Computational Methods for Numerical Analysis
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Updated
Sep 9, 2023 - R
Computational Methods for Numerical Analysis
A Physics-Informed Neural Network to solve 2D steady-state heat equation.
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.
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
Image restoration by PDE and by Wavelet transform
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
Un programme codé en Python pour résoudre l'équation de la chaleur à deux dimensions.
Computing the Geodesic distance using the heat method
Lab exercises of Parallel Processing Systems course in NTUA
Partial Differential Equations (PDEs) and its application in Image Restoration
Numerical Analysis Problems and Solutions
TIPE sur l'utilisation des matériaux à changement de phase (MCP) dans l'isolation thermique des bâtiments. Modèle mathématique et résolution numérique.
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