A new filter method for solving nonlinear complementarity problems

Recently, filter methods are extensively studied to handle nonlinear programming problems. Because of good numerical results, filter techniques are attached importance to. In this paper, filter approaches are employed to tackle nonlinear complementarity problems. Furthermore, a new filter algorithm is brought forward. Under a proper condition, local Q-superlinear and Q-quadratic convergence of the algorithm is established.