Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639094727 ISBN 13: 9783639094725
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Language: English
Published by VDM Verlag Dr. M�ller 2008-11-07, 2008
ISBN 10: 3639094727 ISBN 13: 9783639094725
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Language: English
Published by VDM Verlag Dr. Müller, 2013
ISBN 10: 3639094727 ISBN 13: 9783639094725
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Taschenbuch. Condition: Neu. Probabilistic Analysis using Theorem Proving | A Higher-order Logic Based Approach | Osman Hasan | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | VDM Verlag Dr. Müller | EAN 9783639094725 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639094727 ISBN 13: 9783639094725
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Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639094727 ISBN 13: 9783639094725
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Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639094727 ISBN 13: 9783639094725
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Language: English
Published by VDM Verlag Dr. Müller, 2013
ISBN 10: 3639094727 ISBN 13: 9783639094725
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Traditionally, computer simulation techniques areused to perform probabilistic analysis. However, theyprovide less accurate results and cannot handlelarge-scale problems due to their enormous CPU timerequirements. Recently, a signifi.
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639094727 ISBN 13: 9783639094725
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Traditionally, computer simulation techniques areused to perform probabilistic analysis. However, theyprovide less accurate results and cannot handlelarge-scale problems due to their enormous CPU timerequirements. Recently, a significant amount offormalization has been done in higher-order logicthat allows us to conduct precise probabilisticanalysis using theorem proving and thus overcome thelimitations of the simulation based probabilisticanalysis approach. Some major contributions includethe formalization of both discrete and continuousrandom variables and the verification of corresponding probabilistic and statisticalproperties. This book presents a concise descriptionof the infrastructures behind these capabilities andtheir utilization to conduct the probabilisticanalysis of real-world systems. The case studies ofthe round-off error of a digital processor, theCoupon Collector''s problem and the Stop-and-Waitprotocol are used to illustrate the proposed analysisapproach. Designed as an independent research tool, the bookpresents a well-thought-out treatment of a rapidlyemerging multidisciplinary field across Mathematics,Computer Science and Engineering.