Advances in Automatic Differentiation
Adrian Sandu (auth.), Christian H. Bischof, H. Martin Bücker, Paul Hovland, Uwe Naumann, Jean Utke (eds.)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.
年:
2008
出版:
1
出版社:
Springer-Verlag Berlin Heidelberg
语言:
english
页:
368
ISBN 10:
3540689427
ISBN 13:
9783540689423
系列:
Lecture Notes in Computational Science and Engineering 64
文件:
PDF, 6.87 MB
IPFS:
,
english, 2008
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