Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.
| Version: | 2011.8-1 |
| Depends: | R (≥ 2.10.1) |
| Published: | 2011-08-12 |
| Author: | Ravi Varadhan, Johns Hopkins University, and Hans W. Borchers, ABB Corporate Research. |
| Maintainer: | Ravi Varadhan <rvaradhan at jhmi.edu> |
| License: | GPL (≥ 2) |
| URL: | http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html |
| In views: | Optimization |
| CRAN checks: | dfoptim results |
| Package source: | dfoptim_2011.8-1.tar.gz |
| MacOS X binary: | dfoptim_2011.8-1.tgz |
| Windows binary: | dfoptim_2011.8-1.zip |
| Reference manual: | dfoptim.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | dfoptim archive |