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Adjoint error estimation and adaptivity for hyperbolic problems

Houston, Paul

Authors

PAUL HOUSTON PAUL.HOUSTON@NOTTINGHAM.AC.UK
Professor of Computational and Applied Maths



Contributors

Remi Abgrall
Editor

Chi-Wang Shu
Editor

Abstract

In this article we present an overview of a posteriori error estimation and adaptive mesh design for hyperbolic/nearly-hyperbolic problems. In particular, we discuss the question of error estimation for general target functionals of the solution; typical examples include the outflow flux, local average and pointwise value, as well as the lift and drag coefficients of a body immersed in an inviscid fluid. By employing a duality argument weighted Type I and unweighted Type II bounds may be established. Here, the relative advantages of these two approaches are discussed in detail, together with the construction of appropriate dual problems that ensure optimality of the resulting bounds. The exploitation of general adaptive refinement strategies based on employing isotropic and anisotropic h- and hp-refinement will be discussed. Applications of this general theory to eigenvalue problems and bifurcation problems will also be presented.

Citation

Houston, P. (2017). Adjoint error estimation and adaptivity for hyperbolic problems. In R. Abgrall, & C. Shu (Eds.), Handbook of Numerical Methods for Hyperbolic Problems. Applied and Modern Issues. Elsevier / North Holland

Publication Date Jan 30, 2017
Deposit Date Jun 14, 2016
Peer Reviewed Peer Reviewed
Issue 18
Series Title Handbook of numerical analysis
Book Title Handbook of Numerical Methods for Hyperbolic Problems. Applied and Modern Issues
ISBN 9780444639103
Keywords Hyperbolic conservation laws, adjoint methods, adaptivity
Public URL https://nottingham-repository.worktribe.com/output/838643
Related Public URLs https://www.elsevier.com/books/handbook-on-numerical-methods-for-hyperbolic-problems/unknown/978-0-444-63910-3
Contract Date Jan 20, 2017