（隨機(jī)模擬）STOCHASTIC Simulation（已加注）
標(biāo)簽： STOCHASTIC Simulation 隨機(jī) 模擬
上傳時(shí)間： 2015-09-14
上傳用戶：liansi
Simulated Annealing for both STOCHASTIC models and Deterministic models
標(biāo)簽： models Deterministic STOCHASTIC Simulated
上傳時(shí)間： 2013-12-18
上傳用戶：bruce5996
*** *** ****A First Course in STOCHASTIC Models.rar
標(biāo)簽： STOCHASTIC Course Models First
上傳時(shí)間： 2013-11-25
上傳用戶：15736969615
This paper addresses a STOCHASTIC-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
標(biāo)簽： capacities STOCHASTIC addresses network
上傳時(shí)間： 2015-12-03
上傳用戶：xfbs821
This paper addresses a STOCHASTIC-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
標(biāo)簽： capacities STOCHASTIC addresses network
上傳時(shí)間： 2013-12-25
上傳用戶：ggwz258
This paper addresses a STOCHASTIC-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
標(biāo)簽： capacities STOCHASTIC addresses network
上傳時(shí)間： 2014-01-09
上傳用戶：二驅(qū)蚊器
This paper addresses a STOCHASTIC-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
標(biāo)簽： capacities STOCHASTIC addresses network
上傳時(shí)間： 2013-12-28
上傳用戶：獨(dú)孤求源
A STOCHASTIC-flow network consists of a set of nodes, including source nodes which supply various resources and sink nodes at which resource demands take place, and a collection of arcs whose capacities have multiple operational states.
標(biāo)簽： nodes STOCHASTIC-flow including consists
上傳時(shí)間： 2013-12-22
上傳用戶：wlcaption
這是一本經(jīng)典的美國關(guān)于概率論和隨機(jī)過程的書的習(xí)題解答。這本書成為美國通信專業(yè)許多學(xué)校博士生的教材。書名“Probability ,random variables and STOCHASTIC processes” Athanasions Papoulis 著
標(biāo)簽： Probability STOCHASTIC variables random
上傳時(shí)間： 2016-02-22
上傳用戶：llandlu
A general decision rule for STOCHASTIC blind maximum-likelihood OSTBC detection is derived.
標(biāo)簽： maximum-likelihood STOCHASTIC detection decision
上傳時(shí)間： 2013-12-04
上傳用戶：xcy122677
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