Automatic Differentiation of Algorithms: from Simulation to Optimization - G Corliss - Books - Springer-Verlag New York Inc. - 9780387953052 - January 8, 2002
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G Corliss
Automatic Differentiation of Algorithms: from Simulation to Optimization

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Focuses 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. This title sheds light on a variety of perspectives that reflect the mathematical aspects, such as the differentiation of iterative processes.

432 pages, 84 black & white illustrations, biography

Media Books     Hardcover Book   (Book with hard spine and cover)
Released January 8, 2002
ISBN13 9780387953052
Publishers Springer-Verlag New York Inc.
Pages 432
Dimensions 178 × 254 × 25 mm   ·   748 g
Language English  
Editor Corliss, George
Editor Faure, Christele
Editor Griewank, Andreas
Editor Hascoet, Laurent
Editor Naumann, Uwe

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