New stable method to solve heat conduction problems in extremely large systems

08/24/2019
by   Endre Kovács, et al.
0

We present a new explicit and stable numerical algorithm to solve the homogeneous heat equation. We illustrate the performance of the new method in the cases of two 2D systems with highly inhomogeneous random parameters. Spatial discretization of these problems results in huge and stiff ordinary differential equation systems, which can be solved by our novel method faster than by explicit or the commonly used implicit methods.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/26/2021

A class of new stable, explicit methods to solve the non-stationary heat equation

We present a class of new explicit and stable numerical algorithms to so...
research
07/25/2021

Mathematical Modeling of Heat Conduction

This report describes a mathematical model of heat conduction. The diffe...
research
09/28/2021

An extended Krylov subspace method for decoding edge-based compressed images by homogeneous diffusion

The heat equation is often used in order to inpaint dropped data in inpa...
research
06/10/2022

A Fast Spectral Solver for the Heat Equation, with Applications to Navier-Stokes

We develop a spectral method to solve the heat equation in a closed cyli...
research
05/08/2023

A 2-Level Domain Decomposition Preconditioner for KKT Systems with Heat-Equation Constraints

Solving optimization problems with transient PDE-constraints is computat...
research
08/07/2023

Complex-plane singularity dynamics for blow up in a nonlinear heat equation: analysis and computation

Blow-up solutions to a heat equation with spatial periodicity and a quad...
research
06/01/2023

A fast and accurate computation method for reflective diffraction simulations

We present a new computation method for simulating reflection high-energ...

Please sign up or login with your details

Forgot password? Click here to reset