Convergence acceleration for the BLUES function method

07/18/2022
by   Jonas Berx, et al.
0

A detailed comparison is made between four different iterative procedures: Picard, Ishikawa, Mann and Picard-Krasnoselskii, within the framework of the BLUES function method and the variational iteration method. The resulting modified methods are subsequently applied to a nonlinear reaction-diffusion-advection differential equation to generate approximations to the known exact solution. The differences between the BLUES function method and the variational iteration method are illustrated by studying the approximants and the error between the obtained approximants and the exact solution.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/11/2022

Backward error analysis for conjugate symplectic methods

The numerical solution of an ordinary differential equation can be inter...
research
01/25/2021

A modified Kačanov iteration scheme with application to quasilinear diffusion models

The classical Kačanov scheme for the solution of nonlinear variational p...
research
05/18/2022

The BLUES function method for second-order partial differential equations: application to a nonlinear telegrapher equation

An analytic iteration sequence based on the extension of the BLUES (Beyo...
research
12/22/2020

A numerical study of an Heaviside function driven degenerate diffusion equation

We analyze a nonlinear degenerate parabolic problem whose diffusion coef...
research
05/27/2023

Probing reaction channels via reinforcement learning

We propose a reinforcement learning based method to identify important c...
research
05/19/2021

Convergence analysis of the variational operator splitting scheme for a reaction-diffusion system with detailed balance

We present a detailed convergence analysis for an operator splitting sch...
research
01/24/2020

Diffusion synthetic acceleration for heterogeneous domains, compatible with voids

A standard approach to solving the S_N transport equations is to use sou...

Please sign up or login with your details

Forgot password? Click here to reset