Item description for Automatic Differentiation: Applications, Theory, and Implementations (Lecture Notes in Computational Science and Engineering) by H. Martin Bücker...
This collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students will learn about advances in automatic differentiation techniques and strategies for the implementation of robust and powerful tools. Computational scientists and engineers will benefit from the discussion of applications, which provide insight into effective strategies for using automatic differentiation for design optimization, sensitivity analysis, and uncertainty quantification.
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Est. Packaging Dimensions: Length: 9.2" Width: 6.1" Height: 0.5" Weight: 1.05 lbs.
Release Date Jan 23, 2006
ISBN 3540284036 ISBN13 9783540284031
Availability 149 units. Availability accurate as of Mar 25, 2017 02:09.
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