Package: OSCARS 0.2.1

OSCARS: Global Bounded Optimization by the OSCARS-II Algorithm

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 in fewer function evaluations than similar global derivative-free methods.

Authors:Chris Price [aut, cre], Trent McDonald [aut, ctb]

OSCARS_0.2.1.tar.gz
OSCARS_0.2.1.zip(r-4.7-any)OSCARS_0.2.1.zip(r-4.6-any)OSCARS_0.2.1.zip(r-4.5-any)
OSCARS_0.2.1.tgz(r-4.6-any)OSCARS_0.2.1.tgz(r-4.5-any)
OSCARS_0.2.1.tar.gz(r-4.7-any)OSCARS_0.2.1.tar.gz(r-4.6-any)
OSCARS_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
OSCARS/json (API)

# Install 'OSCARS' in R:
install.packages('OSCARS', repos = c('https://oscarsglobal.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/oscarsglobal/oscars/issues

On CRAN:

Conda:

4.26 score 1 packages 1 scripts 139 downloads 5 exports 1 dependencies

Last updated from:184fdce491. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK114
source / vignettesOK320
linux-releaseOK105
macos-releaseOK97
macos-oldrelOK79
windows-develOK64
windows-releaseOK61
windows-oldrelOK66
wasm-releaseOK94

Exports:oscarsoscars.controloscarsQNoscarsQN.controlposcars

Dependencies:cli