Polynomial roots with Jenkins-Traub algorithm

Find polynomial roots with Jenkins-Traub algorithm.
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Updated 7 Apr 2021

Find polynomial roots with Jenkins–Traub algorithm. The mex-function is using the CPOLY algorithm from ACM Algorithm 419 for polynomials with complex coefficients, and the RPOLY algorithm from ACM Algorithm 493 for polynomials with real coefficients. The algorithm calculates all of the zeros of a polynomial whose coefficients are the elements of a vector in order of decreasing powers. Leading zeros in the coefficients are discarded.

Cite As

Ivo Houtzager (2024). Polynomial roots with Jenkins-Traub algorithm (https://github.com/iwoodsawyer/polyroots/releases/tag/v1.3.0.2), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Acknowledgements

Inspired: testing and solving polynomials

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Version Published Release Notes
1.3.0.2

See release notes for this release on GitHub: https://github.com/iwoodsawyer/polyroots/releases/tag/v1.3.0.2

1.3.0.1

See release notes for this release on GitHub: https://github.com/iwoodsawyer/polyroots/releases/tag/v1.3.0.1

1.3.0.0

Fix compile issue with define tmwtypes_do_not_include_stdbool
Add compile option -R2017b for Matlab version 9.4 or higher

1.2.0.0

Fix for double definition of abs with Visual Studio 2013 and higher
Fix for missing definition of DBL_RADIX with Mingw64

1.1.0.0

Fixed allocation size

1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.