A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

∫ Straightforward numerical integration of systems of ordinary differential equations

ODE system solver made simple. For IVPs (initial value problems).

A Python library for solving Initial Value Problems using various numerical integration methods.

A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiological models, IVPs, BVPs, and more.

Solving various PDEs by employing Siren, with JAX implementation.

Numerically computing the dynamics of mechanical systems.

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

Sample app for visualizing profiles caused by different differential equations

Euler's Method in Python to approximate solution of IVPs (differential equations)

Differential equations' solutions in C developed during the Computational Mathematics course @cse.uoi.gr

Test Set for Initial Value Problems

Here, we will provide a PyTorch regime to handle the partial differential equation solution of the heat equation by executing Deep Kolmogorov Method of Beck et. al.

Bimetric 3+1 evolution

The method of stationary phase and the centred-difference approximation are used to generate the finite-difference scheme for solving Klein-Gordon equation in MATLAB.

The first task for the course "Numerical Methods for Initial Value Problem" in TAU 2019

Euler's and Runge-Kutta methods comparison on solving initial value problem on Lotka-Volterra equations and other functions

Algorithms and theory exercises for my Numerical Methods II classes. Most codes made in python.

A repo for keeping various numerical Solvers

Repositório com implementações de métodos numéricos em Python desenvolvido ao longo da disciplina DCC008X - Cálculo Numérico