Polynomial roots with Jenkins-Traub algorithm
Find polynomial roots with Jenkins-Traub algorithm.
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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 (2026). Polynomial roots with Jenkins-Traub algorithm (https://github.com/iwoodsawyer/polyroots/releases/tag/v1.3.0.2), GitHub. Retrieved .
Acknowledgements
Inspired: testing and solving polynomials
General Information
- Version 1.3.0.2 (25.2 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.3.0.2 | See release notes for this release on GitHub: https://github.com/iwoodsawyer/polyroots/releases/tag/v1.3.0.2 |
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| 1.3.0.1 | See release notes for this release on GitHub: https://github.com/iwoodsawyer/polyroots/releases/tag/v1.3.0.1 |
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| 1.3.0.0 | Fix compile issue with define tmwtypes_do_not_include_stdbool
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| 1.2.0.0 | Fix for double definition of abs with Visual Studio 2013 and higher
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| 1.1.0.0 | Fixed allocation size |
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| 1.0.0.0 |
