On Sn Iteration for Fixed Points of (E)-Operators with Numerical Analysis and Polynomiography

The first part of this study is related to the search of fixed points for (E)-operators (Garcia-Falset operators), in the Banach setting, by means of a three-step iteration procedure. The main results reveal some conclusions related to weak and strong convergence of the considered iterative scheme toward a fixed point. On the other hand, the usefulness of the Sn iterative scheme is once again revealed by demonstrating through numerical simulations the advantages of using it for solving the problem of the maximum modulus of complex polynomials compared to standard algorithms, such as Newton, Halley, or Kalantary’s so-called B4 iteration.

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Publication Details

Journal
Mathematics
Published
2025-08-15
DOI
https://doi.org/10.3390/math13162625
Citations
1
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
1.50
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article

On Sn Iteration for Fixed Points of (E)-Operators with Numerical Analysis and Polynomiography

Cristian Ciobanescu
1 citations
Mathematics
Optimization and Variational Analysis
1.50
article

On Sn Iteration for Fixed Points of (E)-Operators with Numerical Analysis and Polynomiography

Cristian Ciobanescu
article en
1 citations

Abstract

The first part of this study is related to the search of fixed points for (E)-operators (Garcia-Falset operators), in the Banach setting, by means of a three-step iteration procedure. The main results reveal some conclusions related to weak and strong convergence of the considered iterative scheme toward a fixed point. On the other hand, the usefulness of the Sn iterative scheme is once again revealed by demonstrating through numerical simulations the advantages of using it for solving the problem of the maximum modulus of complex polynomials compared to standard algorithms, such as Newton, Halley, or Kalantary’s so-called B4 iteration.

MathematicsVol. 13(16)
Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Openalex Percentile: Top 14%
Optimization and Variational Analysis
1.50
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