Big data approach to Kazhdan-Lusztig polynomials
Not on the map. Why?
Abstract (arXiv)
We investigate the structure of Kazhdan-Lusztig polynomials of the symmetric group by leveraging computational approaches from big data, including exploratory and topological data analysis, applied to the polynomials for symmetric groups of up to 11 strands.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Dec 2024.
Builds on
0 of 0 references.
No references here yet.
Built on by
Citing papers per year: 2025: 3; 2026: 1.
4 papers.
- 2025Big data comparison of quantum invariantscited by 3
- 2025On detection probabilities of link invariantscited by 2
- 2025On knot detection via picture recognitioncited by 2
- 2026RL unknotter, hard unknots and unknotting numbercited by 0
- 2026RL unknotter, hard unknots and unknotting number9 Mar 2026
- 2025On knot detection via picture recognition6 Oct 2025
- 2025On detection probabilities of link invariants6 Sep 2025
- 2025Big data comparison of quantum invariants20 Mar 2025