Automatic Differentiation of Algorithms

Automatic Differentiation of Algorithms
Author :
Publisher : Springer Science & Business Media
Total Pages : 466
Release :
ISBN-10 : 0387953051
ISBN-13 : 9780387953052
Rating : 4/5 (052 Downloads)

Book Synopsis Automatic Differentiation of Algorithms by : George Corliss

Download or read book Automatic Differentiation of Algorithms written by George Corliss and published by Springer Science & Business Media. This book was released on 2002-01-08 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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