Trajectory Splitting by Restricted Replication
- New algorithms for efficient trajectory splitting are presented. By derandomizing these techniques that are derived from randomized quasi-Monte Carlo integration, trajectory splitting for the quasi-Monte Carlo method becomes available.
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| Author: | Alexander Keller |
|---|---|
| URN: | urn:nbn:de:hbz:386-kluedo-49737 |
| Serie (Series number): | Interner Bericht des Fachbereich Informatik (316) |
| Document Type: | Report |
| Language of publication: | English |
| Publication Date: | 2017/10/27 |
| Year of Publication: | 2001 |
| Publishing Institute: | Technische Universität Kaiserslautern |
| Date of the Publication (Server): | 2017/10/27 |
| Number of page: | 10 |
| Faculties / Organisational entities: | Kaiserslautern - Fachbereich Informatik |
| DDC-Cassification: | 0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik |
| Licence (German): |  Creative Commons 4.0 - Namensnennung, nicht kommerziell, keine Bearbeitung (CC BY-NC-ND 4.0) |