R.A. Brualdi, A.J. Hoffman
Linear Algebra and Its Applications
For Markov chains of M/G/1 type that are not skip-free to the left, the corresponding G matrix is shown to have special structure and be determined by its first block row. An algorithm that takes advantage of this structure is developed for computing G. For non-skip-free M/G/1 type Markov chains, the algorithm significantly reduces the computational complexity of calculating the G matrix, when compared with reblocking to a system that is skip-free to the left and then applying usual iteration schemes to find G. A similar algorithm to calculate the R matrix for G/M/1 type Markov chains that are not skip-free to the right is also described.
R.A. Brualdi, A.J. Hoffman
Linear Algebra and Its Applications
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009
Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
A.R. Conn, Nick Gould, et al.
Mathematics of Computation