A class of second-order cone eigenvalue complementarity problems for higher-order tensors
Jiaojiao Hou, Chen Ling, Hongjin He

TL;DR
This paper introduces reformulations of the second-order cone tensor eigenvalue complementarity problem, enabling better analysis and solution methods, with preliminary numerical results supporting the theoretical developments.
Contribution
It presents three reformulations of SOCTEiCP, including variational inequality and nonlinear programming models, facilitating analysis and solver development.
Findings
Equivalence to variational inequality under certain conditions
Reformulation as nonlinear programming problems for symmetric cases
Preliminary numerical results verify theoretical models
Abstract
In this paper, we consider the second-order cone tensor eigenvalue complementarity problem (SOCTEiCP) and present three different reformulations to the model under consideration. Specifically, for the general SOCTEiCP, we first show its equivalence to a particular variational inequality under reasonable conditions. A notable benefit is that such a reformulation possibly provides an efficient way for the study of properties of the problem. Then, for the symmetric and sub-symmetric SOCTEiCPs, we reformulate them as appropriate nonlinear programming problems, which are extremely beneficial for designing reliable solvers to find solutions of the considered problem. Finally, we report some preliminary numerical results to verify our theoretical results.
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Taxonomy
TopicsTensor decomposition and applications · Matrix Theory and Algorithms · Advanced Optimization Algorithms Research
