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Graph Partitioning with Demands: Generalized Conductance and its Applications

Szyfelbein, Michał et al.
arXiv (All) · Papers
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data-structures-and-algorithmsmachine-learning
We study various graph partitioning tasks subject to general demands. In Graph Partitioning with Demands (GPD), the goal is to delete minimum cost supply edge set so that each remaining component contains at most a prescribed fraction of the total demand. In the hierarchical analogue of this problem
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