Matching Dynamics in a Multi-Agents Setting
Matching Dynamics in a Multi-Agents Setting
By Christelle Garrouste, Cyrille Piatecki, and Yvan Stroppa
Hal CNRS (2014)
Abstract Paper

Aloysius Tanfack Ngougne

LEO, Université d'Orléans

Italy

Coder Page  

Christelle Garrouste

LEO, Université d'Orléans

France

Coder Page  

Cyrille Piatecki

LEO, Université d'Orléans

France

Coder Page  

Yvan Stroppa

CNRS

France

Coder Page  

Created
June 05, 2014
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Abstract
Matching theory is a mathematical account of behavior that is at the basis of many economics and computer science assignments. Stable matching problems are the most prominent models because they capture the aspect of rationality and distributed control that is inherent in most optimization problems (Hoefer [2011]). Examples of two-sided (or pairwise) matching models include the assignment of workers to jobs (Hoefer [2011], Arcaute and Vassilvitskii [2009] and Kelso and Crawford [1982]), organs to patients (Roth et al. [2005]), general buyers to sellers (Lauermann, 2013) and stable marriage and stable roommate problems (Akkaya et al. [2010], Goemans et al. [2006] and Mathieu [2008]).
Garrouste, C., C. Piatecki, and Y. Stroppa, "Matching Dynamics in a Multi-Agents Setting", Hal CNRS.
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Please cite the publication as :

Garrouste, C., C. Piatecki, and Y. Stroppa, "Matching Dynamics in a Multi-Agents Setting", Hal CNRS.

Please cite the companion website as :

Garrouste, C., C. Piatecki, and Y. Stroppa, "Matching Dynamics in a Multi-Agents Setting", RunMyCode companion website, http://www.execandshare.org/CompanionSite/Site384

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              Matching Dynamics in a Multi-Agents Setting
              A. T. Ngougne, C. Garrouste, C. Piatecki, and Y. Stroppa (2014)
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              Aloysius Tanfack Ngougne also created these companion sites

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              Yvan Stroppa also created these companion sites

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