Buch, Englisch, 537 Seiten, Previously published in hardcover, Format (B × H): 178 mm x 254 mm, Gewicht: 1040 g
Reihe: Springer Series in Operations Research and Financial Engineering
Modeling, Programming, and Analysis
Buch, Englisch, 537 Seiten, Previously published in hardcover, Format (B × H): 178 mm x 254 mm, Gewicht: 1040 g
Reihe: Springer Series in Operations Research and Financial Engineering
ISBN: 978-1-4419-2892-4
Verlag: Springer US
"This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research. There is substantial attention to programming, output analysis, pseudo-random number generation and modelling and these sections are quite thorough. Methods are provided for generating pseudo-random numbers (including combining such streams) and for generating random numbers from most standard statistical distributions." --ISI Short Book Reviews, 22:2, August 2002
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
Weitere Infos & Material
1 Simulation in Perspective.- 2 Modeling Concepts.- 3 Data Collection and Averages.- 4 Programming and Execution.- 5 Search, Space, and Time.- 6 Output Analysis.- 7 Making Sense of Output and Increasing Efficiency.- 8 Sampling from Probability Distributions.- 9 Pseudorandom Number Generation.- 10 Preparing the Input.- Appendix More on the Batch-Means Method.- A.1 FNB Rule (Section 6.6.4).- A.2 SQRT Rule (Section 6 6 5).- Author Index.
