An Improved Secant Type Method for Solving Nonlinear Optimization Problems
Abstract
Abstract This project introduces an improved version of the Modern secant- kind method for solving nonlinear optimization problems. Steffensen’s method is used to generate the initial approximation, eliminating the need for second derivative calculations and improving computational efficiency. Numerical results obtained from seven test problems demonstrate that the proposed method converges faster with fewer iterations and requires less computational time compared to Newton’s method and the Modern secant-kind method. AMS Subject Classification: 65K05, 65H05 Keywords: Nonlinear optimization, Newton’s method, Secant method, Steffensen’s method, Modern secant-kind method.
Fields of Study & Subjects
Iterative Methods for Nonlinear Equations
Advanced Optimization Algorithms Research
Metaheuristic Optimization Algorithms Research
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 January 2026
- Language
- EN