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OverviewRippling 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. Full Product DetailsAuthor: Alan Bundy (University of Edinburgh) , David Basin (ETH Zentrum, Switzerland) , Dieter Hutter , Andrew Ireland (Heriot-Watt University, Edinburgh)Publisher: Cambridge University Press Imprint: Cambridge University Press Edition: annotated edition ISBN: 9781280458682ISBN 10: 1280458682 Pages: 202 Publication Date: 01 January 2005 Audience: General/trade , General Format: Undefined Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |