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    <title>MaplePrimes - answers and comments on Question, Can anyone fitting this curve by simple math function</title>
    <link>http://www.mapleprimes.com/questions/134634-Can-Anyone-Fitting-This-Curve-By-Simple</link>
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    <lastBuildDate>Tue, 09 Jun 2026 08:25:56 GMT</lastBuildDate>
    <pubDate>Tue, 09 Jun 2026 08:25:56 GMT</pubDate>
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    <itunes:summary />
    <description>The latest answers and comments added to the Question, Can anyone fitting this curve by simple math function</description>
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      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - answers and comments on Question, Can anyone fitting this curve by simple math function</title>
      <link>http://www.mapleprimes.com/questions/134634-Can-Anyone-Fitting-This-Curve-By-Simple</link>
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    <item>
      <title>Fit</title>
      <link>http://www.mapleprimes.com/questions/134634-Can-Anyone-Fitting-This-Curve-By-Simple?ref=Feed:MaplePrimes:Can anyone fitting this curve by simple math function:Comments#answer134666</link>
      <itunes:summary>&lt;p&gt;While the detailed math relationship can be found in the picture, &lt;br&gt;extracting detailed data pairs is rather difficult. &amp;nbsp;&lt;br&gt;A digitizing program that generates x-y pairs could be used. &amp;nbsp;&lt;br&gt;The more data, the better the fit.&amp;nbsp; Fitting the picture with a simple math function, &lt;br&gt;without using piecewise or splines is not straight forward. &amp;nbsp;&lt;br&gt;Below is a very rough attempt to do so by estimating x-y pairs.&lt;br&gt;&lt;br&gt;restart: with(plots):&lt;br&gt;with(Statistics):&lt;br&gt;X := Vector([1, 25,50,75,100, 125,200, 300, 400, 500, 600]):&lt;br&gt;Y := Vector([40e3,8e3, 2000,600,350, 210,200, 180, 170, 150,140]):&lt;br&gt;eq:=NonlinearFit(a+b*exp(-c*t)+d^(-t), X, Y, t);&lt;br&gt;logplot(eq,t=0..600,y=1..100000,gridlines=true);&lt;/p&gt;
&lt;!--break--&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=134666/437892/nonlinearfit.mw"&gt;nonlinearfit.mw&lt;/a&gt;&lt;a href="/view.aspx?sf=134666/437892/plot.jpg"&gt;&lt;img src="/view.aspx?sf=134666/437892/plot.jpg" alt=""&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Regards,&lt;/p&gt;
&lt;p&gt;Georgios Kokovidis&lt;/p&gt;
&lt;p&gt;Dr&amp;auml;ger Medical&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;While the detailed math relationship can be found in the picture, &lt;br&gt;extracting detailed data pairs is rather difficult. &amp;nbsp;&lt;br&gt;A digitizing program that generates x-y pairs could be used. &amp;nbsp;&lt;br&gt;The more data, the better the fit.&amp;nbsp; Fitting the picture with a simple math function, &lt;br&gt;without using piecewise or splines is not straight forward. &amp;nbsp;&lt;br&gt;Below is a very rough attempt to do so by estimating x-y pairs.&lt;br&gt;&lt;br&gt;restart: with(plots):&lt;br&gt;with(Statistics):&lt;br&gt;X := Vector([1, 25,50,75,100, 125,200, 300, 400, 500, 600]):&lt;br&gt;Y := Vector([40e3,8e3, 2000,600,350, 210,200, 180, 170, 150,140]):&lt;br&gt;eq:=NonlinearFit(a+b*exp(-c*t)+d^(-t), X, Y, t);&lt;br&gt;logplot(eq,t=0..600,y=1..100000,gridlines=true);&lt;/p&gt;
&lt;!--break--&gt;
&lt;p&gt;&lt;a href="/view.aspx?sf=134666/437892/nonlinearfit.mw"&gt;nonlinearfit.mw&lt;/a&gt;&lt;a href="/view.aspx?sf=134666/437892/plot.jpg"&gt;&lt;img src="/view.aspx?sf=134666/437892/plot.jpg" alt=""&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Regards,&lt;/p&gt;
&lt;p&gt;Georgios Kokovidis&lt;/p&gt;
&lt;p&gt;Dr&amp;auml;ger Medical&lt;/p&gt;</description>
      <guid>134666</guid>
      <pubDate>Wed, 30 May 2012 06:22:35 Z</pubDate>
      <itunes:author>gkokovidis</itunes:author>
      <author>gkokovidis</author>
    </item>
    <item>
      <title>Tks,gkokovidis</title>
      <link>http://www.mapleprimes.com/questions/134634-Can-Anyone-Fitting-This-Curve-By-Simple?ref=Feed:MaplePrimes:Can anyone fitting this curve by simple math function:Comments#answer134704</link>
      <itunes:summary>&lt;p&gt;You answer is very useful to me. Although there is a little dismatch on the condition of vds&amp;gt;300, the precision is enough for my appliction.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;tks again for ur help.&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;You answer is very useful to me. Although there is a little dismatch on the condition of vds&amp;gt;300, the precision is enough for my appliction.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;tks again for ur help.&lt;/p&gt;</description>
      <guid>134704</guid>
      <pubDate>Thu, 31 May 2012 07:46:29 Z</pubDate>
      <itunes:author>andy.zhou.nuaa</itunes:author>
      <author>andy.zhou.nuaa</author>
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