Automatic Differentiation Of Algorithms: From Simulation To Optimization

Corliss G.

ISBN 10: 0387953051 / ISBN 13: 9780387953052

Verlag: Springer, 2002

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Inhaltsangabe:

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.

Reseña del editor: 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.

Bibliografische Details

Titel: Automatic Differentiation Of Algorithms: ...
Verlag: Springer
Erscheinungsdatum: 2002
Einband: Hardcover
Zustand: Brand New