Memorizing Schröder’s Method as an Efficient Strategy for Estimating Roots of Unknown Multiplicity

Alicia Cordero, Beny Neta and Juan R. Torregrosa
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Alicia Cordero: Institute for Multidisciplinary Mathematics, Universitat Politècnica de València, 46022 València, Spain
Beny Neta: Department of Applied Mathematics, Naval Postgraduate School, Monterey, CA 93943, USA
Juan R. Torregrosa: Institute for Multidisciplinary Mathematics, Universitat Politècnica de València, 46022 València, Spain

Mathematics, 2021, vol. 9, issue 20, 1-13

Abstract: In this paper, we propose, to the best of our knowledge, the first iterative scheme with memory for finding roots whose multiplicity is unknown existing in the literature. It improves the efficiency of a similar procedure without memory due to Schröder and can be considered as a seed to generate higher order methods with similar characteristics. Once its order of convergence is studied, its stability is analyzed showing its good properties, and it is compared numerically in terms of their basins of attraction with similar schemes without memory for finding multiple roots.

Keywords: nonlinear equations; iterative methods with memory; multiple roots; derivative-free; efficiency; stability (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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