TL;DR
This paper presents an algorithm and implementation for computing Khovanov-Rozansky homology, enabling the calculation of categorified sl(N) link invariants for various links and N values.
Contribution
The authors develop a new algorithm to reduce tensor products of matrix factorizations to finite rank and implement it in Singular, facilitating practical computations of link invariants.
Findings
Successfully computed Khovanov-Rozansky homology for multiple links
Implemented an efficient algorithm in Singular for tensor product reduction
Enabled calculations of invariants for various N values
Abstract
We compute the categorified sl(N) link invariants as defined by Khovanov and Rozansky, for various links and values of N. This is made tractable by an algorithm for reducing tensor products of matrix factorisations to finite rank, which we implement in the computer algebra package Singular.
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
