A New High-Order and Efficient Family of Iterative Techniques for Nonlinear Models

Joint Authors

Behl, Ramandeep
Martínez, Eulalia

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-01-30

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Philosophy

Abstract EN

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.

American Psychological Association (APA)

Behl, Ramandeep& Martínez, Eulalia. 2020. A New High-Order and Efficient Family of Iterative Techniques for Nonlinear Models. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139941

Modern Language Association (MLA)

Behl, Ramandeep& Martínez, Eulalia. A New High-Order and Efficient Family of Iterative Techniques for Nonlinear Models. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1139941

American Medical Association (AMA)

Behl, Ramandeep& Martínez, Eulalia. A New High-Order and Efficient Family of Iterative Techniques for Nonlinear Models. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1139941

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1139941