Numerical analysis: an introduction
Numerical analysis: an introduction
Some variant of Newton's method with third-order convergence
Applied Mathematics and Computation
The Mathematica Book
Geometric constructions of iterative functions to solve nonlinear equations
Journal of Computational and Applied Mathematics
A modified Newton method for rootfinding with cubic convergence
Journal of Computational and Applied Mathematics
A modified Newton method with cubic convergence: the multivariate case
Journal of Computational and Applied Mathematics
Some iterative methods for solving a system of nonlinear equations
Computers & Mathematics with Applications
Iterative methods of order four and five for systems of nonlinear equations
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
An efficient fifth order method for solving systems of nonlinear equations
Computers & Mathematics with Applications
A three-step iterative method for non-linear systems with sixth order of convergence
International Journal of Computing Science and Mathematics
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In this paper, we develop a fourth order method for solving the systems of nonlinear equations. The algorithm is composed of two weighted-Newton steps and requires the information of one function and two first Fréchet derivatives. Therefore, for a system of n equations, per iteration it uses n驴+驴2n 2 evaluations. Computational efficiency is compared with Newton's method and some other recently published methods. Numerical tests are performed, which confirm the theoretical results. From the comparison with known methods it is observed that present method shows good stability and robustness.