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| Hauptseite > Publikationsdatenbank > Improvement of the Inside-Outside Duality Method > print |
| 001 | 837691 | ||
| 005 | 20210129231425.0 | ||
| 020 | _ | _ | |a 978-3-319-59383-8 |
| 024 | 7 | _ | |a 10.1007/978-3-319-59384-5_13 |2 doi |
| 037 | _ | _ | |a FZJ-2017-06552 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Kleefeld, A. |0 P:(DE-Juel1)169421 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a Improvement of the Inside-Outside Duality Method |
| 260 | _ | _ | |a Cham |c 2017 |b Springer International Publishing |
| 295 | 1 | 0 | |a Integral Methods in Science and Engineering |
| 300 | _ | _ | |a 149-159 |
| 336 | 7 | _ | |a BOOK_CHAPTER |2 ORCID |
| 336 | 7 | _ | |a Book Section |0 7 |2 EndNote |
| 336 | 7 | _ | |a bookPart |2 DRIVER |
| 336 | 7 | _ | |a INBOOK |2 BibTeX |
| 336 | 7 | _ | |a Output Types/Book chapter |2 DataCite |
| 336 | 7 | _ | |a Contribution to a book |b contb |m contb |0 PUB:(DE-HGF)7 |s 1505460898_21925 |2 PUB:(DE-HGF) |
| 490 | 0 | _ | |v 1 |
| 520 | _ | _ | |a In this paper, an improvement of the inside-outside duality method is considered. The state-of-the-art approximation of the far-field operator via constant interpolation is not sufficient to obtain highly accurate interior transmission eigenvalues especially for larger wave numbers. Therefore, several different approximations of the far-field operator such as Gaussian quadrature, spherical t-design, and Lebedev quadrature are used which are shown to yield superior accuracy for the numerical calculation of interior transmission eigenvalues. |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef Book |
| 700 | 1 | _ | |a Reichwein, Elisabeth |0 P:(DE-Juel1)169938 |b 1 |
| 773 | _ | _ | |a 10.1007/978-3-319-59384-5_13 |
| 909 | C | O | |o oai:juser.fz-juelich.de:837691 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)169421 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 914 | 1 | _ | |y 2017 |
| 920 | _ | _ | |l no |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a contb |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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