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Algorithmics of matching under preferences /

Matching problems with preferences are all around us - they arise when agents seek to be allocated to one another on the basis of ranked preferences over potential outcomes. Efficient algorithms are needed for producing matchings that optimise the satisfaction of the agents according to their prefer...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Manlove, David F. (Autor)
Otros Autores: Mehlhorn, Kurt, 1949- (writer of foreword.)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hackensack, New Jersey : World Scientific, [2013]
Colección:Series on theoretical computer science ; v. 2.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Algorithmics of matching under preferences /  |c by David Manlove, University of Glasgow, UK ; with a foreword by Kurt Mehlhorn. 
264 1 |a Hackensack, New Jersey :  |b World Scientific,  |c [2013] 
264 4 |c ©2013 
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490 1 |a Series on theoretical computer science ;  |v vol. 2 
520 |a Matching problems with preferences are all around us - they arise when agents seek to be allocated to one another on the basis of ranked preferences over potential outcomes. Efficient algorithms are needed for producing matchings that optimise the satisfaction of the agents according to their preference lists. In recent years there has been a sharp increase in the study of algorithmic aspects of matching problems with preferences, partly reflecting the growing number of applications of these problems worldwide. This book describes the most important results in this area, providing a timely update to The Stable Marriage Problem: Structure and Algorithms (D Gusfield and R W Irving, MIT Press, 1989) in connection with stable matching problems, whilst also broadening the scope to include matching problems with preferences under a range of alternative optimality criteria. 
504 |a Includes bibliographical references (pages 417-460) and index. 
505 0 |a 1. Preliminary definitions, results and motivation. 1.1. Introduction. 1.2. Matchings in graphs. 1.3. The Hospitals / Residents problem (HR). 1.4. The Stable Roommates problem (SR). 1.5. The House Allocation problem (HA) and its variants -- 2. The Stable Marriage problem: an update. 2.1. Introduction. 2.2. The 12 open problems of Gusfield and Irving. 2.3. The Subramanian and Feder papers. 2.4. Linear programming approaches. 2.5. Constraint programming approaches. 2.6. Paths to stability. 2.7. Median stable matchings. 2.8. Size versus stability. 2.9. Strategic issues. 2.10. Further results. 2.11. Conclusions and open problems -- 3. SM and HR with indifference. 3.1. Introduction. 3.2. Weak stability. 3.3. Strong stability. 3.4. Super-stability. 3.5. Other results. 3.6. Conclusions and open problems -- 4. The Stable Roommates problem. 4.1. Introduction. 4.2. Updates to open problems 8-12 from Gusfield & Irving. 4.3. Stable partitions. 4.4. Mirror posets and median graphs. 4.5. Indifference. 4.6. "Almost stable" matchings. 4.7. Globally-ranked pairs. 4.8. Other extensions of SR. 4.9. Conclusions and open problems -- 5. Further stable matching problems. 5.1. Introduction. 5.2. HR with lower and common quotas. 5.3. HR with couples. 5.4. Many-many stable matching. 5.5. The Student-Project Allocation Problem. 5.6. 3D stable matching problems. 5.7. Exchange-stable matching problems. 5.8. Two additional stable matching problems. 5.9. Conclusions and open problems -- 6. Pareto optimal matchings. 6.1. Introduction. 6.2. House Allocation problem. 6.3. Capacitated House Allocation problem. 6.4. Hospitals / Residents problem. 6.5. Stable Roommates problem. 6.6. Conclusions and open problems -- 7. Popular matchings. 7.1. Introduction. 7.2. House Allocation problem. 7.3. Capacitated House Allocation problem. 7.4. Weighted House Allocation problem. 7.5. Stable Roommates problem. 7.6. Stable Marriage problem. 7.7. Conclusions and open problems -- 8. Profile-based optimal matchings. 8.1. Introduction. 8.2. Rank-maximal matchings. 8.3. Greedy and generous maximum matchings. 8.4. Weight-maximal matchings. 8.5. Other profile-based optimal matching problems. 8.6. Conclusions and open problems. 
588 0 |a Print version record. 
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