<?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>Svd on HJJJ的个人小站</title><link>https://hjjj.top/tags/svd/</link><description>Recent content in Svd on HJJJ的个人小站</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 04 Aug 2026 00:00:00 +1000</lastBuildDate><atom:link href="https://hjjj.top/tags/svd/index.xml" rel="self" type="application/rss+xml"/><item><title>线性代数基础（三）：特征值与分解</title><link>https://hjjj.top/posts/computer-science/linear-algebra/eigenvalues-and-decompositions/</link><pubDate>Tue, 04 Aug 2026 00:00:00 +1000</pubDate><guid>https://hjjj.top/posts/computer-science/linear-algebra/eigenvalues-and-decompositions/</guid><description>特征值、对角化与 SVD：看懂梯度消失与低秩近似的谱视角</description></item></channel></rss>