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: [email protected]

Numerical methods and graph plotting using Python

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.

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.