Lecture Notes in Computational Science and Engineering

Advances in Automatic Differentiation

Editors: Bischof, C.H., Bücker, H.M., Hovland, P., Naumann, U., Utke, J. (Eds.)

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About this book

This collection covers advances in automatic differentiation theory and practice. Computer scientists and mathematicians will learn about recent developments in automatic differentiation theory as well as mechanisms for the construction of robust and powerful automatic differentiation tools. Computational scientists and engineers will benefit from the discussion of various applications, which provide insight into effective strategies for using automatic differentiation for inverse problems and design optimization.

Table of contents (31 chapters)

  • Reverse Automatic Differentiation of Linear Multistep Methods

    Sandu, Adrian

    Pages 1-12

  • Call Tree Reversal is NP-Complete

    Naumann, Uwe

    Pages 13-22

  • On Formal Certification of AD Transformations

    Tadjouddine, Emmanuel M.

    Pages 23-33

  • Collected Matrix Derivative Results for Forward and Reverse Mode Algorithmic Differentiation

    Giles, Mike B.

    Pages 35-44

  • A Modification of Weeks’ Method for Numerical Inversion of the Laplace Transform in the Real Case Based on Automatic Differentiation

    Cuomo, Salvatore (et al.)

    Pages 45-54

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-540-68942-3
  • 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 978-3-540-68935-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Advances in Automatic Differentiation
Editors
  • Christian H. Bischof
  • H. Martin Bücker
  • Paul Hovland
  • Uwe Naumann
  • Jean Utke
Series Title
Lecture Notes in Computational Science and Engineering
Series Volume
64
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-68942-3
DOI
10.1007/978-3-540-68942-3
Softcover ISBN
978-3-540-68935-5
Series ISSN
1439-7358
Edition Number
1
Number of Pages
XVIII, 368
Number of Illustrations and Tables
111 b/w illustrations
Topics