派博傳思國際中心

標(biāo)題: Titlebook: Discrete-Event Simulation; Modeling, Programmin George S. Fishman Textbook 2001 Springer Science+Business Media New York 2001 Analysis.Disc [打印本頁]

作者: MAXIM    時(shí)間: 2025-3-21 16:13
書目名稱Discrete-Event Simulation影響因子(影響力)




書目名稱Discrete-Event Simulation影響因子(影響力)學(xué)科排名




書目名稱Discrete-Event Simulation網(wǎng)絡(luò)公開度




書目名稱Discrete-Event Simulation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Discrete-Event Simulation被引頻次




書目名稱Discrete-Event Simulation被引頻次學(xué)科排名




書目名稱Discrete-Event Simulation年度引用




書目名稱Discrete-Event Simulation年度引用學(xué)科排名




書目名稱Discrete-Event Simulation讀者反饋




書目名稱Discrete-Event Simulation讀者反饋學(xué)科排名





作者: 送秋波    時(shí)間: 2025-3-21 21:57

作者: Certainty    時(shí)間: 2025-3-22 01:46

作者: 弓箭    時(shí)間: 2025-3-22 06:00

作者: Fraudulent    時(shí)間: 2025-3-22 09:26
1431-8598 station environments.Each example is brought forward throughDiscrete-event simulation consists of a collection of techniques that when applied to a discrete-event dynamical system, generates sequences called sample paths that characterize its behavior. The collection includes modelling concepts for
作者: 收集    時(shí)間: 2025-3-22 16:27

作者: 收集    時(shí)間: 2025-3-22 19:26
Abraham Lerman,Devendra Lal,Michael F. Dacey step 3 depends solely on what the programming language automatically makes available in converting the model to code in step 6. Too often, step 9 is ignored, making any conclusions based on comparisons across experiments difficult to justify statistically.
作者: Pander    時(shí)間: 2025-3-23 00:09
Stefan Schaltegger,Roger Burrittationist than they were in the past. Moreover, every simulation programming language implicitly provides a means for managing space and performing searches during execution of virtually any program written in the language, further removing these issues from a simulationist’s consciousness.
作者: yohimbine    時(shí)間: 2025-3-23 01:40
Modeling Concepts, step 3 depends solely on what the programming language automatically makes available in converting the model to code in step 6. Too often, step 9 is ignored, making any conclusions based on comparisons across experiments difficult to justify statistically.
作者: 言行自由    時(shí)間: 2025-3-23 07:50

作者: 集中營    時(shí)間: 2025-3-23 12:26
Textbook 2001mple paths that characterize its behavior. The collection includes modelling concepts for abstracting the essential features of a system, using specially designed software for converting these relationships into computer executable code capable of generating the requisite sample-path data; outlining
作者: membrane    時(shí)間: 2025-3-23 16:41

作者: 光明正大    時(shí)間: 2025-3-23 21:09

作者: Receive    時(shí)間: 2025-3-24 01:47

作者: Protein    時(shí)間: 2025-3-24 02:40
Abraham Lerman,Devendra Lal,Michael F. DaceyDiscrete-event simulation consists of a collection of techniques that, when applied to the study of a discrete-event dynamical system, generates sequences called . that characterize its behavior. The collection includes:
作者: AWRY    時(shí)間: 2025-3-24 10:00
Simulation in Perspective,Discrete-event simulation consists of a collection of techniques that, when applied to the study of a discrete-event dynamical system, generates sequences called . that characterize its behavior. The collection includes:
作者: 健談的人    時(shí)間: 2025-3-24 11:07
https://doi.org/10.1007/978-1-4757-3552-9Analysis; Discrete-Event Simulation; Performance; Simulation Modeling; modeling; operations research; simu
作者: obeisance    時(shí)間: 2025-3-24 15:49

作者: 牽索    時(shí)間: 2025-3-24 22:33

作者: atrophy    時(shí)間: 2025-3-25 00:18
https://doi.org/10.1007/978-1-4684-8529-5resource utilization, and system loss. . denotes the rate at which a system provides finished product. As examples, throughput in a manufacturing setting denotes the number of finished goods that a factory produces per unit of time. In a telecommunications network, the rate at which messages pass fr
作者: Keshan-disease    時(shí)間: 2025-3-25 04:20

