An Optimal Interpolation Set for Model-Based Derivative-Free Optimization Methods

Published: 2023/02/27, Updated: 2024/01/31

Nonlinear Optimization derivative-free optimization, Derivative-free symmetric Broyden update, model-based methods, Underdetermined quadratic interpolation, Well-poisedness Short URL: https://optimization-online.org/?p=22103

This paper demonstrates the optimality of an interpolation set employed in derivative-free trust-region methods. This set is optimal in the sense that it minimizes the constant of well-poisedness in a ball centred at the starting point. It is chosen as the default initial interpolation set by many derivative-free trust-region methods based on underdetermined quadratic interpolation, including NEWUOA, BOBYQA, LINCOA, and COBYQA. Our analysis provides a theoretical justification for this choice.

Citation

Tom M. Ragonneau and Zaikun Zhang. "An Optimal Interpolation Set for Model-Based Derivative-Free Optimization Methods." arXiv preprint arXiv:2302.09992 (2023).

Article

Download

View An Optimal Interpolation Set for Model-Based Derivative-Free Optimization Methods