Abstract
A Rayleigh-Ritz refinement technique is analyzed that is suitable for accelerating the convergence of iterative procedures for computing the stationary distribution of a nearly uncoupled stochastic matrix. In particular, for that case the error of the new approximation in terms of the previous error and the degree of coupling gets a special form. Cases where the refinement is promising are given as well. All the analysis requires the single assumption that the Markov chain under consideration is irreducible.
| Original language | English |
|---|---|
| Pages (from-to) | 287-293 |
| Number of pages | 7 |
| Journal | SIAM Journal on Matrix Analysis and Applications |
| Volume | 10 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jul 1989 |
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