Automatic Differentiation: Applications, Theory, and Implementations

  • Martin Bücker
  • George Corliss
  • Uwe Naumann
  • Paul Hovland
  • Boyana Norris
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 50)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Bruce Christianson, Maurice Cox
    Pages 47-58
  3. Johannes Grote, Martin Berz, Kyoko Makino
    Pages 59-66
  4. Shahadat Hossain1, Trond Steihaug2
    Pages 77-87
  5. Sebastian Schlenkrich1, Andrea Walther, Andreas Griewank
    Pages 89-98
  6. M. Tadjouddine, F. Bodman, J. D. Pryce, S. A. Forth
    Pages 111-120
  7. Jean Utke
    Pages 121-133
  8. Laurent Hascoëet, Mauricio Araya-Polo
    Pages 135-146
  9. Christian H. Bischof, H. Martin Büucker, Wolfgang Marquardt, Monika Petera, Jutta Wyes
    Pages 189-198
  10. Uwe Naumann, Jan Riehme
    Pages 159-169
  11. Valéerie Pascual, Laurent Hascoëet
    Pages 171-179
  12. Christian H. Bischof, H. Martin Büucker, Andre Vehreschild
    Pages 181-188
  13. Pavel Snopok, Carol Johnstone, Martin Berz
    Pages 199-209
  14. Eric Phipps, Richard Casey, John Guckenheimer
    Pages 211-223

About these proceedings

Keywords

Quasi-Newton method algorithms automatic differentiation calculus modeling optimization sensitivity analysis

Editors and affiliations

  • Martin Bücker
    • 1
  • George Corliss
    • 2
  • Uwe Naumann
    • 3
  • Paul Hovland
    • 4
  • Boyana Norris
    • 4
  1. 1.Institute for Scientific ComputingRWTH Aachen UniversityAachenGermany
  2. 2.Department of Electrical and Computer EngineeringMarquette UniversityMilwaukeeUSA
  3. 3.Software and Tools for Computational EngineeringRWTH Aachen UniversityAachenGermany
  4. 4.Mathematics and Computer Science DivisionArgonne National LaboratoryArgonneUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-28438-9
  • Copyright Information Springer 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-540-28403-1
  • Online ISBN 978-3-540-28438-3
  • Series Print ISSN 1439-7358
  • About this book