Handbook of Real-World Applications in Modeling and by John A. Sokolowski

By John A. Sokolowski

Introduces quite a few modeling and simulation equipment and paradigms which are used to provide an explanation for and resolve the important demanding situations dealing with society

Handbook of Real-World functions in Modeling and Simulation presents a radical clarification of modeling and simulation within the most precious, present, and main utilized parts of transportation, fatherland safeguard, medication, operational study, army technological know-how, and enterprise modeling. supplying a state of the art and obtainable presentation, this ebook discusses how and why the awarded domain names became prime purposes of modeling and simulation techniques.

Contributions from prime teachers and researchers combine modeling and simulation theories, tools, and information to investigate demanding situations that contain technological and social concerns. The ebook starts off with an advent that explains why modeling and simulation is a competent research overview instrument for advanced platforms difficulties. next chapters offer an orientation to numerous modeling and simulation equipment and paradigms which are used to give an explanation for and clear up the major demanding situations throughout real-world utilized domain names. also, the handbook:

  • Provides a realistic one-stop reference on modeling and simulation and includes an obtainable advent to key options and techniques

  • Introduces, trains, and prepares readers from facts, arithmetic, engineering, machine technology, economics, and company to exploit modeling and simulation of their reviews and research

  • Features case experiences which are consultant of basic parts of multidisciplinary stories and offers a concise examine the foremost ideas of modeling and simulation

  • Contains a set of unique rules on modeling and simulation to assist lecturers and practitioners boost a multifunctional perspective

Self-contained chapters provide a complete method of explaining every one respective area and comprise sections that discover the similar background, thought, modeling paradigms, and case reviews. keyword phrases and strategies are in actual fact defined, and workout units let readers to check their comprehension of the awarded material.

Handbook of Real-World functions in Modeling and Simulation is a vital reference for teachers and practitioners within the components of operations examine, company, administration technological know-how, engineering, information, arithmetic, and computing device technology. The guide is usually an appropriate complement for classes on modeling and simulation on the graduate level.

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Extra info for Handbook of Real-World Applications in Modeling and Simulation

Example text

Law AM, Kelton WD. Simulation, Modeling, and Analysis. 4th ed. New York: McGraw-Hill, Inc; 2006. 5. Fishwick PA. Simulation Model Design and Execution: Building Digital Worlds. New Jersey: Prentice Hall; 1995. 6. Banks J, editor. Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice. New York: John Wiley & Sons, Inc; 1998. 7. Colwell RR. Complexity and connectivity: a new cartography for science and engineering. Remarks from the American Geophysical Union’s Fall Meeting; San Francisco: 1999.

The model can also scale and number represented entities that are large and can compromise the time required to conduct a simulation. These models are most often used in constructive models; they are not physics-based models. Hybrid modeling entails combining more than one modeling paradigm. This type of modeling is becoming common practice among model developers. Hybrid modeling makes use of several modeling methods; however, they are disadvantaged in that composing several different types of models correctly is a difficult process.

A person may expend considerable thought just trying to understand the nature of the problem and gain insight into the context in which the problem exists. This is known as developing situational awareness (SA) of the problem at hand. Understanding the decision situation may be complicated by an environment that is changing or one where the decision maker has incomplete or imperfect information. An end state or goal that is unclear or that is dynamically shifting may further complicate the decision problem.

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