A Unified Approach to Minimizing Symmetric Submodular Functions
Satoru Iwata, Haruto Konno

TL;DR
This paper introduces a unified ordering framework for symmetric submodular function minimization, generalizing previous algorithms and enabling efficient contraction-based minimization.
Contribution
It presents a new family of orderings called $oldsymbol{ extit{ extalpha}}$-orderings that unify existing methods and improve minimization algorithms.
Findings
The $oldsymbol{ extit{ extalpha}}$-ordering framework generalizes known orderings.
A contraction algorithm is developed with $O(n^3)$ oracle calls.
The framework recovers known results at specific $oldsymbol{ extit{ extalpha}}$ values.
Abstract
Symmetric submodular function minimization admits purely combinatorial algorithms using special orderings of the ground set. Extending the minimum-cut algorithm of Nagamochi and Ibaraki (1992), Queyranne (1998) showed that the maximum adjacency ordering yields a pendent pair, which can be used to find a nontrivial minimizer. Nagamochi (2010) later introduced the minimum degree ordering, which yields a flat pair and leads to the identification of extreme sets. Despite the apparent similarity between these two algorithms, their connection remained unclear. In this paper, we introduce yet another ordering called minimum capacity ordering, and extend it to a one-parameter family of orderings, called -orderings, that unifies these two previously known orderings. We prove a general inequality for -orderings, and our framework recovers the known pendent-pair and flat-pair…
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