Memory Based Approaches to One-Dimensional Nonlinear Models

Algorithms that locate roots are used to analyze nonlinear equations in computer science, mathematics, and physical sciences. In order to speed up convergence and increase computational efficiency, memory-based root-seeking algorithms may look for the previous iterations. Three memory-based methods...

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Bibliographic Details
Published in:	Acta applicandae mathematicae Vol. 195; no. 1; p. 1
Main Authors:	Naseem, Amir, Argyros, Ioannis K., Qureshi, Sania, Aziz ur Rehman, Muhammad, Soomro, Amanullah, Gdawiec, Krzysztof, Iyanda Abdulganiy, Ridwanulahi
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.02.2025 Springer Nature B.V
Subjects:	Algorithms Applications of Mathematics Approximation Calculus of Variations and Optimal Control; Optimization Computational Mathematics and Numerical Analysis Computer engineering Convergence Dimensional analysis Efficiency Finite differences Iterative methods Mathematics Mathematics and Statistics Methods Nonlinear equations Operators (mathematics) Partial Differential Equations Physical sciences Probability Theory and Stochastic Processes Stability 26C10 Memory methods 65H05 Local and semilocal convergence Convergence speed 65H04 30C15
ISSN:	0167-8019, 1572-9036
Online Access:	Get full text
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