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Automatic Differentiation of Algorithms: From Simulation to Optimization
By Laurent Hascoet (editor), Uwe Naumann (editor), George Corliss (editor), Andreas Griewank (editor) and Christele Faure (editor)
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Bibliographic Detail
Publisher Springer-Verlag New York Inc
Publication date January 27, 2014
Binding Paperback
Book category Adult Non-Fiction
ISBN-13 9781461265436
ISBN-10 1461265436
Dimensions 0 by 6.20 by 9.30 in.
Original list price $129.00
Summaries and Reviews
Amazon.com description: Product Description: 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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Paperback
Book cover for 9781461265436
 
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With Christele Faure (other contributor), Andreas Griewank (other contributor), Laurent Hascoet (other contributor), George Corliss (other contributor) | from Springer-Verlag New York Inc (January 27, 2014)
9781461265436 | details & prices | List price $129.00
About: 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.

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