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

Python library for simulating heat transfer processes

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

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

A Finite Difference Method Engine in C++

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

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.

Image restoration by PDE and by Wavelet transform

Applying the finite-difference method to the Convection Diffusion equation in python3. Examples included: One dimensional Heat equation, Transport equation, Fokker-Plank equation and some two dimensional examples.

The implementation of a numerical method with an appropriate convergence check in C++

2D heat equation solver

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

Numerical Analysis Problems and Solutions

Numerical Method for Solving Basic PDE

Sub-package of spatstat containing code for linear networks

A High-Performance 2D Heat Equation Solver with Multiple Numerical Methods.

Solution of 1D and 2D PDEs using Physics Informed Neural Networks (PINNs)

Lab exercises of Parallel Processing Systems course in NTUA

Image inpainting algorithm based on two methods: Interpolation and Diffusion through the resolution of a linear PDE. This was my project for the Numerical Methods class held at the Univeristy of Bologna, Italy.