<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Matrix-Algebra on Home</title><link>https://wamli.github.io/tags/matrix-algebra/</link><description>Recent content in Matrix-Algebra on Home</description><generator>Hugo</generator><language>en-US</language><copyright>&amp;copy; 2026 Christoph Brewing</copyright><lastBuildDate>Fri, 15 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://wamli.github.io/tags/matrix-algebra/index.xml" rel="self" type="application/rss+xml"/><item><title>From Math to Silicon: Implementing BLR+ARD with Rust and faer</title><link>https://wamli.github.io/blog/blr-implementation-rust-faer/</link><pubDate>Fri, 15 May 2026 00:00:00 +0000</pubDate><guid>https://wamli.github.io/blog/blr-implementation-rust-faer/</guid><description>The central theme is deceptively simple: never invert a matrix if you can avoid it. This post walks through the production Rust code that makes Bayesian Linear Regression with ARD efficient, numerically safe, and ready for embedded systems. Everything else follows from understanding why this principle matters.</description></item></channel></rss>