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In probability theory, the matrix geometric method is a method for the analysis of quasi-birth–death processes, continuous-time Markov chain whose transition rate matrices with a repetitive block structure. The method was developed "largely by Marcel F. Neuts and his students starting around 1975." ==Method description== The method requires a transition rate matrix with tridiagonal block structure as follows :: where each of ''B''00, ''B''01, ''B''10, ''A''0, ''A''1 and ''A''2 are matrices. To compute the stationary distribution ''π'' writing ''π'' ''Q'' = 0 the balance equations are considered for sub-vectors ''π''''i'' :: Observe that the relationship :: holds where ''R'' is the Neut's rate matrix, which can be computed numerically. Using this we write :: which can be solve to find ''π''0 and ''π''1 and therefore iteratively all the ''π''''i''. 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Matrix geometric method」の詳細全文を読む スポンサード リンク
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