作者: 生命層    時(shí)間: 2025-3-25 07:52
Stefan Schaltegger,Roger Burritt 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
作者: EXALT    時(shí)間: 2025-3-25 14:40
Yoshihiro Ito,Hiroyuki Yagi,Akira Omorindent 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
作者: 千篇一律    時(shí)間: 2025-3-25 18:03
Stefan Schaltegger,Roger Burritt delay time, queue length, and resource utilization. Sample averages summarize these data and usually become the focal point of reports and presentations to management. Since they merely approximate corresponding long-run averages that would be observed if the simulation were run for an infinite rat
作者: Aesthete    時(shí)間: 2025-3-25 23:37

作者: compassion    時(shí)間: 2025-3-26 01:59

作者: 粗野    時(shí)間: 2025-3-26 05:43

作者: macrophage    時(shí)間: 2025-3-26 11:07
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.
作者: 可耕種    時(shí)間: 2025-3-26 12:56
Pseudorandom Number Generation,e of i.i.d. random samples from .(0, 1) as input. To meet this need, every discrete-event simulation programming language provides a . that produces a sequence of nonnegative integers .., ..,... with integer upper bound . > .. ?. and then uses .., ..,..., where .. := ../., as an approximation to an i.i.d. sequence from .(0, 1).
作者: LEERY    時(shí)間: 2025-3-26 19:54
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.
作者: 過份好問    時(shí)間: 2025-3-26 22:36
George S. FishmanLeading authority in the area provides basic treatment of the subject.Written from the perspective of today‘s highly interactive PC and workstation environments.Each example is brought forward through
作者: rectum    時(shí)間: 2025-3-27 02:14

作者: GROWL    時(shí)間: 2025-3-27 06:05
Discrete-Event Simulation978-1-4757-3552-9Series ISSN 1431-8598 Series E-ISSN 2197-1773
作者: fatuity    時(shí)間: 2025-3-27 13:26
Stanislav E. Shmelev,Irina A. Shmelevastributions. 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.
作者: 散開    時(shí)間: 2025-3-27 15:10

作者: 柏樹    時(shí)間: 2025-3-27 20:34
Cooperative Behaviour and Institutionsulation 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.
作者: Genome    時(shí)間: 2025-3-27 23:27
1431-8598 making..Principally offered are four problems for student exercises; each is progressively brought forward through the modelling, programming, and analysis chapters, providing continuity to the learning process978-1-4419-2892-4978-1-4757-3552-9Series ISSN 1431-8598 Series E-ISSN 2197-1773
作者: diskitis    時(shí)間: 2025-3-28 03:28
Textbook 2001ing complex sytems allows a relatively low-cost way of gathering information for decision-making..Principally offered are four problems for student exercises; each is progressively brought forward through the modelling, programming, and analysis chapters, providing continuity to the learning process
作者: deciduous    時(shí)間: 2025-3-28 10:03
Modeling Concepts, out to blur the distinction between steps, rearrange their order, or in some cases, neglect or pay too little attention to them. For example, the availability of point-click-drag-drop simulation software entices a simulationist to merge steps 1 and 6, possibly making her or him oblivious to a wider
作者: Panacea    時(shí)間: 2025-3-28 12:34
Data Collection and Averages,resource utilization, and system loss. . denotes the rate at which a system provides finished product. As examples, throughput in a manufacturing setting denotes the number of finished goods that a factory produces per unit of time. In a telecommunications network, the rate at which messages pass fr
作者: 情感    時(shí)間: 2025-3-28 16:41

作者: companion    時(shí)間: 2025-3-28 22:46
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
作者: FECK    時(shí)間: 2025-3-29 01:44
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
作者: infelicitous    時(shí)間: 2025-3-29 05:33

作者: assent    時(shí)間: 2025-3-29 11:01
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.
作者: Fibrinogen    時(shí)間: 2025-3-29 12:49

作者: monogamy    時(shí)間: 2025-3-29 16:50
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.
作者: 打算    時(shí)間: 2025-3-29 21:01
10樓
作者: sinoatrial-node    時(shí)間: 2025-3-30 01:39
10樓




歡迎光臨 派博傳思國際中心 (http://www.pjsxioz.cn/) Powered by Discuz! X3.5
瑞丽市| 婺源县| 峨眉山市| 宝坻区| 梁河县| 县级市| 肇庆市| 石阡县| 竹北市| 会东县| 建德市| 德兴市| 确山县| 双桥区| 宜君县| 武汉市| 津南区| 荔波县| 济源市| 抚宁县| 红河县| 嘉定区| 麟游县| 锡林郭勒盟| 武安市| 如皋市| 府谷县| 上饶县| 巨野县| 昌都县| 镶黄旗| 古田县| 隆子县| 天镇县| 永春县| 沅陵县| 郴州市| 黄冈市| 瑞昌市| 巴林左旗| 尉犁县|