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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++
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
Solution of 1D and 2D PDEs using Physics Informed Neural Networks (PINNs)
Numerical Method for Solving Basic PDE
Sub-package of spatstat containing code for linear networks
A Maxima package to compute Fourier series and solve partial differential equations.
A High-Performance 2D Heat Equation Solver with Multiple Numerical Methods.
Lab exercises of Parallel Processing Systems course in NTUA
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