Publication Type : Conference Paper
Publisher : Springer Nature
Source : Advances in Intelligent Systems and Computing, 2020, 979, pp. 339–345
Url : https://link.springer.com/chapter/10.1007/978-981-15-3215-3_33
Campus : Coimbatore
School : School of Physical Sciences
Department : Mathematics
Year : 2020
Abstract : We describe an improved Secant-like method based on divided difference approximation of third derivative for optimization of univariate unconstrained function. The convergence rate of the method is discussed with sufficient number of numerical examples to show the applications of our method. The collation of our consequence with subsisting models are given.
Cite this Research Publication : Bhavani, R., Paramanathan, P., "An Improved Secant-Like Method and Its Convergence for Univariate Unconstrained Optimization," Advances in Intelligent Systems and Computing, 2020, 979, pp. 339–345