Package: minqa 1.2.8

Katharine M. Mullen

minqa: Derivative-Free Optimization Algorithms by Quadratic Approximation

Derivative-free optimization by quadratic approximation based on an interface to Fortran implementations by M. J. D. Powell.

Authors:Douglas Bates [aut], Katharine M. Mullen [aut, cre], John C. Nash [aut], Ravi Varadhan [aut]

minqa_1.2.8.tar.gz
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minqa_1.2.8.tgz(r-4.6-x86_64)minqa_1.2.8.tgz(r-4.6-arm64)minqa_1.2.8.tgz(r-4.5-x86_64)minqa_1.2.8.tgz(r-4.5-arm64)
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minqa_1.2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
minqa/json (API)

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

Bug tracker:https://r-forge.r-project.org/projects/optimizer

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

11.49 score 1 stars 1.9k packages 378 scripts 436k downloads 4 mentions 3 exports 1 dependencies

Last updated from:67f18d75bb. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK128
linux-devel-x86_64OK144
source / vignettesOK132
linux-release-arm64OK126
linux-release-x86_64OK110
macos-release-arm64OK116
macos-release-x86_64OK281
macos-oldrel-arm64OK91
macos-oldrel-x86_64OK259
windows-develOK100
windows-releaseOK114
windows-oldrelOK139
wasm-releaseOK96

Exports:bobyqanewuoauobyqa

Dependencies:Rcpp