Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2075
Title: Reformulations of mathematical programming problems as linear complementarity problems
Authors: Judice, JJ
Mitra, G
Issue Date: 1982
Publisher: Brunel University
Citation: Maths Technical Papers (Brunel University). July 1982, pp 1-26
Abstract: A family of complementarity problems are defined as extensions of the well known Linear Complementarity Problem (LCP). These are (i.) Second Linear Complementarity Problem (SLCP) which is an LCP extended by introducing further equality restrictions and unrestricted variables, (ii.) Minimum Linear Complementarity Problem (MLCP) which is an LCP with additional variables not required to be complementary and with a linear objective function which is to be minimized, (iii.) Second Minimum Linear Complementarity Problem (SMLCP) which is an MLCP but the nonnegative restriction on one of each pair of complementary variables is relaxed so that it is allowed to be unrestricted in value. A number of well known mathematical programming problems, namely quadratic programming (convex, nonconvex, pseudoconvex nonconvex), bilinear programming, game theory, zero-one integer programming, the fixed charge problem, absolute value programming, variable separable programming are reformulated as members of this family of four complementarity problems.
URI: http://bura.brunel.ac.uk/handle/2438/2075
Appears in Collections:Mathematical Science
Dept of Mathematics Research Papers

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