An inexact [script small l]1 penalty SQP algorithm for PDE-constrained optimization with an application to shape optimization in linear elasticity

We develop an optimization algorithm which is able to deal with inexact evaluations of the objective function. The proposed algorithm employs sequential quadratic programming with a line search that uses the [script small l]1 penalty function for an Armijo-like condition. Both the objective gradient...

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Bibliographic Details

Published in:	Optimization methods & software Vol. 28; no. 5; p. 943
Main Authors:	Hess, Wolfgang, Ulbrich, Stefan
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis Ltd 01.10.2013
Subjects:	Elasticity Fines & penalties Optimization algorithms
ISSN:	1055-6788, 1029-4937
Online Access:	Get full text
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