Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/33967
Title: Regularization algorithms for linear copositive programming problems: an Approach based on the concept of immobile indices
Author: Kostyukova, Olga
Tchemisova, Tatiana
Keywords: Linear copositive programming
Normalized immobile index set
Regularization algorithm
Minimal cone
Facial reduction
Issue Date: Feb-2022
Publisher: MDPI
Abstract: In this paper, we continue an earlier study of the regularization procedures of linear copositive problems and present new algorithms that can be considered as modifications of the algorithm described in our previous publication, which is based on the concept of immobile indices. The~main steps of the regularization algorithms proposed in this paper are explicitly described and interpreted from the point of view of the facial geometry of the cone of copositive matrices. The~results of the paper provide a deeper understanding of the structure of feasible sets of copositive problems and can be useful for developing a duality theory for these problems.
Peer review: yes
URI: http://hdl.handle.net/10773/33967
DOI: 10.3390/a15020059
Appears in Collections:CIDMA - Artigos
DMat - Artigos
OGTCG - Artigos

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