Automatic Differentiation of Algorithms: From Simulation to Optimization
Language: English
Published by Springer-Verlag New York Inc., 2002
- Hardcover
- Used

Seller: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
AbeBooks seller since March 23, 2026
Condition: Used - Very good
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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.
Seller Inventory # CIN0387953051VG
- Title
- Automatic Differentiation of Algorithms: From Simulation to Optimization
- Author
- George Corliss
- Publisher
- Springer-Verlag New York Inc.
- Publication year
- 2002
- Condition
- Very Good
- Binding
- Hardback
- Language
- English
- ISBN 10
- 0387953051
- ISBN 13
- 9780387953052
Automatic Differentiation of Algorithms provides a comprehensive and authoritative survey of all recent developments, new techniques, and tools for AD use. The book covers all aspects of the subject: mathematics, scientific programming (i.e., use of adjoints in optimization) and implementation (i.e., memory management problems). A strong theme of the book is the relationships between AD tools and other software tools, such as compilers and parallelizers. A rich variety of significant applications are presented as well, including optimum-shape design problems, for which AD offers more efficient tools and techniques.
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World of Books Inc
Montgomery, IL, U.S.A.
AbeBooks seller since March 23, 2026
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