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Linearized Methods for Tensor Complementarity Problems

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In this paper, we first propose a linearized method for solving the tensor complementarity problem. The subproblems of the method can be solved by solving linear complementarity problems with a… Click to show full abstract

In this paper, we first propose a linearized method for solving the tensor complementarity problem. The subproblems of the method can be solved by solving linear complementarity problems with a constant matrix. We show that if the initial point is appropriately chosen, then the generated sequence of iterates converges to a solution of the problem monotonically. We then propose a lower-dimensional equation method and establish its monotone convergence. The subproblems of the method are lower-dimensional systems of linear equations. At last, we do numerical experiments to test the proposed methods. The results show the efficiency of the proposed methods.

Keywords: complementarity problems; tensor complementarity; linearized methods; complementarity; methods tensor

Journal Title: Journal of Optimization Theory and Applications
Year Published: 2020

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