Metadata-Version: 2.1
Name: optimnat
Version: 0.1.1
Summary: Paquete de métodos de optimización para funciones de una variable y multivariables
Home-page: https://github.com/n4tJM/optimnat_project
Author: Natalia Jarquin
Author-email: ux21ii179@ux.edu.mx
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE

# Optimization Methods

This package provides optimization methods for univariate and multivariate functions.

The package content includes the following methods:

Methods for functions of a variable:
 * Region removal methods
 * Interval halving method
 * Fibonacci search
 * Golden section method
 * Derivative-based methods
 * Newton-Raphson method
 * Bisection method
 * Secant method

Methods for multivariate functions:
 * Direct methods
 * Random walk
 * Nelder and Mead method (Simplex)
 * Hooke-Jeeves method
 * Gradient methods
 * Cauchy method
 * Fletcher-Reeves method
 * Newton's method

## Facility

You can install the package using `pip`:

```sh
pip install optimnat
