Roof duality for polynomial 0-1 optimization
Mathematical Programming: Series A and B
An extension of the Ko¨nig-Egerva´ry property to node-weighted bidirected graphs
Mathematical Programming: Series A and B
The Boolean quadric polytope: some characteristics, facets and relatives
Mathematical Programming: Series A and B
Testing the necklace condition for shortest tours and optimal factors in the plane
Theoretical Computer Science
The cut polytope and the Boolean quadric polytope
Discrete Mathematics
A hierarchy of relaxation between the continuous and convex hull representations
SIAM Journal on Discrete Mathematics
Combinatorial algorithms for Boolean and pseudo-Boolean functions
Combinatorial algorithms for Boolean and pseudo-Boolean functions
Tight bounds and 2-approximation algorithms for integer programs with two variables per inequality
Mathematical Programming: Series A and B
Discrete Applied Mathematics
Discrete Applied Mathematics
Persistency in 0-1 Polynomial Programming
Mathematics of Operations Research
Discrete Applied Mathematics
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Reformulation techniques are commonly used to transform 0-1 quadratic problems into equivalent, mixed 0-1 linear programs. A classical strategy is to replace each quadratic term with a continuous variable and to enforce, for each such product, four linear inequalities that ensure the continuous variable equals the associated product. By employing a transformation of variables, we show how such inequalities give rise to a network structure, so that the continuous relaxations can be readily solved. This work unifies and extends related results for the vertex packing problem and relatives, and roof duality.