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An exterior point algorithm for some linear complementarity problems with applications

Ali Hassan, H.L. Abdel-Malek, Iman Mohamad Sharaf

Year
2007
Citations
3

Abstract

An exterior point algorithm for positive definite (PD) and positive semidefinite (PSD) linear complementarity problems (LCPs) is introduced. The algorithm exploits the ellipsoid method to find a starting point in the case of positive definite linear complementarity problems (PDLCPs) and to check for the problem feasibility in case of positive semidefinite linear complementarity problems (PSDLCPs). The algorithm starts from a point on the boundary on which the complementarity condition is satisfied and generates a sequence of points on that same boundary. These points converge to the solution. The algorithm is modified to speed up the convergence for some PDLCPs and PSDLCPs that arise in certain mechanical models. A numerical example and a practical example in robotics are solved to test the algorithm.

Keywords

Complementarity (molecular biology)Complementarity theoryLinear complementarity problemMathematicsMixed complementarity problemSemidefinite embeddingMathematical optimizationAlgorithmPositive-definite matrixLinear programming

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