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Validations of Stochastic Systems: A Guide to Current Research by Baier, Christel, author, Haverkort, Boudewijn R, Contributor; Hermanns, Holger, Contributor instant download

  • SKU: EBN-238763982
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Instant download (eBook) Validations of Stochastic Systems: A Guide to Current Research after payment.
Authors:Baier, Christel, author, Haverkort, Boudewijn R, Contributor; Hermanns, Holger, Contributor
Pages:updating ...
Year:2004
Edition:1 edition
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Language:english
File Size:27.92 MB
Format:pdf
Categories: Ebooks

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Validations of Stochastic Systems: A Guide to Current Research by Baier, Christel, author, Haverkort, Boudewijn R, Contributor; Hermanns, Holger, Contributor instant download

1 online resource (VIII, 470 pages), This tutorial volume presents a coherent and well-balanced introduction to the validation of stochastic systems; it is based on a GI/Dagstuhl research seminar. Supervised by the seminar organizers and volume editors, established researchers in the area as well as graduate students put together a collection of articles competently covering all relevant issues in the area. The lectures are organized in topical sections on: modeling stochastic systems, model checking of stochastic systems, representing large state spaces, deductive verification of stochastic systems, Modelling Stochastic Systems -- Probabilistic Automata: System Types, Parallel Composition and Comparison -- Tutte le Algebre Insieme: Concepts, Discussions and Relations of Stochastic Process Algebras with General Distributions -- An Overview of Probabilistic Process Algebras and Their Equivalences -- Model Checking of Stochastic Systems -- Verifying Qualitative Properties of Probabilistic Programs -- On Probabilistic Computation Tree Logic -- Model Checking for Probabilistic Timed Systems -- Representing Large State Spaces -- Serial Disk-Based Analysis of Large Stochastic Models -- Kronecker Based Matrix Representations for Large Markov Models -- Symbolic Representations and Analysis of Large Probabilistic Systems -- Probabilistic Methods in State Space Analysis -- Deductive Verification of Stochastic Systems -- Analysing Randomized Distributed Algorithms -- An Abstraction Framework for Mixed Non-deterministic and Probabilistic Systems -- The Verification of Probabilistic Lossy Channel Systems, Includes bibliographical references and index
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