Abstract
We introduce the basic notions of Automatic Differentiation, describe some extensions which are of interest in the context of nonlinear optimization and give some illustrative examples.
| Original language | English |
|---|---|
| Pages (from-to) | 171-190 |
| Journal | Journal of Computational and Applied Mathematics |
| Volume | 124 |
| Issue number | 1-2 |
| DOIs | |
| Publication status | Published - 2000 |
Fingerprint
Dive into the research topics of 'Automatic Differentiation of Algorithms'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver