Abstract:
The linear complementary problems in matrices were proposed by M Kajima at first, which were based on the linear complementary problems in the Euclidean space. At the same time, Kajima designed the interior point- algorithms’ theory frame for solving monotone linear matrix complementary problems. In this paper, we design the potential reduction function to solve monotone linear complementary problems in symmetric matrices, and prove that the algorithm is feasible and convergent.
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