Automatic Differentiation of Algorithms: From Simulation to Optimization - Tapa blanda

 
9781461265436: Automatic Differentiation of Algorithms: From Simulation to Optimization

Sinopsis

A state-of-the-art survey book focusing upon the key applications and relationships and synergies between automatic differentiation (AD) tools and other software tools, such as compilers and parallelizers. Essential reading for practitioners and professionals in scientific computing, as well as for computer engineers.

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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.

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Otras ediciones populares con el mismo título

9780387953052: Automatic Differentiation of Algorithms: From Simulation to Optimization

Edición Destacada

ISBN 10:  0387953051 ISBN 13:  9780387953052
Editorial: Springer, 2002
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