Package: minqa 1.2.8

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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]

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minqa.pdf |minqa.html✨
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:

fortrancpp

11.28 score 1 stars 1.9k packages 284 scripts 377k downloads 4 mentions 3 exports 1 dependencies

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

TargetResultTotal timeArtifact
linux-devel-arm64OK118
linux-devel-x86_64OK92
source / vignettesOK165
linux-release-arm64OK137
linux-release-x86_64OK93
macos-devel-arm64OK90
macos-devel-x86_64OK196
macos-release-arm64OK127
macos-release-x86_64OK156
windows-develOK218
windows-releaseOK102
windows-oldrelOK88
wasm-releaseOK85

Exports:bobyqanewuoauobyqa

Dependencies:Rcpp

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