Abstract
For a solvable monotone complementarity problem we show that each feasible point which is not a solution of the problem provides simple numerical bounds for some or all components of all solution vectors. Consequently for a solvable differentiable convex program each primal-dual feasible point which is not optimal provides simple bounds for some or all components of all primal-dual solution vectors. We also give an existence result and simple bounds for solutions of monotone compementarity problems satisfying a new, distributed constraint qualification. This result carries over to a simple existence and boundedness result for differentiable convex programs satisfying a similar constraint qualification.
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Additional information
Sponsored by the United States Army under Contract No. DAAG29-80-C-0041. This material is based on work sponsored by National Science Foundation Grants MCS-8200632 and MCS-8102684.
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Mangasarian, O.L., McLinden, L. Simple bounds for solutions of monotone complementarity problems and convex programs. Mathematical Programming 32, 32–40 (1985). https://doi.org/10.1007/BF01585657
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DOI: https://doi.org/10.1007/BF01585657