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Tensor Complementarity Problems—Part I: Basic Theory

Authors :
Liqun Qi
Zheng-Hai Huang
Source :
Journal of Optimization Theory and Applications. 183:1-23
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

Tensors (hypermatrices) are multidimensional analogs of matrices. The tensor complementarity problem is a class of nonlinear complementarity problems with the involved function being defined by a tensor, which is also a direct and natural extension of the linear complementarity problem. In the last few years, the tensor complementarity problem has attracted a lot of attention, and has been studied extensively, from theory to solution methods and applications. This work, with its three parts, aims at contributing to review the state-of-the-art of studies for the tensor complementarity problem and related models. In this part, we describe the theoretical developments for the tensor complementarity problem and related models, including the nonemptiness and compactness of the solution set, global uniqueness and solvability, error bound theory, stability and continuity analysis, and so on. The developments of solution methods and applications for the tensor complementarity problem are given in the second part and the third part, respectively. Some further issues are proposed in all the parts.

Details

ISSN :
15732878 and 00223239
Volume :
183
Database :
OpenAIRE
Journal :
Journal of Optimization Theory and Applications
Accession number :
edsair.doi...........22e2269d05dedb2fa09b7d9c92af0974
Full Text :
https://doi.org/10.1007/s10957-019-01566-z