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.

"synopsis" may belong to another edition of this title.

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

Other Popular Editions of the Same Title

9781461265436: Automatic Differentiation of Algorithms: From Simulation to Optimization

Featured Edition

ISBN 10:  1461265436 ISBN 13:  9781461265436
Publisher: Springer, 2014
Softcover