Further, the dynamical behavior of the proposed method is revealed.
📌 3 Key Takeaways
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Objective & Hypothesis:Newton’s iteration method is widely used in numerical methods, but its convergence is low.
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Key Findings & Data:Here, we develop a two-step optimal fourth-order iterative method based on linear combination of two iterative schemes for nonlinear equations, and we explore the convergence criteria of the proposed method and also demonstrate its validity and efficiency by considering some test problems.
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Conclusion & Impact:Further, the dynamical behavior of the proposed method is revealed.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Iterative method · nonlinear equation · order of convergence
Abstract
Newton’s iteration method is widely used in numerical methods, but its convergence is low. Though a higher order iteration algorithm leads to a fast convergence, it is always complex. An optimal iteration formulation is much needed for both fast convergence and simple calculation. Here, we develop a two-step optimal fourth-order iterative method based on linear combination of two iterative schemes for nonlinear equations, and we explore the convergence criteria of the proposed method and also demonstrate its validity and efficiency by considering some test problems. We present both numerical as well as graphical comparisons. Further, the dynamical behavior of the proposed method is revealed.
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