On the Multilevel Solution Algorithm for Markov Chains

On the Multilevel Solution Algorithm for Markov Chains PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781722455200
Category :
Languages : en
Pages : 28

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Book Description
We discuss the recently introduced multilevel algorithm for the steady-state solution of Markov chains. The method is based on an aggregation principle which is well established in the literature and features a multiplicative coarse-level correction. Recursive application of the aggregation principle, which uses an operator-dependent coarsening, yields a multi-level method which has been shown experimentally to give results significantly faster than the typical methods currently in use. When cast as a multigrid-like method, the algorithm is seen to be a Galerkin-Full Approximation Scheme with a solution-dependent prolongation operator. Special properties of this prolongation lead to the cancellation of the computationally intensive terms of the coarse-level equations. Horton, Graham Langley Research Center NAS1-19480; RTOP 505-90-52-01...

A Multi-Level Solution Algorithm for Steady-State Markov Chains

A Multi-Level Solution Algorithm for Steady-State Markov Chains PDF Author: National Aeronautics and Space Adm Nasa
Publisher:
ISBN: 9781729056509
Category :
Languages : en
Pages : 36

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Book Description
A new iterative algorithm, the multi-level algorithm, for the numerical solution of steady state Markov chains is presented. The method utilizes a set of recursively coarsened representations of the original system to achieve accelerated convergence. It is motivated by multigrid methods, which are widely used for fast solution of partial differential equations. Initial results of numerical experiments are reported, showing significant reductions in computation time, often an order of magnitude or more, relative to the Gauss-Seidel and optimal SOR algorithms for a variety of test problems. The multi-level method is compared and contrasted with the iterative aggregation-disaggregation algorithm of Takahashi. Horton, Graham and Leutenegger, Scott T. Unspecified Center NAS1-19480; RTOP 505-90-52-01...