Description: Automatic Differentiation of Algorithms Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). From Simulation to Optimization Author(s): George Corliss, Christele Faure, Andreas Griewank, Laurent Hascoet, Uwe Naumann Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781461265436, 978-1461265436 Synopsis 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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Book Title: Automatic Differentiation of Algorithms
Number of Pages: 432 Pages
Language: English
Publication Name: Automatic Differentiation of Algorithms: from Simulation to Optimization
Publisher: Springer-Verlag New York Inc.
Publication Year: 2014
Subject: Computer Science
Item Height: 235 mm
Item Weight: 706 g
Type: Textbook
Author: Uwe Naumann, Christele Faure, Andreas Griewank, Laurent Hascoet, George Corliss
Item Width: 155 mm
Format: Paperback