000824500 001__ 824500 000824500 005__ 20210129225044.0 000824500 037__ $$aFZJ-2016-07076 000824500 041__ $$aEnglish 000824500 1001_ $$0P:(DE-Juel1)169421$$aKleefeld, Andreas$$b0$$eCorresponding author$$ufzj 000824500 1112_ $$aThe third international conference on computational science and engineering$$cHo Chi Minh City$$d2016-11-28 - 2016-11-30$$gICCSE-3$$wVietnam 000824500 245__ $$aInterior transmission eigenvalues and non-destructive testing 000824500 260__ $$c2016 000824500 3367_ $$033$$2EndNote$$aConference Paper 000824500 3367_ $$2DataCite$$aOther 000824500 3367_ $$2BibTeX$$aINPROCEEDINGS 000824500 3367_ $$2DRIVER$$aconferenceObject 000824500 3367_ $$2ORCID$$aLECTURE_SPEECH 000824500 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1480931255_8032$$xInvited 000824500 520__ $$aThe aim in non-destructive testing is to visualize the interior of a given three-dimensional object in order to uncover location, size, and geometry of inhomogeneities. Interior transmission eigenvalues can be used for this purpose. However, the efficient numerical calculation of interior transmission eigenvalues is a challenging task due to the fact that the corresponding interior transmission problem is neither elliptic nor self-adjoint. It is explained what interior transmission eigenvalues are, how they can be computed to high accuracy with the help of boundary integral equations (see [1-3]), and how they might be used to visualize the interior of a given three-dimensional object. Additionally, some open problems both from the theoretical and practical point of view are illustrated. 000824500 536__ $$0G:(DE-HGF)POF3-511$$a511 - Computational Science and Mathematical Methods (POF3-511)$$cPOF3-511$$fPOF III$$x0 000824500 909CO $$ooai:juser.fz-juelich.de:824500$$pVDB 000824500 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)169421$$aForschungszentrum Jülich$$b0$$kFZJ 000824500 9131_ $$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$$x0 000824500 9141_ $$y2016 000824500 915__ $$0StatID:(DE-HGF)0550$$2StatID$$aNo Authors Fulltext 000824500 920__ $$lyes 000824500 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0 000824500 980__ $$aconf 000824500 980__ $$aVDB 000824500 980__ $$aUNRESTRICTED 000824500 980__ $$aI:(DE-Juel1)JSC-20090406