Package: minimaxApprox 0.5.0

minimaxApprox: Implementation of Remez Algorithm for Polynomial and Rational Function Approximation

Implements the algorithm of Remez (1962) for polynomial minimax approximation and of Cody et al. (1968) <doi:10.1007/BF02162506> for rational minimax approximation.

Authors:Avraham Adler [aut, cre, cph]

minimaxApprox_0.5.0.tar.gz
minimaxApprox_0.5.0.zip(r-4.7)minimaxApprox_0.5.0.zip(r-4.6)minimaxApprox_0.5.0.zip(r-4.5)
minimaxApprox_0.5.0.tgz(r-4.6-x86_64)minimaxApprox_0.5.0.tgz(r-4.6-arm64)minimaxApprox_0.5.0.tgz(r-4.5-x86_64)minimaxApprox_0.5.0.tgz(r-4.5-arm64)
minimaxApprox_0.5.0.tar.gz(r-4.7-arm64)minimaxApprox_0.5.0.tar.gz(r-4.7-x86_64)minimaxApprox_0.5.0.tar.gz(r-4.6-arm64)minimaxApprox_0.5.0.tar.gz(r-4.6-x86_64)
minimaxApprox_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
minimaxApprox/json (API)
NEWS

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

Bug tracker:https://github.com/aadler/minimaxapprox/issues

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

openblas

4.08 score 4 stars 1 scripts 533 downloads 6 exports 0 dependencies

Last updated from:2db78ebf57. Checks:2 ERROR, 11 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR117
linux-devel-x86_64OK111
source / vignettesOK133
linux-release-arm64ERROR112
linux-release-x86_64OK101
macos-release-arm64OK83
macos-release-x86_64OK223
macos-oldrel-arm64OK144
macos-oldrel-x86_64OK213
windows-develOK81
windows-releaseOK69
windows-oldrelOK78
wasm-releaseOK116

Exports:coef.minimaxApproxminimaxApproxminimaxErrminimaxEvalplot.minimaxApproxprint.minimaxApprox

Dependencies: