Items related to Automatic Differentiation of Algorithms: From Simulation...

Automatic Differentiation of Algorithms: From Simulation to Optimization - Hardcover

 
9780387953052: Automatic Differentiation of Algorithms: From Simulation to Optimization
Hardcover
ISBN 10: 0387953051 ISBN 13: 9780387953052
Publisher: Springer, 2002

Synopsis

Automatic Differentiation (AD) is a maturing computational technology and has become a mainstream tool used by practicing scientists and computer engineers. The rapid advance of hardware computing power and AD tools has enabled practitioners to quickly generate derivative-enhanced versions of their code for a broad range of applications in applied research and development.
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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Publisher
Springer
Publication date
2002
Language
English
ISBN 10 
0387953051
ISBN 13 
9780387953052
Binding
Hardcover
Number of pages
459
Editor
Corliss George, Faure Christele, Griewank Andreas, Hascoet Laurent, Naumann Uwe