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This chapter describes the appropriate uses of simulation techniques and how to approach simulation modelling beginning with the planning stages, through the various aspects of model building, validation and verification, specifically on discrete-event simulation modelling techniques.
PDF | On Jan 1, 2009, Irina Kukuyeva published Principles of Modeling and Simulation: A Multidisciplinary Approach | Find, read and cite all the research you need on ResearchGate
Department of Modeling, Simulation, and Visualization Engineering, where his research emphasizes patient-specific neurosurgery simulation, model-based surgical guidance, and surgical device development.
Chapters 3 to 5 develop a three - part series of M & S paradigms, starting with Chapter 3 , “ Discrete - Event Simulation, ” Chapter 4 , “ Modeling Continuous Systems, ” and Chapter 5 , “ Monte Carlo Simulation. ” Chapters 6 and 7 develop two areas necessary for model development.
29 Μαρ 2010 · Modeling and Simulation Fundamentals 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.
The overall goal of the research is to bridge the gap between model design & development and model verification & validation in a modeling and simulation procedure which, as a whole, is essential for the application of modeling and simulation techniques to understand any real-world system.
• Comprehend important concepts in computer modeling and simulation. • Model uncertainty and randomness by means of statistical distributions. • Form a hypothesis and design a computer experiment to test it. • Collect and model data, estimate errors in the results and analyze simula-tion outputs.
