Strongly stable matchings in time O(nm) and extension to the hospitals-residents problem

14Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

An instance of the stable marriage problem is an undirected bipartite graph G = (X U W, E) with linearly ordered adjacency lists; ties are allowed. A matching M is a set of edges no two of which share an endpoint. An edge e = (a,b) ε E \M is a blocking edge for M if a is either unmatched or strictly prefers b to its partner in M, and b is either unmatched or strictly prefers a to its partner in M or is indifferent between them. A matching is strongly stable if there is no blocking edge with respect to it. We give an O(nm) algorithm for computing strongly stable matchings, where n is the number of vertices and m is the number of edges. The previous best algorithm had running time O(m2). We also study this problem in the hospitals-residents setting, which is a many-to-one extension of the above problem. We give an O(m(|.R| + σhεPh)) algorithm for computing a strongly stable matching in the hospitals-residents problem, where \R\ is the number of residents and PH. is the quota of a hospital h. The previous best algorithm had running time O(m2). © Springer-Verlag 2004.

Cite

CITATION STYLE

APA

Kavitha, T., Mehlhorn, K., Michail, D., & Paluch, K. (2004). Strongly stable matchings in time O(nm) and extension to the hospitals-residents problem. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2996, 222–233. https://doi.org/10.1007/978-3-540-24749-4_20

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free