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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 (5 chapters)

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

    Louis B. Rall

    Pages 1-14

  • Solutions of ODEs with Removable Singularities

    Harley Flanders

    Pages 35-45

  • Computation of Matrix Permanent with Automatic Differentiation

    Koichi Kubota

    Pages 67-76

  • Computing Sparse Jacobian Matrices Optimally

    Shahadat Hossain1, Trond Steihaug2

    Pages 77-87

  • Transforming Equation-Based Models in Process Engineering

    Christian H. Bischof, H. Martin Büucker, Wolfgang Marquardt, Monika Petera, Jutta Wyes

    Pages 189-198

Buy this book

eBook $149.00
price for USA (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 $199.00
price for USA
  • 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