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|a Stochastic Model Checking
|h [electronic resource] :
|b International Autumn School, ROCKS 2012, Vahrn, Italy, October 22-26, 2012. Advanced Lectures /
|c edited by Anne Remke, Mariëlle Stoelinga.
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|a 1st ed. 2014.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2014.
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|a XII, 281 p. 69 illus.
|b online resource.
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|a Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|v 8453
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|a The tree areas of stochastic models -- Abstraction techniques -- Stochastic model checking.
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|a 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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|a Compilers (Computer programs).
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|a Computer science-Mathematics.
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|a Mathematical statistics.
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|a Machine theory.
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|a Computer Science Logic and Foundations of Programming.
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|a Software Engineering.
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|a Compilers and Interpreters.
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|a Probability and Statistics in Computer Science.
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|a Formal Languages and Automata Theory.
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|a Remke, Anne.
|e editor.
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|a Stoelinga, Mariëlle.
|e editor.
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|z 9783662454886
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|a Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|v 8453
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|u https://doi.uam.elogim.com/10.1007/978-3-662-45489-3
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