Modeling and Simulation

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.

• 1 Introduction.- 2 The necessary instruments in brief.- Part I Playing – deciding – planning: A modeling warm-up.- 3 Game theory.- 4 Group decisions.- 5 Schedules.- 6 Wiener processes.- Part II Traffic on highways and data highways: A trip through the simulation pipeline.- 7 Macroscopic simulation of traffic.- 8 Microscopic simulation of traffic.- 9 Stochastic traffic simulations.- Part III Dynamic systems: Cause, effect and interaction.- 10 Population dynamics.- 11 Controllers.- 12 Chaos theory.- Part IV Physics on the computer: The switch to number crunchers.- 13 Molecular dynamics.- 14 Thermal conduction.- 15 Fluid mechanics.- 16 Global illumination in computer graphics.- Closing remarks.- Bibliography.- Index.

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)