ISBN: 9780521834490 - rippling: meta-level guidance for mathematical reasoning (cambridge tracts in theoretical computer science) (cambridge tracts in theoretical computer science, 56, band 56) (12 Ergebnisse)

Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: Sehr gut. XIV, 202 Seiten, Cambridge Tracts in Theoretical Computer Science, Band 56. Zust: Gutes Exemplar. Mit Vorbesitzereintrag. Schneller Versand und persönlicher Service - jedes Buch händisch geprüft und beschrieben - aus unserem Familienbetrieb seit über 25 Jahren. Eine Rechnung mit ausgewiesener Mehrwertsteuer liegt jeder unserer Lieferungen bei. Wir versenden mit der deutschen Post. Sprache: Englisch Gewicht in Gramm: 468 gebundene Ausgabe gebundene Ausgabe.…

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Zustand: New. A unique, systematic and comprehensive introduction to rippling and to the wider subject of automated inductive theorem proving. Series: Cambridge Tracts in Theoretical Computer Science. Num Pages: 216 pages, 1 b/w illus. 10 colour illus. BIC Classification: PBCD. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 19. Weight in Grams: 475. . 2005. Illustrated. hardcover. . . . . …

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Hardback. Zustand: New. Rippling is a radically new technique for the automation of mathematical reasoning. It is widely applicable whenever a goal is to be proved from one or more syntactically similar givens. It was originally developed for inductive proofs, where the goal was the induction conclusion and the givens were the induction hypotheses. It has proved to be applicable to a much wider class of tasks, from summing series via analysis to general equational reasoning. The application to induction has especially important practical implications in the building of dependable IT systems, and provides solutions to issues such as the problem of combinatorial explosion. Rippling is the first of many new search control techniques based on formula annotation; some additional annotated reasoning techniques are also described here. This systematic and comprehensive introduction to rippling, and to the wider subject of automated inductive theorem proving, will be welcomed by researchers and graduate students alike.…

Zustand: New. A unique, systematic and comprehensive introduction to rippling and to the wider subject of automated inductive theorem proving. Series: Cambridge Tracts in Theoretical Computer Science. Num Pages: 216 pages, 1 b/w illus. 10 colour illus. BIC Classification: PBCD. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 19. Weight in Grams: 475. . 2005. Illustrated. hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Zustand: Brand New. 1st edition. 202 pages. 9.00x6.00x0.50 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Rippling is a radically new technique for the automation of mathematical reasoning. It is widely applicable whenever a goal is to be proved from one or more syntactically similar givens. It was originally developed for inductive proofs, where the goal was the induction conclusion and the givens were the induction hypotheses. It has proved to be applicable to a much wider class of tasks, from summing series via analysis to general equational reasoning. The application to induction has especially important practical implications in the building of dependable IT systems, and provides solutions to issues such as the problem of combinatorial explosion. Rippling is the first of many new search control techniques based on formula annotation; some additional annotated reasoning techniques are also described here. This systematic and comprehensive introduction to rippling, and to the wider subject of automated inductive theorem proving, will be welcomed by researchers and graduate students alike.…

Hardback. Zustand: New. Rippling is a radically new technique for the automation of mathematical reasoning. It is widely applicable whenever a goal is to be proved from one or more syntactically similar givens. It was originally developed for inductive proofs, where the goal was the induction conclusion and the givens were the induction hypotheses. It has proved to be applicable to a much wider class of tasks, from summing series via analysis to general equational reasoning. The application to induction has especially important practical implications in the building of dependable IT systems, and provides solutions to issues such as the problem of combinatorial explosion. Rippling is the first of many new search control techniques based on formula annotation; some additional annotated reasoning techniques are also described here. This systematic and comprehensive introduction to rippling, and to the wider subject of automated inductive theorem proving, will be welcomed by researchers and graduate students alike.…

Zustand: gut. 2005. Rippling: Meta-Level Guidance for Mathematical Reasoning In englischer Sprache. pages.