Big data approach to Kazhdan-Lusztig polynomials
Overview & Synopsis
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.
Indexed from repository: HAL Open Science
(
hal.science)
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Document Information
| Document Title | Big data approach to Kazhdan-Lusztig polynomials |
|---|---|
| Author / Organization | Abel Lacabanne, Daniel Tubbenhauer, Pedro Vaz |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2024 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-92435 |
| Original Source Link | Visit Source Page on hal.science » |