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Validation of Stochastic Systems [electronic resource] : A Guide to Current Research /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 2925Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004Edition: 1st ed. 2004Description: VIII, 470 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540246114
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 519.2 23
LOC classification:
  • QA273.A1-274.9
Online resources:
Contents:
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.
In: Springer Nature eBook
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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.

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