Entrywise perturbation theory and error analysis for Markov chains (Q1326397)

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scientific article; zbMATH DE number 569120
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Entrywise perturbation theory and error analysis for Markov chains
scientific article; zbMATH DE number 569120

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    Entrywise perturbation theory and error analysis for Markov chains (English)
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    18 May 1994
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    \textit{W. K. Grassmann}, \textit{M. I. Taksar} and \textit{D. P. Heyman} [Oper. Res. 33, 1107-1116 (1985; Zbl 0576.60083)] introduced a variant of Gaussian elimination for computing the steady-state vector of a Markov chain. The present author proves that their algorithm is stable, and that the problem itself is well-conditioned. The key to the analysis is to focus on entrywise relative error in both the data and the computed solution.
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    entrywise perturbation
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    error analysis
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    numerical stability
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    well- conditioned problem
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    Gaussian elimination
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    Markov chain
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