Modified King’s Family for Multiple Zeros of Scalar Nonlinear Functions

Abstract

There is no doubt that there is plethora of optimal fourth-order iterative approaches available to estimate the simple zeros of nonlinear functions. We can extend these method/methods for multiple zeros but the main issue is to preserve the same convergence order. Therefore, numerous optimal and non-optimal modifications have been introduced in the literature to preserve the order of convergence. Such count of methods that can estimate the multiple zeros are limited in the scientific literature. With this point, a new optimal fourth-order scheme is presented for multiple zeros with known multiplicity. The proposed scheme is based on the weight function strategy involving functions in ratio. Moreover, the scheme is optimal as it satisfies the hypothesis of Kung–Traub conjecture. An exhaustive study of the convergence is shown to determine the fourth order of the methods under certain conditions. To demonstrate the validity and appropriateness for the proposed family, several numerical experiments have been performed. The numerical comparison highlights the effectiveness of scheme in terms of accuracy, stability, and CPU time.

An optimal derivative-free King's family for multiple zeros and its dynamics

“…In the literature, several variants of King's family have been developed and analyzed for approximating the simple zeros of nonlinear functions. Recently, Behl et al (2020b) extended King's family using derivatives for multiple zeros of a function. Going a step further, Behl et al (2020a) presented Ostrowski's method (a special case of King's family) without using derivatives for multiple roots.…”

“…In the literature, several variants of King's family have been developed and analyzed for approximating the simple zeros of nonlinear functions. Recently, Behl et al. (2020b) extended King's family using derivatives for multiple zeros of a function.…”