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Approximating stationary measures of structured continuous-time Markov models using matrix diagrams
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ACM SIGMETRICS Performance Evaluation Review archive
Volume 35 ,  Issue 3  (December 2007) table of contents
POSTER SESSION: Performance 2007 posters table of contents
Pages 16-18  
Year of Publication: 2007
ISSN:0163-5999
Authors
Gianfranco Ciardo  University of California at Riverside
Andrew S. Miner  Iowa State University
Min Wan  University of California at Riverside
Andy Jinqing Yu  University of California at Riverside
Publisher
ACM  New York, NY, USA
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ABSTRACT

We consider the stationary solution of large ergodic continuous-time Markov chains (CTMCs) with a finite state space S, i.e., the computation of π as solution of π · Q = 0 subject to ∑iεsπ[i] = 1, where Q coincides with transition rate matrix R except in its diagonal elements, Q[i, i] = - ∑jεs R [i, j].


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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V. Amoia, G. De Micheli, and M. Santomauro. Computer-oriented formulation of transition-rate matrices via Kronecker algebra. IEEE Trans. Rel., 30:123--132, June 1981.
 
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A. Srinivasan, T. Kam, S. Malik, and R. K. Bray-ton. Algorithms for discrete function manipulation. In Int. Conference on CAD, pages 92--95. IEEE Comp. Soc. Press, 1990.
 
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W. J. Stewart. Introduction to the Numerical Solution of Markov Chains. Princeton University Press, 1994.


Collaborative Colleagues:
Gianfranco Ciardo: colleagues
Andrew S. Miner: colleagues
Min Wan: colleagues
Andy Jinqing Yu: colleagues