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Download Automatic Differentiation: Applications, Theory, and Implementations (Lecture Notes in Computational Science and Engineering) by Martin Bucker, George Corliss, Paul Hovland, Uwe Naumann, Boyana Norris (Editors) in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Automatic Differentiation: Applications, Theory, and Implementations (Lecture Notes in Computational Science and Engineering)
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.
Detailed Information
| Author: | Martin Bucker, George Corliss, Paul Hovland, Uwe Naumann, Boyana Norris (Editors) |
|---|---|
| Publication Year: | 2006 |
| ISBN: | 9783540284383 |
| Pages: | 370 |
| Language: | English |
| File Size: | 11.932 |
| Format: | |
| Price: | FREE |
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