Automatic Differentiation: Applications, Theory, and Implementations. Lecture Notes in Computational Science and Engineering
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Jan 1, 2006
·
Englisch
·
E-Book
(369 Seiten)
Format
E-Book
Seiten
369
Sprache
Englisch
Veröffentlicht
Jan 1, 2006
Verlag
Springer
ISBN-10
1280460946
ISBN-13
9781280460944
This collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students will learn about advances in automatic differentiation techniques and strategies for the implementation of robust and powerful tools. Computational scientists and engineers will benefit from the discussion of applications, which provide insight into effective strategies for using automatic differentiation for design optimization, sensitivity analysis, and uncertainty quantification.
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