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5: Eliminación gaussiana

Última actualización

30 oct 2022
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- 4.3: Ejercicios
- 5.1: El Algoritmo Básico

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En este artículo se discute el algoritmo de eliminación gaussiana, uno de los algoritmos numéricos más fundamentales e importantes de todos los tiempos. Se utiliza para resolver ecuaciones lineales de la forma

$\mathbf{A} \vec{x} = \vec{b},$

donde $\mathbf{A}$ es una $N\times N$ matriz conocida, $\vec{b}$ es un vector conocido de longitud $N$ , y $\vec{x}$ es un vector desconocido de longitud $N$ . El objetivo es encontrar $\vec{x}$ . El algoritmo de eliminación gaussiana es implementado por la función scipy.linalg.solve de Scipy.

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