Simulation / Sheldon M. Ross

By:

Ross, Sheldon M

Material type: Text

TextLanguage: English Publication details: Amsterdam : Elsevier Academic Press, c2013.Edition: 5th edDescription: xii, 310 p. : ill. ; 22+ cmISBN:

9780124158252

Subject(s):

LOC classification:

QA273 .R67 2013

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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Holdings
Item type	Current library	Collection	Shelving location	Call number	Copy number	Status	Barcode
Books	North South University Library	Non-fiction	General Stacks	QA273.R67 2013 (Browse shelf(Opens below))	1	Available	36780
Books	North South University Library	Non-fiction	General Stacks	QA273.R67 2013 (Browse shelf(Opens below))	2	Available	36781
Books	North South University Library	Non-fiction	General Stacks	QA273.R67 2013 (Browse shelf(Opens below))	3	Available	43586

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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Simulation / Sheldon M. Ross