On the Utility of the Multi-Level Algorithm for the Solution of Nearly Completely Decomposable Markov Chains
Abstract
Recently the Multi-Level algorithm was introduced as a general purpose solver for the solution of steady state Markov chains. In this paper we consider the performance of the Multi-Level algorithm for solving Nearly Completely Decomposable (NCD) Markov chains, for which special-purpose interactive aggregation/disaggregation algorithms such as the Koury-McAllister- Stewart (KMS) method have been developed that can exploit the decomposability of the Markov chain. We present experimental results indicating that the general- purpose Multi-Level algorithm is competitive, and can be significantly faster than the special-purpose KMS algorithm when Gauss-Seidel and Gaussian Elimination are used for solving the individual blocks. Markov chains, Multi- level, Numerical solution.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1994
- Accession Number
- ADA284423
Entities
People
- Graham Horton
- Scott T. Leutenegger