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This article discusses the Gaussian elimination algorithm, one of the most fundamental and important numerical algorithms of all time. It is used to solve linear equations of the form
\[\mathbf{A} \vec{x} = \vec{b},\]
where \(\mathbf{A}\) is a known \(N\times N\) matrix, \(\vec{b}\) is a known vector of length \(N\), and \(\vec{x}\) is an unknown vector of length \(N\). The goal is to find \(\vec{x}\). The Gaussian elimination algorithm is implemented by Scipy's scipy.linalg.solve function.
This page titled 5: Gaussian Elimination was last modified on Fri, 26 Nov 2021 03:04:33 GMT and is shared under a CC BY-SA 4.0 license and was authored, remixed, and/or curated by Y. D. Chong via source content that was edited to the style and standards of the LibreTexts platform.
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