stochastic matching
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2021 ◽  
Vol 53 (4) ◽  
pp. 951-980
Author(s):  
Youssef Rahme ◽  
Pascal Moyal

AbstractMotivated by applications to a wide range of areas, including assemble-to-order systems, operations scheduling, healthcare systems, and the collaborative economy, we study a stochastic matching model on hypergraphs, extending the model of Mairesse and Moyal (J. Appl. Prob.53, 2016) to the case of hypergraphical (rather than graphical) matching structures. We address a discrete-event system under a random input of single items, simply using the system as an interface to be matched in groups of two or more. We primarily study the stability of this model, for various hypergraph geometries.


2021 ◽  
Vol 58 (2) ◽  
pp. 449-468
Author(s):  
Pascal Moyal ◽  
Ana Bušić ◽  
Jean Mairesse

AbstractWe consider a stochastic matching model with a general compatibility graph, as introduced by Mairesse and Moyal (2016). We show that the natural necessary condition of stability of the system is also sufficient for the natural ‘first-come, first-matched’ matching policy. To do so, we derive the stationary distribution under a remarkable product form, by using an original dynamic reversibility property related to that of Adan, Bušić, Mairesse, and Weiss (2018) for the bipartite matching model.


Author(s):  
Jocelyn Begeot ◽  
Irène Marcovici ◽  
Pascal Moyal ◽  
Youssef Rahme

Algorithmica ◽  
2020 ◽  
Vol 82 (10) ◽  
pp. 2737-2783
Author(s):  
Brian Brubach ◽  
Karthik Abinav Sankararaman ◽  
Aravind Srinivasan ◽  
Pan Xu

2020 ◽  
Vol 68 (1) ◽  
pp. 16-34 ◽  
Author(s):  
Avrim Blum ◽  
John P. Dickerson ◽  
Nika Haghtalab ◽  
Ariel D. Procaccia ◽  
Tuomas Sandholm ◽  
...  
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