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
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).
引用格式
Alain Barraud (2026). testing and solving polynomials (https://ww2.mathworks.cn/matlabcentral/fileexchange/130819-testing-and-solving-polynomials), MATLAB Central File Exchange. 检索时间: .
