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
9 Downloads
Updated 10 Jun 2023

View License

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

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes
1.0.1

something was missing within the zip file

1.0.0