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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent changes to Issues</title><link>https://sourceforge.net/p/veel/wiki/Issues/</link><description>Recent changes to Issues</description><atom:link href="https://sourceforge.net/p/veel/wiki/Issues/feed" rel="self"/><language>en</language><lastBuildDate>Thu, 05 Feb 2015 19:00:49 -0000</lastBuildDate><atom:link href="https://sourceforge.net/p/veel/wiki/Issues/feed" rel="self" type="application/rss+xml"/><item><title>Issues modified by Marius 't Hart</title><link>https://sourceforge.net/p/veel/wiki/Issues/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v1
+++ v2
@@ -1,5 +1,5 @@
-Known Issues
+** Known Issues **

-Strange fits
+_Strange fits_

 Sometimes fits don't make sense. That seems to be because fitting exponential curves to noisy data using a least squares fitting algorithm doesn't always work out. One solution is to pick really good starting parameters, but the algorithm for picking those is something I'm not looking forward to implement.
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Marius 't Hart</dc:creator><pubDate>Thu, 05 Feb 2015 19:00:49 -0000</pubDate><guid>https://sourceforge.neta443d9834b4f28873ac7dc2e442f80c9934330f0</guid></item><item><title>Issues modified by Marius 't Hart</title><link>https://sourceforge.net/p/veel/wiki/Issues/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;Known Issues&lt;/p&gt;
&lt;p&gt;Strange fits&lt;/p&gt;
&lt;p&gt;Sometimes fits don't make sense. That seems to be because fitting exponential curves to noisy data using a least squares fitting algorithm doesn't always work out. One solution is to pick really good starting parameters, but the algorithm for picking those is something I'm not looking forward to implement.&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Marius 't Hart</dc:creator><pubDate>Thu, 05 Feb 2015 19:00:11 -0000</pubDate><guid>https://sourceforge.net8b097daba4abf98de9d7b5373e7d269a7efbbdee</guid></item></channel></rss>