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Multiscale MethodsBridging the Scales in Science and Engineering$
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Jacob Fish

Print publication date: 2009

Print ISBN-13: 9780199233854

Published to Oxford Scholarship Online: February 2010

DOI: 10.1093/acprof:oso/9780199233854.001.0001

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Error Estimates for Multiscale Operator Decomposition for Multiphysics Models

Error Estimates for Multiscale Operator Decomposition for Multiphysics Models

Chapter:
(p.305) 11 Error Estimates for Multiscale Operator Decomposition for Multiphysics Models
Source:
Multiscale Methods
Author(s):

D. Estep

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199233854.003.0011

Multiphysics, multiscale models present significant challenges in terms of computing accurate solutions and for estimating the error in information computed from numerical solutions. In this chapter, we discuss error estimation for a widely used numerical approach for multiphysics, multiscale problems called multiscale operator decomposition. In this approach, a multiphysics model is decomposed into components involving simpler physics over a relatively limited range of scales, and the solution is sought through an iterative procedure involving numerical solutions of the individual components. After describing the ingredients of adjoint-based a posteriori analysis, we describe the extension to multiscale operator decomposition solution methods. While the particulars of the analysis vary considerably with the problem, there are several key ideas underlying a general approach to treat operator decomposition multiscale methods.

Keywords:   adjoint, multiphysics, multiscale operator decomposition, multi-discretization, operator splitting, stability

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