Subspace SSOR methods for a class of generalized linear complementarity problem
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.