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Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.
| Version: | 2023.1.0 |
| Depends: | R (≥ 2.10.1) |
| Published: | 2023-08-23 |
| DOI: | 10.32614/CRAN.package.dfoptim |
| Author: | Ravi Varadhan[aut, cre], Johns Hopkins University, Hans W. Borchers[aut], ABB Corporate Research, and Vincent Bechard[aut], HEC Montreal (Montreal University) |
| Maintainer: | Ravi Varadhan <ravi.varadhan at jhu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Optimization |
| CRAN checks: | dfoptim results |
| Reference manual: | dfoptim.pdf |
| Package source: | dfoptim_2023.1.0.tar.gz |
| Windows binaries: | r-devel: dfoptim_2023.1.0.zip, r-release: dfoptim_2023.1.0.zip, r-oldrel: dfoptim_2023.1.0.zip |
| macOS binaries: | r-release (arm64): dfoptim_2023.1.0.tgz, r-oldrel (arm64): dfoptim_2023.1.0.tgz, r-release (x86_64): dfoptim_2023.1.0.tgz, r-oldrel (x86_64): dfoptim_2023.1.0.tgz |
| Old sources: | dfoptim archive |
| Reverse depends: | mvord |
| Reverse imports: | atRisk, calibrar, ConsReg, cops, CSTE, DynTxRegime, foreSIGHT, matrisk, npcs, reReg, sklarsomega, stepPenal, stops |
| Reverse suggests: | afex, cxr, lme4, metadat, metafor, optimx, qra, ROI.plugin.optimx, SensIAT |
| Reverse enhances: | Rmpfr |
Please use the canonical form https://CRAN.R-project.org/package=dfoptim to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.