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Titlebook: Advances in Modeling and Simulation; Seminal Research fro Andreas Tolk,John Fowler,Enver Yücesan Book 2017 Springer International Publishin

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期刊全稱Advances in Modeling and Simulation
期刊簡稱Seminal Research fro
影響因子2023Andreas Tolk,John Fowler,Enver Yücesan
視頻videohttp://file.papertrans.cn/149/148965/148965.mp4
發(fā)行地址Marks the 50th anniversary of the Winter Simulation Conference (WSC), the premier international forum for disseminating advances in the field of systems simulation.Showcases the many significant contr
學(xué)科分類Simulation Foundations, Methods and Applications
圖書封面Titlebook: Advances in Modeling and Simulation; Seminal Research fro Andreas Tolk,John Fowler,Enver Yücesan Book 2017 Springer International Publishin
影響因子.?This broad-ranging text/reference presents a fascinating review of the state of the art of modeling and simulation, highlighting both the seminal work of preeminent authorities and exciting developments from promising young researchers in the field. Celebrating the 50th anniversary of the Winter Simulation Conference (WSC), the premier international forum for disseminating recent advances in the field of system simulation, the book showcases the historical importance of this influential conference while also looking forward to a bright future for the simulation community..Topics and features: examines the challenge of constructing valid and efficient models, emphasizing the benefits of the process of simulation modeling; discusses model calibration, input model risk, and approaches to validating emergent behaviors in large-scale complex systems with non-linear interactions; reviews the evolution of simulation languages, and the history of the Time Warp algorithm; offers afocus on the design and analysis of simulation experiments under various goals, and describes how data can be “farmed” to support decision making; provides a comprehensive overview of Bayesian belief models for s
Pindex Book 2017
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Coming of Age in Colonial Indiaystem, and making changes to model input parameters accordingly to achieve an acceptable level of agreement between the simulation model and the real system. While calibration in a broader context may involve structural changes to the simulation model, this chapter focuses on the calibration of simu
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Engineering an Urban Renaissance,er real-life scenarios. Identifying these behaviors as they happen as well as determining whether these behaviors are beneficial for the system is crucial to highlight potential faults or undesired side effects early in the development of a system, thus promising significant cost reductions. Beyond
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Colonial Heritage, Power, and Contestation analysis, optimization (possibly robust), and risk or uncertainty analysis. These goals may be realized through metamodels. Two types of metamodels are the focus of this tutorial: (i) low-order polynomial regression, and (ii) Kriging (or Gaussian processes). The type of metamodel guides the design
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Camila Andrea Malig Jedlicki,Naomi Oostermanmulation studies, but a key drawback to the data mining paradigm is that it relies on observational data and thus limits the types of insights that can be gained. We can do much better with ‘data farming,’ a metaphor that captures the notion of purposeful data generation from simulation models. Pros
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