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Abstract

Vectorial Iterative Schemes with Memory for Solving Nonlinear Systems of Equations †

1
Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
2
Universidad Politécnica de Valencia, Cno. de Vera s/n, 46022 Valencia, Spain
3
Department of Mathematics, Chandigarh University, Mohali 140413, Punjab, India
*
Author to whom correspondence should be addressed.
Presented at the 1st International Electronic Conference on Algorithms, 27 September–10 October 2021; Available online: https://ioca2021.sciforum.net/.
Comput. Sci. Math. Forum 2022, 2(1), 17; https://doi.org/10.3390/IOCA2021-10892
Published: 22 September 2021
(This article belongs to the Proceedings of The 1st International Electronic Conference on Algorithms)

Abstract

:
There exist in the literature many iterative methods for solving nonlinear problems. Some of these methods can be transferred directly to the context of nonlinear systems, keeping the order of convergence, but others cannot be directly extended to a multidimensional case. Sometimes, the procedures are designed specifically for multidimensional problems by using different techniques, as composition and reduction or weight-function procedures, among others. Our main aim is not only to design an iterative scheme for solving nonlinear systems but also to assure its high order of convergence by means of the introduction of matrix accelerating parameters. This is a challenging area of numerical analysis wherein there are still few procedures defined. Once the iterative method has been designed, it is necessary to carry out a dynamical study in order to verify the wideness of the basins of attraction of the roots and compare its stability with other known methods.

Supplementary Materials

The conference presentation video is available at https://www.mdpi.com/article/10.3390/IOCA2021-10892/s1.

Author Contributions

Conceptualization, R.B. and S.B.; methodology, R.B.; software, A.C.; validation, J.R.T. and A.C.; formal analysis, R.B.; investigation, S.B.; writing—original draft preparation, R.B. and S.B.; writing—review and editing, J.R.T. and A.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Behl, R.; Cordero, A.; Torregrosa, J.R.; Bhalla, S. Vectorial Iterative Schemes with Memory for Solving Nonlinear Systems of Equations. Comput. Sci. Math. Forum 2022, 2, 17. https://doi.org/10.3390/IOCA2021-10892

AMA Style

Behl R, Cordero A, Torregrosa JR, Bhalla S. Vectorial Iterative Schemes with Memory for Solving Nonlinear Systems of Equations. Computer Sciences & Mathematics Forum. 2022; 2(1):17. https://doi.org/10.3390/IOCA2021-10892

Chicago/Turabian Style

Behl, Ramandeep, Alicia Cordero, Juan R. Torregrosa, and Sonia Bhalla. 2022. "Vectorial Iterative Schemes with Memory for Solving Nonlinear Systems of Equations" Computer Sciences & Mathematics Forum 2, no. 1: 17. https://doi.org/10.3390/IOCA2021-10892

APA Style

Behl, R., Cordero, A., Torregrosa, J. R., & Bhalla, S. (2022). Vectorial Iterative Schemes with Memory for Solving Nonlinear Systems of Equations. Computer Sciences & Mathematics Forum, 2(1), 17. https://doi.org/10.3390/IOCA2021-10892

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