Advances in Automatic Differentiation

  • Christian H. Bischof
  • H. Martin Bücker
  • Paul Hovland
  • Uwe Naumann
  • Jean Utke
Conference proceedings

DOI: 10.1007/978-3-540-68942-3

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 64)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Uwe Naumann
    Pages 13-22
  3. Emmanuel M. Tadjouddine
    Pages 23-33
  4. Hany S. Abdel-Khalik, Paul D. Hovland, Andrew Lyons, Tracy E. Stover, Jean Utke
    Pages 55-65
  5. Bradley M. Bell, James V. Burke
    Pages 67-77
  6. Andrew Lyons, Jean Utke
    Pages 103-114
  7. Isabelle Charpentier, Claude Dal Cappello, Jean Utke
    Pages 127-137
  8. Isabelle Charpentier, Arnaud Lejeune, Michel Potier-Ferry
    Pages 139-149
  9. Christian Bischof, Niels Guertler, Andreas Kowarz, Andrea Walther
    Pages 163-173
  10. Jan Riehme, Andrea Walther, Jörg Stiller, Uwe Naumann
    Pages 175-185
  11. Michael Voßbeck, Ralf Giering, Thomas Kaminski
    Pages 187-197
  12. Valérie Pascual, Laurent Hascoët
    Pages 199-209
  13. H. Martin Bücker, Andre Vehreschild
    Pages 211-222

About these proceedings

Introduction

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.

Keywords

3D AES Computer MATLAB OpenMP algorithms automatic differentiation calculus construction development modeling optimization programming programming language sensitivity analysis

Editors and affiliations

  • Christian H. Bischof
    • 1
  • H. Martin Bücker
    • 1
  • Paul Hovland
    • 2
  • Uwe Naumann
    • 3
  • Jean Utke
    • 2
  1. 1.Institute for Scientific ComputingRWTH Aachen UniversityAachenGermany
  2. 2.Mathematics and Computer Science DivisionArgonne National LaboratoryArgonneUSA
  3. 3.Software and Tools for Computational EngineeringRWTH Aachen UniversityAachenGermany

Bibliographic information

  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-540-68935-5
  • Online ISBN 978-3-540-68942-3
  • Series Print ISSN 1439-7358