Dynamic data structures for twin-ordered matrices
Fuente:
arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866915810989047808 |
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| author | Bosek, Bartłomiej Czyżewska, Jadwiga Kipouridis, Evangelos Nadara, Wojciech Pilipczuk, Michał Węgrzycki, Karol Zych-Pawlewicz, Anna |
| author_facet | Bosek, Bartłomiej Czyżewska, Jadwiga Kipouridis, Evangelos Nadara, Wojciech Pilipczuk, Michał Węgrzycki, Karol Zych-Pawlewicz, Anna |
| contents | We present a dynamic data structure for representing binary $n\times n$ matrices that are $d$-twin-ordered, for a~fixed parameter $d$. Our structure supports cell queries and single-cell updates both in $\Oh(\log \log n)$ expected worst case time, while using $\Oh_d(n)$ memory; here, the $\Oh_d(\cdot)$ notation |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_18770 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Dynamic data structures for twin-ordered matrices Bosek, Bartłomiej Czyżewska, Jadwiga Kipouridis, Evangelos Nadara, Wojciech Pilipczuk, Michał Węgrzycki, Karol Zych-Pawlewicz, Anna Data Structures and Algorithms We present a dynamic data structure for representing binary $n\times n$ matrices that are $d$-twin-ordered, for a~fixed parameter $d$. Our structure supports cell queries and single-cell updates both in $\Oh(\log \log n)$ expected worst case time, while using $\Oh_d(n)$ memory; here, the $\Oh_d(\cdot)$ notation |
| title | Dynamic data structures for twin-ordered matrices |
| topic | Data Structures and Algorithms |
| url | https://arxiv.org/abs/2602.18770 |