testing and solving polynomials

This submission contains a testing tool to check polynomial solver accuracy and a pure Matlab code of the well known Jenkins and Traub algo
Updated 10 Jun 2023

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This submission contains two main codes : TestPolynomialRootsSoftware and JTPolyroots.
The first one offers the possibility to check the accuracy of any solver whos syntax is similar to the Matlab command "roots". A dozen of more or less difficult polynomial are available some of them using free parameters.
The second is a Matlab implementation of rpoly and cpoly. JTPolyroots can be considered as a companion of the submission Ivo Houtzager (2023). Polynomial roots with Jenkins-Traub algorithm. When computation are double precision its dll is called by default. If not yet installed JTPolyroots do the job. Our Matlab version of rpoly/cpoly support single precision, double precision, quadruple and general multiprecision by overloading. In the last two options a multiprecision toolbox is required as "mp" (MPFR or compatible). See file exchange or commercial advanpix toolbox).

Cite As

Alain Barraud (2024). testing and solving polynomials (https://www.mathworks.com/matlabcentral/fileexchange/130819-testing-and-solving-polynomials), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes

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