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@INPROCEEDINGS{Kleefeld:875440,
author = {Kleefeld, Andreas and Abele, Daniel},
title = {{N}ew {N}umerical {R}esults for the {O}ptimization of
{N}eumann {E}igenvalues},
address = {Basel},
publisher = {Birkhäuser},
reportid = {FZJ-2020-02035},
pages = {1-19},
year = {2020},
comment = {Computational and Analytic Methods in Science and
Engineering},
booktitle = {Computational and Analytic Methods in
Science and Engineering},
abstract = {We present new numerical results for shape optimization
problems ofinterior Neumann eigenvalues. This field is not
well understood from a theoreticalstandpoint. The existence
of shape maximizers is not proven beyond the firsttwo
eigenvalues, so we study the problem numerically. We
describe a method tocompute the eigenvalues for a given
shape that combines the boundary elementmethod with an
algorithm for nonlinear eigenvalues. As numerical
optimizationrequires many such evaluations, we put a focus
on the efficiency of the methodand the implemented routine.
The method is well suited for parallelization. Usingthe
resulting fast routines and a specialized parametrization of
the shapes, we foundimproved maxima for several
eigenvalues.},
month = {Jun},
date = {2019-06-30},
organization = {Computational and Mathematical Methods
in Science and Engineering, Cadiz
(Spain), 30 Jun 2019 - 6 Jul 2019},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511)},
pid = {G:(DE-HGF)POF3-511},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
url = {https://juser.fz-juelich.de/record/875440},
}