Improved Balanced Flow Computation Using Parametric Flow

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Authors Omar Darwish, Kurt Mehlhorn arXiv ID 1512.05974 Category cs.DS: Data Structures & Algorithms Cross-listed cs.GT Citations 5 Venue Information Processing Letters Last Checked 4 months ago
Abstract
We present a new algorithm for computing balanced flows in equality networks arising in market equilibrium computations. The current best time bound for computing balanced flows in such networks requires $O(n)$ maxflow computations, where $n$ is the number of nodes in the network [Devanur et al. 2008]. Our algorithm requires only a single parametric flow computation. The best algorithm for computing parametric flows [Gallo et al. 1989] is only by a logarithmic factor slower than the best algorithms for computing maxflows. Hence, the running time of the algorithms in [Devanur et al. 2008] and [Duan and Mehlhorn 2015] for computing market equilibria in linear Fisher and Arrow-Debreu markets improve by almost a factor of $n$.
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