A new predictor-corrector method for noncoercive mixed variational inequalities (original) (raw)

Korean Journal of Computational & Applied Mathematics, 2000

Abstract

In this paper, we use the auxiliary principle technique to suggest and analyze a class of predictor-corrector methods for solving noncoercive mixed variational inequalities. The convergence of the proposed method requires only the partially relaxed strongly monotonicity, which is even weaker than the co-coercivity. As special cases, we obtain a number of new and known results for classical variational inequalities.

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