Crank-Nicolson method for the heat equation in 2D
2D heat equation solver
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
Heat Equation: Crank-Nicolson / Explicit Methods, designed to estimate the solution to the heat equation. Python, using 3D plotting result in matplotlib.
Numerical solution of the heat equation in one and two dimensions.
Un programme codé en Python pour résoudre l'équation de la chaleur à deux dimensions.
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
2D Finite-Volume-Method for Heat-Transport-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.
Implementation of numerical solutions to PDES: Closest Point Method and Finite Difference Method
heat integration
The diffusion equation is a parabolic partial differential equation. The 1-D form of the diffusion equation is also known as the heat equation. This is a program to solve the diffusion equation nmerically.
This code supplements arXiv:2108.03055, where we describe an adaptive boundary element method for the heat 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…
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