A New High-Order and Efficient Family of Iterative Techniques for Nonlinear Models. (30th January 2020)

• Record Type: Journal Article
• Authors: Behl, Ramandeep; Martínez, Eulalia
• Other Names: Aguilar-Ibáñez Carlos F. Academic Editor.
• Is Part Of: Complexity. Volume 2020(2020)
• Publication Date: 2020-01-30
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2020/1706841
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : In this paper, we want to construct a new high-order and efficient iterative technique for solving a system of nonlinear equations. For this purpose, we extend the earlier scalar scheme [16] to a system of nonlinear equations preserving the same convergence order. Moreover, by adding one more additional step, we obtain minimum 5th-order convergence for every value of a free parameter, θ ∈ ℝ, and for θ = − 1, the method reaches maximum 6-order convergence. We present an extensive convergence analysis of our scheme. The analytical discussion of the work is upheld by performing numerical experiments on some applied science problems and a large system of nonlinear equations. Furthermore, numerical results demonstrate the validity and reliability of the suggested methods.