A relaxation accelerated two-sweep modulus-based matrix splitting iteration method for solving linear complementarity problems
Dongkai Li, Li Wang, Yuying Liu

TL;DR
This paper introduces a relaxation accelerated two-sweep matrix splitting iteration method for solving linear complementarity problems, demonstrating improved efficiency and convergence under specific matrix conditions.
Contribution
The paper proposes a novel relaxation accelerated two-sweep matrix splitting method with proven convergence for $H_+$-matrix systems, enhancing solution efficiency.
Findings
Method converges to exact solution for $H_+$-matrix systems.
Numerical experiments show improved efficiency over existing methods.
Convergence conditions are explicitly provided.
Abstract
For a linear complementarity problem, we present a relaxaiton accelerated two-sweep matrix splitting iteration method. The convergence analysis illustrates that the proposed method converges to the exact solution of the linear complementarity problem when the system matrix is an -matrix and the convergence conditions are given. Numerical experiments show that the proposed method is more efficient than the existing ones.
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Taxonomy
TopicsMatrix Theory and Algorithms · Advanced Optimization Algorithms Research · Iterative Methods for Nonlinear Equations
