Package: ROptimus 3.0.0

Aleksandr B. Sahakyan

ROptimus: A Parallel General-Purpose Adaptive Optimisation Engine

A general-purpose optimisation engine that supports i) Monte Carlo optimisation with Metropolis criterion [Metropolis et al. (1953) <doi:10.1063/1.1699114>, Hastings (1970) <doi:10.1093/biomet/57.1.97>] and Acceptance Ratio Simulated Annealing [Kirkpatrick et al. (1983) <doi:10.1126/science.220.4598.671>, Černý (1985) <doi:10.1007/BF00940812>] on multiple cores, and ii) Acceptance Ratio Replica Exchange Monte Carlo Optimisation. In each case, the system pseudo-temperature is dynamically adjusted such that the observed acceptance ratio is kept near to the desired (fixed or changing) acceptance ratio.

Authors:Nicholas Andre G. Johnson [aut], Liezel Tamon [aut], Xin Liu [aut], Aleksandr B. Sahakyan [aut, cre]

ROptimus_3.0.0.tar.gz
ROptimus_3.0.0.zip(r-4.7-any)ROptimus_3.0.0.zip(r-4.6-any)ROptimus_3.0.0.zip(r-4.5-any)
ROptimus_3.0.0.tgz(r-4.6-any)ROptimus_3.0.0.tgz(r-4.5-any)
ROptimus_3.0.0.tar.gz(r-4.7-any)ROptimus_3.0.0.tar.gz(r-4.6-any)
ROptimus_3.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
ROptimus/json (API)

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

Bug tracker:https://github.com/sahakyanlab/roptimus/issues

Datasets:

On CRAN:

Conda:

optimisationparallel

3.78 score 4 stars 2 scripts 212 downloads 2 exports 4 dependencies

Last updated from:d1f24ef661. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING112
source / vignettesOK202
linux-release-x86_64WARNING114
macos-release-arm64WARNING126
macos-oldrel-arm64WARNING140
windows-develWARNING65
windows-releaseWARNING71
windows-oldrelWARNING68
wasm-releaseOK112

Exports:OptimusOptimusExamples

Dependencies:codetoolsdoParallelforeachiterators