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Stochastic Model Checking. Rigorous Dependability Analysis Using Model Checking Techniques for Stochastic Systems [electronic resource] :International Autumn School, ROCKS 2012, Vahrn, Italy, October 22-26, 2012, Advanced Lectures /

Contributor(s): Remke, Anne [editor.] | Stoelinga, Mariëlle [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 8453Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.Description: XII, 281 p. 69 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662454893.Subject(s): Computer science | Software engineering | Programming languages (Electronic computers) | Computer logic | Mathematical logic | Mathematical statistics | Computer Science | Logics and Meanings of Programs | Software Engineering | Programming Languages, Compilers, Interpreters | Probability and Statistics in Computer Science | Mathematical Logic and Formal LanguagesOnline resources: Click here to access online
Contents:
The tree areas of stochastic models -- Abstraction techniques -- Stochastic model checking.
In: Springer eBooksSummary: The use of stochastic models in computer science is wide spread, for instance in performance modeling, analysis of randomized algorithms and communication protocols which form the structure of the Internet. Stochastic model checking is an important field in stochastic analysis. It has rapidly gained popularity, due to its powerful and systematic methods to model and analyze stochastic systems. This book presents 7 tutorial lectures given by leading scientists at the ROCKS Autumn School on Stochastic Model Checking, held in Vahrn, Italy, in October 2012. The 7 chapters of this tutorial went through two rounds of reviewing and improvement and are summarizing the state-of-the-art in the field, centered around the tree areas of stochastic models, abstraction techniques and stochastic model checking.
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The tree areas of stochastic models -- Abstraction techniques -- Stochastic model checking.

The use of stochastic models in computer science is wide spread, for instance in performance modeling, analysis of randomized algorithms and communication protocols which form the structure of the Internet. Stochastic model checking is an important field in stochastic analysis. It has rapidly gained popularity, due to its powerful and systematic methods to model and analyze stochastic systems. This book presents 7 tutorial lectures given by leading scientists at the ROCKS Autumn School on Stochastic Model Checking, held in Vahrn, Italy, in October 2012. The 7 chapters of this tutorial went through two rounds of reviewing and improvement and are summarizing the state-of-the-art in the field, centered around the tree areas of stochastic models, abstraction techniques and stochastic model checking.

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