On the Relationship between $\Lambda$-poisedness in Derivative-Free Optimization and Outliers in Local Outlier Factor
Abstract
Derivative-free optimization (DFO) is a method that does not require the calculation of gradients or higher-order derivatives of the objective function, making it suitable for cases where the objective function is non-differentiable or the computation of derivatives is expensive. This communication discusses the importance of \(\Lambda\)-poisedness in DFO and the outliers detected by the Local Outlier Factor (LOF) on the optimization process. We discuss the relationship between \(\Lambda\)-poisedness in derivative-free optimization and outliers in local outlier factor.
- Publication:
-
arXiv e-prints
- Pub Date:
- July 2024
- DOI:
- 10.48550/arXiv.2407.17529
- arXiv:
- arXiv:2407.17529
- Bibcode:
- 2024arXiv240717529Z
- Keywords:
-
- Mathematics - Optimization and Control
- E-Print:
- 11 figures