Modeling and Simulation Fundamentals
John A. Sokolowski, Catherine M. Banks
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Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
An insightful presentation of the key concepts, paradigms, andapplications of modeling and simulation Modeling and simulation has become an integral part of researchand development across many fields of study, having evolved from atool to a discipline in less than two decades. Modeling andSimulation Fundamentals offers a comprehensive andauthoritative treatment of the topic and includes definitions,paradigms, and applications to equip readers with the skills neededto work successfully as developers and users of modeling andsimulation. Featuring contributions written by leading experts in the field,the book's fluid presentation builds from topic to topic andprovides the foundation and theoretical underpinnings of modelingand simulation. First, an introduction to the topic is presented,including related terminology, examples of model development, andvarious domains of modeling and simulation. Subsequent chaptersdevelop the necessary mathematical background needed to understandmodeling and simulation topics, model types, and the importance ofvisualization. In addition, Monte Carlo simulation, continuoussimulation, and discrete event simulation are thoroughly discussed,all of which are significant to a complete understanding ofmodeling and simulation. The book also features chapters thatoutline sophisticated methodologies, verification and validation,and the importance of interoperability. A related FTP site featurescolor representations of the book's numerous figures. Modeling and Simulation Fundamentals encompasses acomprehensive study of the discipline and is an excellent book formodeling and simulation courses at the upper-undergraduate andgraduate levels. It is also a valuable reference for researchersand practitioners in the fields of computational statistics,engineering, and computer science who use statistical modelingtechniques.
"This text provides a well-designed overview of M&S as adiscipline useful for graduate students with engineering,mathematics or computer science background and for specialistsinterested in fundamental principles of M&S, its furtherdevelopment and applications."
Statistics, Systemtechnik u. -management, Elektrotechnik u. Elektronik, Electrical & Electronics Engineering, Computational & Graphical Statistics, Mathematics, Statistik, Modell (Math.), Mathematical Modeling, Mathematische Modellierung, Systems Engineering & Management, Rechnergestützte u. graphische Statistik, Mathematik