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Automatic Differentiation of Algorithms: From Simulation to Optimization

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Automatic Differentiation of Algorithms: From Simulation to Optimization - Corliss, George (Editor), and Faure, Christele (Editor), and Griewank, Andreas (Editor)
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Automatic Differentiation (AD) is a maturing computational technology and has become a mainstream tool used by practicing scientists and computer engineers. The rapid advance of hardware computing power and AD tools has enabled practitioners to quickly generate derivative-enhanced versions of their code for a broad range of applications in applied research and development. Automatic Differentiation of Algorithms provides a comprehensive and authoritative survey of all recent developments, new techniques, and tools for AD ...

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Automatic Differentiation of Algorithms: From Simulation to Optimization 2014, Springer-Verlag New York Inc., New York, NY

ISBN-13: 9781461265436

Paperback

 Automatic Differentiation of Algorithms: From Simulation to Optimization 2002, Springer, New York, NY

ISBN-13: 9780387953052

2002 edition

Hardcover
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