Explicit-in-time goal-oriented adaptivity

Goal-oriented adaptivity is a powerful tool to accurately approximate physically relevant solution features for partial differential equations. In time dependent problems, we seek to represent the error in the quantity of interest as an integral over the whole space–time domain. A full space–time va...

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Main Authors: Muñoz-Matute, J., Calo, Victor, Pardo, D., Alberdi, E., van der Zee, K.
Format: Journal Article
Published: Elsevier BV 2019
Online Access:http://hdl.handle.net/20.500.11937/74550
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author Muñoz-Matute, J.
Calo, Victor
Pardo, D.
Alberdi, E.
van der Zee, K.
author_facet Muñoz-Matute, J.
Calo, Victor
Pardo, D.
Alberdi, E.
van der Zee, K.
author_sort Muñoz-Matute, J.
building Curtin Institutional Repository
collection Online Access
description Goal-oriented adaptivity is a powerful tool to accurately approximate physically relevant solution features for partial differential equations. In time dependent problems, we seek to represent the error in the quantity of interest as an integral over the whole space–time domain. A full space–time variational formulation allows such representation. Most authors employ implicit time marching schemes to perform goal-oriented adaptivity as it is known that they can be reinterpreted as Galerkin methods. In this work, we consider variational forms for explicit methods in time. We derive an appropriate error representation and propose a goal-oriented adaptive algorithm in space. For that, we derive the forward Euler method in time employing a discontinuous-in-time Petrov–Galerkin formulation. In terms of time domain adaptivity, we impose the Courant–Friedrichs–Lewy condition to ensure the stability of the method. We provide some numerical results in 1D space + time for the diffusion and advection–diffusion equations to show the performance of the proposed explicit-in-time goal-oriented adaptive algorithm.
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institution Curtin University Malaysia
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publishDate 2019
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spelling curtin-20.500.11937-745502021-01-06T03:42:51Z Explicit-in-time goal-oriented adaptivity Muñoz-Matute, J. Calo, Victor Pardo, D. Alberdi, E. van der Zee, K. Goal-oriented adaptivity is a powerful tool to accurately approximate physically relevant solution features for partial differential equations. In time dependent problems, we seek to represent the error in the quantity of interest as an integral over the whole space–time domain. A full space–time variational formulation allows such representation. Most authors employ implicit time marching schemes to perform goal-oriented adaptivity as it is known that they can be reinterpreted as Galerkin methods. In this work, we consider variational forms for explicit methods in time. We derive an appropriate error representation and propose a goal-oriented adaptive algorithm in space. For that, we derive the forward Euler method in time employing a discontinuous-in-time Petrov–Galerkin formulation. In terms of time domain adaptivity, we impose the Courant–Friedrichs–Lewy condition to ensure the stability of the method. We provide some numerical results in 1D space + time for the diffusion and advection–diffusion equations to show the performance of the proposed explicit-in-time goal-oriented adaptive algorithm. 2019 Journal Article http://hdl.handle.net/20.500.11937/74550 10.1016/j.cma.2018.12.028 http://creativecommons.org/licenses/by-nc-nd/4.0/ Elsevier BV fulltext
spellingShingle Muñoz-Matute, J.
Calo, Victor
Pardo, D.
Alberdi, E.
van der Zee, K.
Explicit-in-time goal-oriented adaptivity
title Explicit-in-time goal-oriented adaptivity
title_full Explicit-in-time goal-oriented adaptivity
title_fullStr Explicit-in-time goal-oriented adaptivity
title_full_unstemmed Explicit-in-time goal-oriented adaptivity
title_short Explicit-in-time goal-oriented adaptivity
title_sort explicit-in-time goal-oriented adaptivity
url http://hdl.handle.net/20.500.11937/74550