<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MatLab on Shai Asher</title><link>https://slow-is-smooth.io/tags/matlab/</link><description>Recent content in MatLab on Shai Asher</description><generator>Hugo</generator><language>en-gb</language><lastBuildDate>Sun, 20 Jul 2025 19:19:31 +0000</lastBuildDate><atom:link href="https://slow-is-smooth.io/tags/matlab/index.xml" rel="self" type="application/rss+xml"/><item><title>Solving Project Euler 38 with MATLAB: The Vectorized Pandigital Blitz</title><link>https://slow-is-smooth.io/blog/solving-project-euler-38-with-matlab-the-vectorized-pandigital-blitz/</link><pubDate>Sun, 20 Jul 2025 19:19:31 +0000</pubDate><guid>https://slow-is-smooth.io/blog/solving-project-euler-38-with-matlab-the-vectorized-pandigital-blitz/</guid><description>&lt;blockquote&gt;&#10;&lt;p&gt;&lt;em&gt;This post is part of a multi-language series exploring the problem of finding the largest 1–9 pandigital concatenated product. Check out the&lt;/em&gt; &lt;a href="https://slow-is-smooth.io/blog/solving-pandigital-multiples-with-c-and-length-based-pruning/"&gt;&lt;em&gt;C#&lt;/em&gt;&lt;/a&gt; &lt;em&gt;and&lt;/em&gt; &lt;a href="https://slow-is-smooth.io/blog/programmatically-finding-pandigital-multiples/"&gt;&lt;em&gt;Python&lt;/em&gt;&lt;/a&gt; &lt;em&gt;editions too.&lt;/em&gt;&lt;/p&gt;&#10;&lt;/blockquote&gt;&#10;&lt;h2 id="why-matlab"&gt;Why MATLAB?&lt;/h2&gt;&#10;&lt;p&gt;MATLAB might not be the first language that comes to mind for algorithmic problem solving, but its strength in matrix manipulation and vectorized computation makes it a powerful ally for concise, high-performance numeric routines.&lt;/p&gt;</description></item></channel></rss>