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Paquete de métodos de optimización para funciones de una variable y multivariables

Project description

Métodos de Optimización

Este paquete proporciona métodos de optimización para funciones de una variable y multivariadas.

El contenido del paquete incluye los siguientes métodos:

Métodos para funciones de una variable: Métodos de eliminación de regiones Método de división de intervalos por la mitad Búsqueda de Fibonacci Método de la sección dorada Métodos basados en la derivada Método de Newton-Raphson Método de bisección Método de la secante

Métodos para funciones multivariadas: Métodos directos Caminata aleatoria Método de Nelder y Mead (Simplex) Método de Hooke-Jeeves Métodos de gradiente Método de Cauchy Método de Fletcher-Reeves Método de Newton

Instalación

Puedes instalar el paquete usando pip:

pip install optimnat

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