PDE constrained shape optimisation with first-order and Newton-type methods in the $W^{1,\infty }$ topology

Abstract

We present a general shape optimisation framework based on the method of mappings in the $W^{1,\infty }$ topology. We propose steepest descent and Newton-like minimisation algorithms for the numerical solution of the respective shape optimisation problems. Our work is built upon previous work of the authors in (Deckelnick, Herbert, and Hinze, ESAIM: COCV 28 (2022)), where a $W^{1,\infty }$ framework for star-shaped domains is proposed. To illustrate our approach we present a selection of PDE constrained shape optimisation problems and compare our findings to results from so far classical Hilbert space methods and recent $p$-approximations.

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Cited by in corpus (1)

• Shape optimization in $W^{1,\infty }$ with geometric constraints: a study in distributed-memory systems