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Springer Random Walks and Diffusions on Graphs and Databases: An Introduction: 10 (Springer Series in Synergetics, 10)

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Description

Most networks and databases that humans have to deal with contain large, albeit finite number of units. Their structure, for maintaining functional consistency of the components, is essentially not random and calls for a precise quantitative description of relations between nodes (or data units) and all network components. This book is an introduction, for both graduate students and newcomers to the field, to the theory of graphs and random walks on such graphs. The methods based on random walks and diffusions for exploring the structure of finite connected graphs and databases are reviewed (Markov chain analysis). This provides the necessary basis for consistently discussing a number of applications such diverse as electric resistance networks, estimation of land prices, urban planning, linguistic databases, music, and gene expression regulatory networks.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 May 2011
Listed Since
04 February 2011

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