2015
DOI: 10.1007/s11075-015-0048-9
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On the new family of optimal eighth order methods developed by Lotfi et al.

Abstract: On the new family of optimal eighth order methods developed by Lotfi et al.Chun, Changbum Springer C. Chun, B. Neta, "On the new family of optimal eighth order methods developed by

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Cited by 10 publications
(11 citation statements)
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“…The idea of using basins of attraction appeared first in Stewart [3] and followed by the works of Amat et al [4][5][6] and [7], Scott et al [8], Chun et al [9], Chicharro et al [10], Cordero et al [11], Neta et al [12,13], Chun et al [14][15][16], Argyros and Magreñan [17], and Magreñan [18]. In later works ( [15,16,[19][20][21]), we have introduced a more quantitative comparison, by listing the average number of iterations per point, the CPU time, and the number of points requiring 40 iterations. We have also discussed how to choose the parameters appearing in the method and/or the weight function (see, e.g., [22]).…”
Section: Introductionmentioning
confidence: 99%
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“…The idea of using basins of attraction appeared first in Stewart [3] and followed by the works of Amat et al [4][5][6] and [7], Scott et al [8], Chun et al [9], Chicharro et al [10], Cordero et al [11], Neta et al [12,13], Chun et al [14][15][16], Argyros and Magreñan [17], and Magreñan [18]. In later works ( [15,16,[19][20][21]), we have introduced a more quantitative comparison, by listing the average number of iterations per point, the CPU time, and the number of points requiring 40 iterations. We have also discussed how to choose the parameters appearing in the method and/or the weight function (see, e.g., [22]).…”
Section: Introductionmentioning
confidence: 99%
“…where t n is given by (15) and the weight function p(t) should satisfy the following condition to guarantee eighth order:…”
Section: Introductionmentioning
confidence: 99%
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“…In [11] we have compared several members of the family LSSS to the methods cited there and to the method by Wang and Liu [12] denoted WL which showed good results in our previous work (see, for example, Chun and Neta [11,13]. The method WL is as follows:…”
Section: Introductionmentioning
confidence: 99%