{"product_id":"modeling-and-simulation-fundamentals-isbn-9780470486740","title":"Modeling and Simulation Fundamentals","description":"\u003cb\u003eAn insightful presentation of the key concepts, paradigms, and applications of modeling and simulation\u003c\/b\u003e  \u003cp\u003eModeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. \u003ci\u003eModeling and Simulation Fundamentals\u003c\/i\u003e offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation.\u003c\/p\u003e \u003cp\u003eFeaturing contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation. Subsequent chapters develop the necessary mathematical background needed to understand modeling and simulation topics, model types, and the importance of visualization. In addition, Monte Carlo simulation, continuous simulation, and discrete event simulation are thoroughly discussed, all of which are significant to a complete understanding of modeling and simulation. The book also features chapters that outline sophisticated methodologies, verification and validation, and the importance of interoperability. A related FTP site features color representations of the book's numerous figures.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eModeling and Simulation Fundamentals\u003c\/i\u003e encompasses a comprehensive study of the discipline and is an excellent book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of computational statistics, engineering, and computer science who use statistical modeling techniques.\u003c\/p\u003e  \u003cb\u003ePreface.\u003c\/b\u003e  \u003cp\u003e\u003cb\u003eContributors.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction to Modeling and Simulation\u003c\/b\u003e (\u003ci\u003eCatherine M. Banks\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eM\u0026amp;S.\u003c\/p\u003e \u003cp\u003eM\u0026amp;S Characteristics and Descriptors.\u003c\/p\u003e \u003cp\u003eM\u0026amp;S Categories.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Statistical Concepts for Discrete Event Simulation\u003c\/b\u003e (\u003ci\u003eRoland R. Mielke\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eProbability.\u003c\/p\u003e \u003cp\u003eSimulation Basics.\u003c\/p\u003e \u003cp\u003eInput Data Modeling.\u003c\/p\u003e \u003cp\u003eOutput Data Analysis.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Discrete-Event Simulation\u003c\/b\u003e (\u003ci\u003eRafael Diaz and Joshua G. Behr\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eQueuing System Model Components.\u003c\/p\u003e \u003cp\u003eSimulation Methodology.\u003c\/p\u003e \u003cp\u003eDES Example.\u003c\/p\u003e \u003cp\u003eHand Simulation—Spreadsheet Implementation.\u003c\/p\u003e \u003cp\u003eArena Simulation.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Modeling Continuous Systems\u003c\/b\u003e (\u003ci\u003eWesley N. Colley\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eSystem Class.\u003c\/p\u003e \u003cp\u003eModeling and Simulation (M\u0026amp;S) Strategy.\u003c\/p\u003e \u003cp\u003eModeling Approach.\u003c\/p\u003e \u003cp\u003eModel Examples.\u003c\/p\u003e \u003cp\u003eSimulating Continuous Systems.\u003c\/p\u003e \u003cp\u003eSimulation Implementation.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Monte Carlo Simulation\u003c\/b\u003e (\u003ci\u003eJohn A. Sokolowski\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eThe Monte Carlo Method.\u003c\/p\u003e \u003cp\u003eSensitivity Analysis.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Systems Modeling: Analysis and Operations Research\u003c\/b\u003e (\u003ci\u003eFrederic D. McKenziei\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eSystem Model Types.\u003c\/p\u003e \u003cp\u003eModeling Methodologies and Tools.\u003c\/p\u003e \u003cp\u003eAnalysis of Modeling and Simulation (M\u0026amp;S).\u003c\/p\u003e \u003cp\u003eOR Methods.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eFurther Readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Visualization\u003c\/b\u003e (\u003ci\u003eYuzhong Shen\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eComputer Graphics Fundamentals.\u003c\/p\u003e \u003cp\u003eVisualization Software and Tools.\u003c\/p\u003e \u003cp\u003eCase Studies.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 M\u0026amp;S Methodologies: A Systems Approach to the Social Sciences\u003c\/b\u003e (\u003ci\u003eBarry G. Silverman, Gnana K. Bharathy, Benjamin Nye, G. Jiyun Kim, Mark Roddy, and Mjumbe Poe\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eSimulating State and Substate Actors with CountrySim: Synthesizing Theories Across the Social Sciences.\u003c\/p\u003e \u003cp\u003eThe CountrySim Application and Sociocultural Game Results.\u003c\/p\u003e \u003cp\u003eConclusions and the Way Forward.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Modeling Human Behavior\u003c\/b\u003e (\u003ci\u003eYiannis Papelis and Poornima Madhavan\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eBehavioral Modeling at the Physical Level.