<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Brent's Method on Inflection Quant</title><link>https://inflectionquant.com/tags/brents-method/</link><description>Recent content in Brent's Method on Inflection Quant</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 09 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://inflectionquant.com/tags/brents-method/index.xml" rel="self" type="application/rss+xml"/><item><title>Solving for Implied Volatility: Making Newton's Method Production-Ready</title><link>https://inflectionquant.com/articles/newton_vs_brent_vol_solver/</link><pubDate>Thu, 09 Apr 2026 00:00:00 +0000</pubDate><guid>https://inflectionquant.com/articles/newton_vs_brent_vol_solver/</guid><description>&lt;h2 id="why-this-matters"&gt;Why This Matters&lt;/h2&gt;
&lt;p&gt;I plan to write about calibrating a full volatility surface, and that work rests on a clear understanding of a simpler problem: solving for implied vol from a single option price. At its core, this is a root-finding problem. Given a market quote, we look for the volatility at which the model price matches the market price. A common algorithm for this is Newton&amp;rsquo;s method. I learned it in class, saw it in textbooks, and implemented it in the traders&amp;rsquo; tools at work. Most of the time it just works. I knew convergence wasn&amp;rsquo;t guaranteed, but that stayed abstract until I hit an edge case.&lt;/p&gt;</description></item></channel></rss>