Abstract
In this paper, we introduce a unified framework of Tensor Higher-Degree Eigenvalue Complementarity Problem (THDEiCP), which goes beyond the framework of the typical Quadratic Eigenvalue Complementarity Problem for matrices. First, we study some topological properties of higher-degree cone eigenvalues of tensors. Based upon the symmetry assumptions on the underlying tensors, we then reformulate THDEiCP as a weakly coupled homogeneous polynomial optimization problem, which might be greatly helpful for designing implementable algorithms to solve the problem under consideration numerically. As more general theoretical results, we present the results concerning existence of solutions of THDEiCP without symmetry conditions. Finally, we propose an easily implementable algorithm to solve THDEiCP, and report some computational results.
Original language | English |
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Pages (from-to) | 149-176 |
Number of pages | 28 |
Journal | Computational Optimization and Applications |
Volume | 64 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 May 2016 |
Keywords
- Alternating direction method of multipliers
- Augmented Lagrangian method
- Eigenvalue complementarity problem
- Higher-degree cone eigenvalue
- Polynomial optimization problem
- Tensor
ASJC Scopus subject areas
- Control and Optimization
- Computational Mathematics
- Applied Mathematics