<p><p>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, d
Modeling and Simulation An Application-Oriented Introduction
β Scribed by Buchholz, Martin;Bungartz, Hans-Joachim;Le Borne, Richard;Le Borne, Sabine;PflΓΌger, Dirk;Zimmer, Stefan
- Publisher
- Springer
- Year
- 2016
- Tongue
- English
- Leaves
- 415
- Series
- Springer Undergraduate Texts in Mathematics and Technology
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
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.
β¦ Subjects
(BIC Subject Heading)PDE;(BISAC Subject Heading)COM014000;case studies for modeling and simulation;discrete simulation;mathematical modelling;numerical simulation;(Produktform)Paperback / softback;(Springer Marketing Classification)B;(Springer Subject Code)SCI21025: Simulation and Modeling;(Springer Subject Code)SCM1400X: Computational Mathematics and Numerical Analysis;(Springer Subject Code)SCM14026: Computational Science and Engineering;(Springer Subject Code)SCM14068: Mathematical Modeling a
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This text teaches, by example, how to create models, simulate performance simulations and analyse results. It takes a quantitative approach and covers a range of event driven and time driven models. In addition it is software independent - to make implementations as generic as possible, which allows
Π£ΡΠ΅Π±Π½ΠΎΠ΅ ΠΏΠΎΡΠΎΠ±ΠΈΠ΅, <br/>TUTORIAL.<br/>Version 2006, 139p.<br/>Abstract.<br/>Object-Oriented modeling is a fast-growing area of modeling and simulation that provides a structured, computer-supported way of doing mathematical and equation-based modeling. Modelica is today the most promising modeling and