Mathematics of Operations Research
A hierarchy of relaxation between the continuous and convex hull representations
SIAM Journal on Discrete Mathematics
Easy problems for tree-decomposable graphs
Journal of Algorithms
Wheel inequalities for stable set polytopes
Mathematical Programming: Series A and B
When Does the Positive Semidefiniteness Constraint Help in Lifting Procedures?
Mathematics of Operations Research
Proceedings of the 5th International IPCO Conference on Integer Programming and Combinatorial Optimization
An Explicit Exact SDP Relaxation for Nonlinear 0-1 Programs
Proceedings of the 8th International IPCO Conference on Integer Programming and Combinatorial Optimization
On the Matrix-Cut Rank of Polyhedra
Mathematics of Operations Research
A Comparison of the Sherali-Adams, Lovász-Schrijver, and Lasserre Relaxations for 0--1 Programming
Mathematics of Operations Research
Tour Merging via Branch-Decomposition
INFORMS Journal on Computing
Subset Algebra Lift Operators for 0-1 Integer Programming
SIAM Journal on Optimization
Discrete Applied Mathematics
Robust Algorithms for on Minor-Free Graphs Based on the Sherali-Adams Hierarchy
APPROX '09 / RANDOM '09 Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
On linear and semidefinite programming relaxations for hypergraph matching
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
Integrality gaps of linear and semi-definite programming relaxations for Knapsack
IPCO'11 Proceedings of the 15th international conference on Integer programming and combinatoral optimization
Approximate formulations for 0-1 knapsack sets
Operations Research Letters
Note: On the polyhedral lift-and-project methods and the fractional stable set polytope
Discrete Optimization
Sparsest cut on bounded treewidth graphs: algorithms and hardness results
Proceedings of the forty-fifth annual ACM symposium on Theory of computing
Hi-index | 0.00 |
We describe a connection between the tree-width of graphs and the Sherali-Adams reformulation procedure for 0/1 integer programs. For the case of vertex packing problems, our main result can be restated as follows: let G be a graph, let k=1 and let x@^@?R^V^(^G^) be a feasible vector for the formulation produced by applying the level-k Sherali-Adams algorithm to the edge formulation for STAB(G). Then for any subgraph H of G, of tree-width at most k, the restriction of x@^ to R^V^(^H^) is a convex combination of stable sets of H.