Simulation / Sheldon M. Ross, Epstein Department of Industrial and Systems Engineering, University of Southern California.
Material type:
TextEdition: 5 edDescription: xii, 310 pages : illustrations ; 24 cmISBN: 9780124158252 (hardback)Subject(s): Computer science | Random variables | Probabilities | Computer simulationDDC classification: 003 Summary: "In formulating a stochastic model to describe a real phenomenon, it used to be that one compromised between choosing a model that is a realistic replica of the actual situation and choosing one whose mathematical analysis is tractable. That is, there did not seem to be any payoff in choosing a model that faithfully conformed to the phenomenon under study if it were not possible to mathematically analyze that model. Similar considerations have led to the concentration on asymptotic or steady-state results as opposed to the more useful ones on transient time. However, the relatively recent advent of fast and inexpensive computational power has opened up another approach--namely, to try to model the phenomenon as faithfully as possible and then to rely on a simulation study to analyze it"--
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General Books
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Malaviya National Institute of Technology General Stacks | 003 ROS (Browse shelf(Opens below)) | Available | 85941 | |
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General Books
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Malaviya National Institute of Technology General Stacks | 003 ROS (Browse shelf(Opens below)) | Available | 85940 |
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Includes bibliographical references and index.
"In formulating a stochastic model to describe a real phenomenon, it used to be that one compromised between choosing a model that is a realistic replica of the actual situation and choosing one whose mathematical analysis is tractable. That is, there did not seem to be any payoff in choosing a model that faithfully conformed to the phenomenon under study if it were not possible to mathematically analyze that model. Similar considerations have led to the concentration on asymptotic or steady-state results as opposed to the more useful ones on transient time. However, the relatively recent advent of fast and inexpensive computational power has opened up another approach--namely, to try to model the phenomenon as faithfully as possible and then to rely on a simulation study to analyze it"--
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