Polynomial roots with Jenkins-Traub algorithm

Versione 1.3.0.2 (25,2 KB) da Ivo Houtzager
Find polynomial roots with Jenkins-Traub algorithm.
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Aggiornato 7 apr 2021
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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.

Cita come

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

Compatibilità della release di MATLAB
Creato con R2012b
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Categorie
Scopri di più su Polynomials in Help Center e MATLAB Answers
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Ispirato: testing and solving polynomials

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Versione Pubblicato Note della release
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

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Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.