<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Linear Algebra on Nam Le</title><link>https://blog.namln.org/en/categories/linear-algebra/</link><description>Recent content in Linear Algebra on Nam Le</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 27 Jun 2024 23:14:15 +0800</lastBuildDate><atom:link href="https://blog.namln.org/en/categories/linear-algebra/index.xml" rel="self" type="application/rss+xml"/><item><title>Mathematics - Linear Algebra</title><link>https://blog.namln.org/en/mathematics/algebra/linear-algebra/</link><pubDate>Thu, 27 Jun 2024 23:14:15 +0800</pubDate><guid>https://blog.namln.org/en/mathematics/algebra/linear-algebra/</guid><description>&lt;p&gt;
 &lt;img src="https://upload.wikimedia.org/wikipedia/commons/0/0e/Linear_Function_Graph.svg" alt&gt;
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 &lt;em&gt;Linear equations with two variables can be interpreted geometrically as lines. The solution of a system of linear equations is where the lines intersect.&lt;/em&gt;
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&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;: Linear algebra studies vector spaces, matrices, linear transformations, systems of equations, determinants, and eigenvalues, making it one of the most widely used areas of mathematics. It is also the natural foundation for more advanced algebra because it trains students to think structurally while still staying close to concrete examples and computations.&lt;/p&gt;</description></item></channel></rss>