Polynomial roots with Jenkins-Traub algorithm

Find polynomial roots with Jenkins-Traub algorithm.

https://github.com/iwoodsawyer/polyroots

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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.

인용 양식

Ivo Houtzager (2026). Polynomial roots with Jenkins-Traub algorithm (https://github.com/iwoodsawyer/polyroots/releases/tag/v1.3.0.2), GitHub. 검색 날짜: .

도움

도움 준 파일: testing and solving polynomials

카테고리

Help CenterMATLAB Answers에서 Polynomials에 대해 자세히 알아보기

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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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이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.