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

Numerically computing the dynamics of mechanical systems.

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

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

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

Bimetric 3+1 evolution

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

Solving various PDEs by employing Siren, with JAX implementation.

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.

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

Formulas of this year's [2024] NPTEL Course titled Advanced Computational Techniques

Sample app for visualizing profiles caused by different differential equations

A repo for keeping various numerical Solvers

Bimetric 3+1 evolution

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

Academic work on Finite Element Method