A Physics-Informed Neural Network to solve 2D steady-state heat equations.

A Finite Difference Method Engine in C++

C++/CUDA implementation of the most popular hyperbolic and parabolic PDE solvers

Notes and examples on how to solve partial differential equations with numerical methods, using Python.

Finite-Difference Approximations to the Heat Equation. Implementation of schemes: Forward Time, Centered Space; Backward Time, Centered Space; Crank-Nicolson.

Computational Methods for Numerical Analysis

Image restoration by PDE and by Wavelet transform

Two solutions, written in MATLAB, for solving the viscous Burger's equation. They are both spectral methods: the first is a Fourier Galerkin method, and the second is Collocation on the Tchebyshev-Gauß-Lobatto points.

In numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm

Heat Equation using different solvers (Jacobi, Red-Black, Gaussian) in C using different paradigms (sequential, OpenMP, MPI, CUDA) - Assignments for the Concurrent, Parallel and Distributed Systems course @ UPC 2013

2D heat equation solver

Numerical Analysis Problems and Solutions

Sub-package of spatstat containing code for linear networks

Lab exercises of Parallel Processing Systems course in NTUA

A Maxima package to compute Fourier series and solve partial differential equations.

Crank-Nicolson method for the heat equation in 2D

Numerical Method for Solving Basic PDE

A python model of the 2D heat equation

Various numerical methods are discussed to solve different problems numerically.

Julia file that solves a partial differential equation (PDE) using three parts: (1) setting up the PDE, (2) defining the numerical method for solving the PDE, and (3) running the simulation