A Reply to Hofman On: "Why LP cannot solve large instances of NP-complete problems in polynomial time"
Moustapha Diaby

TL;DR
This paper critiques Hofman's claim that NP-complete problems cannot be solved by polynomial-sized linear programs, demonstrating his counter-example to TSP and QAP formulations is flawed and invalid.
Contribution
The paper refutes Hofman's proposed counter-example, reinforcing the limitations of linear programming approaches for NP-complete problems.
Findings
Hofman's construct is flawed
His counter-example to TSP and QAP is invalid
Linear programming cannot solve large NP-complete problems in polynomial time
Abstract
Using an approach that seems to be patterned after that of Yannakakis, Hofman argues that an NP-complete problem cannot be formulated as a polynomial bounded-sized linear programming problem. He then goes on to propose a "construct" that he claims to be a counter-example to recently published linear programming formulations of the Traveling Salesman Problem (TSP) and the Quadratic Assignment Problems (QAP), respectively. In this paper, we show that Hofman's construct is flawed, and provide further proof that his "counter-example" is invalid.
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
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Computational Geometry and Mesh Generation
