On an SVD-based algorithm for identifying meta-stable states of Markov chains

zbMath1321.65056MaRDI QIDQ2447342

Ryan M. Tifenbach

Publication date: 25 April 2014

Published in: ETNA. Electronic Transactions on Numerical Analysis (Search for Journal in Brave)

Full work available at URL: http://www.emis.de/journals/ETNA/vol.38.2011/pp17-33.dir/pp17-33.html

zbMATH Keywords

Markov chainssingular value decompositionconformation dynamics

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Eigenvalues, singular values, and eigenvectors (15A18) Stochastic matrices (15B51)

Related Items (3)

Clustering behaviour in Markov chains with eigenvalues close to one ⋮ Clusters in Markov chains via singular vectors of Laplacian matrices ⋮ Spectral clustering for non-reversible Markov chains

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