Central Library

Normal view MARC view ISBD view

Stochastic Model Checking [electronic resource] : International Autumn School, ROCKS 2012, Vahrn, Italy, October 22-26, 2012. Advanced Lectures / edited by Anne Remke, Mariëlle Stoelinga.

Contributor(s): Remke, Anne [editor.] | Stoelinga, Mariëlle [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Theoretical Computer Science and General Issues: 8453Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Edition: 1st ed. 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 | Compilers (Computer programs) | Computer science -- Mathematics | Mathematical statistics | Machine theory | Computer Science Logic and Foundations of Programming | Software Engineering | Compilers and Interpreters | Probability and Statistics in Computer Science | Formal Languages and Automata TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.0151 Online resources: Click here to access online
Contents:
The tree areas of stochastic models -- Abstraction techniques -- Stochastic model checking.
In: Springer Nature eBookSummary: 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.
    average rating: 0.0 (0 votes)
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.