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 · 英語 · 電子書 (365 頁數)
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書籍詳情

格式 電子書
頁數 365
語言 英語
已出版 Jul 21, 2008
出版商 Springer
ISBN-10 1281862789
ISBN-13 9781281862785

描述

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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