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-4.4-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)
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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'))

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

6 exports 2 stars 1.76 score 0 dependencies 255 downloads

Last updated 3 months agofrom:40c860d8f4. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 18 2024
R-4.5-win-x86_64OKSep 18 2024
R-4.5-linux-x86_64OKSep 18 2024
R-4.4-win-x86_64OKSep 18 2024
R-4.4-mac-x86_64OKSep 18 2024
R-4.4-mac-aarch64OKSep 18 2024
R-4.3-win-x86_64OKSep 18 2024
R-4.3-mac-x86_64OKSep 18 2024
R-4.3-mac-aarch64OKSep 18 2024

Exports:coef.minimaxApproxminimaxApproxminimaxErrminimaxEvalplot.minimaxApproxprint.minimaxApprox

Dependencies: