Rounding errors in certain algorithms involving Markov chains

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Rounding errors in certain algorithms involving Markov chains

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ACM Transactions on Mathematical Software (TOMS) archive
Volume 19 , Issue 4 (December 1993) table of contents

Pages: 496 - 508

Year of Publication: 1993

ISSN:0098-3500

Author

Winfried K. Grassmann

Univ. of Saskatchewan

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 4, Downloads (12 Months): 30, Citation Count: 2

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ABSTRACT

A number of algorithms involving Markov chains contain no subtractions. This property makes the analysis of rounding errors particularly simple. To show this, some principles for analyzing the propagation and generation of rounding errors in algorithms containing no subtraction are discussed first. These principles are then applied in the context of a simple recursive algorithm involving the transient solution of discrete-time Markov chains, Jensen's algorithm, and state reduction. Jensen's algorithm, also known as randomization or uniformization, is an algorithm for finding transient solutions of continuous-time Markov chains. State reduction is a method for finding equilibrium probabilities for discrete-time or continuous-time Markov chains.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY 2

	Juan A. Carrasco, Computation of bounds for transient measures of large rewarded Markov models using regenerative randomization, Computers and Operations Research, v.30 n.7, p.1005-1035, June 2003
	Darryl Wayne Dormuth , Attahiru Sule Alfa, Two finite-difference methods for solving $MAP(t)/PH(t)/1/K$ queueing models, Queueing Systems: Theory and Applications, v.27 n.1-2, p.55-78, 1997