Algorithms 2013, 6(3), 471-484; doi:10.3390/a6030471
Article

Linear Time Local Approximation Algorithm for Maximum Stable Marriage

Received: 1 August 2013; in revised form: 6 August 2013 / Accepted: 7 August 2013 / Published: 15 August 2013
(This article belongs to the Special Issue Special Issue on Matching under Preferences)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: We consider a two-sided market under incomplete preference lists with ties, where the goal is to find a maximum size stable matching. The problem is APX-hard, and a 3/2-approximation was given by McDermid [1]. This algorithm has a non-linear running time, and, more importantly needs global knowledge of all preference lists. We present a very natural, economically reasonable, local, linear time algorithm with the same ratio, using some ideas of Paluch [2]. In this algorithm every person make decisions using only their own list, and some information asked from members of these lists (as in the case of the famous algorithm of Gale and Shapley). Some consequences to the Hospitals/Residents problem are also discussed.
Keywords: stable marriage; Gale-Shapley algorithm; approximation; Hospitals/Residents problem
PDF Full-text Download PDF Full-Text [103 KB, Updated Version, uploaded 19 August 2013 12:09 CEST]
The original version is still available [103 KB, uploaded 15 August 2013 11:09 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Király, Z. Linear Time Local Approximation Algorithm for Maximum Stable Marriage. Algorithms 2013, 6, 471-484.

AMA Style

Király Z. Linear Time Local Approximation Algorithm for Maximum Stable Marriage. Algorithms. 2013; 6(3):471-484.

Chicago/Turabian Style

Király, Zoltán. 2013. "Linear Time Local Approximation Algorithm for Maximum Stable Marriage." Algorithms 6, no. 3: 471-484.

Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert