Advances in Automatic Differentiation. Lecture Notes in Computational Science and Engineering, Volume 64.
Christian H. Bischof
,
Martin H. Bucker
,
Paul Hovland
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Jul 21, 2008
·
Englisch
·
E-Book
(365 Seiten)
Format
E-Book
Seiten
365
Sprache
Englisch
Veröffentlicht
Jul 21, 2008
Verlag
Springer
ISBN-10
1281862789
ISBN-13
9781281862785
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.