Many-to-One Popular Matchings with Two-Sided Preferences and One-Sided Ties

被引:1
|
作者
Gopal, Kavitha [1 ]
Nasre, Meghana [1 ]
Nimbhorkar, Prajakta [2 ,3 ]
Reddy, T. Pradeep [1 ]
机构
[1] Indian Inst Technol, Chennai, Tamil Nadu, India
[2] Chennai Math Inst, Chennai, Tamil Nadu, India
[3] UMI ReLaX, Chennai, Tamil Nadu, India
来源
关键词
D O I
10.1007/978-3-030-26176-4_16
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We consider the problem of assigning applicants to posts when each applicant has a strict preference ordering over a subset of posts, and each post has all its neighbors in a single tie. That is, a post is indifferent amongst all its neighbours. Each post has a capacity denoting the maximum number of applicants that can be assigned to it. An assignment M, referred to as a matching, is said to be popular, if there is no other assignment M' such that the number of votes M' gets compared to M is more than the number of votes M gets compared to M'. Here votes are cast by applicants and posts for comparing M and M'. An applicant a votes for M over M' if a gets a more preferred partner in M than in M'. A post p votes for M over M' if p gets more applicants assigned to it in M than in M'. The number of votes a post p casts gives rise to two models. Let M(p) denote the set of applicants p gets in M. If vertical bar M'(p)vertical bar > vertical bar M' (p)vertical bar, p can cast vertical bar M(p)vertical bar - vertical bar M' (p)vertical bar-many votes in favor of M, or just one vote. The two models are referred to as the multi-vote model and one-vote model in this paper. We give a polynomial-time algorithm to determine the existence of a popular matching in the multi-vote model, and to output one if it exists. We give interesting connections between the two models. In particular, we show that a matching that is popular in the one-vote model is also popular in the multi-vote model, however the converse is not true. We also give a polynomial-time algorithm to check if a given matching is popular in the one-vote model, and if not, then output a more popular matching.
引用
收藏
页码:193 / 205
页数:13
相关论文
共 50 条
  • [31] Computational asset allocation using one-sided and two-sided variability measures
    Farinelli, Simone
    Rossello, Damiano
    Tibiletti, Luisa
    [J]. COMPUTATIONAL SCIENCE - ICCS 2006, PT 4, PROCEEDINGS, 2006, 3994 : 324 - 331
  • [32] One-sided dichotomies versus two-sided dichotomies: arbitrary growth rates
    Barreira, Luis
    Dragicevic, Davor
    Valls, Claudia
    [J]. QUAESTIONES MATHEMATICAE, 2017, 40 (03) : 381 - 390
  • [33] Optimal pricing of a two-sided monopoly platform with a one-sided congestion effect
    Aloui C.
    Jebsi K.
    [J]. International Review of Economics, 2010, 57 (4) : 423 - 439
  • [34] Research on the development mechanism: from two-sided multipactor to one-sided multipactor
    Xue, Zhang
    Yong, Wang
    Qiang, Xu
    [J]. ACTA PHYSICA SINICA, 2015, 64 (20)
  • [35] Effects of grammage on sheet properties in one-sided and two-sided roll forming
    Nordström, B
    [J]. NORDIC PULP & PAPER RESEARCH JOURNAL, 2003, 18 (03) : 280 - 287
  • [36] A 'One-sided call to a many-sided man'
    Gibbs, R
    [J]. ANTIGONISH REVIEW, 2002, (129): : 72 - 76
  • [37] NC Algorithms for Popular Matchings in One-Sided Preference Systems and Related Problems
    Hu, Changyong
    Garg, Vijay K.
    [J]. 2020 IEEE 34TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM IPDPS 2020, 2020, : 759 - 768
  • [38] One-Sided Matching with Dynamic Preferences
    Hosseini, Hadi
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS (AAMAS'15), 2015, : 2005 - 2006
  • [39] An Evaluation of One-Sided and Two-Sided Communication Paradigms on Relaxed-Ordering Interconnect
    Ibrahim, Khaled Z.
    Hargrov, Paul
    Iancu, Costin
    Yelick, Katherine
    [J]. 2014 IEEE 28TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, 2014,
  • [40] Combining the advantages of one-sided and two-sided procedures for comparing several treatments with a control
    Hayter, AJ
    Miwa, T
    Liu, W
    [J]. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2000, 86 (01) : 81 - 99