Numerical Analysis code from the Oscar Veliz YouTube Channel

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

A JavaScript library of sorted array operations

All Python algorithms published by Open Source Modelling in one place.

Numerical analysis methods implemented in Python.

A collection of Python programs that helps in Numerical Analysis.

Three C++ projects assigned for the Numerical Methods for Electrical Engineering (EE 242) course in the Spring 2021 semester.

Utilizing root-finding methods such as Bisection Method, Fixed-Point Method, Secant Method, and Newton's Method to solve for the roots of functions

In numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm

Python implementation of Methods and Algorithm or Numerical Computing Course. You just have to Enter the input values from the question and All the iterations will be generated automatically.

This is a Numerical Analysis course project, implementing numerical analysis methods.

If you find any errors in the work of algorithms, you can fix them by creating a pull request

MAL111 - Mathematics Laboratory MATLAB Codes. Bisection Method, Fixed Point Method, Gauss Elimination, Gauss Jordan, Matrix Inversion, Lagrange Interpolation, Newton-Raphson, Regula-Falsi, Row Reduced Echelon Form, Simpson's Integration, Trapezoidal Method.

Numerical Method Codes in Python

A quick implementation of the Bisection Method in TypeScript.

This is a Numerical Analysis course project, implementing numerical analysis methods.

Some Numerical Analysis algorithms implemented in Python.

Om this repository I followed the basic exercise to understand how Git Bisect works and be able to understand binary search

C++11 implementation of numerical algorithms described in Numerical Analysis by Richard L. Burden and J. Douglas Faires

Implementación de un Sistema de Inferencia Difusa para el problema de las colas de un determinado producto. Para su solución se utilizan varios métodos de agregación (Takagi Sugeno Kang y Tsukamoto), varios metodos de desdifusificación (Centroide, Bisección, entre otros) y varias funciones de pertenencia (Triangular, Trapezoidales y Gausiana).