An inexact [ell] sub(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 [ell] sub(1) penalty function for an Armijo-like condition. Both the objective gradient comp...

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Vydané v:	Optimization methods & software Ročník 28; číslo 5; s. 943 - 968
Hlavní autori:	Hess, Wolfgang, Ulbrich, Stefan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	01.10.2013
Predmet:	Algorithms Iterative methods Mathematical analysis Mathematical models Optimization Partial differential equations Searching Shape optimization Solvers
ISSN:	1055-6788, 1029-4937
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