Overview
- Contains a modern treatment of simulation optimization
- Provides specific training in modelling, programming and analysis using Python
- Examines mathematical and statistical foundations of stochastic simulation
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 316)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors.
Authors and Affiliations
About the authors
Barry L. Nelson is the Walter P. Murphy Professor in the Department of Industrial Engineering and Management Sciences at Northwestern University, US. His research expertise is in the design and analysis of computer simulation experiments on models of stochastic systems, focusing particularly on statistical efficiency and simulation optimization. His application domains include computer-performance modelling, manufacturing systems, financial engineering and transportation. He is a Fellow of INFORMS and IISE.
Linda Pei is a senior Ph.D. student in the Department of Industrial Engineering and Management Sciences at Northwestern University, US. Her research interests are simulation optimization and data science. She designed and developed Python programs for large-scale parallel simulation optimization and was named the Outstanding Teaching Assistant in the department.
Bibliographic Information
Book Title: Foundations and Methods of Stochastic Simulation
Book Subtitle: A First Course
Authors: Barry L. Nelson, Linda Pei
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-3-030-86194-0
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-86193-3Published: 11 November 2021
Softcover ISBN: 978-3-030-86196-4Published: 12 November 2022
eBook ISBN: 978-3-030-86194-0Published: 10 November 2021
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 2
Number of Pages: XVI, 313
Number of Illustrations: 56 b/w illustrations, 9 illustrations in colour
Topics: Operations Research/Decision Theory, Operations Research, Management Science, Simulation and Modeling, Statistics for Business, Management, Economics, Finance, Insurance