Validation of Stochastic Systems: A Guide to Current Research / Edition 1

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More About This Textbook

Overview

This tutorial volume presents a coherent and well-balanced introduction to the validation of shastic 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 shastic systems, model checking of shastic systems, representing large state spaces, deductive verification of shastic systems.

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Product Details

  • ISBN-13: 9783540222651
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 10/5/2004
  • Series: Lecture Notes in Computer Science Series , #2925
  • Edition description: 2004
  • Edition number: 1
  • Pages: 472
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.97 (d)

Table of Contents

Modelling Shastic Systems.- Probabilistic Automata: System Types, Parallel Composition and Comparison.- Tutte le Algebre Insieme: Concepts, Discussions and Relations of Shastic Process Algebras with General Distributions.- An Overview of Probabilistic Process Algebras and Their Equivalences.- Model Checking of Shastic 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 Shastic 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 Shastic 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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