1970
DOI: 10.1007/bf02163334
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A three-stage variable-shift iteration for polynomial zeros and its relation to generalized rayleigh iteration

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Cited by 154 publications
(78 citation statements)
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“…Our implementation uses the Jenkins and Traub root finder (Jenkins and Traub, 1970), and we found that this algorithm is numerically very stable.…”
Section: Problem Statementmentioning
confidence: 99%
“…Our implementation uses the Jenkins and Traub root finder (Jenkins and Traub, 1970), and we found that this algorithm is numerically very stable.…”
Section: Problem Statementmentioning
confidence: 99%
“…, a(i) being the step-size parameter (174), Laguerre's method (110; 132), and the JenkinsTraub algorithm (136). One can deflate the input polynomial via its numerical division by x − z to extend these algorithms to approximating the other roots.…”
Section: Root-finding Via Functional Iterationsmentioning
confidence: 99%
“…The data were computed by using the Jenkins and Traub root-finding method (see [25]), appropriate in this case since the polynomials has real coefficients, and they are similar to those given in [34,Ch. 8] where the distribution of zeros of Szegö polynomials for this measure is also considered: From Figures 1 and 2 one can observe that the zeros of φ 10 (z) are located on the circle z : |z| = q 1/2 whereas the zeros of φ 11 (z) are located on the circle z : |z| = q −1/2 , in accordance with Proposition 2.2 and the Mazel-GeronimoHayes theorem (see [32]).…”
Section: ✷ 6 Numerical Examplesmentioning
confidence: 99%