Abstract

In this study, we construct a family of single root finding method of optimal order four and then generalize this family for estimating of all roots of non-linear equation simultaneously. Convergence analysis proves that the local order of convergence is four in case of single root finding iterative method and six for simultaneous determination of all roots of non-linear equation. Some non-linear equations are taken from physics, chemistry and engineering to present the performance and efficiency of the newly constructed method. Some real world applications are taken from fluid mechanics, i.e., fluid permeability in biogels and biomedical engineering which includes blood Rheology-Model which as an intermediate result give some nonlinear equations. These non-linear equations are then solved using newly developed simultaneous iterative schemes. Newly developed simultaneous iterative schemes reach to exact values on initial guessed values within given tolerance, using very less number of function evaluations in each step. Local convergence order of single root finding method is computed using CAS-Maple. Local computational order of convergence, CPU-time, absolute residuals errors are calculated to elaborate the efficiency, robustness and authentication of the iterative simultaneous method in its domain.

Highlights

  • Finding roots of non-linear equation f ðxÞ 1⁄4 0; (1)Is the one of the primal problems of science and engineering

  • In this study, we construct a family of single root finding method of optimal order four and generalize this family for estimating of all roots of non-linear equation simultaneously

  • Convergence analysis proves that the local order of convergence is four in case of single root finding iterative method and six for simultaneous determination of all roots of non-linear equation

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Summary

Introduction

Finding roots of non-linear equation f ðxÞ 1⁄4 0; (1). Is the one of the primal problems of science and engineering. Non-linear equation arise almost in all fields of science. To approximate the root of Eq (1), researchers and engineers look towards numerical iterative techniques, which are further classified to approximate single [1–7] and all roots of Eq (1). We work on both types of iterative methods.

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