Stationarity in nonsmooth optimization between geometrical motivation and topological relevance

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1. Verfasser: Shikhman, Vladimir
Format: Preprint
Veröffentlicht: 2024
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author Shikhman, Vladimir
author_facet Shikhman, Vladimir
contents The goal of this paper is to compare alternative stationarity notions in structured nonsmooth optimization (SNO). Here, nonsmoothness is caused by complementarity, vanishing, orthogonality type, switching, or disjunctive constraints. On one side, we consider geometrically motivated notions of $\widehat N$-, $N$-, and $\overline{N}$-stationarity in terms of Fréchet, Mordukhovich, and Clarke normal cones to the feasible set, respectively. On the other side, we advocate the notion of topologically relevant T-stationarity, which adequately captures the global structure of SNO. Our main findings say that (a) $\widehat N$-stationary points include all local minimizers; (b) $N$-stationary points, which are not $\widehat N$-stationary, correspond to the singular saddle points of first order; (c) T-stationary points, which are not $N$-stationary, correspond to the regular saddle points of first order; (d) $\overline{N}$-stationary points, which are not T-stationary, are irrelevant for optimization purposes. Overall, a hierarchy of stationarity notions for SNO is established.
format Preprint
id arxiv_https___arxiv_org_abs_2409_04222
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Stationarity in nonsmooth optimization between geometrical motivation and topological relevance
Shikhman, Vladimir
Optimization and Control
90C26, 90C33, 49J52, 49J53
The goal of this paper is to compare alternative stationarity notions in structured nonsmooth optimization (SNO). Here, nonsmoothness is caused by complementarity, vanishing, orthogonality type, switching, or disjunctive constraints. On one side, we consider geometrically motivated notions of $\widehat N$-, $N$-, and $\overline{N}$-stationarity in terms of Fréchet, Mordukhovich, and Clarke normal cones to the feasible set, respectively. On the other side, we advocate the notion of topologically relevant T-stationarity, which adequately captures the global structure of SNO. Our main findings say that (a) $\widehat N$-stationary points include all local minimizers; (b) $N$-stationary points, which are not $\widehat N$-stationary, correspond to the singular saddle points of first order; (c) T-stationary points, which are not $N$-stationary, correspond to the regular saddle points of first order; (d) $\overline{N}$-stationary points, which are not T-stationary, are irrelevant for optimization purposes. Overall, a hierarchy of stationarity notions for SNO is established.
title Stationarity in nonsmooth optimization between geometrical motivation and topological relevance
topic Optimization and Control
90C26, 90C33, 49J52, 49J53
url https://arxiv.org/abs/2409.04222