Deterministic Fully Dynamic SSSP and More
Deterministic Fully Dynamic SSSP and More
复制标题
确定性全动态 SSSP 等
DOI:
10.1109/focs57990.2023.00142
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发表时间:
2023
期刊:
影响因子:
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通讯作者:
Adam Karczmarz
中科院分区:
文献类型:
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作者:
Jan van den Brand;Adam Karczmarz
We present the first non-trivial fully dynamic algorithm maintaining exact single-source distances in unweighted graphs. This resolves an open problem stated by Sankowski [COCOON 2005] and van den Brand and Nanongkai [FOCS 2019]. Previous fully dynamic single-source distances data structures were all approximate, but so far, non-trivial dynamic algorithms for the exact setting could only be ruled out for polynomially weighted graphs (Abboud and Vassilevska Williams, [FOCS 2014]). The exact unweighted case remained the main case for which neither a subquadratic dynamic algorithm nor a quadratic lower bound was known.Our dynamic algorithm works on directed graphs and is deterministic, and can report a single-source shortest paths tree in subquadratic time as well. Thus we also obtain the first deterministic fully dynamic data structure for reachability (transitive closure) with subquadratic update and query time. This answers an open problem of van den Brand, Nanongkai, and Saranurak [FOCS 2019]. Finally, using the same framework we obtain the first fully dynamic data structure maintaining all-pairs $(1+\epsilon)$-approximate distances within non-trivial sub-$n^{\omega}$ worst-case update time while supporting optimal-time approximate shortest path reporting at the same time. This data structure is also deterministic and therefore implies the first known non-trivial deterministic worst-case bound for recomputing the transitive closure of a digraph.
DOI:
10.1145/3406325.3451025
发表时间:
2021
期刊:
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing
影响因子:
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作者:
Chuzhoy, Julia
通讯作者:
Chuzhoy, Julia
DOI:
10.1137/1.9781611976465.110
发表时间:
2021
期刊:
2021
影响因子:
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作者:
Bergamaschi, Thiago;Henzinger, Monika;Probst Gutenberg, Maximilian;Williams, Virginia Vassilevska;Wein, Nicole
通讯作者:
Wein, Nicole
DOI:
10.1145/3519935.3520066
发表时间:
2022
期刊:
STOC 2022: Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing
影响因子:
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作者:
Abboud, Amir;Bringmann, Karl;Khoury, Seri;Zamir, Or
通讯作者:
Zamir, Or