Automatic Differentiation: Applications, Theory, and Implementations

✍ Scribed by H. Martin Bücker, George Corliss, Paul Hovland, Uwe Naumann, Boyana Norris

Publisher: Springer
Year: 2006
Tongue: English
Leaves: 370
Series: Lecture Notes in Computational Science and Engineering
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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