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Aggregation Algorithms for Perturbed Markov Chains with Applications to Networks Modeling

✍ Scribed by Gambin, Anna; Krzyżanowski, Piotr; Pokarowski, Piotr

Book ID
118190906
Publisher
Society for Industrial and Applied Mathematics
Year
2008
Tongue
English
Weight
726 KB
Volume
31
Category
Article
ISSN
1064-8275

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In several papers Meyer, singly and with coauthors, established the usefulness of the group generalized inverse in the study and computations of various aspects of Markov chains. Here we are interested in those results which concern bounds on the condition number of the chain and on the error in the