Algorithmics Of Matching Under Preferences
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Algorithmics of Matching Under Preferences
Matching problems with preferences are all around us OCo 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."
Two-Sided Matching
Author: Alvin E. Roth
language: en
Publisher: Cambridge University Press
Release Date: 1990
Two-sided matching provides a model of search processes such as those between firms and workers in labor markets or between buyers and sellers in auctions. This book gives a comprehensive account of recent results concerning the game-theoretic analysis of two-sided matching. The focus of the book is on the stability of outcomes, on the incentives that different rules of organization give to agents, and on the constraints that these incentives impose on the ways such markets can be organized. The results for this wide range of related models and matching situations help clarify which conclusions depend on particular modeling assumptions and market conditions, and which are robust over a wide range of conditions.
Frontiers of Algorithmics
This book LNCS15828 constitutes the refereed proceedings of the 19th International Joint Conference on Theoretical Computer Science-Frontier of Algorithmic Wisdom (IJTCS-FAW 2025), consisting of the 19th International Conference on Frontier of Algorithmic Wisdom (FAW) and the 6th International Joint Conference on Theoretical Computer Science (IJTCS), held in Paris, France, during June 30–July 2, 2025. The 28 full papers and 2 short papers were carefully reviewed and selected from 63 submissions. The proceedings focuses on Frontiers of Algorithmic Wisdom; Block-chain, Distributed Computing, Multi-Agents; Game Theory, Algorithmic Game Theory, Machine Learning, Electronic Commerce.