Advances in Automatic Differentiation |
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| Editor:
| Bischof, Christian H.
Bucker, Martin H.
Hovland, Paul
Naumann, Uwe
Utke, Jean |
| Series title: | Lecture Notes in Computational Science and Engineering Ser. |
| ISBN: | 978-1-281-86278-5 |
| Publication Date: | Mar 2009 |
| Publisher: | Springer
|
| Book Format: | Ebook |
| List Price: | USD $318.00 |
Book 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...
More DescriptionThis 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.