Optimal Control of a Sub-diffusion Model using Dirichlet-Neumann and Neumann-Neumann Waveform Relaxation Algorithms

Fuente: arXiv
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Auteurs principaux: Sana, Soura, Mandal, Bankim C.
Format: Preprint
Publié: 2024
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author Sana, Soura
Mandal, Bankim C.
author_facet Sana, Soura
Mandal, Bankim C.
contents This paper explores the convergence behavior of two waveform relaxation algorithms, namely the Dirichlet-Neumann and Neumann-Neumann Waveform Relaxation algorithms, for an optimal control problem with a sub-diffusion partial differential equation (PDE) constraint. The algorithms are tested on regular 1D domains with multiple subdomains, and the analysis focuses on how different constant values of the generalized diffusion coefficient affect the convergence of these algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2404_13283
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimal Control of a Sub-diffusion Model using Dirichlet-Neumann and Neumann-Neumann Waveform Relaxation Algorithms
Sana, Soura
Mandal, Bankim C.
Optimization and Control
Numerical Analysis
This paper explores the convergence behavior of two waveform relaxation algorithms, namely the Dirichlet-Neumann and Neumann-Neumann Waveform Relaxation algorithms, for an optimal control problem with a sub-diffusion partial differential equation (PDE) constraint. The algorithms are tested on regular 1D domains with multiple subdomains, and the analysis focuses on how different constant values of the generalized diffusion coefficient affect the convergence of these algorithms.
title Optimal Control of a Sub-diffusion Model using Dirichlet-Neumann and Neumann-Neumann Waveform Relaxation Algorithms
topic Optimization and Control
Numerical Analysis
url https://arxiv.org/abs/2404.13283