Analysis of Adjoint Error Correction for Superconvergent Functional Estimates

Earlier work introduced the notion of adjoint error correction for obtaining superconvergent estimates of functional outputs from approximate PDE solutions. This idea is based on a posteriori error analysis suggesting that the leading order error term in the functional estimate can be removed by usi...

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প্রধান লেখক: Giles, M, Pierce, N
বিন্যাস: Report
প্রকাশিত: Unspecified 2001
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author Giles, M
Pierce, N
author_facet Giles, M
Pierce, N
author_sort Giles, M
collection OXFORD
description Earlier work introduced the notion of adjoint error correction for obtaining superconvergent estimates of functional outputs from approximate PDE solutions. This idea is based on a posteriori error analysis suggesting that the leading order error term in the functional estimate can be removed by using an adjoint PDE solution to reveal the sensitivity of the functional to the residual error in the original PDE solution. The present work provides a priori error analysis that correctly predicts the behaviour of the remaining leading order error term. Furthermore, the discussion is extended from the case of homogeneous boundary conditions and bulk functionals, to encompass the possibilities of inhomogeneous boundary conditions and boundary functionals. Numerical illustrations are provided for both linear and nonlinear problems. This research was supported by EPSRC under grant GR/K91149, and by NASA/Ames Cooperative Agreement No. NCC 2-5431.
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spelling oxford-uuid:42fa3324-3752-40ea-a823-d03f46f990ba2022-03-26T14:52:36ZAnalysis of Adjoint Error Correction for Superconvergent Functional EstimatesReporthttp://purl.org/coar/resource_type/c_93fcuuid:42fa3324-3752-40ea-a823-d03f46f990baMathematical Institute - ePrintsUnspecified2001Giles, MPierce, NEarlier work introduced the notion of adjoint error correction for obtaining superconvergent estimates of functional outputs from approximate PDE solutions. This idea is based on a posteriori error analysis suggesting that the leading order error term in the functional estimate can be removed by using an adjoint PDE solution to reveal the sensitivity of the functional to the residual error in the original PDE solution. The present work provides a priori error analysis that correctly predicts the behaviour of the remaining leading order error term. Furthermore, the discussion is extended from the case of homogeneous boundary conditions and bulk functionals, to encompass the possibilities of inhomogeneous boundary conditions and boundary functionals. Numerical illustrations are provided for both linear and nonlinear problems. This research was supported by EPSRC under grant GR/K91149, and by NASA/Ames Cooperative Agreement No. NCC 2-5431.
spellingShingle Giles, M
Pierce, N
Analysis of Adjoint Error Correction for Superconvergent Functional Estimates
title Analysis of Adjoint Error Correction for Superconvergent Functional Estimates
title_full Analysis of Adjoint Error Correction for Superconvergent Functional Estimates
title_fullStr Analysis of Adjoint Error Correction for Superconvergent Functional Estimates
title_full_unstemmed Analysis of Adjoint Error Correction for Superconvergent Functional Estimates
title_short Analysis of Adjoint Error Correction for Superconvergent Functional Estimates
title_sort analysis of adjoint error correction for superconvergent functional estimates
work_keys_str_mv AT gilesm analysisofadjointerrorcorrectionforsuperconvergentfunctionalestimates
AT piercen analysisofadjointerrorcorrectionforsuperconvergentfunctionalestimates