Theory of linear and integer programming
Theory of linear and integer programming
Node-packing problems with integer rounding properties
SIAM Journal on Discrete Mathematics
Approximation algorithms
Lectures on Discrete Geometry
Integer Decomposition for Polyhedra Defined by Nearly Totally Unimodular Matrices
SIAM Journal on Discrete Mathematics
The complexity of recognizing linear systems with certain integrality properties
Mathematical Programming: Series A and B
Computing the integer programming gap
Combinatorica
Recognizing conic TDI systems is hard
Mathematical Programming: Series A and B
Colorings of k-balanced matrices and integer decomposition property of related polyhedra
Operations Research Letters
Hi-index | 0.00 |
We consider the problem of testing whether the maximum additive integrality gap of a family of integer programs in standard form is bounded by a given constant. This can be viewed as a generalization of the integer rounding property, which can be tested in polynomial time if the number of constraints is fixed. It turns out that this generalization is NP-hard even if the number of constraints is fixed. However, if, in addition, the objective is the all-one vector, then one can test in polynomial time whether the additive gap is bounded by a constant.