Abstract
Ideas of a simplicial variable dimension restart algorithm to approximate zero points onR n developed by the authors and of a linear complementarity problem pivoting algorithm are combined to an algorithm for solving the nonlinear complementarity problem with lower and upper bounds. The algorithm can be considered as a modification of the2n-ray zero point finding algorithm onR n. It appears that for the new algorithm the number of linear programming pivot steps is typically less than for the2n-ray algorithm applied to an equivalent zero point problem. This is caused by the fact that the algorithm utilizes the complementarity conditions on the variables.
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This work is part of the VF-program “Equilibrium and Disequilibrium in Demand and Supply,” which has been approved by the Netherlands Ministry of Education and Sciences.
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van der Laan, G., Talman, A.J.J. Simplicial approximation of solutions to the nonlinear complementarity problem with lower and upper bounds. Mathematical Programming 38, 1–15 (1987). https://doi.org/10.1007/BF02591848
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DOI: https://doi.org/10.1007/BF02591848