Authors:
- Covering a wide range of modeling-driven domains: decisions, traffic, dynamical systems, physics
- Motivated by concrete relevant scenarios, but not application-bound
- Looking at modeling and simulation as a general methodology for science and engineering fed by mathematics and informatics
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Undergraduate Texts in Mathematics and Technology (SUMAT)
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Table of contents (16 chapters)
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Front Matter
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Gaming—Deciding—Planning: A Warm-up for Modeling
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Front Matter
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Traffic on Highways and Data Highways: Once Through the Simulation Pipeline
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Front Matter
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Dynamical Systems: Cause, Effect, and Interplay
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Front Matter
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Physics in the Computer: Take-Off Toward Number Crunching
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Front Matter
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About this book
This book provides an introduction to mathematical and computer-oriented modeling and to simulation as a universal methodology. It therefore addresses various model classes and their derivations. And it demonstrates the diversity of approaches that can be taken: be it discrete or continuous, deterministic or stochastic. A common underlying theme throughout the book are the means in which one obtains practical simulation results from these different abstract models.
Subsequent to a brief review of the mathematical tools that are required, the concept of the simulation pipeline, "from model derivation to the simulation", is applied to 14 example scenarios from diverse fields such as "Game theory - deciding - planning", "Traffic on highways and data highways", "Dynamical systems" and "Physics in the computer".
Whether it is game theory or mathematical finance, traffic or control theory, population dynamics or chaos, or molecular dynamics, continuum mechanics or computer graphics - the reader gains insight into the world of simulation in a descriptive yet systematic way.
Reviews
From the reviews:
“This is an introductory textbook to modeling and simulation that are considered as systematic approach to gain knowledge and results. … The book is very suitable for the first touch with the topics. It contains very intuitive examples for learning. … it has to be an excellent advertising of computer modeling and simulation.” (Eduard Kostolansky, zbMATH, Vol. 1281, 2014)
Authors and Affiliations
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Department of Informatics, Technische Universität München, Munich, Germany
Hans-Joachim Bungartz
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University of Stuttgart IPVS, Stuttgart, Germany
Stefan Zimmer, Dirk Pflüger
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Realtime Technology AG, Munich, Germany
Martin Buchholz
About the authors
Hans-Joachim Bungartz: Professor of informatics and mathematics at TUM, chair of scientific computing; long-term experience in teaching for programs in informatics, mathematics, physics, and engineering; responsible of CSE graduate programs at TUM and Bavaria-wide.
Dirk Pflüger and Stefan Zimmer: are both members of the Chair of Simulation of Large Systems, Institute for Parallel and Distributed Systems, at the University of Stuttgart; their teaching includes respective courses in the informatics and software engineering programs and within the cluster of excellence Simulation Technology.
Martin Buchholz: works at Realtime Technology AG (RTT AG) on distributed software systems for realtime visualization.
Bibliographic Information
Book Title: Modeling and Simulation
Book Subtitle: An Application-Oriented Introduction
Authors: Hans-Joachim Bungartz, Stefan Zimmer, Martin Buchholz, Dirk Pflüger
Series Title: Springer Undergraduate Texts in Mathematics and Technology
DOI: https://doi.org/10.1007/978-3-642-39524-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-642-39523-9Published: 06 November 2013
Softcover ISBN: 978-3-662-51842-7Published: 23 August 2016
eBook ISBN: 978-3-642-39524-6Published: 24 October 2013
Series ISSN: 1867-5506
Series E-ISSN: 1867-5514
Edition Number: 1
Number of Pages: XIV, 413
Number of Illustrations: 158 b/w illustrations
Topics: Computational Science and Engineering, Computational Mathematics and Numerical Analysis, Mathematical Modeling and Industrial Mathematics, Simulation and Modeling