Automatic Differentiation of Algorithms
by George Corliss (Editor)Christele Faure (Editor)Andreas Griewank (Editor)Laurent Hascoet (Editor)Uwe Naumann (Editor)
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ISBN13: 9781461300755
|9781461300755
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Overview
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.
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.
| ISBN-13 | 9781461300755 |
|---|---|
| ISBN-10 | 1461300754 |
| List Price | $129.00 |
| Format | - |
|---|---|
| Language | English |
| Pages | 432 pages |
| Publisher | |
| Published On | 2013-11-21 |
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