Automatic Differentiation of Algorithms: From Simulation to Optimization

Automatic Differentiation of Algorithms: From Simulation to Optimization

G. Corliss , Christele Faure , Andreas Griewank
まだ評価がありません
Jan 8, 2002 · 英語 · ハードカバー (459 ページ)
棚に追加

この本を評価する


ブックジャーナルをエクスポート

本の詳細

形式 ハードカバー
ページ数 459
言語 英語
公開されました Jan 8, 2002
出版社 Springer
ISBN-10 0387953051
ISBN-13 9780387953052

説明

A survey book focusing on the key relationships and synergies between automatic differentiation (AD) tools and other software tools, such as compilers and parallelizers, as well as their applications. The key objective is to survey the field and present the recent developments. In doing so the topics covered shed light on a variety of perspectives. They reflect the mathematical aspects, such as the differentiation of iterative processes, and the analysis of nonsmooth code. They cover the scientific programming aspects, such as the use of adjoints in optimization and the propagation of rounding errors. They also cover "implementation" problems.
棚に追加

この本を評価する


ブックジャーナルをエクスポート