Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/61163
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Type: Book chapter
Title: Computing the fundamental matrix of an M/G/1-type Markov chain
Author: Hunt, E.
Citation: Optimization: Structure and Applications, 2009 / Pearce, C., Hunt, E. (ed./s), pp.167-188
Publisher: Springer
Publisher Place: Germany
Issue Date: 2009
Series/Report no.: Springer optimization and its applications ; 32.
ISBN: 9780387980959
Editor: Pearce, C.
Hunt, E.
Statement of
Responsibility: 
Emma Hunt
Abstract: A treatment is given of a probabilistic approach, Algorithm H, to the determination of the fundamental matrix of a block-structured –type Markov chain. Comparison is made with the cyclic reduction algorithm.
Keywords: Block Markov chain
fundamental matrix
Algorithm H convergence rates
LR Algorithm
CR Algorithm
Rights: © 2009 Springer. Part of Springer Science+Business Media
DOI: 10.1007/978-0-387-98096-6_9
Published version: http://dx.doi.org/10.1007/978-0-387-98096-6_9
Appears in Collections:Aurora harvest 5
Mathematical Sciences publications

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