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OverviewThis text overviews several stochastic adaptive search methods for global optimization and provides analytical results regarding their performance and complexity. It develops a class of hit-and-run algorithms that are theoretically motivated and do not require fine-tuning of parameters. Several engineering global optimization problems are summarized to demonstrate the kinds of practical problems that are now within reach. Full Product DetailsAuthor: Z.B. ZabinskyPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: 2003 ed. Volume: 72 Dimensions: Width: 15.60cm , Height: 1.50cm , Length: 23.40cm Weight: 1.160kg ISBN: 9781402075261ISBN 10: 140207526 Pages: 224 Publication Date: 30 September 2003 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |