Automatic Differentiation of Algorithms: From Simulation to Optimization - Hardcover

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.

Edition details

• Publisher: Springer
• Publication date: 2002
• ISBN 10: 0387953051
• ISBN 13: 9780387953052
• Binding: Hardcover
• Language: English
• Number of pages: 459
• Editor: Corliss George, Faure Christele, Griewank Andreas, Hascoet Laurent, Naumann Uwe