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

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書誌事項

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

Academic Press, c2019

3rd ed. / Bernard P. Zeigler, Alexandre Muzy, Ernesto Kofman

  • : pbk

タイトル別名

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

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations, Third Edition, continues the legacy of this authoritative and complete theoretical work. It is ideal for graduate and PhD students and working engineers interested in posing and solving problems using the tools of logico-mathematical modeling and computer simulation. Continuing its emphasis on the integration of discrete event and continuous modeling approaches, the work focuses light on DEVS and its potential to support the co-existence and interoperation of multiple formalisms in model components. New sections in this updated edition include discussions on important new extensions to theory, including chapter-length coverage of iterative system specification and DEVS and their fundamental importance, closure under coupling for iteratively specified systems, existence, uniqueness, non-deterministic conditions, and temporal progressiveness (legitimacy).

目次

Part I Basics: Modeling Formalisms and Simulation Algorithms 1. 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 Specification 10. 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, Approximation 14. 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 Formalisms 20. DEVS Markov Modeling and Simulation 21. DEVS Markov Model Lumping 22. Spiking Neuron Modeling- Iterative Specification 23. Open Research Problems

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