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A Fast & Robust Solution for Cubic & Higher-Order Polynomials

Published:24 July 2022Publication History

ABSTRACT

We present a computationally-efficient and numerically-robust method for finding real roots of cubic and higher-order polynomials. It begins with determining the intervals where a given polynomial is monotonic. Then, the existence of a real root within each interval can be quickly identified. If one exists, we find the root using a stable variant of Newton iterations, providing fast and guaranteed convergence and satisfying the given error bound.

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References

  1. Gaël Guennebaud, Benoît Jacob, 2010. Eigen v3. http://eigen.tuxfamily.org.Google ScholarGoogle Scholar
  2. M. A. Jenkins and J. F. Traub. 1970. A Three-Stage Algorithm for Real Polynomials Using Quadratic Iteration. SIAM J. Numer. Anal. 7, 4 (1970), 545–566.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Cem Yuksel. 2022. Polynomial Roots. http://www.cemyuksel.com/?x=polynomials.Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Conferences
    SIGGRAPH '22: ACM SIGGRAPH 2022 Talks
    July 2022
    108 pages
    ISBN:9781450393713
    DOI:10.1145/3532836

    Copyright © 2022 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 24 July 2022

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    Qualifiers

    • invited-talk
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate1,822of8,601submissions,21%

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