Fourier Analysis of the Aggregation Based Algebraic Multigrid for Stochastic Matrices

We introduce new theoretical results on the convergence of the algebraic multigrid methods for obtaining stationary probability distribution vectors of stochastic matrices. We focus on sparse and nonsymmetric stochastic matrices. Our approach is based on the Fourier transform of the error propagatio...

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Published in:SIAM journal on matrix analysis and applications 2013-01, Vol.34 (4), p.1596-1610
Main Author: Pultarova, I
Format: Article
Language:English
Subjects:
Algebra
Applied mathematics
Fourier analysis
Fourier transforms
Methods
Probability distribution
Propagation
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description We introduce new theoretical results on the convergence of the algebraic multigrid methods for obtaining stationary probability distribution vectors of stochastic matrices. We focus on sparse and nonsymmetric stochastic matrices. Our approach is based on the Fourier transform of the error propagation operator. For some special classes of stochastic matrices it allows one to find the optimal parameters of the algorithm and to estimate the rate of convergence. Examples related to the computation of stable gene profiles are presented. [PUBLICATION ABSTRACT]
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subjects Algebra
Applied mathematics
Fourier analysis
Fourier transforms
Methods
Probability distribution
Propagation
title Fourier Analysis of the Aggregation Based Algebraic Multigrid for Stochastic Matrices
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