Lecture Notes in Computational Science and Engineering

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)

  • Perspectives on Automatic Differentiation: Past, Present, and Future?

    Rall, Louis B.

    Pages 1-14

  • Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities

    Werbos, Paul J.

    Pages 15-34

  • Solutions of ODEs with Removable Singularities

    Flanders, Harley

    Pages 35-45

  • Automatic Propagation of Uncertainties

    Christianson, Bruce (et al.)

    Pages 47-58

  • High-Order Representation of Poincarée Maps

    Grote, Johannes (et al.)

    Pages 59-66

Buy this book

eBook $169.00
price for USA in USD (gross)
  • ISBN 978-3-540-28438-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $219.00
price for USA in USD
  • ISBN 978-3-540-28403-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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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 and Tables
108 b/w illustrations
Topics