Automatic Differentiation: Applications, Theory, and Implementations (Lecture Notes in Computational Science and Engineering)
Martin Bucker, George Corliss, Paul Hovland, Uwe Naumann, Boyana Norris (Editors)
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.
Категорії:
Рік:
2006
Видання:
1
Видавництво:
Springer
Мова:
english
Сторінки:
384
ISBN 10:
3540284389
ISBN 13:
9783540284383
Файл:
PDF, 11.93 MB
IPFS:
,
english, 2006