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