1 option
Stochastic Model Checking : International Autumn School, ROCKS 2012, Vahrn, Italy, October 22-26, 2012. Advanced Lectures / edited by Anne Remke, Mariëlle Stoelinga.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 8453.
- Theoretical Computer Science and General Issues ; 8453
- Language:
- English
- Subjects (All):
- Computer logic.
- Software engineering.
- Programming languages (Electronic computers).
- Mathematical statistics.
- Logic, Symbolic and mathematical.
- Logics and Meanings of Programs.
- Software Engineering.
- Programming Languages, Compilers, Interpreters.
- Probability and Statistics in Computer Science.
- Mathematical Logic and Formal Languages.
- Local Subjects:
- Logics and Meanings of Programs.
- Software Engineering.
- Programming Languages, Compilers, Interpreters.
- Probability and Statistics in Computer Science.
- Mathematical Logic and Formal Languages.
- Physical Description:
- 1 online resource (XII, 281 pages) : 69 illustrations.
- Edition:
- First edition 2014.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
- System Details:
- text file PDF
- 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.
- Contents:
- The tree areas of stochastic models
- Abstraction techniques
- Stochastic model checking.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-662-45489-3
- 9783662454893
- Access Restriction:
- Restricted for use by site license.
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