May 14, 2018 · We study the problem of estimating the size of a matching when the graph is revealed in a streaming fashion. Our results are multifold:
We study the problem of estimating the size of a matching when the graph is revealed in a streaming fashion. Our results are multifold:.
We study the problem of estimating the size of a matching when the graph is revealed in a streaming fashion. Our results are multifold:.
We study the problem of estimating the size of a matching when the graph is revealed in a streaming fashion. Our results are multifold:1.
We study the problem of estimating the size of a matching when the graph is revealed in a streaming fashion. Our results are multifold:1.
Jan 18, 2019 · Bibliographic details on Structural Results on Matching Estimation with Applications to Streaming.
instance of · scholarly article ; title. Structural results on matching estimation with applications to streaming (English) ; published in · Algorithmica.
[PDF] Streaming algorithms for graph k-matching with optimal or near ...
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Our results also imply a streaming approximation algorithm for max- imum weighted k-matching whose space complexity matches the best known upper bound with a ...
In this paper we present improved bounds for approximating maximum matchings in bipartite graphs in the streaming model.
To obtain our main result, we combine our method with a residual sparsity property of the random order Greedy algorithm and give a one-pass random order ...
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