Stochastic model checking [electronic resource] : rigorous dependability analysis using model checking techniques for stochastic systems : International Autumn School, ROCKS 2012, Vahrn, Italy, October 22-26, 2012 : advanced lectures / Anne Remke, Mariëlle Stoelinga (Eds.).
2014
QA274.2
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Title
Stochastic model checking [electronic resource] : rigorous dependability analysis using model checking techniques for stochastic systems : International Autumn School, ROCKS 2012, Vahrn, Italy, October 22-26, 2012 : advanced lectures / Anne Remke, Mariëlle Stoelinga (Eds.).
Meeting Name
ROCKS Autumn School (2012 : Varna, Italy)
ISBN
9783662454893 electronic book
3662454890 electronic book
9783662454886
3662454882
3662454890 electronic book
9783662454886
3662454882
Published
Berlin : Springer, [2014]
Copyright
©2014
Language
English
Description
1 online resource (xii, 281 pages) : illustrations.
Call Number
QA274.2
Dewey Decimal Classification
003/.76
Summary
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.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 15, 2014).
Series
Lecture notes in computer science ; 8453.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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