Advances in Automatic Differentiation, volume 64 of Lecture Notes in Computational Science and Engineering.

Keywords

Authors

  • C. H. Bischof
  • H. M. Bücker
  • P. D. Hovland
  • U. Naumann
  • J. Utke
  • editors

Abstract

This collection is dedicated to the Fifth International Conference on Automatic Differentiation held from August 11-15, 2008 in Bonn, Germany, and 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.