Lecture Notes in Computational Science and Engineering
© 2006
Automatic Differentiation: Applications, Theory, and Implementations
Editors: Bücker, H.M., Corliss, G., Hovland, P., Naumann, U., Norris, B. (Eds.)
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- Table of contents (28 chapters)
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Perspectives on Automatic Differentiation: Past, Present, and Future?
Pages 1-14
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Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities
Pages 15-34
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Solutions of ODEs with Removable Singularities
Pages 35-45
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Automatic Propagation of Uncertainties
Pages 47-58
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High-Order Representation of Poincarée Maps
Pages 59-66
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Table of contents (28 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Automatic Differentiation: Applications, Theory, and Implementations
- Editors
-
- H. Martin Bücker
- George Corliss
- Paul Hovland
- Uwe Naumann
- Boyana Norris
- Series Title
- Lecture Notes in Computational Science and Engineering
- Series Volume
- 50
- Copyright
- 2006
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-540-28438-3
- DOI
- 10.1007/3-540-28438-9
- Softcover ISBN
- 978-3-540-28403-1
- Series ISSN
- 1439-7358
- Edition Number
- 1
- Number of Pages
- XVIII, 370
- Number of Illustrations
- 108 b/w illustrations
- Topics
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