2D heat equation solver
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Updated
Sep 28, 2021 - Python
2D heat equation solver
Crank-Nicolson method for the heat equation in 2D
A python model of the 2D heat equation
TIPE sur l'utilisation des matériaux à changement de phase (MCP) dans l'isolation thermique des bâtiments. Modèle mathématique et résolution numérique.
Numerical Analysis 2019 (TSU) Final Project
Applied mathematics | Linear Algebra: estimating a 1D heat equation diffusion process via Explicit, Implicit, and Crank-Nicolson methods. NumPy/SciPy
Numerical solution of the heat equation in one and two dimensions.
Heat Equation: Crank-Nicolson / Explicit Methods, designed to estimate the solution to the heat equation. Python, using 3D plotting result in matplotlib.
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.
A Numerical solution to the 1D and 2D heat equation, with Neumann boundary conditions.
Un programme codé en Python pour résoudre l'équation de la chaleur à deux dimensions.
Partial Differential Equations (PDEs) and its application in Image Restoration
This code supplements arXiv:2108.03055, where we describe an adaptive boundary element method for the heat equation.
Exercises done during "Short course on high performance simulation with high level languages" imparted by André Brodtkorb
This is simulations of Heat equation with python.
2D Finite-Volume-Method for Heat-Transport-Equation
This code solves for the steady-state heat transport in a 2D model of a microprocessor, ceramic casing and an aluminium heatsink. It uses either Jacobi or Gauss-Seidel relaxation method on a finite difference grid. It can be run with the microprocessor only, microprocessor and casing, or microprocessor with casing and heatsink. Options for eithe…
Implementation of numerical solutions to PDES: Closest Point Method and Finite Difference Method
heat integration
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