Strict lower subdifferentiability and applications

Author:

Xu H.,Rubinov A. M.,Glover B. M.

Abstract

AbstractWe investigate the strict lower subdifferentiability of a real-valued function on a closed convex subset of Rn. Relations between the strict lower subdifferential, lower subdifferential, and the usual convex subdifferential are established. Furthermore, we present necessary and sufficient optimality conditions for a class of quasiconvex minimization problems in terms of lower and strict lower subdifferentials. Finally, a descent direction method is proposed and global convergence results of the consequent algorithm are obtained.

Publisher

Cambridge University Press (CUP)

Subject

Applied Mathematics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Strong subdifferentials: theory and applications in nonconvex optimization;Journal of Global Optimization;2022-03-19

2. An extension of the proximal point algorithm beyond convexity;Journal of Global Optimization;2021-09-06

3. A Projected Subgradient Method for Nondifferentiable Quasiconvex Multiobjective Optimization Problems;Journal of Optimization Theory and Applications;2021-05-31

4. A subgradient method for multiobjective optimization;Computational Optimization and Applications;2012-06-21

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