<?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: Golang on IMTI</title><link>http://imti.co/tags/linear-algebra-golang/</link><description>Recent content in Linear Algebra: Golang on IMTI</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 25 May 2022 00:00:00 +0000</lastBuildDate><atom:link href="http://imti.co/tags/linear-algebra-golang/index.xml" rel="self" type="application/rss+xml"/><item><title>Linear Algebra in Go: High-Performance Computing</title><link>http://imti.co/go-linear-algebra-hpc/</link><pubDate>Wed, 25 May 2022 00:00:00 +0000</pubDate><guid>http://imti.co/go-linear-algebra-hpc/</guid><description>&lt;p&gt;This final article in the series covers &lt;strong&gt;high-performance computing&lt;/strong&gt; techniques for linear algebra in Go: BLAS/LAPACK integration, parallel operations, memory optimization, and benchmarking.&lt;/p&gt;</description></item><item><title>Linear Algebra in Go: Neural Network Foundations</title><link>http://imti.co/go-linear-algebra-neural-networks/</link><pubDate>Sun, 20 Mar 2022 00:00:00 +0000</pubDate><guid>http://imti.co/go-linear-algebra-neural-networks/</guid><description>&lt;p&gt;This article implements &lt;strong&gt;neural network foundations&lt;/strong&gt; in Go using gonum: a perceptron, forward propagation, and backpropagation from scratch.&lt;/p&gt;</description></item><item><title>Linear Algebra in Go: PCA Implementation</title><link>http://imti.co/go-linear-algebra-pca/</link><pubDate>Sat, 15 Jan 2022 00:00:00 +0000</pubDate><guid>http://imti.co/go-linear-algebra-pca/</guid><description>&lt;p&gt;This article implements &lt;strong&gt;Principal Component Analysis (PCA)&lt;/strong&gt; from scratch in Go using gonum, covering both the covariance matrix and SVD approaches.&lt;/p&gt;</description></item><item><title>Linear Algebra in Go: Building a Regression Library</title><link>http://imti.co/go-linear-algebra-regression/</link><pubDate>Wed, 10 Nov 2021 00:00:00 +0000</pubDate><guid>http://imti.co/go-linear-algebra-regression/</guid><description>&lt;p&gt;This article demonstrates building a &lt;strong&gt;regression library&lt;/strong&gt; in Go from scratch using gonum: ordinary least squares, ridge regression, and cross-validation.&lt;/p&gt;</description></item><item><title>Linear Algebra in Go: Statistics and Data Analysis</title><link>http://imti.co/go-linear-algebra-statistics/</link><pubDate>Sun, 05 Sep 2021 00:00:00 +0000</pubDate><guid>http://imti.co/go-linear-algebra-statistics/</guid><description>&lt;p&gt;This article covers &lt;strong&gt;statistics and data analysis&lt;/strong&gt; in Go using gonum/stat and gonum/mat: descriptive statistics, covariance matrices, and correlation analysis.&lt;/p&gt;</description></item><item><title>Linear Algebra in Go: SVD and Decompositions</title><link>http://imti.co/go-linear-algebra-svd/</link><pubDate>Wed, 30 Jun 2021 00:00:00 +0000</pubDate><guid>http://imti.co/go-linear-algebra-svd/</guid><description>&lt;p&gt;This article covers &lt;strong&gt;Singular Value Decomposition (SVD)&lt;/strong&gt; and related matrix decompositions in Go. SVD is fundamental to many applications including dimensionality reduction, pseudoinverse computation, and low-rank approximation.&lt;/p&gt;</description></item><item><title>Linear Algebra in Go: Eigenvalue Problems</title><link>http://imti.co/go-linear-algebra-eigenvalues/</link><pubDate>Sun, 25 Apr 2021 00:00:00 +0000</pubDate><guid>http://imti.co/go-linear-algebra-eigenvalues/</guid><description>&lt;p&gt;This article covers &lt;strong&gt;eigenvalue problems&lt;/strong&gt; in Go using the gonum library. Eigenvalues and eigenvectors are fundamental to many algorithms including PCA, spectral clustering, and dynamical systems analysis.&lt;/p&gt;</description></item><item><title>Linear Algebra in Go: Solving Linear Systems</title><link>http://imti.co/go-linear-algebra-systems/</link><pubDate>Sat, 20 Feb 2021 00:00:00 +0000</pubDate><guid>http://imti.co/go-linear-algebra-systems/</guid><description>&lt;p&gt;This article covers &lt;strong&gt;solving linear systems&lt;/strong&gt; in Go using the gonum library, including direct methods with &lt;code&gt;mat.Solve&lt;/code&gt;, LU decomposition, and Cholesky decomposition for positive-definite matrices.&lt;/p&gt;</description></item><item><title>Linear Algebra in Go: Matrix Fundamentals</title><link>http://imti.co/go-linear-algebra-matrices/</link><pubDate>Tue, 15 Dec 2020 00:00:00 +0000</pubDate><guid>http://imti.co/go-linear-algebra-matrices/</guid><description>&lt;p&gt;This article covers &lt;strong&gt;matrix fundamentals&lt;/strong&gt; in Go using the gonum library: matrix creation, basic arithmetic operations, and common matrix manipulations.&lt;/p&gt;</description></item><item><title>Linear Algebra in Go: Vectors and Basic Operations</title><link>http://imti.co/go-linear-algebra-vectors/</link><pubDate>Sat, 10 Oct 2020 00:00:00 +0000</pubDate><guid>http://imti.co/go-linear-algebra-vectors/</guid><description>&lt;p&gt;This article begins a new series on &lt;strong&gt;linear algebra in Go&lt;/strong&gt;, demonstrating how to perform numerical computations using the &lt;a href="https://www.gonum.org/"&gt;gonum&lt;/a&gt; library. If you&amp;rsquo;ve followed the &lt;a href="https://imti.co/linear-algebra-vectors/"&gt;Linear Algebra Crash Course in Python&lt;/a&gt;, this series provides a parallel implementation in Go with performance comparisons.&lt;/p&gt;</description></item></channel></rss>