\u003c\/p\u003e \u003cp\u003eBehavioral Modeling at the Tactical and Strategic Level.\u003c\/p\u003e \u003cp\u003eTechniques for Human Behavior Modeling.\u003c\/p\u003e \u003cp\u003eHuman Factors.\u003c\/p\u003e \u003cp\u003eHuman–Computer Interaction.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Verifi cation, Validation, and Accreditation\u003c\/b\u003e (\u003ci\u003eMikel D. Petty\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eMotivation.\u003c\/p\u003e \u003cp\u003eBackground Defi nitions.\u003c\/p\u003e \u003cp\u003eVV\u0026amp;A Defi nitions.\u003c\/p\u003e \u003cp\u003eV\u0026amp;V as Comparisons.\u003c\/p\u003e \u003cp\u003ePerforming VV\u0026amp;A.\u003c\/p\u003e \u003cp\u003eV\u0026amp;V Methods.\u003c\/p\u003e \u003cp\u003eVV\u0026amp;A Case Studies.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 An Introduction to Distributed Simulation\u003c\/b\u003e (\u003ci\u003eGabriel A. Wainer and Khaldoon Al-Zoubi\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eTrends and Challenges of Distributed Simulation.\u003c\/p\u003e \u003cp\u003eA Brief History of Distributed Simulation.\u003c\/p\u003e \u003cp\u003eSynchronization Algorithms for Parallel and Distributed Simulation.\u003c\/p\u003e \u003cp\u003eDistributed Simulation Middleware.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Interoperability and Composability\u003c\/b\u003e (\u003ci\u003eAndreas Tolk\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003eDefining Interoperability and Composability.\u003c\/p\u003e \u003cp\u003eCurrent Interoperability Standard Solutions.\u003c\/p\u003e \u003cp\u003eEngineering Methods Supporting Interoperation and Composition.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eFurther Readings.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e  \"This text provides a well-designed overview of M\u0026amp;S as a discipline useful for graduate students with engineering, mathematics or computer science background and for specialists interested in fundamental principles of M\u0026amp;S, its further development and applications.\" (\u003ci\u003eZentralblatt MATH\u003c\/i\u003e, 2010)\u003cbr\u003e \u003cbr\u003e  \u003cb\u003eJOHN A. SOKOLOWSKI\u003c\/b\u003e, PhD, is Research Professor and Director of Research at the Virginia Modeling, Analysis and Simulation Center at Old Dominion University. He is the coeditor of \u003ci\u003ePrinciples of Modeling and Simulation: A Multidisciplinary Approach\u003c\/i\u003e and coauthor of \u003ci\u003eModeling and Simulation for Analyzing Global Events\u003c\/i\u003e, both published by Wiley. Dr. Sokolowski currently focuses his research on computational modeling of human and social behavior.  \u003cp\u003e\u003cb\u003eCATHERINE M. BANKS\u003c\/b\u003e, PhD, is Research Assistant Professor at the Virginia Modeling, Analysis and Simulation Center at Old Dominion University. She is the coeditor of \u003ci\u003ePrinciples of Modeling and Simulation: A Multidisciplinary Approach\u003c\/i\u003e and coauthor of \u003ci\u003eModeling and Simulation for Analyzing Global Events\u003c\/i\u003e, both published by Wiley. Dr. Banks's current research interests include modeling states and their varied histories of revolution and insurgency, political economy and state volatility, and theoretical modeling concepts.\u003c\/p\u003e  \u003cb\u003eAn insightful presentation of the key concepts, paradigms, and applications of modeling and simulation\u003c\/b\u003e  \u003cp\u003eModeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. \u003ci\u003eModeling and Simulation Fundamentals\u003c\/i\u003e offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation.\u003c\/p\u003e \u003cp\u003eFeaturing contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation. Subsequent chapters develop the necessary mathematical background needed to understand modeling and simulation topics, model types, and the importance of visualization. In addition, Monte Carlo simulation, continuous simulation, and discrete event simulation are thoroughly discussed, all of which are significant to a complete understanding of modeling and simulation. The book also features chapters that outline sophisticated methodologies, verification and validation, and the importance of interoperability. A related FTP site features color representations of the book's numerous figures.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eModeling and Simulation Fundamentals\u003c\/i\u003e encompasses a comprehensive study of the discipline and is an excellent book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of computational statistics, engineering, and computer science who use statistical modeling techniques.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989636301029,"sku":"NP9780470486740","price":149.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470486740.jpg?v=1761784902","url":"https:\/\/k12savings.com\/es\/products\/modeling-and-simulation-fundamentals-isbn-9780470486740","provider":"K12savings","version":"1.0","type":"link"}