<p>In this paper, we introduce a class of generalized linear complementarity problem(G-LCP), which only needs to satisfy the complementarity condition in a nonempty index set. Then, we propose subspace SSOR methods to solve G-LCP and prove that the iterations are contractions. It is pointed out that G-LCP can be applied to some convex quadratic programming problems. Numerical examples are tested to illustrate the efficiency of our proposed methods.</p>

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Subspace SSOR methods for a class of generalized linear complementarity problem

  • Ge Li,
  • Jicheng Li

摘要

In this paper, we introduce a class of generalized linear complementarity problem(G-LCP), which only needs to satisfy the complementarity condition in a nonempty index set. Then, we propose subspace SSOR methods to solve G-LCP and prove that the iterations are contractions. It is pointed out that G-LCP can be applied to some convex quadratic programming problems. Numerical examples are tested to illustrate the efficiency of our proposed methods.