Metadata-Version: 2.1
Name: NumIntM
Version: 0.0.2
Summary: Numerical integration using methods like: Trapezoidal method, Simpson rule, Newton cotes method and Compound trapezoidal method 
Home-page: 
Author: Emmanuel Martínez
Author-email: 
License: MIT
Keywords: numerical integration aproximation
Classifier: Development Status :: 6 - Mature
Classifier: Intended Audience :: Education
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Natural Language :: Spanish
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Mathematics
License-File: LICENCE.txt

Hi!, with this package you can use different methods in order to aproximate the numerical integration of a function,
using methods like: Trapezoidal method, Simpson rule, Newton cotes method and Compound trapezoidal method.

You can invoke the following methods: 

1.- funcion(x) --- by defult is: funcion(x) = 1/(1+(x**2))

2.- trapecio(f,x_0,x_1,h)

3.- Simpson(f,x_0,x_1,x_2,h)

4.- NewtonCotOpen(f,x_1,x_2,x_3,x_4,h)

5.- trap_Comp(f,a,b,h,n):

6.- analitica(a,b)

7.- error(analitica, numerica)

