Efficient and Stable Fully Dynamic Facility Location

October 25, 2022 Β· Declared Dead Β· πŸ› Neural Information Processing Systems

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Authors Sayan Bhattacharya, Silvio Lattanzi, Nikos Parotsidis arXiv ID 2210.13880 Category cs.DS: Data Structures & Algorithms Citations 11 Venue Neural Information Processing Systems Last Checked 4 months ago
Abstract
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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