2017
DOI: 10.1515/tmj-2017-0049
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New seventh and eighth order derivative free methods for solving nonlinear equations

Abstract: The purpose of this work is to develop two new iterative methods for solving nonlinear equations which does not require any derivative evaluations. These composed formulae have seventh and eighth order convergence and desire only four function evaluations per iteration which support the Kung-Traub conjecture on optimal order for without memory schemes. Finally, numerical comparison is provided to show its effectiveness and performances over other similar iterative algorithms in high precision computation.

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Cited by 2 publications
(1 citation statement)
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“…Applications to diverse problems and comparisons with established methods are conducted to assess their effectiveness. [16] suggests two innovative iterative methods for solving nonlinear equations, demonstrating seventh and eighth-order convergence and requiring only four function evaluations per iteration, aligning with the Kung-Traub conjecture on optimal order for schemes without memory. Moreover, [26] presents three iterative methods of orders three, six, and seven for solving nonlinear equations.…”
Section: Introductionmentioning
confidence: 85%
“…Applications to diverse problems and comparisons with established methods are conducted to assess their effectiveness. [16] suggests two innovative iterative methods for solving nonlinear equations, demonstrating seventh and eighth-order convergence and requiring only four function evaluations per iteration, aligning with the Kung-Traub conjecture on optimal order for schemes without memory. Moreover, [26] presents three iterative methods of orders three, six, and seven for solving nonlinear equations.…”
Section: Introductionmentioning
confidence: 85%