Our algorithm is designed to run on a small cluster of commodity nodes (or in a MapReduce environment), has strong approximation guarantees, and requires only a ...
Aug 26, 2013 · In this paper, we propose a scalable distributed approximation algorithm for large-scale generalized bipartite matching. Though several scalable ...
In this paper, we propose a scalable distributed approximation algorithm for large-scale generalized bipartite matching. Though several scalable algorithms for ...
Seq. algorithm [Gandhi et al. 06]:. 1. Find a cycle/maximal path. 2. Modify edge prob. on the cycle/maximal path (details omitted). ➢ If edge prob.
Oct 22, 2024 · Our algorithm is designed to run on a small cluster of commodity nodes (or in a MapReduce environment), has strong approximation guarantees, and ...
We propose the first distributed algorithm for computing near-optimal solutions to large-scale generalized matching problems like the one above. Our algorithm ...
In this paper, we propose a distributed algorithm for approximately solving large-scale generalized matching problems like the one above. Our algorithm is based ...
– Rounding for generalized bipartite matching. – Millions of vertices (users ... A Distributed Algorithm for Large-Scale Generalized Matching. @ PVLDB, 2013.
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In this paper we propose a novel algorithm based on linear matrix inequalities for the design of distributed controllers and state estimators for large-scale ...
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