Project on numerical computation for the dynamics of mechanical systems. Simulation of particle, rigid body and Multibody systems.
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Updated
Sep 19, 2024 - MATLAB
Project on numerical computation for the dynamics of mechanical systems. Simulation of particle, rigid body and Multibody systems.
∫ Straightforward numerical integration of systems of ordinary differential equations
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Sample app for visualizing profiles caused by different differential equations
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.
Formulas of this year's [2024] NPTEL Course titled Advanced Computational Techniques
A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiological models, IVPs, BVPs, and more.
Euler's and Runge-Kutta methods comparison on solving initial value problem on Lotka-Volterra equations and other functions
Solving various PDEs by employing Siren, with JAX implementation.
Repositório com implementações de métodos numéricos em Python desenvolvido ao longo da disciplina DCC008X - Cálculo Numérico
Algorithms and theory exercises for my Numerical Methods II classes. Most codes made in python.
ODE system solver made simple. For IVPs (initial value problems).
Runge Kutta method (RKM) for solving initial value problems (IVP's) of arbitraty order in MATLAB.
Solves initial value problem of SIQRD equations. Optimizes coefficients of this pandemic model, so that simualtions match observed. Implements three IVP schemes and two gradient optimization methods with line search using Wolfe conditions.
A Python library for solving Initial Value Problems using various numerical integration methods.
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.
Differential equations' solutions in C developed during the Computational Mathematics course @cse.uoi.gr
The first task for the course "Numerical Methods for Initial Value Problem" in TAU 2019
Bimetric 3+1 evolution
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