Hauptseite > Publikationsdatenbank > Optimizing rational filters for interior eigenvalue solvers > print |
001 | 868382 | ||
005 | 20221109161717.0 | ||
024 | 7 | _ | |a 2128/23783 |2 Handle |
037 | _ | _ | |a FZJ-2019-06911 |
041 | _ | _ | |a English |
100 | 1 | _ | |a Di Napoli, Edoardo |0 P:(DE-Juel1)144723 |b 0 |e Corresponding author |u fzj |
111 | 2 | _ | |a SPPEXA Final Symposium 2019 |g SPPEXA |c Dresden |d 2019-10-21 - 2019-10-23 |w Germany |
245 | _ | _ | |a Optimizing rational filters for interior eigenvalue solvers |
260 | _ | _ | |c 2019 |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a Other |2 DataCite |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
336 | 7 | _ | |a conferenceObject |2 DRIVER |
336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1578313781_24844 |2 PUB:(DE-HGF) |x Invited |
520 | _ | _ | |a Rational filter functions can be used to improve the convergence of the so-called contour-based eigensolvers, a popular family of algorithms for the solution of the interior eigenvalue problem. This talk provide an overview on how such filters can be optimized for performance and convergence based on a non-convex weighted Least-Square scheme.The net result is an almost parameter-free minimization framework with an enhanced usability and productivity which leads to rational functions outperforming state-of-art filters. |
536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
536 | _ | _ | |a Simulation and Data Laboratory Quantum Materials (SDLQM) (SDLQM) |0 G:(DE-Juel1)SDLQM |c SDLQM |f Simulation and Data Laboratory Quantum Materials (SDLQM) |x 2 |
700 | 1 | _ | |a Winkelmann, Jan |0 P:(DE-Juel1)167415 |b 1 |u fzj |
700 | 1 | _ | |a Kollnig, Konrad |0 P:(DE-HGF)0 |b 2 |
856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/868382/files/ESSEX-workshop-Di_Napoli.pdf |
856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/868382/files/ESSEX-workshop-Di_Napoli.pdf?subformat=pdfa |
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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 2019 |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
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980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
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