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	<title>Numerical solutions of differential equations - Revision history</title>
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	<updated>2026-04-10T05:32:45Z</updated>
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		<title>Rice: Created page with &quot;Category:Differential Equations *Note that this is not tested in MAT22B  Numerical solutions of IVPs involve using taylor series and the definition of derivatives:  &lt;math&gt; \frac{dy}{dx}(x=x_0) = \lim_{h\rightarrow 0}\frac{y(x_0+h)-y(x_0)}{h} &lt;/math&gt;  Since we know one initial value of the function, we can use the above property to iteratively approximate the surrounding values with a small step (h).  = Classification =  Numerical solutions are evaluated by th...&quot;</title>
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		<updated>2024-05-17T21:24:15Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;&lt;a href=&quot;/mediawiki/index.php/Category:Differential_Equations&quot; title=&quot;Category:Differential Equations&quot;&gt;Category:Differential Equations&lt;/a&gt; *Note that this is not tested in MAT22B  Numerical solutions of &lt;a href=&quot;/mediawiki/index.php/IVP&quot; class=&quot;mw-redirect&quot; title=&quot;IVP&quot;&gt;IVPs&lt;/a&gt; involve using &lt;a href=&quot;/mediawiki/index.php?title=Taylor_series&amp;amp;action=edit&amp;amp;redlink=1&quot; class=&quot;new&quot; title=&quot;Taylor series (page does not exist)&quot;&gt;taylor series&lt;/a&gt; and the definition of derivatives:  &amp;lt;math&amp;gt; \frac{dy}{dx}(x=x_0) = \lim_{h\rightarrow 0}\frac{y(x_0+h)-y(x_0)}{h} &amp;lt;/math&amp;gt;  Since we know one initial value of the function, we can use the above property to iteratively approximate the surrounding values with a small step (h).  = Classification =  Numerical solutions are evaluated by th...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;[[Category:Differential Equations]]&lt;br /&gt;
*Note that this is not tested in MAT22B&lt;br /&gt;
&lt;br /&gt;
Numerical solutions of [[IVP]]s involve using [[taylor series]] and the definition of derivatives:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\frac{dy}{dx}(x=x_0) = \lim_{h\rightarrow 0}\frac{y(x_0+h)-y(x_0)}{h}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Since we know one initial value of the function, we can use the above property to iteratively approximate the surrounding values with a small step (h).&lt;br /&gt;
&lt;br /&gt;
= Classification =&lt;br /&gt;
&lt;br /&gt;
Numerical solutions are evaluated by three criterias:&lt;br /&gt;
# &amp;#039;&amp;#039;Convergence&amp;#039;&amp;#039; checks if the solution is correct as h approaches 0&lt;br /&gt;
# &amp;#039;&amp;#039;Accuracy&amp;#039;&amp;#039; measures how good the approximation is&lt;br /&gt;
# &amp;#039;&amp;#039;Stability&amp;#039;&amp;#039; I am not very familiar with.&lt;br /&gt;
&lt;br /&gt;
Accuracy is measured by &amp;#039;&amp;#039;order&amp;#039;&amp;#039; of h in the error. A higher order usually means that with each reduction in h, there is a greater increase in accuracy.&lt;/div&gt;</summary>
		<author><name>Rice</name></author>
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