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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Metadaten
Author:Alexander Keller
URN:urn:nbn:de:hbz:386-kluedo-49737
Series (Serial Number):Interner Bericht des Fachbereich Informatik (316)
Document Type:Report
Language of publication:English
Date of Publication (online):2017/10/27
Year of first Publication:2001
Publishing Institution:Technische Universität Kaiserslautern
Date of the Publication (Server):2017/10/27
Page Number: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)