PRECONDITIONING ITERATIVE METHODS FOR THE OPTIMAL CONTROL OF THE STOKES EQUATIONS

Solving problems regarding the optimal control of partial differential equations (PDEs)-also known as PDE-constrained optimization-is a frontier area of numerical analysis. Of particular interest is the problem of flow control, where one would like to effect some desired flow by exerting, for exampl...

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Main Authors: Rees, T, Wathen, A
Format: Journal article
Language:English
Published: 2011
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author Rees, T
Wathen, A
author_facet Rees, T
Wathen, A
author_sort Rees, T
collection OXFORD
description Solving problems regarding the optimal control of partial differential equations (PDEs)-also known as PDE-constrained optimization-is a frontier area of numerical analysis. Of particular interest is the problem of flow control, where one would like to effect some desired flow by exerting, for example, an external force. The bottleneck in many current algorithms is the solution of the optimality system-a system of equations in saddle point form that is usually very large and ill conditioned. In this paper we describe two preconditioners-a block diagonal preconditioner for the minimal residual method and a block lower-triangular preconditioner for a nonstandard conjugate gradient method-which can be effective when applied to such problems where the PDEs are the Stokes equations. We consider only distributed control here, although we believe other problems could be treated in the same way. We give numerical results, and we compare these with those obtained by solving the equivalent forward problem using similar techniques. © 2011 Society for Industrial and Applied Mathematics.
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spelling oxford-uuid:480bf22b-83d7-491b-96f8-d6d3b904df2d2022-03-26T15:23:21ZPRECONDITIONING ITERATIVE METHODS FOR THE OPTIMAL CONTROL OF THE STOKES EQUATIONSJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:480bf22b-83d7-491b-96f8-d6d3b904df2dEnglishSymplectic Elements at Oxford2011Rees, TWathen, ASolving problems regarding the optimal control of partial differential equations (PDEs)-also known as PDE-constrained optimization-is a frontier area of numerical analysis. Of particular interest is the problem of flow control, where one would like to effect some desired flow by exerting, for example, an external force. The bottleneck in many current algorithms is the solution of the optimality system-a system of equations in saddle point form that is usually very large and ill conditioned. In this paper we describe two preconditioners-a block diagonal preconditioner for the minimal residual method and a block lower-triangular preconditioner for a nonstandard conjugate gradient method-which can be effective when applied to such problems where the PDEs are the Stokes equations. We consider only distributed control here, although we believe other problems could be treated in the same way. We give numerical results, and we compare these with those obtained by solving the equivalent forward problem using similar techniques. © 2011 Society for Industrial and Applied Mathematics.
spellingShingle Rees, T
Wathen, A
PRECONDITIONING ITERATIVE METHODS FOR THE OPTIMAL CONTROL OF THE STOKES EQUATIONS
title PRECONDITIONING ITERATIVE METHODS FOR THE OPTIMAL CONTROL OF THE STOKES EQUATIONS
title_full PRECONDITIONING ITERATIVE METHODS FOR THE OPTIMAL CONTROL OF THE STOKES EQUATIONS
title_fullStr PRECONDITIONING ITERATIVE METHODS FOR THE OPTIMAL CONTROL OF THE STOKES EQUATIONS
title_full_unstemmed PRECONDITIONING ITERATIVE METHODS FOR THE OPTIMAL CONTROL OF THE STOKES EQUATIONS
title_short PRECONDITIONING ITERATIVE METHODS FOR THE OPTIMAL CONTROL OF THE STOKES EQUATIONS
title_sort preconditioning iterative methods for the optimal control of the stokes equations
work_keys_str_mv AT reest preconditioningiterativemethodsfortheoptimalcontrolofthestokesequations
AT wathena preconditioningiterativemethodsfortheoptimalcontrolofthestokesequations