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Titlebook: Discrete-Event Simulation; Modeling, Programmin George S. Fishman Textbook 2001 Springer Science+Business Media New York 2001 Analysis.Disc

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41#
發(fā)表于 2025-3-28 16:41:10 | 只看該作者
42#
發(fā)表于 2025-3-28 22:46:22 | 只看該作者
Search, Space, and Time, proportion of its running time executing searches for new space and creating and maintaining order among the myriad of entity records and event notices it generates as simulated time evolves. In spite of their relative importance, current PC workstation environments, with their substantial memories
43#
發(fā)表于 2025-3-29 01:44:46 | 只看該作者
Output Analysis,ndent observations that serve as the raw material for estimating the true values of one or more long-run performance measures, hereafter called .. Two phenomena, . and ., influence how well an estimate approximates the true value of a parameter. Random input induces sampling error, and the dependenc
44#
發(fā)表于 2025-3-29 05:33:18 | 只看該作者
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發(fā)表于 2025-3-29 11:01:00 | 只看該作者
Sampling from Probability Distributions,stributions. Often, this incorporation is relatively seamless, requiring the user merely to pull down a menu of options, select a distribution, and specify its parameters. This major convenience relieves the user of the need to write her or his code to effect sampling.
46#
發(fā)表于 2025-3-29 12:49:18 | 只看該作者
47#
發(fā)表于 2025-3-29 16:50:50 | 只看該作者
Preparing the Input,ulation models and executable programs, but only after we have identified all sources of stochastic variation, specified sampling distributions that characterize each source, and assign numerical values to the parameters of the distributions. This chapter addresses these issues.
48#
發(fā)表于 2025-3-29 21:01:27 | 只看該作者
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發(fā)表于 2025-3-30 01:39:47 | 只看該作者
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