heun-method

Implementation of several popular solvers for solving ODEs in MATLAB.

Python simulation of a coupled mass–spring–damper system under an impulse input, comparing Euler and Heun (RK2) methods against odeint, with damping-ratio estimation and error analysis.

Numerical Solution for Ordinary Differential Equations - Euler, Ralston's Second-Order RK, Fourth-Order Runge-Kutta, NSS Heun, Adams-Bashforts, Adams-Moulton

This repositary contains the MATLAB implementation of main numerical methods like Newton-Raphson, Simpson's integration and numerical ODE solver.

Ordinary Differential Equation Framework, written in Pure Rust

Deep Learning Project on Diffusion Models for Image Generation

Códigos en Python del libro "Pythonizando los números - Métodos numéricos para ingenieros"

Repositório destinado ao projeto de EDO (Equações Diferenciais Ordinárias) da disciplina de Séries e Equações Diferenciais. UFSC-Joinville.

Contains functions to deploy the Forward Euler's Method, Heun's Method, and Runge-Kutta Method. All you have to do is input your derivative formula, method, step size, initial values, and how many iterations. It will output a chart of all iterations.

This program will help you to find out the answers of the Numerical methods

This project explores different numerical methods to solve predator-prey models, specifically systems of differential equations. The models describe the dynamics between two species (predator and prey) using a set of equations with specified parameters.

Comparing different numerical iteration techniques by tracing out trajectories of massive celestial bodies and projectiles in static fields.

Repositório para os códigos da matéria de Métodos Numéricos para Equações Diferenciais IPRJ01-07584

Gradient method, Newton method, Euler and Heun method, discrete Fourier transform and Monte Carlo simulation in C++