<?xml version="1.0" encoding="UTF-8"?>
<!-- generator="FeedCreator 1.8" -->
<?xml-stylesheet href="https://dokuwiki.grogra.de/lib/exe/css.php?s=feed" type="text/css"?>
<rdf:RDF
    xmlns="http://purl.org/rss/1.0/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
    xmlns:dc="http://purl.org/dc/elements/1.1/">
    <channel rdf:about="https://dokuwiki.grogra.de/feed.php">
        <title>GroIMP wiki - 02_user_tutorials:23_ode</title>
        <description></description>
        <link>https://dokuwiki.grogra.de/</link>
        <image rdf:resource="https://dokuwiki.grogra.de/lib/exe/fetch.php?media=wiki:dokuwiki.svg" />
       <dc:date>2026-05-16T08:20:20+00:00</dc:date>
        <items>
            <rdf:Seq>
                <rdf:li rdf:resource="https://dokuwiki.grogra.de/doku.php?id=02_user_tutorials:23_ode:getting_started&amp;rev=1765384343&amp;do=diff"/>
            </rdf:Seq>
        </items>
    </channel>
    <image rdf:about="https://dokuwiki.grogra.de/lib/exe/fetch.php?media=wiki:dokuwiki.svg">
        <title>GroIMP wiki</title>
        <link>https://dokuwiki.grogra.de/</link>
        <url>https://dokuwiki.grogra.de/lib/exe/fetch.php?media=wiki:dokuwiki.svg</url>
    </image>
    <item rdf:about="https://dokuwiki.grogra.de/doku.php?id=02_user_tutorials:23_ode:getting_started&amp;rev=1765384343&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-12-10T16:32:23+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>How to use the ODE framework</title>
        <link>https://dokuwiki.grogra.de/doku.php?id=02_user_tutorials:23_ode:getting_started&amp;rev=1765384343&amp;do=diff</link>
        <description>How to use the ODE framework

Since GroIMP 1.0 a new ODE framework is available to modellers. This allows easy specification and solution of differential equations, which are used in many FSPMs. The key component of this framework is a new operator :&#039;= called the deferred rate assignment operator. $y&#039; = f(t,y),y(t0) = y0$$$
\begin{align}
k_1 &amp;= y_n+\tfrac{1}{6}\left(k_1+2k_2+2k_3+k_4 \right)\\
t_{n+1} &amp;= t_n+h
\end{align}$$

where $$ is the RK4 approximation of $$$
\begin{align} 
k_1 &amp;= f(t_n,y_…</description>
    </item>
</rdf:RDF>
