Isbn: 9780521641708 - data refinement: model-oriented proof methods and their comparison (cambridge tracts in theoretical computer science) (4 Ergebnisse)

Sprache: Englisch
Verlag: Cambridge University Press, 1998
Serie: Buch 29 von 40 - Cambridge Tracts in Theoretical Computer Science
- Hardcover
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Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Sprache: Englisch
Verlag: Cambridge University Press, 1999
Serie: Buch 29 von 40 - Cambridge Tracts in Theoretical Computer Science
- Hardcover
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Zustand: New. In English.

Sprache: Englisch
Verlag: Cambridge University Press, 1999
Serie: Buch 29 von 40 - Cambridge Tracts in Theoretical Computer Science
- Hardcover
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Zustand: New. Graduate text in formal methods in computer science. Series: Cambridge Tracts in Theoretical Computer Science. Num Pages: 436 pages, 18 b/w illus. 93 exercises. BIC Classification: UN; UYA. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 29. Weight in Grams: 845. . 1998. hardcover. . . . . Books ship from the US and Ireland. …

Sprache: Englisch
Verlag: Cambridge University Press, 1999
Serie: Buch 29 von 40 - Cambridge Tracts in Theoretical Computer Science
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The goal of this book is to provide a comprehensive and systematic introduction to the important and highly applicable method of data refinement and the simulation methods used for proving its correctness. The authors concentrate in the first part on the general principles needed to prove data refinement correct. They begin with an explanation of the fundamental notions, showing that data refinement proofs reduce to proving simulation. The book's second part contains a detailed survey of important methods in this field, which are carefully analysed, and shown to be either incomplete, with counterexamples to their application, or to be always applicable whenever data refinement holds. This is shown by proving, for the first time, that all these methods can be described and analysed in terms of two simple notions: forward and backward simulation. The book is self-contained, going from advanced undergraduate level and taking the reader to the state of the art in methods for proving simulation.…