Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations,Used

Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations,Used

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The increased computational power and software tools available to engineers have increased the use and dependence on modeling and computer simulation throughout the design process. These tools have given engineers the capability of designing highly complex systems and computer architectures that were previously unthinkable. Every complex design project, from integrated circuits, to aerospace vehicles, to industrial manufacturing processes requires these new methods. This book fulfills the essential need of system and control engineers at all levels in understanding modeling and simulation. This book, written as a true text/reference has become a standard sr./graduate level course in all EE departments worldwide and all professionals in this area are required to update their skills.The book provides a rigorous mathematical foundation for modeling and computer simulation. It provides a comprehensive framework for modeling and simulation integrating the various simulation approaches. It covers model formulation, simulation model execution, and the model building process with its key activities model abstraction and model simplification, as well as the organization of model libraries. Emphasis of the book is in particular in integrating discrete event and continuous modeling approaches as well as a new approach for discrete event simulation of continuous processes. The book also discusses simulation execution on parallel and distributed machines and concepts for simulation model realization based on the High Level Architecture (HLA) standard of the Department of Defense. Presents a working foundation necessary for compliance with High Level Architecture (HLA) standards Provides a comprehensive framework for continuous and discrete event modeling and simulation Explores the mathematical foundation of simulation modeling Discusses system morphisms for model abstraction and simplification Presents a new approach to discrete event simulation of continuous processes Includes parallel and distributed simulation of discrete event models Presents a concept to achieve simulator interoperability in the form of the DEVSBus

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To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

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Frequently Asked Questions

  • Q: What is the main focus of 'Theory of Modeling and Simulation'? A: The book focuses on providing a mathematical foundation for modeling and simulation, integrating discrete event and continuous modeling approaches, and offering a comprehensive framework for simulation methods.
  • Q: Who is the author of the book? A: The author of 'Theory of Modeling and Simulation' is Bernard P. Zeigler.
  • Q: What are the key topics covered in this book? A: Key topics include model formulation, simulation model execution, model building processes, parallel and distributed simulation, and compliance with High Level Architecture (HLA) standards.
  • Q: Is this book suitable for beginners in modeling and simulation? A: While the book serves as both a text and a reference, it is primarily aimed at system and control engineers at all levels, making it more suitable for those with some prior knowledge of the field.
  • Q: How many pages does 'Theory of Modeling and Simulation' have? A: The book contains 536 pages.
  • Q: What edition of the book is available? A: The available edition of the book is the second edition.
  • Q: When was 'Theory of Modeling and Simulation' published? A: The book was published on January 24, 2000.
  • Q: What is the binding type of this book? A: The book is available in hardcover binding.
  • Q: What does the book say about discrete event simulation of continuous processes? A: The book presents a new approach to discrete event simulation of continuous processes, emphasizing its integration with other modeling techniques.
  • Q: Can this book help with parallel and distributed simulation? A: Yes, it covers simulation execution on parallel and distributed machines, providing insights into those methodologies.