<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Interval-Arithmetic on Pi Stack</title>
    <link>https://www.pistack.xyz/tags/interval-arithmetic/</link>
    <description>Recent content in Interval-Arithmetic on Pi Stack</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Mon, 22 Jun 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://www.pistack.xyz/tags/interval-arithmetic/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Self-Hosted C&#43;&#43; Interval Arithmetic Libraries: Boost.Interval vs GAOL vs filib&#43;&#43;</title>
      <link>https://www.pistack.xyz/posts/2026-06-22-cpp-interval-arithmetic-libraries-boost-interval-gaol-filibpp/</link>
      <pubDate>Mon, 22 Jun 2026 00:00:00 +0000</pubDate>
      <guid>https://www.pistack.xyz/posts/2026-06-22-cpp-interval-arithmetic-libraries-boost-interval-gaol-filibpp/</guid>
      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;In numerical computing, floating-point rounding errors are an unavoidable reality. A calculation that should return exactly 0.1 might return 0.09999999999999999 due to IEEE 754 representation limits. For safety-critical applications — aerospace control systems, financial risk analysis, scientific instrument calibration — these errors compound and can produce dangerously wrong results. &lt;strong&gt;Interval arithmetic&lt;/strong&gt; solves this by representing each value not as a single floating-point number, but as an interval &lt;code&gt;[lower, upper]&lt;/code&gt; guaranteed to contain the true mathematical result.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
