1998
DOI: 10.1016/s0377-0427(98)00109-5
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Improvement of a convergence condition for the Durand-Kerner iteration

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Cited by 17 publications
(8 citation statements)
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“…Batra [13] has proved that the Weierstrass method is convergent under the condition W (z 0 ) ∞ < δ(z 0 )/(2n). The following corollary improves Batra's result as well as previous results [4,9,10,11,12].…”
Section: Comparison With the Previous Resultsmentioning
confidence: 99%
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“…Batra [13] has proved that the Weierstrass method is convergent under the condition W (z 0 ) ∞ < δ(z 0 )/(2n). The following corollary improves Batra's result as well as previous results [4,9,10,11,12].…”
Section: Comparison With the Previous Resultsmentioning
confidence: 99%
“…In 1962, Dochev [2,3] proved the first local convergence theorem for the Weierstrass method. Since 1980 a number of authors [4,5,6,7,8,9,10,11,12,13,14,15] have obtained semilocal convergence theorems for the Weierstrass method from data at one point (point estimation). In this note we present a new semilocal convergence theorem for the Weierstrass method which improves and generalizes all these results.…”
Section: Introductionmentioning
confidence: 99%
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“…Following the paradigm of Smale's point estimates we derive convergence conditions using attainable data from the iteration process (see, e.g., [1]). …”
Section: Weierstraßmentioning
confidence: 99%
“…According to the results of the papers [8][9][10][11][12][13][14], it turned out that suitable initial conditions, providing a guaranteed convergence of iterative methods for the simultaneous determination of polynomial zeros, are of the form of the inequality w (°) < c~d <°), (1.1) where c~ is the quantity which depends only on the polynomial degree n. Moreover, Wang and Zhao [8] came to form (1.1) in a quite natural way by applying their improvement of Smale's results for Newton's method. In Section 2 we give a short review of basic operations of circular complex arithmetic, necessary for finding bounds of some complex quantities.…”
mentioning
confidence: 99%