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    <link>http://www.mathworks.com/matlabcentral/newsreader/view_thread/250913</link>
    <title>MATLAB Central Newsreader - symbolic computation</title>
    <description>Feed for thread: symbolic computation</description>
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    <item>
      <pubDate>Fri, 08 May 2009 19:00:04 -0400</pubDate>
      <title>symbolic computation</title>
      <link>http://www.mathworks.com/matlabcentral/newsreader/view_thread/250913#648491</link>
      <author>devi </author>
      <description>Hello,&lt;br&gt;
&lt;br&gt;
I have an equation&lt;br&gt;
y = b*sech(b*acosh(1/x))*tanh(b*acosh(1/x))/(sqrt((1/x)-1)*sqrt(1+(1/x))*(x^2));&lt;br&gt;
&lt;br&gt;
where b varies from 2 to 101,as b = M+1 ; M varies from 1 : 100&lt;br&gt;
x = 1.001:0.001:1.01&lt;br&gt;
&lt;br&gt;
The problem is I am simulating a chain network with M routers.For M =1 and 2 that is b = 2 and 3 the analytical and simulated results are almost concordant with 4 and 9 respectively which are the limits.But when I increase the b values they tend to hit numerical stability issues and lose accuracy.&lt;br&gt;
&lt;br&gt;
I need help to compute the limits analytically using symbolic computation or maple&lt;br&gt;
&lt;br&gt;
Thanks&lt;br&gt;
devi</description>
    </item>
    <item>
      <pubDate>Fri, 08 May 2009 22:41:01 -0400</pubDate>
      <title>Re: symbolic computation</title>
      <link>http://www.mathworks.com/matlabcentral/newsreader/view_thread/250913#648520</link>
      <author>Peter</author>
      <description>On May 8, 12:00&#160;pm, &quot;devi &quot; &amp;lt;rama...@gmail.com&amp;gt; wrote:&lt;br&gt;
&amp;gt; Hello,&lt;br&gt;
&amp;gt;&lt;br&gt;
&amp;gt; I have an equation&lt;br&gt;
&amp;gt; y = b*sech(b*acosh(1/x))*tanh(b*acosh(1/x))/(sqrt((1/x)-1)*sqrt(1+(1/x)=&lt;br&gt;
)*(x^2));&lt;br&gt;
&amp;gt;&lt;br&gt;
&amp;gt; where b varies from 2 to 101,as b = M+1 ; M varies from 1 : 100&lt;br&gt;
&amp;gt; x = 1.001:0.001:1.01&lt;br&gt;
&amp;gt;&lt;br&gt;
&amp;gt; The problem is I am simulating a chain network with M routers.For M =1 =&lt;br&gt;
and 2 that is b = 2 and 3 the analytical and simulated results are almost=&lt;br&gt;
&amp;nbsp;concordant with 4 and 9 respectively which are the limits.But when I incre=&lt;br&gt;
ase the b values they tend to hit numerical stability issues and lose accur=&lt;br&gt;
acy.&lt;br&gt;
&amp;gt;&lt;br&gt;
&amp;gt; I need help to compute the limits analytically using symbolic computation=&lt;br&gt;
&amp;nbsp;or maple&lt;br&gt;
&amp;gt;&lt;br&gt;
&amp;gt; Thanks&lt;br&gt;
&amp;gt; devi&lt;br&gt;
&lt;br&gt;
The following power series in the variable dx = x - 1 should provide&lt;br&gt;
sufficient accuracy (about 6 to 8 significant digits) for your desired&lt;br&gt;
range 0.001 &amp;lt;= dx &amp;lt;= 0.01&lt;br&gt;
&lt;br&gt;
&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;b^2 + (5*b*(-b + b^3)*dx)/3. +&lt;br&gt;
&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;(b*(64*b - 125*b^3 + 61*b^5)*dx^2)/&lt;br&gt;
&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;30. + (b*(-312*b + 889*b^3 - 854*b^5 +&lt;br&gt;
&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;277*b^7)*dx^3)/126. +&lt;br&gt;
&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;(b*(62136*b - 229000*b^3 + 324093*b^5 -&lt;br&gt;
