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minimaxApprox  

Implementation of Remez Algorithm for Polynomial and Rational Function Approximation
View on CRAN: Click here


Download and install minimaxApprox package within the R console
Install from CRAN:
install.packages("minimaxApprox")

Install from Github:
library("remotes")
install_github("cran/minimaxApprox")

Install by package version:
library("remotes")
install_version("minimaxApprox", "0.4.1")



Attach the package and use:
library("minimaxApprox")
Maintained by
Avraham Adler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-19
Latest Update: 2024-02-29
Description:
Implements the algorithm of Remez (1962) for polynomial minimax approximation and of Cody et al. (1968) for rational minimax approximation.
How to cite:
Avraham Adler (2023). minimaxApprox: Implementation of Remez Algorithm for Polynomial and Rational Function Approximation. R package version 0.4.1, https://cran.r-project.org/web/packages/minimaxApprox
Previous versions and publish date:
0.0.1 (2023-07-19 17:40), 0.0.2 (2023-07-20 14:40), 0.1.0 (2023-08-09 00:30), 0.2.0 (2023-09-04 18:40), 0.2.1 (2023-09-05 09:20), 0.2.2 (2023-10-13 23:10), 0.3.0 (2024-01-25 11:40), 0.4.0 (2024-02-26 10:20)
Other packages that cited minimaxApprox R package
View minimaxApprox citation profile
Other R packages that minimaxApprox depends, imports, suggests or enhances
Functions, R codes and Examples using the minimaxApprox R package
Some associated functions: MiniMaxApprox . coef.minimaxApprox . minimaxApprox-internal . minimaxApprox-package . minimaxErr . minimaxEval . plot.minimaxApprox . print.minimaxApprox . 
Some associated R codes: MiniMaxApprox.R . RemezPolynomial.R . RemezRational.R . methods.R . shared.R .  Full minimaxApprox package functions and examples
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