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Interior-point algorithms for monotone affine variational inequalities

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Abstract

Given ann×n matrixM, a vectorq in ℝn, a polyhedral convex setX={x|Ax≤b, Bx=d}, whereA is anm×n matrix andB is ap×n matrix, the affinne variational inequality problem is to findx∈X such that (Mx+q)T(y−x)≥0 for ally∈X. IfM is positive semidefinite (not necessarily symmetric), the affine variational inequality can be transformeo to a generalized complementarity problem, which can be solved in polynomial time using interior-point algorithms due to Kojima et al. We develop interior-point algorithms that exploit the particular structure of the problem, rather than direictly reducing the problem to a standard linear complemntarity problem.

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Communicatied cy O. L. Mangasarian

This work was partially supported by the Air Force Office of Scientific Research, Grant AFOSR-89-0410 and the National Science Foundation, Grant CCR-91-57632.

The authors acknowledge Professor Osman Güler for pointing out the valoidity of Theorem 2.1 without further assumptions and the proof to that effect. They are also grateful for his comments to improve the presentation of this paper.

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Cao, M., Ferris, M.C. Interior-point algorithms for monotone affine variational inequalities. J Optim Theory Appl 83, 269–283 (1994). https://doi.org/10.1007/BF02190057

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