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Automatic Differentiationby Martin Bücker; George Corliss; Paul Hovland
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 149.00Covers the state of the art in automatic differentiation theory and practice. Intended for computational scientists and engineers, this book aims to provide insight into effective strategies for using automatic differentiation for design optimization, sensitivity analysis, and uncertainty quantification. more...
Advances in Automatic Differentiationby C. Bischof; H. Martin Bücker; Paul Hovland; Uwe Naumann; Jean Utke
Springer 2008; US$ 139.00This 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. more...
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