
TL;DR
This paper introduces a new polynomial-time algorithm for finding stable flows in networks with multiple sources and sinks, using preflows, and extends the concept to stable quasi-flows with bounded excesses.
Contribution
It presents an alternative $O(nm)$ algorithm for stable flows based on preflows and generalizes to stable quasi-flows with bounded excesses.
Findings
The algorithm runs in $O(nm)$ time.
It generalizes to stable quasi-flows with bounded excesses.
Provides an efficient method for stable flow computation.
Abstract
In 2010s Fleiner introduced a notion of stable flows in directed networks and showed that such a flow always exists and can be found by use of a reduction to the stable allocation problem due to Baiou and Balinski. Recently Cseh and Matuschke devised a direct strongly polynomial algorithm. In this paper we give an alternative algorithm to find a stable flow in a network with several sources and sinks. It is based on an idea of preflows (appeared in 1970s in a faster algorithm for the classical max-flow problem), and runs in time for a network with vertices and edges. The results are further generalized to a larger class of objects, so-called stable quasi-flows with bounded excesses in non-terminal vertices. (The paper is written in Russian.)
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Taxonomy
TopicsAdvanced Graph Theory Research · Game Theory and Voting Systems · Complexity and Algorithms in Graphs
