Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

More Efficient Fifth-Order Method for Solving Systems of Nonlinear Equations


Affiliations
1 D.A.V. College, Chandigarh, 160010, India
2 University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India
     

   Subscribe/Renew Journal


In this paper, we present a one-parameter family of fifth-order methods by extending Nedzhibov's third-order methods for solving systems of nonlinear equations. For a particular value of parameter, the new fifth-order method is more efficient as compared to the existing methods as its computational cost is less. Further, it requires two function evaluations, two first order Fr´echet derivatives and one matrix inversion per iteration. Numerical examples confirm that the proposed method is highly efficient and useful in solving systems of nonlinear equations.

Keywords

System of Nonlinear Equations, Order of Convergence, Newton’s Method, Higher Order Methods, Computational Efficiency.
Subscription Login to verify subscription
User
Notifications
Font Size


Abstract Views: 196

PDF Views: 1




  • More Efficient Fifth-Order Method for Solving Systems of Nonlinear Equations

Abstract Views: 196  |  PDF Views: 1

Authors

Mona Narang
D.A.V. College, Chandigarh, 160010, India
Saurabh Bhatia
University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India
V. Kanwar
University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India

Abstract


In this paper, we present a one-parameter family of fifth-order methods by extending Nedzhibov's third-order methods for solving systems of nonlinear equations. For a particular value of parameter, the new fifth-order method is more efficient as compared to the existing methods as its computational cost is less. Further, it requires two function evaluations, two first order Fr´echet derivatives and one matrix inversion per iteration. Numerical examples confirm that the proposed method is highly efficient and useful in solving systems of nonlinear equations.

Keywords


System of Nonlinear Equations, Order of Convergence, Newton’s Method, Higher Order Methods, Computational Efficiency.