Iterative resolvent methods for general mixed variational inequalities

Muhammad Aslam Noor and Khalida Inayat Noor

International Journal of Stochastic Analysis, 2003, vol. 16, 1-12

Abstract:

In this paper, we use the technique of updating the solution to suggest and analyze a class of new self-adaptive splitting methods for solving general mixed variational inequalities. It is shown that these modified methods converge for pseudomonotone operators, which is a weaker condition than monotonicity. Proof of convergence is very simple. Since general mixed variational include variational inequalities and complementarity problems as special cases, our results continue to hold for these problems.

Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnijsa:430780

DOI: 10.1155/S1048953303000236

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