Implicit representation of generalized variable upper bounds in linear programming
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TL;DR
A class of constraints called generalized VUB [GVUB] is introduced which includes GUB and VUB as special cases and is a method for representing GVUB constraints implicitly within the mechanics of the simplex method.
Abstract
In certain linear programs, especially those derived from integer programs, large numbers of constraints may have very simple form. Examples are:x ij ≤ 1 (simple upper bounds [SUB]),Σ i x ij = 1 (generalized upper bounds [GUB]) andx ij ≤ y i (variable upper bounds [VUB]). A class of constraints called generalized VUB [GVUB] is introduced which includes GUB and VUB as special cases. Also introduced is a method for representing GVUB constraints implicitly within the mechanics of the simplex method.
