Three Efficient Memory-Based Iterative Methods for Finding Roots of Nonlinear Equations
摘要
The paper asserts to build higher-order iterative methods for solving nonlinear equations. These schemes utilize with-memory techniques and incorporate approximations of self-accelerating parameters. The enumeration of this parameter is achieved through the use of Hermite interpolating polynomials to advance the convergence rate of the without-memory scheme from 8 to 9.5826, 9.7958, and 10 without requiring any additional function evaluations. Computational results confirm that the newly proposed schemes are efficient and preferable compared to existing methods.