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Generalized Polynomial Complementarity Problems over a Polyhedral Cone

Authors :
Guo-ji Tang
Tong-tong Shang
Jing Yang
Source :
Journal of Optimization Theory and Applications. 192:443-483
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

The goal of this paper is to investigate a new model, called generalized polynomial complementarity problems over a polyhedral cone and denoted by GPCPs, which is a natural extension of the polynomial complementarity problems and generalized tensor complementarity problems. Firstly, the properties of the set of all $$R^{K}_{{\varvec{0}}}$$ -tensors are investigated. Then, the nonemptiness and compactness of the solution set of GPCPs are proved, when the involved tensor in the leading term of the polynomial is an $$ER^{K}$$ -tensor. Subsequently, under fairly mild assumptions, lower bounds of solution set via an equivalent form are obtained. Finally, a local error bound of the considered problem is derived. The results presented in this paper generalize and improve the corresponding those in the recent literature.

Details

ISSN :
15732878 and 00223239
Volume :
192
Database :
OpenAIRE
Journal :
Journal of Optimization Theory and Applications
Accession number :
edsair.doi...........67b67f9d1abf2c6a25d3febd6e6b1a0a