Titlebook: Computational Probability; Winfried K. Grassmann Book 2000 Springer Science+Business Media New York 2000 Markov Chains.Markov chain.Markov

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书目名称Computational Probability影响因子(影响力)




书目名称Computational Probability影响因子(影响力)学科排名




书目名称Computational Probability网络公开度




书目名称Computational Probability网络公开度学科排名




书目名称Computational Probability被引频次




书目名称Computational Probability被引频次学科排名




书目名称Computational Probability年度引用




书目名称Computational Probability年度引用学科排名




书目名称Computational Probability读者反馈




书目名称Computational Probability读者反馈学科排名

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Numerical Methods for Computing Stationary Distributions of Finite Irreducible Markov Chains,let .. denote the rate at which an .-state Markov chain moves from state . to state .. The . × . matrix . whose off-diagonal elements are .. and whose .. diagonal element is given by ... is called the . of the Markov chain. It may be shown that the stationary probability vector ., a row vector whose

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Stochastic Automata Networks,is represented by a number of states and rules that govern the manner in which it moves from one state to the next. The state of an automaton at any time . is just the state it occupies at time . and the state of the SAN at time . is given by the state of each of its constituent automata.

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Use of Characteristic Roots for Solving Infinite State Markov Chains,pace. In particular, we consider the solution of such chains using roots or zeros. A root of an equation . (.) = 0 is a zero of the function . (.),and so for notational convenience we use the terms root and zero interchangeably. A natural class of chains that can be solved using roots are those with

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On Numerical Computations of Some Discrete-Time Queues,As-mussel, 1987, Bacelli and Bremaud, 1994, Bhat and Basawa, 1992, Boxma and Syski, 1988, Bunday, 1986, Bunday, 1996, Chaudhry and Templeton, 1983, Cohen, 1982, Cooper, 1981, Daigle, 1992, Gnedenko and Kovalenko, 1989, Gross and Harris, 1985, Kalashnikov, 1994, Kashyap and Chaudhry, 1988, Kleinrock,

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