Modeling and simulation fundamentals : theoretical underpinnings and practical domains

摘要: Preface. Contributors. 1 Introduction to Modeling and Simulation (Catherine M. Banks). M&S. M&S Characteristics Descriptors. Categories. Conclusion. References. 2 Statistical Concepts for Discrete Event (Roland R. Mielke). Probability. Basics. Input Data Modeling. Output Analysis. 3 Discrete-Event (Rafael Diaz Joshua G. Behr). Queuing System Model Components. Methodology. DES Example. Hand Spreadsheet Implementation. Arena Simulation. 4 Continuous Systems (Wesley N. Colley). Class. (M&S) Strategy. Approach. Examples. Simulating Systems. 5 Monte Carlo (John A. Sokolowski). The Method. Sensitivity 6 Modeling: Analysis Operations Research (Frederic D. McKenziei). Types. Methodologies Tools. of (M&S). OR Methods. Further Readings. 7 Visualization (Yuzhong Shen). Computer Graphics Fundamentals. Software Case Studies. 8 Methodologies: A Approach the Social Sciences (Barry Silverman, Gnana K. Bharathy, Benjamin Nye, Jiyun Kim, Mark Roddy, Mjumbe Poe). State Substate Actors with CountrySim: Synthesizing Theories Across Sciences. CountrySim Application Sociocultural Game Results. Conclusions Way Forward. 9 Human Behavior (Yiannis Papelis Poornima Madhavan). Behavioral at Physical Level. Tactical Strategic Techniques Factors. Interaction. 10 Verifi cation, Validation, Accreditation (Mikel Petty). Motivation. Background Defi nitions. VV&A V&V as Comparisons. Performing VV&A. Acknowledgments. 11 An Distributed (Gabriel Wainer Khaldoon Al-Zoubi). Trends Challenges Brief History Synchronization Algorithms Parallel Middleware. 12 Interoperability Composability (Andreas Tolk). Defining Composability. Current Standard Solutions. Engineering Methods Supporting Interoperation Composition. Index.