Regularization-robust preconditioners for time-dependent PDE constrained optimization problems

In this article, we motivate, derive and test effective preconditioners to be used with the Minres algorithm for solving a number of saddle point systems, which arise in PDE constrained optimization problems. We consider the distributed control problem involving the heat equation with two different...

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Main Authors: Pearson, J, Stoll, M, Wathen, A
格式: Report
出版: SIAM 2011
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author Pearson, J
Stoll, M
Wathen, A
author_facet Pearson, J
Stoll, M
Wathen, A
author_sort Pearson, J
collection OXFORD
description In this article, we motivate, derive and test effective preconditioners to be used with the Minres algorithm for solving a number of saddle point systems, which arise in PDE constrained optimization problems. We consider the distributed control problem involving the heat equation with two different functionals, and the Neumann boundary control problem involving Poisson's equation and the heat equation. Crucial to the effectiveness of our preconditioners in each case is an effective approximation of the Schur complement of the matrix system. In each case, we state the problem being solved, propose the preconditioning approach, prove relevant eigenvalue bounds, and provide numerical results which demonstrate that our solvers are effective for a wide range of regularization parameter values, as well as mesh sizes and time-steps.
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spelling oxford-uuid:daca0a93-9de9-4ed3-b9cd-9f709c847fa12022-03-27T09:05:44ZRegularization-robust preconditioners for time-dependent PDE constrained optimization problemsReporthttp://purl.org/coar/resource_type/c_93fcuuid:daca0a93-9de9-4ed3-b9cd-9f709c847fa1Mathematical Institute - ePrintsSIAM2011Pearson, JStoll, MWathen, AIn this article, we motivate, derive and test effective preconditioners to be used with the Minres algorithm for solving a number of saddle point systems, which arise in PDE constrained optimization problems. We consider the distributed control problem involving the heat equation with two different functionals, and the Neumann boundary control problem involving Poisson's equation and the heat equation. Crucial to the effectiveness of our preconditioners in each case is an effective approximation of the Schur complement of the matrix system. In each case, we state the problem being solved, propose the preconditioning approach, prove relevant eigenvalue bounds, and provide numerical results which demonstrate that our solvers are effective for a wide range of regularization parameter values, as well as mesh sizes and time-steps.
spellingShingle Pearson, J
Stoll, M
Wathen, A
Regularization-robust preconditioners for time-dependent PDE constrained optimization problems
title Regularization-robust preconditioners for time-dependent PDE constrained optimization problems
title_full Regularization-robust preconditioners for time-dependent PDE constrained optimization problems
title_fullStr Regularization-robust preconditioners for time-dependent PDE constrained optimization problems
title_full_unstemmed Regularization-robust preconditioners for time-dependent PDE constrained optimization problems
title_short Regularization-robust preconditioners for time-dependent PDE constrained optimization problems
title_sort regularization robust preconditioners for time dependent pde constrained optimization problems
work_keys_str_mv AT pearsonj regularizationrobustpreconditionersfortimedependentpdeconstrainedoptimizationproblems
AT stollm regularizationrobustpreconditionersfortimedependentpdeconstrainedoptimizationproblems
AT wathena regularizationrobustpreconditionersfortimedependentpdeconstrainedoptimizationproblems