The Markov method can forecast the future state of things by studying the initial probability of differ states and transfer probability among the stages.
马氏链预测法是通过对事物不同状态的初始概率及状态之间的转移概率的研究，预测事物的未来状态。
In order to solve the problem of state space explosion of Markov chains in the research field of dynamic fault tree, a new method based on isomorphic node is presented.
为了解决动态故障树研究领域的马尔可夫链状态空间爆炸问题，给出了一个基于同构节点的动态故障树分析方法。
An algorithm for computing the stationary distribution of finite state discrete time Markov Chains is provided in the paper.
论文提出了一种计算有限状态离散时间马尔科夫链平稳分布的算法。
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