Polynomial-Delay Enumeration of Large Maximal Common Independent Sets in Two Matroids and Beyond
Yasuaki Kobayashi, Kazuhiro Kurita, Kunihiro Wasa
TL;DR
This work addresses the problem of enumerating large maximal common independent sets in two matroids (and, more generally, matroid matching) with a cardinality threshold $\tau$. It develops a polynomial-delay, polynomial-space enumeration framework built on reverse search and an augmenting-path characterization for matroid intersection, complemented by a flashlight-search extension approach to obtain maximum sets. The authors extend these techniques to maximal matroid matchings in tractable pairs, provide a framework for ranked enumeration, and demonstrate wide applicability to combinatorial structures such as $b$-matchings, colorful forests, and degree-constrained subgraphs, including a reduction yielding efficient enumeration of minimal connected vertex covers in subcubic graphs. Overall, the paper unifies optimization and enumeration in matroid theory, delivering practical, scalable algorithms with broad implications for related combinatorial problems.
Abstract
Finding a maximum cardinality common independent set in two matroids (also known as \textsc{Matroid Intersection}) is a classical combinatorial optimization problem, which generalizes several well-known problems, such as finding a maximum bipartite matching, a maximum colorful forest, and an arborescence in directed graphs. Enumerating all maximal common independent sets in two (or more) matroids is a classical enumeration problem. In this paper, we address an ``intersection'' of these problems: Given two matroids and a threshold $τ$, the goal is to enumerate all maximal common independent sets in the matroids with cardinality at least $τ$. We show that this problem can be solved in polynomial delay and polynomial space. Moreover, our technique can be extended to a more general problem, which is relevant to Matroid Matching. We give a polynomial-delay and polynomial-space algorithm for enumerating all maximal ``matchings'' with cardinality at least $τ$, assuming that the optimization counterpart is ``tractable'' in a certain sense. This extension allows us to enumerate small minimal connected vertex covers in subcubic graphs. We also discuss a framework to convert enumeration with cardinality constraints into ranked enumeration.
