Automatic Differentiation: Applications, Theory, and Implementations: Applications, Theory and Implementations

by H. Martin Bücker (Editor), George Corliss (Editor), Paul Hovland (Editor)

This collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students will learn about advances in automatic differentiation techniques and strategies for the implementation of robust and powerful tools. Computational scientists and engineers will benefit from the discussion of applications, which provide insight into effective strategies for using automatic differentiation for design optimization, sensitivity analysis, and uncertainty quantification.

388 pages, Kindle Edition

Published February 3, 2006