000875441 001__ 875441
000875441 005__ 20210130004932.0
000875441 0247_ $$2Handle$$a2128/24942
000875441 037__ $$aFZJ-2020-02036
000875441 041__ $$aEnglish
000875441 1001_ $$0P:(DE-Juel1)169421$$aKleefeld, Andreas$$b0$$eCorresponding author
000875441 1112_ $$aComputational and Mathematical Methods in Science and Engineering$$cCadiz$$d2019-06-30 - 2019-07-06$$gCMMSE2019$$wSpain
000875441 245__ $$aNumerical Calculation of Interior Transmission Eigenvalues with Mixed Boundary Conditions
000875441 260__ $$aBasel$$bBirkhäuser$$c2020
000875441 29510 $$aComputational and Analytic Methods in Science and Engineering
000875441 300__ $$a173-193
000875441 3367_ $$2ORCID$$aCONFERENCE_PAPER
000875441 3367_ $$033$$2EndNote$$aConference Paper
000875441 3367_ $$2BibTeX$$aINPROCEEDINGS
000875441 3367_ $$2DRIVER$$aconferenceObject
000875441 3367_ $$2DataCite$$aOutput Types/Conference Paper
000875441 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1594306000_14806
000875441 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000875441 520__ $$aInterior transmission eigenvalue problems for the Helmholtz equationplay an important role in inverse wave scattering. Some distribution properties ofthose eigenvalues in the complex plane are reviewed. Further, a new scatteringmodel for the interior transmission eigenvalue problem with mixed boundary conditions is described and an efficient algorithm for computing the interior transmissioneigenvalues is proposed. Finally, extensive numerical results for a variety of two-dimensional scatterers are presented to show the validity of the proposed scheme.
000875441 536__ $$0G:(DE-HGF)POF3-511$$a511 - Computational Science and Mathematical Methods (POF3-511)$$cPOF3-511$$fPOF III$$x0
000875441 7001_ $$0P:(DE-HGF)0$$aLiu, Jijun$$b1
000875441 8564_ $$uhttps://juser.fz-juelich.de/record/875441/files/kleefeld.pdf$$yOpenAccess
000875441 8564_ $$uhttps://juser.fz-juelich.de/record/875441/files/kleefeld.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000875441 909CO $$ooai:juser.fz-juelich.de:875441$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000875441 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)169421$$aForschungszentrum Jülich$$b0$$kFZJ
000875441 9131_ $$0G:(DE-HGF)POF3-511$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data$$vComputational Science and Mathematical Methods$$x0
000875441 9141_ $$y2020
000875441 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000875441 920__ $$lno
000875441 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000875441 980__ $$acontrib
000875441 980__ $$aVDB
000875441 980__ $$acontb
000875441 980__ $$aI:(DE-Juel1)JSC-20090406
000875441 980__ $$aUNRESTRICTED
000875441 9801_ $$aFullTexts