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.)
Free PreviewBuy this book
- Table of contents (28 chapters)
-
-
Perspectives on Automatic Differentiation: Past, Present, and Future?
Pages 1-14
-
Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities
Pages 15-34
-
Solutions of ODEs with Removable Singularities
Pages 35-45
-
Automatic Propagation of Uncertainties
Pages 47-58
-
High-Order Representation of Poincarée Maps
Pages 59-66
-
Table of contents (28 chapters)
Recommended for you
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
