Max-Flow on Regular Spaces
Ulrich Faigle, Walter Kern, Britta Peis

TL;DR
This paper extends the max-flow problem to regular spaces, revealing a submodular structure and generalizing classical algorithms with quadratic bounds on augmentations.
Contribution
It introduces a generalized max-flow framework on regular spaces and adapts the Edmonds-Karp algorithm with improved augmentation bounds.
Findings
Submodular structure of path families in regular spaces
Generalization of Edmonds-Karp algorithm
Quadratic bound on the number of augmentations
Abstract
The max-flow and max-coflow problem on directed graphs is studied in the common generalization to regular spaces, i.e., to kernels or row spaces of totally unimodular matrices. Exhibiting a submodular structure of the family of paths within this model we generalize the Edmonds-Karp variant of the classical Ford-Fulkerson method and show that the number of augmentations is quadratically bounded if augmentations are chosen along shortest possible augmenting paths.
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Taxonomy
TopicsRandom Matrices and Applications · Matrix Theory and Algorithms · advanced mathematical theories
