Theoretical analysis demonstrates convergence conditions for fixed point iterations in sparse linear complementarity systems, indicating wider utility for structured matrices.
In this article, we present a general form of the fixed point method for processing the large and sparse linear complementarity problem, as well as a general condition for the method's convergence when the system matrix is a \(P\)-matrix and some sufficient conditions for the proposed method when the system matrix is a \(H_+\)-matrix or symmetric positive definite matrix.
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Kumar et al. (2023) studied this question.
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