(1) Department of Mathematical Sciences, Clemson University, 29634-1907 Clemson, SC, USA
Abstract:
An equivalence is demonstrated between solving a linear complementarity problem with general data and finding a certain subset of the efficient points of a multiple objective programming problem. A new multiple objective programming based approach to solving linear complementarity problems is presented. Results on existence, uniqueness and computational complexity are included.