There are 3 repositories under heat-equation topic.
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.
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
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.
In numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm
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
Sub-package of spatstat containing code for linear networks
A Maxima package to compute Fourier series and solve partial differential equations.
Lab exercises of Parallel Processing Systems course in NTUA
Crank-Nicolson method for the heat equation in 2D
Various numerical methods are discussed to solve different problems numerically.
A python model of the 2D heat equation
Parallel C program in OpenMP and MPI (check branch MPIwOMP) - modelling of Heat Equation.
TIPE sur l'utilisation des matériaux à changement de phase (MCP) dans l'isolation thermique des bâtiments. Modèle mathématique et résolution numérique.
Applied mathematics | Linear Algebra: estimating a 1D heat equation diffusion process via Explicit, Implicit, and Crank-Nicolson methods. NumPy/SciPy
Julia file that solves a partial differential equation (PDE) using three parts: (1) setting up the PDE, (2) defining the numerical method for solving the PDE, and (3) running the simulation
Numerical Analysis 2019 (TSU) Final Project
FEM for parabolic and mixed problems
A collection of inverse problems (e.g., reconstruction of databases, algebraic reconstruction, topological derivatives, gravitational prospecting)
Image inpainting algorithm based on two methods: Interpolation and Diffusion through the resolution of a linear PDE. This was my project for the Numerical Methods class held at the Univeristy of Bologna, Italy.
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.
A low-dimensional heat equation solver written in Rcpp for two boundary conditions (Dirichlet, Neumann), this was developed as a method for teaching myself Rcpp.
:fire: Solving the heat equation on square plate with finite element method in Python.
Numerical analysis
1D Heat Conduction Equation with custom user input using analytical solutions
Un programme codé en Python pour résoudre l'équation de la chaleur à deux dimensions.