Militia
发表于 2025-3-30 08:38:33
Book 2000on matrices for Markov chains,with particular emphasis on stochastic Petri-nets. Chapter 3 discusseshow to find transient probabilities and transient rewards for theseMarkov chains. The next two chapters indicate how to find steady-stateprobabilities for Markov chains with a finite number of states.
沉积物
发表于 2025-3-30 13:03:19
https://doi.org/10.1007/978-3-658-02664-6 is therefore quite simple. Unfortunately, problems arise from the computational point of view because of the large number of states which many systems may occupy. As indicated in Chapters 1 and 2, it is not uncommon for thousands of states to be generated even for simple applications.
机制
发表于 2025-3-30 19:58:37
Helmuth Ludwig,Alastair Orchardur focus in this chapter is on the discrete-time case, we will show how the continuous-time case can be handled by the same techniques. The M/G/1 and G/M/1 classes can be solved using the matrix analytic method , and we will also discuss the relationship between the approac
CHART
发表于 2025-3-30 22:29:54
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