Abstract:
There is an increasing demand for numerical methods to obtain accurate approximate
solutions for nonlinear models based upon polynomials and transcendental equations under both
single and multivariate variables. Keeping in mind the high demand within the scientific literature,
we attempt to devise a new nonlinear three-step method with tenth-order convergence while using
six functional evaluations (three functions and three first-order derivatives) per iteration. The method
has an efficiency index of about 1.4678, which is higher than most optimal methods. Convergence
analysis for single and systems of nonlinear equations is also carried out. The same is verified
with the approximated computational order of convergence in the absence of an exact solution.
To observe the global fractal behavior of the proposed method, different types of complex functions
are considered under basins of attraction. When compared with various well-known methods, it
is observed that the proposed method achieves prespecified tolerance in the minimum number of
iterations while assuming different initial guesses. Nonlinear models include those employed in
science and engineering, including chemical, electrical, biochemical, geometrical, and meteorological
models.
