<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fortran on Tom Ragonneau</title><link>https://ragonneau.com/tags/fortran/</link><description>Recent content in Fortran on Tom Ragonneau</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 13 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ragonneau.com/tags/fortran/index.xml" rel="self" type="application/rss+xml"/><item><title>PDFO</title><link>https://ragonneau.com/projects/pdfo/</link><pubDate>Mon, 13 Jul 2026 00:00:00 +0000</pubDate><guid>https://ragonneau.com/projects/pdfo/</guid><description>&lt;p&gt;&lt;strong&gt;PDFO&lt;/strong&gt; (Powell&amp;rsquo;s Derivative-Free Optimization solvers) is an open-source, high-performance interface that wraps the legendary derivative-free optimization solvers developed by Professor M. J. D. Powell. Rather than a reimplementation, PDFO serves as a cross-platform wrapper around the original, highly optimized Fortran backends, making them natively accessible to modern computing environments.&lt;/p&gt;
&lt;p&gt;PDFO aims at solving general nonlinear optimization problems of the form:&lt;/p&gt;
&lt;p&gt;$$\min_{x \in \mathcal{X}} \quad f (x)$$&lt;/p&gt;
&lt;p&gt;where the constraints defining the feasible set $\mathcal{X} \subseteq \mathbb{R}^n$ depend entirely on the underlying Powell solver selected to execute the task:&lt;/p&gt;</description></item></channel></rss>