Methods of numerical modelling with undergraduate level computational physics solutions with non-linear equations, gaussian probabilities, and Euler RK4 integration

Numerical Methods (NM) for BE Electrical II Year / II Part, Email: nm.khwopa@gmail.com

This repository includes numerical integration-based solutions for solving non-linear equations. The solutions include Newton Raphson technique for algebraic equations and Euler's/Modified-Euler's/Runge-Kutta (RK4) for differential algebraic equations.

Numerical methods and graph plotting using Python

Studying multiple classical numerical analysis problems, and exposing for each one several approaches and resolution methods.

The repository "Prac_Codes" on GitHub by VIA-s-acc contains various classes and methods for solving linear and non-linear equations, performing numerical integration, and addressing mathematical physics problems. It includes tools for generating and solving equations, matrix operations, polynomial manipulation, interpolation, and more.

Solución a problemas utilizando tecnicas numericas

A web application that could find the real or complex roots of any equation with a single unknown using numerical analysis based on muller method which is an enhanced form of the secant method

Finding Roots of a Polynomial using c#

Partern formation in discrete time & space model

BSU labs on solving non-linear equations and non-linear systems

in this repository, we learn how to find equilibrium points of a system of non-linear ODE and calculate the solution using Runge-Kutta Fourth Order (RK4). The equations used here can be found in the article link attached.