Theory of modeling and simulation: discrete event and iterative system computational foundations

✍ Scribed by Kofman, Ernesto; Muzu, Alexandre; Zeigler, Bernard P et al.

Publisher: Elsevier, Academic Press
Year: 2019
Tongue: English
Leaves: 656
Edition: Third edition
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Content: Part I Basics: Modeling Formalisms and Simulation Algorithms1. Introduction to Systems Modeling Concepts 2. Framework for Modeling and Simulation 3. Modeling Formalisms and Their Simulators 4. Introduction to DEVS 5. Hierarchy of System Specifications 6. Basic Formalisms: DEVS, DESS, DTSS 7. Basic Formalisms: Coupled MultiComponent Systems 8. Simulators for Basic Formalisms 9. Multi-Formalism Modeling and Simulation Part II Iterative System Specification10. Introduction to Iterative System Specification 11. Basic Iterative System Specification 12. Iterative Specification Subformalisms 13. Finite and Timed Iterative Specifications Part III System Morphisms: Abstraction, Representation, Approximation14. Parallel and Distributed Discrete Event Simulation 15. Abstraction: Constructing Model Families 16. Verification, Validation, Approximate Morphisms 17. DEVS and DEVS-like Systems 18. Quantization-Based Simulation 19. DEVS Representation of Iteratively Specified Systems Part IV Enhanced DEVS Formalisms20. DEVS Markov Modeling and Simulation 21. DEVS Markov Model Lumping 22. Spiking Neuron Modeling- Iterative Specification 23. Open Research Problems

✦ Subjects

Computer simulation.;System theory.

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