Yarn Ball Knots and Faster Computations
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2021
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| _version_ | 1866929207208050688 |
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| author | Bar-Natan, Dror Bar-Natan, Itai Halacheva, Iva Scherich, Nancy |
| author_facet | Bar-Natan, Dror Bar-Natan, Itai Halacheva, Iva Scherich, Nancy |
| contents | We make use of the 3D nature of knots and links to find savings in computational complexity when computing knot invariants such as the linking number and, in general, most finite type invariants. These savings are achieved in comparison with the 2D approach to knots using knot diagrams. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2108_10923 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Yarn Ball Knots and Faster Computations Bar-Natan, Dror Bar-Natan, Itai Halacheva, Iva Scherich, Nancy Geometric Topology 57K10 We make use of the 3D nature of knots and links to find savings in computational complexity when computing knot invariants such as the linking number and, in general, most finite type invariants. These savings are achieved in comparison with the 2D approach to knots using knot diagrams. |
| title | Yarn Ball Knots and Faster Computations |
| topic | Geometric Topology 57K10 |
| url | https://arxiv.org/abs/2108.10923 |