<?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>Criterion on SciDraft | A Hugo Theme</title><link>https://www.zhumengyao.com/scidraft/tags/criterion/</link><description>Recent content in Criterion on SciDraft | A Hugo Theme</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 21 Sep 2026 11:42:00 +0900</lastBuildDate><atom:link href="https://www.zhumengyao.com/scidraft/tags/criterion/index.xml" rel="self" type="application/rss+xml"/><item><title>The Polyak-Lojasiewicz Criterion (criterion)</title><link>https://www.zhumengyao.com/scidraft/notes/demo-note-criterion-pl-condition/</link><pubDate>Mon, 21 Sep 2026 11:42:00 +0900</pubDate><guid>https://www.zhumengyao.com/scidraft/notes/demo-note-criterion-pl-condition/</guid><description>&lt;p&gt;&lt;strong&gt;Demo note.&lt;/strong&gt; This note demonstrates what the &lt;strong&gt;SciDraft&lt;/strong&gt; Hugo theme can do
for academic and scientific publishing — for research institutions, researchers
and students. Its content is demonstration material only: readers should ignore
whether the demo content is correct.&lt;/p&gt;
&lt;p&gt;A criterion is a condition that decides whether an argument or a method applies, and this
one is the usual substitute for convexity in the analysis of gradient descent: it bounds the
loss by the size of its gradient, so a small gradient implies a small excess loss.&lt;/p&gt;</description></item><item><title>Sylvester's Criterion for Positive Definiteness (criterion)</title><link>https://www.zhumengyao.com/scidraft/notes/demo-note-criterion-sylvester/</link><pubDate>Mon, 21 Sep 2026 09:42:00 +0900</pubDate><guid>https://www.zhumengyao.com/scidraft/notes/demo-note-criterion-sylvester/</guid><description>&lt;p&gt;&lt;strong&gt;Demo note.&lt;/strong&gt; This note demonstrates what the &lt;strong&gt;SciDraft&lt;/strong&gt; Hugo theme can do
for academic and scientific publishing — for research institutions, researchers
and students. Its content is demonstration material only: readers should ignore
whether the demo content is correct.&lt;/p&gt;
&lt;p&gt;Positive definiteness is the condition that decides whether a quadratic form curves
upwards, and Sylvester&amp;rsquo;s criterion turns it into a finite computation: look at the
determinants of the leading blocks of the matrix, from the top left outwards.&lt;/p&gt;</description></item></channel></rss>