haku: @author Lal, R. / yhteensä: 14
viite: 13 / 14
Tekijä:Lal, R.
Bhat, U. N.
Otsikko:Reduced system algorithms for Markov chains.
Lehti:Management Science
1988 : OCT, VOL. 34:10, p. 1202-1220
Asiasana:MARKOV CHAINS
Kieli:eng
Tiivistelmä:A reduced system is a smaller system derived in the process of analyzing a larger system. In solving for steady state probabilities of a Markov chain, generally the solution can be found by first solving a reduced system of equations which is obtained by appropriately partitioning the transition probability or rate matrix. A Markow chain can be categorized as standard or nonstandard depending on the location of an invertible submatrix necessary for an efficient solution in a transition probability matrix. Algorithms for the determination of steady state probabilities are developed.
SCIMA tietueen numero: 63300
lisää koriin
SCIMA