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Abstraction, Refinement and Proof for Probabilistic Systems - Annabelle McIver

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        Présentation Abstraction, Refinement And Proof For Probabilistic Systems de Annabelle McIver Format Broché

         - Livre Loisirs

        Livre Loisirs - Annabelle Mciver - 01/11/2010 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Annabelle McIver - Charles Carroll Morgan
      • Editeur : Springer Us, New York, N.Y.
      • Langue : Anglais
      • Parution : 01/11/2010
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 404
      • Expédition : 610
      • Dimensions : 23.5 x 15.5 x 2.2
      • ISBN : 9781441923127



      • Résumé :
        This book integrates coverage of random/probabilistic algorithms, assertion-based program reasoning, and refinement programming models, providing a highly focused survey on probabilistic program semantics. It illustrates by example the typical steps necessary in computer science to build a mathematical model of any programming paradigm, addressing an essential foundation topic for modern sequential programming methodology....

        Biographie:
        M?rio S. Alvim is assistant professor in the Computer Science Department of the Universidade Federal de Minas Gerais in Belo Horizonte. His current research interests include formal methods for security and pri?vacy, as well as applications of quantitative information flow to fields beyond security. Kostas Chatzikokolakis is associate professor at the University of Athens. He works on security and pri?vacy, in particular quantitative information flow, location privacy, and differential privacy. Annabelle McIver is professor in the Dept. of Computing at Macquarie University in Sydney. She works on mathematical techniques for the verification of probabilistic systems. Carroll Morgan is professor in the School of Engineering and Computer Science at the University of New South Wales, and is affiliated with the Trustworthy Systems Group of CSIRO's Data61. His current interests are quantitative information flow, program derivation (including security), and proved correctness of multi?core operating-system kernels. Catuscia Palamidessi is director of research at Inria Saclay. She is the leader of COM?TE, a research team in the Inria and ?cole Polytechnique shared lab. Her main research interests are quantitative information flow, privacy, and concurrency theory. Geoffrey Smith is professor in the School of Computing and Information Sciences of Florida International University in Miami. His current research interests include quantitative information flow and its applications to cryptography....

        Sommaire:
        M?rio S. Alvim is assistant professor in the Computer Science Department of the Universidade Federal de Minas Gerais in Belo Horizonte. His current research interests include formal methods for security and pri?vacy, as well as applications of quantitative information flow to fields beyond security. Kostas Chatzikokolakis is associate professor at the University of Athens. He works on security and pri?vacy, in particular quantitative information flow, location privacy, and differential privacy. Annabelle McIver is professor in the Dept. of Computing at Macquarie University in Sydney. She works on mathematical techniques for the verification of probabilistic systems. Carroll Morgan is professor in the School of Engineering and Computer Science at the University of New South Wales, and is affiliated with the Trustworthy Systems Group of CSIRO's Data61. His current interests are quantitative information flow, program derivation (including security), and proved correctness of multi?core operating-system kernels. Catuscia Palamidessi is director of research at Inria Saclay. She is the leader of COM?TE, a research team in the Inria and ?cole Polytechnique shared lab. Her main research interests are quantitative information flow, privacy, and concurrency theory. Geoffrey Smith is professor in the School of Computing and Information Sciences of Florida International University in Miami. His current research interests include quantitative information flow and its applications to cryptography....

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