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Article
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SIAM Journal on Optimization
Article . 1994 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1994
Data sources: DBLP
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Problems of Hierarchical Optimization in Finite Dimensions

Problems of hierarchical optimization in finite dimensions
Authors: Ruoxin Zhang;

Problems of Hierarchical Optimization in Finite Dimensions

Abstract

Summary: Two-level hierarchical optimization problems in finite dimensions are formally defined and the existence of solutions as well as various necesasry optimality conditions are studied under nonsmooth settings. The assumptions made to the problems allow the objectives of both levels to be nondifferentiable and the solutions to the lower-level problems to be multivalued. Techniques of nonsmooth analysis are the primary tools for deriving the results.

Keywords

nonsmooth analysis, Nonlinear programming, upper-Lipschitz multifunctions, semi-Lipschitz conditions, necesasry optimality conditions, Nonsmooth analysis, Hierarchical games (including Stackelberg games), two-level hierarchical optimization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
42
Top 10%
Top 10%
Top 10%
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