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Stochastic Model Checking Rigorous Dependability Analysis Using Model Checking Techniques For Stochastic Systems International Autumn School Rocks 2012 Vahrn Italy October 2226 2012 Advanced Lectures 1st Edition Anne Remke

  • SKU: BELL-4935514
Stochastic Model Checking Rigorous Dependability Analysis Using Model Checking Techniques For Stochastic Systems International Autumn School Rocks 2012 Vahrn Italy October 2226 2012 Advanced Lectures 1st Edition Anne Remke
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Stochastic Model Checking Rigorous Dependability Analysis Using Model Checking Techniques For Stochastic Systems International Autumn School Rocks 2012 Vahrn Italy October 2226 2012 Advanced Lectures 1st Edition Anne Remke instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 6.7 MB
Pages: 281
Author: Anne Remke, Mariëlle Stoelinga (eds.)
ISBN: 9783662454886, 9783662454893, 3662454882, 3662454890
Language: English
Year: 2014
Edition: 1

Product desciption

Stochastic Model Checking Rigorous Dependability Analysis Using Model Checking Techniques For Stochastic Systems International Autumn School Rocks 2012 Vahrn Italy October 2226 2012 Advanced Lectures 1st Edition Anne Remke by Anne Remke, Mariëlle Stoelinga (eds.) 9783662454886, 9783662454893, 3662454882, 3662454890 instant download after payment.

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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