|Series||Ellis Horwood books in computing science, Ellis Horwood series in artificial intelligence|
|LC Classifications||QA76.9.C65 E973 1988|
|The Physical Object|
|Pagination||279 p. :|
|Number of Pages||279|
|LC Control Number||88006826|
Book Description Discrete Event Simulation is a process-oriented text/reference that utilizes an eleven-step model to represent the simulation process . Discrete-Event Simulation Introduction to Simulation WS01/02 - L 04 2/40 Graham Horton Contents The event list is the main data structure in a discrete-event simulator. Introduction to Simulation WS01/02 - L 04 22/40 Graham Horton The Event List • The (future) event list (FEL) controls the simulation File Size: KB. Solutions Manual Discrete-Event System Simulation Fourth Edition. Part 1 of the book (Chapters ) is devoted to basics of modeling and simulation. The DEVS formalism is introduced and its capability of incorporating various continuous- and discrete-time or event models is discussed. Also the basic entities, like source system, model, Reviews: 1.
Written by specialists at the forefront of this area, Discrete Event Simulation for Health Technology Assessment is the first book to make all the central concepts of DES relevant for health technology assessment (HTA). Accessible to beginners, the book requires no prerequisites and describes the concepts with as little jargon as possible. Decision makers who deal with the question of the introduction of discrete event simulation for planning support and optimization this book provides a contribution to the orientation, what. of discrete-event simulation and provide practice in utilizing concepts found in the text. Answers provided here are selective, in that not every problem in every chapter is solved. Answers in some instances are suggestive rather than complete. These two caveats hold particularly in chapters where building of computer simulation models is required. This text provides a basic treatment of discrete-event simulation, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. It offers an up-to-date treatment of simulation of ma/5(10).
Based on over 20 years of evolution within a classroom environment, as well as on decades-long experience in developing simulation-based solutions for high-tech industries, Modeling and Simulation of Discrete-Event Systems is the only book on DES-M&S in which all the major DES modeling formalisms – activity-based, process-oriented, state. In this edition, two major contributors to the theory of modeling and simulation join with the original author to completely revise the original text. As suggested by its subtitle, the current book concentrates on the integration of the continuous and discrete paradigms for modeling and simulation. However, the trend today is to simply develop simulation libraries which can be called from ordinary languages such as C++, instead of inventing entire new languages.1 So, the central focus today is on the programming paradigms, not on language. In this section we will present an overview of the three major discrete-event simulation paradigms. A discrete-event network simulation model was used as the platform. The model included the biology of the disease, risk factors for incidence and prognosis, and the health care system that screens for and treats the disease.