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

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

Christian H. Bischof , Martin H. Bucker , Paul Hovland
No ratings yet
Jul 21, 2008 · English · eBook (365 pages)
Add To Shelf

Rate this book


Export Book Journal

Book Details

Format eBook
Pages 365
Language English
Published Jul 21, 2008
Publisher Springer
ISBN-10 1281862789
ISBN-13 9781281862785

Description

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.
Add To Shelf

Rate this book


Export Book Journal