A quadratically convergent Bernoulli-like algorithm for solving matrix polynomial equations in Markov chains
Electronic transactions on numerical analysis, Tome 17 (2004), pp. 151-167
A quadratically convergent algorithm is developed for solving matrix polynomial equations arising in M/G/1 and G/M/1 type Markov chains. The algorithm is based on the computation of generalized block eigenvalues/vectors of a suitable pair of matrices by means of a Bernoulli-like method. The use of the displacement structure allows one to reduce the computational cost per step. A shifting technique speeds up the rate of convergence.
Classification : 15A24, 60J22, 65F15
Keywords: polynomial matrix equations, Markov chains, generalized eigenvalues/eigenvectors, displacement structure
@article{ETNA_2004__17__a5,
     author = {He,  C. and Meini,  B. and Rhee,  N.H. and Sohraby,  K.},
     title = {A quadratically convergent {Bernoulli-like} algorithm for solving matrix polynomial equations in {Markov} chains},
     journal = {Electronic transactions on numerical analysis},
     pages = {151--167},
     year = {2004},
     volume = {17},
     zbl = {1065.65006},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/ETNA_2004__17__a5/}
}
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%A Sohraby,  K.
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%D 2004
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He,  C.; Meini,  B.; Rhee,  N.H.; Sohraby,  K. A quadratically convergent Bernoulli-like algorithm for solving matrix polynomial equations in Markov chains. Electronic transactions on numerical analysis, Tome 17 (2004), pp. 151-167. http://geodesic.mathdoc.fr/item/ETNA_2004__17__a5/