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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Vydané v:	Optimization methods & software Ročník 28; číslo 5; s. 943
Hlavní autori:	Hess, Wolfgang, Ulbrich, Stefan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis Ltd 01.10.2013
Predmet:	Elasticity Fines & penalties Optimization algorithms
ISSN:	1055-6788, 1029-4937
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