Automatic differentiation of algorithms : from simulation to optimazation / George Corliss, Christèle Faure, Andreas Griewank, Laurent Hascoët, Uwe Naumann, editors.
Automatic Differentiation (AD) is a maturing computational technology and has become a mainstream tool used by practicing scientists and computer engineers. The rapid advance of hardware computing power and AD tools has enabled practitioners to quickly generate derivative-enhanced versions of their...
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| Format: | Conference Proceeding eBook |
| Language: | English |
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New York :
Springer,
[2002]
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Internet
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| Call Number: |
QA304 .A78 2002eb
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| QA304 .A78 2002eb | Available |