English

Minima distribution for global optimization

Optimization and Control 2019-05-27 v4 Machine Learning Neural and Evolutionary Computing Numerical Analysis

Abstract

This paper establishes a strict mathematical relationship between an arbitrary continuous function on a compact set and its global minima, like the well-known first order optimality condition for convex and differentiable functions. By introducing a class of nascent minima distribution functions that is only related to the target function and the given compact set, we construct a sequence that monotonically converges to the global minima on that given compact set. Then, we further consider some various sequences of sets where each sequence monotonically shrinks from the original compact set to the set of all global minimizers, and the shrink rate can be determined for continuously differentiable functions. Finally, we provide a different way of constructing the nascent minima distribution functions.

Keywords

Cite

@article{arxiv.1812.03457,
  title  = {Minima distribution for global optimization},
  author = {Xiaopeng Luo},
  journal= {arXiv preprint arXiv:1812.03457},
  year   = {2019}
}

Comments

19 pages, 6 figures

R2 v1 2026-06-23T06:36:33.850Z