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Interactive Markov Chains

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Interactive Markov Chains Synopsis

Markov Chains are widely used as stochastic models to study a broad spectrum of system performance and dependability characteristics. This monograph is devoted to compositional specification and analysis of Markov chains.
Based on principles known from process algebra, the author systematically develops an algebra of interactive Markov chains. By presenting a number of distinguishing results, of both theoretical and practical nature, the author substantiates the claim that interactive Markov chains are more than just another formalism: Among other, an algebraic theory of interactive Markov chains is developed, devise algorithms to mechanize compositional aggregation are presented, and state spaces of several million states resulting from the study of an ordinary telefone system are analyzed.

About This Edition

ISBN: 9783540442615
Publication date:
Author: Holger Hermanns
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 217 pages
Series: Lecture Notes in Computer Science
Genres: Probability and statistics
Stochastics
Maths for computer scientists
Systems analysis and design
Software Engineering
Mathematical theory of computation

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