A collection of general optimization routines based on variants of the One Side Cut Accelerated Random Search (OSCARS-II) algorithm (Price et al., 2020, <doi:10.1007/s10898-020-00928-6>). The main function , 'oscars()', performs black-box optimization of a general (including nonsmooth or discontinuous) function subject to simple bounds on the unknowns. If all bounds are finite, oscars searches globally. The main method implements a stochastic direct search method and is derivative free. Testing shows the OSCARS-II algorithm usually finds extrema with fewer function evaluations than similar global derivative-free methods.
| Version: | 0.1.2 |
| Imports: | stats |
| Published: | 2026-05-06 |
| DOI: | 10.32614/CRAN.package.OSCARS |
| Author: | Chris Price [aut, cre], Trent McDonald [aut, ctb] (R packaging) |
| Maintainer: | Chris Price <chrisj.price at canterbury.ac.nz> |
| License: | Apache License (≥ 2) |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | OSCARS results |
| Reference manual: | OSCARS.html , OSCARS.pdf |
| Package source: | OSCARS_0.1.2.tar.gz |
| Windows binaries: | r-devel: OSCARS_0.1.2.zip, r-release: OSCARS_0.1.2.zip, r-oldrel: OSCARS_0.1.2.zip |
| macOS binaries: | r-release (arm64): OSCARS_0.1.2.tgz, r-oldrel (arm64): OSCARS_0.1.2.tgz, r-release (x86_64): OSCARS_0.1.2.tgz, r-oldrel (x86_64): OSCARS_0.1.2.tgz |
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