For , these inequalities define a deformed cube with vertices of a polytope. Choose either the lower or upper bound recursively at each coordinate to obtain a vertex of a polytope; changing one choice gives an adjacent vertex of a polytope. When maximizing , smallest-index improving-facet pivoting visits all vertices of a polytope: first traverse the lower last-coordinate face, then move to the upper face and traverse the preceding path in reverse. Thus this geometric version of the Bland pivoting rule can require pivots. Rescaling the coordinate to makes the positive rate per unit freed coordinate equal to ; Dantzig pivot rule then selects the same exponential path. Euclidean edge-length pricing is a different rule.
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The Klee–Minty cube is a specific example of a convex polytope that is often used in the context of linear programming and optimization problems. It is particularly known for its role in demonstrating the limitations of certain types of algorithms, especially the simplex method. The Klee–Minty cube is an example of a "non-simple" polytope, which means that it has many facets but can be difficult for simplex methods to optimize in a straightforward manner.