FLQ, the Fastest Quadratic Complexity Bound on the Values of Positive Roots of Polynomials

Akritas, Alkiviadis; Argyris, Andreas; Strzeboński, Adam

Serdica Journal of Computing (2008)

  • Volume: 2, Issue: 2, page 145-162
  • ISSN: 1312-6555

Abstract

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In this paper we present F LQ, a quadratic complexity bound on the values of the positive roots of polynomials. This bound is an extension of FirstLambda, the corresponding linear complexity bound and, consequently, it is derived from Theorem 3 below. We have implemented FLQ in the Vincent-Akritas-Strzeboński Continued Fractions method (VAS-CF) for the isolation of real roots of polynomials and compared its behavior with that of the theoretically proven best bound, LM Q. Experimental results indicate that whereas F LQ runs on average faster (or quite faster) than LM Q, nonetheless the quality of the bounds computed by both is about the same; moreover, it was revealed that when VAS-CF is run on our benchmark polynomials using F LQ, LM Q and min(F LQ, LM Q) all three versions run equally well and, hence, it is inconclusive which one should be used in the VAS-CF method.

How to cite

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Akritas, Alkiviadis, Argyris, Andreas, and Strzeboński, Adam. "FLQ, the Fastest Quadratic Complexity Bound on the Values of Positive Roots of Polynomials." Serdica Journal of Computing 2.2 (2008): 145-162. <http://eudml.org/doc/11459>.

@article{Akritas2008,
abstract = {In this paper we present F LQ, a quadratic complexity bound on the values of the positive roots of polynomials. This bound is an extension of FirstLambda, the corresponding linear complexity bound and, consequently, it is derived from Theorem 3 below. We have implemented FLQ in the Vincent-Akritas-Strzeboński Continued Fractions method (VAS-CF) for the isolation of real roots of polynomials and compared its behavior with that of the theoretically proven best bound, LM Q. Experimental results indicate that whereas F LQ runs on average faster (or quite faster) than LM Q, nonetheless the quality of the bounds computed by both is about the same; moreover, it was revealed that when VAS-CF is run on our benchmark polynomials using F LQ, LM Q and min(F LQ, LM Q) all three versions run equally well and, hence, it is inconclusive which one should be used in the VAS-CF method.},
author = {Akritas, Alkiviadis, Argyris, Andreas, Strzeboński, Adam},
journal = {Serdica Journal of Computing},
keywords = {Vincent’s Theorem; Real Root Isolation Methods; Linear and Quadratic Complexity Bounds on the Values of the Positive Roots; numerical examples; Vincent's theorem; real root isolation methods; linear and quadratic complexity bounds; positive roots of polynomials; continued fractions method},
language = {eng},
number = {2},
pages = {145-162},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {FLQ, the Fastest Quadratic Complexity Bound on the Values of Positive Roots of Polynomials},
url = {http://eudml.org/doc/11459},
volume = {2},
year = {2008},
}

TY - JOUR
AU - Akritas, Alkiviadis
AU - Argyris, Andreas
AU - Strzeboński, Adam
TI - FLQ, the Fastest Quadratic Complexity Bound on the Values of Positive Roots of Polynomials
JO - Serdica Journal of Computing
PY - 2008
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 2
IS - 2
SP - 145
EP - 162
AB - In this paper we present F LQ, a quadratic complexity bound on the values of the positive roots of polynomials. This bound is an extension of FirstLambda, the corresponding linear complexity bound and, consequently, it is derived from Theorem 3 below. We have implemented FLQ in the Vincent-Akritas-Strzeboński Continued Fractions method (VAS-CF) for the isolation of real roots of polynomials and compared its behavior with that of the theoretically proven best bound, LM Q. Experimental results indicate that whereas F LQ runs on average faster (or quite faster) than LM Q, nonetheless the quality of the bounds computed by both is about the same; moreover, it was revealed that when VAS-CF is run on our benchmark polynomials using F LQ, LM Q and min(F LQ, LM Q) all three versions run equally well and, hence, it is inconclusive which one should be used in the VAS-CF method.
LA - eng
KW - Vincent’s Theorem; Real Root Isolation Methods; Linear and Quadratic Complexity Bounds on the Values of the Positive Roots; numerical examples; Vincent's theorem; real root isolation methods; linear and quadratic complexity bounds; positive roots of polynomials; continued fractions method
UR - http://eudml.org/doc/11459
ER -

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