A Physics-Informed Neural Network to solve 2D steady-state heat equations.
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Updated
Sep 18, 2024 - Jupyter Notebook
A Physics-Informed Neural Network to solve 2D steady-state heat equations.
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.
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.
Image restoration by PDE and by Wavelet transform
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
A Maxima package to compute Fourier series and solve partial differential equations.
Charla en la PyConEs-2016 (http://2016.es.pycon.org/es/).
Heat Equation: Crank-Nicolson / Explicit Methods, designed to estimate the solution to the heat equation. Python, using 3D plotting result in matplotlib.
Solving some examples of partial differential equations (PDE) using fenics.
Sub-package of spatstat containing code for linear networks
Lab exercises of Parallel Processing Systems course in NTUA
Un programme codé en Python pour résoudre l'équation de la chaleur à deux dimensions.
Computing the Geodesic distance using the heat method
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.
Partial Differential Equations (PDEs) and its application in Image Restoration
Numerical Analysis Problems and Solutions
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