Almost Optimal Semi-streaming Maximization for k-Extendible Systems
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In this paper we consider the problem of finding a maximum weight set subject to a k-extendible constraint in the data stream model. The only non-trivial algorithm known for this problem to date---to the best of our knowledge---is a semi-streaming k^2(1 + ε)-approximation algorithm (Crouch and Stubbs, 2014), but semi-streaming O(k)-approximation algorithms are known for many restricted cases of this general problem. In this paper, we close most of this gap by presenting a semi-streaming O(k k)-approximation algorithm for the general problem, which is almost the best possible even in the offline setting (Feldman et al., 2017).
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