&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;207750*b^7 + 50521*b^9)*dx^4)/&lt;br&gt;
&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;22680&lt;br&gt;
&lt;br&gt;
--Peter</description>
    </item>
    <item>
      <pubDate>Sat, 09 May 2009 01:15:02 -0400</pubDate>
      <title>Re: symbolic computation</title>
      <link>http://www.mathworks.com/matlabcentral/newsreader/view_thread/250913#648534</link>
      <author>devi </author>
      <description>Well y is already a differentiated equation.To explain in a better way,&lt;br&gt;
For example:The mean of y when x varies from 1.001:0.001:1.01 at b = 2 is 4&lt;br&gt;
So this mean value is compared with simulated values.This value is varying to a large extent and is not concordant with analytical values as b increases from 2:100.&lt;br&gt;
&lt;br&gt;
I am basically finding the average number of hops in a chain network by simulation which has to agree with analytical results that is average number of hops by simulation ishould agree with  the mean from analytical calculations of the equation.&lt;br&gt;
&lt;br&gt;
Thanks&lt;br&gt;
Devi&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
Peter &amp;lt;petersamsimon2@hotmail.com&amp;gt; wrote in message &amp;lt;80cd7c70-2c48-4035-bb89-a154702eb83d@d38g2000prn.googlegroups.com&amp;gt;...&lt;br&gt;
&amp;gt; On May 8, 12:00?pm, &quot;devi &quot; &amp;lt;rama...@gmail.com&amp;gt; wrote:&lt;br&gt;
&amp;gt; &amp;gt; Hello,&lt;br&gt;
&amp;gt; &amp;gt;&lt;br&gt;
&amp;gt; &amp;gt; I have an equation&lt;br&gt;
&amp;gt; &amp;gt; y = b*sech(b*acosh(1/x))*tanh(b*acosh(1/x))/(sqrt((1/x)-1)*sqrt(1+(1/x)=&lt;br&gt;
&amp;gt; )*(x^2));&lt;br&gt;
&amp;gt; &amp;gt;&lt;br&gt;
&amp;gt; &amp;gt; where b varies from 2 to 101,as b = M+1 ; M varies from 1 : 100&lt;br&gt;
&amp;gt; &amp;gt; x = 1.001:0.001:1.01&lt;br&gt;
&amp;gt; &amp;gt;&lt;br&gt;
&amp;gt; &amp;gt; The problem is I am simulating a chain network with M routers.For M =1 =&lt;br&gt;
&amp;gt; and 2 that is b = 2 and 3 the analytical and simulated results are almost=&lt;br&gt;
&amp;gt;  concordant with 4 and 9 respectively which are the limits.But when I incre=&lt;br&gt;
&amp;gt; ase the b values they tend to hit numerical stability issues and lose accur=&lt;br&gt;
&amp;gt; acy.&lt;br&gt;
&amp;gt; &amp;gt;&lt;br&gt;
&amp;gt; &amp;gt; I need help to compute the limits analytically using symbolic computation=&lt;br&gt;
&amp;gt;  or maple&lt;br&gt;
&amp;gt; &amp;gt;&lt;br&gt;
&amp;gt; &amp;gt; Thanks&lt;br&gt;
&amp;gt; &amp;gt; devi&lt;br&gt;
&amp;gt; &lt;br&gt;
&amp;gt; The following power series in the variable dx = x - 1 should provide&lt;br&gt;
&amp;gt; sufficient accuracy (about 6 to 8 significant digits) for your desired&lt;br&gt;
&amp;gt; range 0.001 &amp;lt;= dx &amp;lt;= 0.01&lt;br&gt;
&amp;gt; &lt;br&gt;
&amp;gt;     b^2 + (5*b*(-b + b^3)*dx)/3. +&lt;br&gt;
&amp;gt;        (b*(64*b - 125*b^3 + 61*b^5)*dx^2)/&lt;br&gt;
&amp;gt;         30. + (b*(-312*b + 889*b^3 - 854*b^5 +&lt;br&gt;
&amp;gt;             277*b^7)*dx^3)/126. +&lt;br&gt;
&amp;gt;        (b*(62136*b - 229000*b^3 + 324093*b^5 -&lt;br&gt;
&amp;gt;             207750*b^7 + 50521*b^9)*dx^4)/&lt;br&gt;
&amp;gt;         22680&lt;br&gt;
&amp;gt; &lt;br&gt;
&amp;gt; --Peter</description>
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