In this study, a three-point iterative method for solving nonlinear equations is presented. The purpose is to upgrade a fourth order iterative method by adding one Newton step and using a proportional approximation for last derivative. Per iteration this method needs three evaluations of the function and one evaluation of its first derivatives. In addition, the efficiency index of the developed method is 84≈1.682 which supports the Kung-Traub conjecture on the optimal order of convergence. Moreover, numerical and graphical comparison of the proposed method with other existing methods with the same order of convergence are given.
A multi-point iterative method for solving nonlinear equations with optimal order of convergence / Salimi, M.; Nik Long, N. M. A.; Sharifi, S.; Pansera, B. A.. - In: JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS. - ISSN 0916-7005. - 35:2(2018), pp. 497-509. [10.1007/s13160-017-0294-4]
A multi-point iterative method for solving nonlinear equations with optimal order of convergence
Pansera B. A.
2018-01-01
Abstract
In this study, a three-point iterative method for solving nonlinear equations is presented. The purpose is to upgrade a fourth order iterative method by adding one Newton step and using a proportional approximation for last derivative. Per iteration this method needs three evaluations of the function and one evaluation of its first derivatives. In addition, the efficiency index of the developed method is 84≈1.682 which supports the Kung-Traub conjecture on the optimal order of convergence. Moreover, numerical and graphical comparison of the proposed method with other existing methods with the same order of convergence are given.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
