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Numerical iterative methods for Markovian dependability and performability models: new results and a comparison

Autor
Suñe, V.; Domingo, J.; Carrasco, J.
Tipus d'activitat
Article en revista
Revista
Performance evaluation
Data de publicació
2000-02
Volum
39
Número
1-4
Pàgina inicial
99
Pàgina final
125
Repositori
http://hdl.handle.net/2117/21068 Obrir en finestra nova
Resum
In this paper we deal with iterative numerical methods to solve linear systems arising in continuous-time Markov chain (CTMC) models. We develop an algorithm to dynamically tune the relaxation parameter of the successive over-relaxation method. We give a sufficient condition for the Gauss-Seidel method to converge when computing the steady-state probability vector of a finite irreducible CTMC, an a suffient condition for the Generalized Minimal Residual projection method not to converge to the t...
Citació
Suñe, V.; Domingo, J.; Carrasco, J. Numerical iterative methods for Markovian dependability and performability models: new results and a comparison. "Performance evaluation", Febrer 2000, vol. 39, núm. 1-4, p. 99-125.
Grup de recerca
QINE - Disseny de Baix Consum, Test, Verificació i Circuits Integrats de Seguretat

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