Automatic Differentiation of Algorithms
From Simulation to Optimization
Published on 8. January 2002
Book
Hardback
XXVII, 432 pages
978-0-387-95305-2 (ISBN)
Description
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.
More details
Edition
2002 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Professional/practitioner
Product notice
sewn/stitched
Cloth over boards
Illustrations
84 s/w Abbildungen
XXVII, 432 p. 84 illus.
Dimensions
Height: 243 mm
Width: 162 mm
Thickness: 27 mm
Weight
748 gr
ISBN-13
978-0-387-95305-2 (9780387953052)
DOI
10.1007/978-1-4613-0075-5
Schweitzer Classification
Other editions
Additional editions
George Corliss | Christele Faure | Andreas Griewank
Automatic Differentiation of Algorithms
From Simulation to Optimization
Book
01/2014
Springer
€53.49
Shipment within 15-20 days
George Corliss | Christele Faure | Andreas Griewank
Automatic Differentiation of Algorithms
From Simulation to Optimization
E-Book
11/2013
Springer
€53.49
Available for download
Content
Part titles: Invited Contributions.- Parameter Identification and Least Squares.- Applications in Ode's and Optimal Control.- Applications in PDE's.- Applications in Science and Engineering.- Maintaining and Enhancing Parallelism.- Exploiting Structure and Sparsity.- Space-Time Tradeoffs in the Reverse Mode.- Use of Second and Higher Derivatives.- Error Estimates and Inclusions.