2000
DOI: 10.1023/a:1019199917103
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Cited by 153 publications
(52 citation statements)
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“…In practice, we have used a modified version of the program newgrqd.f described in reference [158] to obtain the differential approximants. Our program uses Mathematica to obtain the polynomials Q j exactly (i.e., with exact rational coefficients), and then MPSolve [159,160] to compute the N K zeros of Q K to arbitrarily high precision (100 digits in our case). We have computed all the differential approximants of first and second order (i.e., K = 1, 2) satisfying |N i − N j | ≤ 1 and using at least 36 coefficients of the corresponding series.…”
Section: A Series Analysismentioning
confidence: 99%
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“…In practice, we have used a modified version of the program newgrqd.f described in reference [158] to obtain the differential approximants. Our program uses Mathematica to obtain the polynomials Q j exactly (i.e., with exact rational coefficients), and then MPSolve [159,160] to compute the N K zeros of Q K to arbitrarily high precision (100 digits in our case). We have computed all the differential approximants of first and second order (i.e., K = 1, 2) satisfying |N i − N j | ≤ 1 and using at least 36 coefficients of the corresponding series.…”
Section: A Series Analysismentioning
confidence: 99%
“…We wish to thank Dario Bini for supplying us the MPSolve 2.1.1 package [159,160] for computing roots of polynomials, and for many discussions about its use; Ian Enting, Tony Guttmann and Iwan Jensen for correspondence concerning the finite-lattice method; Yaoban Chan and Andrew Rechnitzer for providing us their C++ code to compute differential approximants, and for assistance in its use; and Hubert Saleur and Robert Shrock for many helpful conversations throughout the course of this work. We also wish to thank two referees for thoughtful comments on the first version of this paper.…”
Section: Acknowledgmentsmentioning
confidence: 99%
“…By applying the following theorem (cf. [34], [19], [61,Remark 6.4], [12,13,and 14], [15, Sections 3.1 and 3.2]) for i = 1 we obtain the upper bound p(c) p (c) d on the smallest distance r d (c, p) from a complex point c to a closest root of a black box polynomial p. Theorem 6. For a polynomial p of (1) and a complex point c, write…”
Section: Root Radii Estimationmentioning
confidence: 99%
“…Its formal support is weaker than by Theorem 2, but since 2000 it has been serving quite efficiently in initializing Ehrlich's iterations of MPSolve (cf. [12], [15]). 10 9 Throughout the paper we count m times a root of multiplicity m. 10 As we point out in Sections 3.2 and 6 (in its beginning), we can substantially simplify both real and complex root-finding if we narrow the search for the roots to the sets of suspect segments and suspect annuli, respectively.…”
Section: Root Radii Estimationmentioning
confidence: 99%
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