Abstract
The Levitin-Poljak gradient-projection method is applied to solve the linear complementarity problem with a nonsymmetric matrixM, which is either a positive-semidefinite matrix or aP-matrix. Further-more, if the quadratic functionx T(Mx + q) is pseudoconvex on the feasible region {x ∈R n |Mx + q ≥ 0,x≥0}, then the gradient-projection method generates a sequence converging to a solution, provided that the problem has a solution. For the case when the matrixM is aP-matrix and the solution is nondegenerate, the gradient-projection method is finite.
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Communicated by O. L. Mangasarian
This work is based on the author's PhD Dissertation, which was supported by NSF Grant No. MCS-79-01066 at the University of Wisconsin, Madison, Wisconsin.
The author would like to thank Professor O. L. Mangasarian for his guidance of the dissertation.
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Cheng, Y.C. On the gradient-projection method for solving the nonsymmetric linear complementarity problem. J Optim Theory Appl 43, 527–541 (1984). https://doi.org/10.1007/BF00935004
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DOI: https://doi.org/10.1007/BF00935004