Package: minimaxApprox 0.4.3

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_0.4.3.tar.gz
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minimaxApprox_0.4.3.tgz(r-4.5-x86_64)minimaxApprox_0.4.3.tgz(r-4.5-arm64)minimaxApprox_0.4.3.tgz(r-4.4-x86_64)minimaxApprox_0.4.3.tgz(r-4.4-arm64)minimaxApprox_0.4.3.tgz(r-4.3-x86_64)minimaxApprox_0.4.3.tgz(r-4.3-arm64)
minimaxApprox_0.4.3.tar.gz(r-4.5-noble)minimaxApprox_0.4.3.tar.gz(r-4.4-noble)
minimaxApprox_0.4.3.tgz(r-4.4-emscripten)minimaxApprox_0.4.3.tgz(r-4.3-emscripten)
minimaxApprox.pdf |minimaxApprox.html✨
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

3.78 score 3 stars 1 scripts 356 downloads 6 exports 0 dependencies

Last updated 9 months agofrom:40c860d8f4. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-win-x86_64OKMar 17 2025
R-4.5-mac-x86_64OKMar 17 2025
R-4.5-mac-aarch64OKMar 17 2025
R-4.5-linux-x86_64OKMar 17 2025
R-4.4-win-x86_64OKMar 17 2025
R-4.4-mac-x86_64OKMar 17 2025
R-4.4-mac-aarch64OKMar 17 2025
R-4.4-linux-x86_64OKMar 17 2025
R-4.3-win-x86_64OKMar 17 2025
R-4.3-mac-x86_64OKMar 17 2025
R-4.3-mac-aarch64OKMar 17 2025

Exports:coef.minimaxApproxminimaxApproxminimaxErrminimaxEvalplot.minimaxApproxprint.minimaxApprox

Dependencies: