Efficient and Stable Fully Dynamic Facility Location
Sayan Bhattacharya, Silvio Lattanzi, Nikos Parotsidis
2022年份
13被引次数
12顶会引用
摘要
We consider the classic facility location problem in fully dynamic data streams, where elements can be both inserted and deleted. In this problem, one is interested in maintaining a stable and high quality solution throughout the data stream while using only little time per update (insertion or deletion). We study the problem and provide the first algorithm that at the same time maintains a constant approximation and incurs polylogarithmic amortized recourse per update. We complement our theoretical results with an experimental analysis showing the practical efficiency of our method.
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引用它的顶会 Paper12
- Fully Dynamic k-Clustering in Õ(k) Update TimeSayan Bhattacharya, Martín Costa, Silvio Lattanzi, Nikos ParotsidisNeurIPS 2023 · 被引用 10 次
- Fully Dynamic k-Median with Near-Optimal Update Time and RecourseSayan Bhattacharya, Martín Costa, Ermiya FarokhnejadSTOC 2025 · 被引用 9 次
- Chasing Positive BodiesSayan Bhattacharya, Niv Buchbinder, Roie Levin, Thatchaphol SaranurakFOCS 2023 · 被引用 6 次
- Dynamic algorithms for k-center on graphsEmilio Cruciani, Sebastian Forster, Gramoz Goranci, Yasamin Nazari 等SODA 2024 · 被引用 4 次
- Dynamic Facility Location in High Dimensional Euclidean SpacesSayan Bhattacharya, Gramoz Goranci, Shaofeng H.-C. Jiang, Yi Qian 等ICML 2024 · 被引用 3 次
它引用的顶会 Paper2
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