<?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>数值计算 on s-ai-unix's Blog</title><link>https://s-ai-unix.github.io/tags/%E6%95%B0%E5%80%BC%E8%AE%A1%E7%AE%97/</link><description>Recent content in 数值计算 on s-ai-unix's Blog</description><generator>Hugo -- 0.161.1</generator><language>zh-cn</language><lastBuildDate>Wed, 21 Jan 2026 23:00:00 +0800</lastBuildDate><atom:link href="https://s-ai-unix.github.io/tags/%E6%95%B0%E5%80%BC%E8%AE%A1%E7%AE%97/index.xml" rel="self" type="application/rss+xml"/><item><title>蒙特卡罗算法：从原子弹到人工智能的随机之旅</title><link>https://s-ai-unix.github.io/posts/2026-01-21-monte-carlo-method/</link><pubDate>Wed, 21 Jan 2026 23:00:00 +0800</pubDate><guid>https://s-ai-unix.github.io/posts/2026-01-21-monte-carlo-method/</guid><description>从曼哈顿计划的保密代号到现代科学计算的核心工具，本文系统介绍蒙特卡罗方法的发展历程、数学基础和广泛应用。</description></item></channel></rss>