Volume 16, Issue 1 pp. 701-702
Section 16
Free Access

Frequency based preconditioning and smoothing for shape optimization

Jonas Kusch

Corresponding Author

Jonas Kusch

MATHCCES, RWTH Aachen, Schinkelstr. 2, 52062 Aachen

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Nicolas R. Gauger

Nicolas R. Gauger

Chair for Scientific Computing, TU Kaiserslautern, Paul-Ehrlich-Str. 34, 67663 Kaiserslautern

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Siegfried Müller

Siegfried Müller

IGPM, RWTH Aachen, Templergraben 55, 52056 Aachen

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Stephan Schmidt

Stephan Schmidt

Universität Würzburg, Emil-Fischer-Str. 30, 97074 Würzburg

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First published: 25 October 2016
Citations: 1

Abstract

In this paper, we present a smoothing technique which can be understood as a Quasi-Newton method. The idea of this preconditioner is that it approximates the symbol of the inverse Hessian, which has smoothing behavior. This symbol is derived analytically for the Stokes equations and investigated numerically for a flow with a Reynolds number of 80. The resulting symbol is then approximated by differential operators, which will lead to a method similar to Sobolev Smoothing. (© 2016 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim)

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