1 option
Stochastic Model Checking : International Autumn School, ROCKS 2012, Vahrn, Italy, October 22-26, 2012. Advanced Lectures / edited by Anne Remke, Mariëlle Stoelinga.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 8453
- Theoretical Computer Science and General Issues, 2512-2029 ; 8453
- Language:
- English
- Subjects (All):
- 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 Theory.
- Local Subjects:
- Computer Science Logic and Foundations of Programming.
- Software Engineering.
- Compilers and Interpreters.
- Probability and Statistics in Computer Science.
- Formal Languages and Automata Theory.
- Physical Description:
- 1 online resource (XII, 281 pages) : 69 illustrations
- Edition:
- 1st ed. 2014.
- Contained In:
- Springer Nature eBook
- 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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