Minimizers of the Maximum Distance Problem via an Analyst's Traveling Salesperson Algorithm
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866915863273144320 |
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| author | Alvarado, Enrique Ghinassi, Silvia Naples, Lisa |
| author_facet | Alvarado, Enrique Ghinassi, Silvia Naples, Lisa |
| contents | We provide an upper and lower bound for the length of Maximum Distance Problem minimizers in terms of a finite scale geometric square sum. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_14119 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Minimizers of the Maximum Distance Problem via an Analyst's Traveling Salesperson Algorithm Alvarado, Enrique Ghinassi, Silvia Naples, Lisa Metric Geometry Classical Analysis and ODEs 49Q20 We provide an upper and lower bound for the length of Maximum Distance Problem minimizers in terms of a finite scale geometric square sum. |
| title | Minimizers of the Maximum Distance Problem via an Analyst's Traveling Salesperson Algorithm |
| topic | Metric Geometry Classical Analysis and ODEs 49Q20 |
| url | https://arxiv.org/abs/2603.14119 |