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    <title>MaplePrimes - answers and comments on Question, Differential equations solving and plotting</title>
    <link>http://www.mapleprimes.com/questions/142809-Differential-Equations-Solving-And-Plotting</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
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    <lastBuildDate>Tue, 09 Jun 2026 11:21:10 GMT</lastBuildDate>
    <pubDate>Tue, 09 Jun 2026 11:21:10 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>The latest answers and comments added to the Question, Differential equations solving and plotting</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - answers and comments on Question, Differential equations solving and plotting</title>
      <link>http://www.mapleprimes.com/questions/142809-Differential-Equations-Solving-And-Plotting</link>
    </image>
    <item>
      <title>Numerical solution</title>
      <link>http://www.mapleprimes.com/questions/142809-Differential-Equations-Solving-And-Plotting?ref=Feed:MaplePrimes:Differential equations solving and plotting:Comments#answer142814</link>
      <itunes:summary>&lt;p&gt;It seems only a numerical solution is feasible. Try this as a starting point for further investigations:&lt;/p&gt;
&lt;p&gt;m := 5:&lt;br&gt;X := diff(F(t),t$2)+(10+8*sin(m*t)/(m*t))*F(t) = 0;&lt;br&gt;ics := F(0)=1,D(F)(0)=0;&lt;br&gt;sol_proc := dsolve([X,ics],numeric);&lt;br&gt;plots:-odeplot(sol_proc,t=0..10);&lt;br&gt;&lt;br&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;It seems only a numerical solution is feasible. Try this as a starting point for further investigations:&lt;/p&gt;
&lt;p&gt;m := 5:&lt;br&gt;X := diff(F(t),t$2)+(10+8*sin(m*t)/(m*t))*F(t) = 0;&lt;br&gt;ics := F(0)=1,D(F)(0)=0;&lt;br&gt;sol_proc := dsolve([X,ics],numeric);&lt;br&gt;plots:-odeplot(sol_proc,t=0..10);&lt;br&gt;&lt;br&gt;&lt;/p&gt;</description>
      <guid>142814</guid>
      <pubDate>Wed, 30 Jan 2013 18:42:26 Z</pubDate>
      <itunes:author>Thomas Richard</itunes:author>
      <author>Thomas Richard</author>
    </item>
    <item>
      <title>Numeric solution</title>
      <link>http://www.mapleprimes.com/questions/142809-Differential-Equations-Solving-And-Plotting?ref=Feed:MaplePrimes:Differential equations solving and plotting:Comments#answer142815</link>
      <itunes:summary>&lt;p&gt;For a numerical solution m and initial conditions must have numerical values:&lt;/p&gt;
&lt;p&gt;X := diff(F(t), t$2)+(10+8*sin(m*t)/(m*t))*F(t) = 0;&lt;br&gt;T:=2*Pi: #Change as desired&lt;br&gt;res:=dsolve({eval(X,m=1),F(0)=1,D(F)(0)=0},numeric,range=T);&lt;br&gt;plots:-odeplot(res,[t,F(t)],0..T,refine=1);&lt;br&gt;&lt;br&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;For a numerical solution m and initial conditions must have numerical values:&lt;/p&gt;
&lt;p&gt;X := diff(F(t), t$2)+(10+8*sin(m*t)/(m*t))*F(t) = 0;&lt;br&gt;T:=2*Pi: #Change as desired&lt;br&gt;res:=dsolve({eval(X,m=1),F(0)=1,D(F)(0)=0},numeric,range=T);&lt;br&gt;plots:-odeplot(res,[t,F(t)],0..T,refine=1);&lt;br&gt;&lt;br&gt;&lt;/p&gt;</description>
      <guid>142815</guid>
      <pubDate>Wed, 30 Jan 2013 18:46:20 Z</pubDate>
      <itunes:author>Preben Alsholm</itunes:author>
      <author>Preben Alsholm</author>
    </item>
    <item>
      <title>Generalization</title>
      <link>http://www.mapleprimes.com/questions/142809-Differential-Equations-Solving-And-Plotting?ref=Feed:MaplePrimes:Differential equations solving and plotting:Comments#comment142816</link>
      <itunes:summary>&lt;p&gt;&amp;gt; X := diff(F(t), `$`(t, 2))+(10+8*sin(m*t)/(m*t))*F(t) = 0;&lt;br&gt;&amp;gt; sol := dsolve({eval(X), F((1/2)*Pi) = a, (D(F))((1/2)*Pi) = b}, numeric, parameters = [a, b, m], output = listprocedure);&lt;br&gt;&amp;gt; sol(parameters = [1, -2, 1]);&lt;br&gt;&amp;gt; plots:-odeplot(sol, t = 0 .. 2*Pi);&lt;/p&gt;
&lt;p&gt;&lt;img 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" alt=""&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;</itunes:summary>
      <description>&lt;p&gt;&amp;gt; X := diff(F(t), `$`(t, 2))+(10+8*sin(m*t)/(m*t))*F(t) = 0;&lt;br&gt;&amp;gt; sol := dsolve({eval(X), F((1/2)*Pi) = a, (D(F))((1/2)*Pi) = b}, numeric, parameters = [a, b, m], output = listprocedure);&lt;br&gt;&amp;gt; sol(parameters = [1, -2, 1]);&lt;br&gt;&amp;gt; plots:-odeplot(sol, t = 0 .. 2*Pi);&lt;/p&gt;
&lt;p&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;</description>
      <guid>142816</guid>
      <pubDate>Wed, 30 Jan 2013 18:50:22 Z</pubDate>
      <itunes:author>Markiyan Hirnyk</itunes:author>
      <author>Markiyan Hirnyk</author>
    </item>
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