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OverviewThis collection covers advances in automatic differentiation theory and practice. Computer scientists and mathematicians will learn about recent developments in automatic differentiation theory as well as mechanisms for the construction of robust and powerful automatic differentiation tools. Computational scientists and engineers will benefit from the discussion of various applications, which provide insight into effective strategies for using automatic differentiation for inverse problems and design optimization. Full Product DetailsAuthor: Christian H Bischof , H Martin B Cker , Paul HovlandPublisher: Springer Imprint: Springer Dimensions: Width: 23.40cm , Height: 2.00cm , Length: 15.60cm Weight: 0.540kg ISBN: 9783540864653ISBN 10: 3540864652 Pages: 388 Publication Date: 03 December 2008 Audience: General/trade , General Format: Undefined Publisher's Status: Unknown Availability: Out of stock Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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