On the Complexity of Separating Cutting Planes for the Knapsack Polytope
Alberto Del Pia, Jeff Linderoth, Haoran Zhu

TL;DR
This paper proves that separating certain classes of inequalities for the knapsack polytope is NP-complete, but identifies special cases where separation can be done efficiently, advancing understanding of computational complexity in integer programming.
Contribution
The paper establishes NP-completeness for separation problems of extended cover, (1,k)-configuration, and weight inequalities, and identifies polynomial-time solvable cases.
Findings
Separation for extended cover inequalities is NP-complete.
Separation for (1,k)-configuration inequalities is NP-complete.
Separation for weight inequalities is NP-complete.
Abstract
We close three open problems in the separation complexity of valid inequalities for the knapsack polytope. Specifically, we establish that the separation problems for extended cover inequalities, (1,k)-configuration inequalities, and weight inequalities are all NP-complete. We also give a number of special cases where the separation problem can be solved in polynomial time.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptimization and Packing Problems · Material Properties and Processing · Computational Geometry and Mesh Generation
