Advances in Automatic Differentiation. Lecture Notes in Computational Science and Engineering, Volume 64.

Advances in Automatic Differentiation. Lecture Notes in Computational Science and Engineering, Volume 64.

Christian H. Bischof , Martin H. Bucker , Paul Hovland
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Jul 21, 2008 · Английский · электронная книга (365 страницы)
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Детали книги

Формат электронная книга
Страницы 365
Язык Английский
Опубликовано Jul 21, 2008
Издатель Springer
ISBN-10 1281862789
ISBN-13 9781281862785

Описание

This 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.
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