lt;/pre&gt;
&lt;p&gt;The main problem with using Optimization:-Minimize is that it's a local minimizer. If it returns something very close to zero as the optimal objective then great, one has shown that the Matrix A can be zero (up to floating-point approximation).&lt;/p&gt;
&lt;p&gt;But if it returns a locally optimal objective value greater than zero then nothing can be concluded from that alone about whether A could become all zero, (in general, unless we can show certain things about the convexity of the problem). I mention this for other readers, of course, as I am sure that Markiyan is aware of the one-sided benefit of using a local minimizer in such a context.&lt;/p&gt;</itunes:summary>
      <description>&lt;pre&gt;restart:

A := Matrix(3, 3, [5*a-4, 5*sqrt(a)*sqrt(b)-5, 7*sqrt(a)*sqrt(c)-6,
                   8*sqrt(a)*sqrt(b)-5, 8*b-2, 8*sqrt(b)*sqrt(c)-9,
                   4*sqrt(a)*sqrt(c)-1, 6*sqrt(b)*sqrt(c)-4, 9*c-5]):

eqs := Equate(A, Matrix(3)):

Optimization:-Minimize( add((rhs-lhs)(e)^2,e in eqs) );

    [31.1856590880747149, [a = 0.8107833782774988, 
                           b = 0.5717485896565585,
                           c = 0.7115891789684132] ]
&lt;/pre&gt;
&lt;p&gt;or, more simply,&lt;/p&gt;
&lt;pre&gt;Optimization:-Minimize( add(e^2, e in A) );

    [31.1856590880747149, [a = 0.8107833782774988,
                           b = 0.5717485896565585,
                           c = 0.7115891789684132] ]
&lt;/pre&gt;
&lt;p&gt;The main problem with using Optimization:-Minimize is that it's a local minimizer. If it returns something very close to zero as the optimal objective then great, one has shown that the Matrix A can be zero (up to floating-point approximation).&lt;/p&gt;
&lt;p&gt;But if it returns a locally optimal objective value greater than zero then nothing can be concluded from that alone about whether A could become all zero, (in general, unless we can show certain things about the convexity of the problem). I mention this for other readers, of course, as I am sure that Markiyan is aware of the one-sided benefit of using a local minimizer in such a context.&lt;/p&gt;</description>
      <guid>140855</guid>
      <pubDate>Tue, 27 Nov 2012 09:40:55 Z</pubDate>
      <itunes:author>acer</itunes:author>
      <author>acer</author>
    </item>
    <item>
      <title>The same output is obtained</title>
      <link>http://www.mapleprimes.com/questions/140829-How-To-Solve-A-Matricial-Equation-in-Order-To-Coefficients?ref=Feed:MaplePrimes:How to solve a matricial equation (in order to coefficients) in maple?:Comments#comment140865</link>
      <itunes:summary>&lt;p&gt;&lt;a href="http://www.mapleprimes.com/questions/140829-How-To-Solve-A-Matricial-Equation-in-Order-To-Coefficients#comment140855"&gt;@acer&lt;/a&gt; with the global minimizer:&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;&lt;a href="http://www.mapleprimes.com/questions/140829-How-To-Solve-A-Matricial-Equation-in-Order-To-Coefficients#comment140855"&gt;@acer&lt;/a&gt; with the global minimizer:&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;/p&gt;</description>
      <guid>140865</guid>
      <pubDate>Tue, 27 Nov 2012 16:57:01 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
    <item>
      <title>yes</title>
      <link>http://www.mapleprimes.com/questions/140829-How-To-Solve-A-Matricial-Equation-in-Order-To-Coefficients?ref=Feed:MaplePrimes:How to solve a matricial equation (in order to coefficients) in maple?:Comments#comment140871</link>
      <itunes:summary>&lt;p&gt;&lt;a href="http://www.mapleprimes.com/questions/140829-How-To-Solve-A-Matricial-Equation-in-Order-To-Coefficients#comment140865"&gt;@Markiyan Hirnyk&lt;/a&gt;&amp;nbsp;Yes, I had seen that. The points I was trying to make were that &lt;strong&gt;1)&lt;/strong&gt; Optimization:-Minimize can obtain a result (you had a little usage difficulty, that I wanted to quickly clear up), but that &lt;strong&gt;2)&lt;/strong&gt; use of a global method is preferred for the given task.&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;&lt;a href="http://www.mapleprimes.com/questions/140829-How-To-Solve-A-Matricial-Equation-in-Order-To-Coefficients#comment140865"&gt;@Markiyan Hirnyk&lt;/a&gt;&amp;nbsp;Yes, I had seen that. The points I was trying to make were that &lt;strong&gt;1)&lt;/strong&gt; Optimization:-Minimize can obtain a result (you had a little usage difficulty, that I wanted to quickly clear up), but that &lt;strong&gt;2)&lt;/strong&gt; use of a global method is preferred for the given task.&lt;/p&gt;</description>
      <guid>140871</guid>
      <pubDate>Tue, 27 Nov 2012 18:39:51 Z</pubDate>
      <itunes:author>acer</itunes:author>
      <author>acer</author>
    </item>
  </channel>
</rss>