Abstract
Given a square matrixM of ordern and a vectorq ∈ ℝn, the linear complementarity problem is the problem of either finding aw ∈ ℝn and az ∈ ℝn such thatw−Mz=q,w≥0,z≥0 andw T z=0 or showing that no such (w, z) exists. This problem is denoted asLCP(q, M). We say that a solution (w, z) toLCP(q, M) is degenerate if the number of positive coordinates in (w, z) is less thann. As in linear programming, degeneracy may cause cycling in an adjacent vertex following methods like Lemke's algorithm. Moreover, ifLCP(0,M) has a nontrivial solution, a condition related to degeneracy, then unless certain other conditions are satisfied, the algorithm may not be able to decide about the solvability of the givenLCP(q, M). In this paper we review the literature on the implications of degeneracy to the linear complementarity theory.
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Mohan, S.R. Degeneracy in linear complementarity problems: a survey. Ann Oper Res 46, 179–194 (1993). https://doi.org/10.1007/BF02096262
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DOI: https://doi.org/10.1007/BF02096262