关于凸函数次梯度强收敛性的研究

On the Strong Convergence of Subgradients of Convex Functions

Journal of Optimization Theory and Applications · 2018
被引 1
ABS 3

中文导读

研究了凸函数沿给定方向上次梯度的强收敛性,即考察凸函数沿给定方向上次微分并集的相对紧性(关于范数)。

Abstract

In this paper, results on the strong convergence of subgradients of convex functions along a given direction are presented; that is, the relative compactness (with respect to the norm) of the union of subdifferentials of a convex function along a given direction is investigated.

凸分析凸优化数学优化应用数学