Hamiltonicity Parameterized by Mim-Width is (Indeed) Para-NP-Hard
Benjamin Bergougnoux, Lars Jaffke

TL;DR
This paper establishes that solving Hamiltonian Path and Cycle problems remains NP-hard even on graphs with bounded mim-width 26, resolving a previous gap in the literature regarding their complexity.
Contribution
It proves the para-NP-hardness of Hamiltonicity problems on graphs with mim-width 26, correcting a previous incomplete proof.
Findings
NP-hardness of Hamiltonian problems on graphs with mim-width 26
Provides a complete proof filling previous gaps
Shows hardness persists even with a given linear mim-width order
Abstract
We prove that Hamiltonian Path and Hamiltonian Cycle are NP-hard on graphs of linear mim-width 26, even when a linear order of the input graph with mim-width 26 is provided together with input. This fills a gap left by a broken proof of the para-NP-hardness of Hamiltonicity problems parameterized by mim-width.
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.
