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Let $G = (A \cup B,E)$ be a bipartite graph where the set $A$ consists of agents or main players and the set $B$ consists of jobs or secondary players. Every vertex has a strict ranking of its neighbors. A matching $M$ is popular if for any…

数据结构与算法 · 计算机科学 2022-07-13 Telikepalli Kavitha

Let $G$ be a bipartite graph where every node has a strict ranking of its neighbors. For every node, its preferences over neighbors extend naturally to preferences over matchings. Matching $N$ is more popular than matching $M$ if the number…

数据结构与算法 · 计算机科学 2020-11-09 Telikepalli Kavitha

Our input is a complete graph $G = (V,E)$ on $n$ vertices where each vertex has a strict ranking of all other vertices in $G$. Our goal is to construct a matching in $G$ that is popular. A matching $M$ is popular if $M$ does not lose a…

离散数学 · 计算机科学 2021-01-26 Ágnes Cseh , Telikepalli Kavitha

In the Popular Matching problem, we are given a bipartite graph $G = (A \cup B, E)$ and for each vertex $v\in A\cup B$, strict preferences over the neighbors of $v$. Given two matchings $M$ and $M'$, matching $M$ is more popular than $M'$…

数据结构与算法 · 计算机科学 2023-12-14 Klaus Heeger , Ágnes Cseh

We consider an extension of the {\em popular matching} problem in this paper. The input to the popular matching problem is a bipartite graph G = (A U B,E), where A is a set of people, B is a set of items, and each person a belonging to A…

数据结构与算法 · 计算机科学 2010-09-15 Telikepalli Kavitha , Meghana Nasre , Prajakta Nimbhorkar

We consider the many-to-many bipartite matching problem in the presence of two-sided preferences and two-sided lower quotas. The input to our problem is a bipartite graph G=(A U B, E), where each vertex in A U B specifies a strict…

数据结构与算法 · 计算机科学 2023-03-21 Meghana Nasre , Prajakta Nimbhorkar , Keshav Ranjan , Ankita Sarkar

In a graph where vertices have preferences over their neighbors, a matching is called popular if it does not lose a head-to-head election against any other matching when the vertices vote between the matchings. Popular matchings can be seen…

离散数学 · 计算机科学 2022-05-05 Ildikó Schlotter , Ágnes Cseh

We are given a bipartite graph $G = (A \cup B, E)$ where each vertex has a preference list ranking its neighbors: in particular, every $a \in A$ ranks its neighbors in a strict order of preference, whereas the preference lists of $b \in B$…

离散数学 · 计算机科学 2016-03-24 Ágnes Cseh , Chien-Chung Huang , Telikepalli Kavitha

Given a bipartite graph G = (A u B, E) with strict preference lists and and edge e*, we ask if there exists a popular matching in G that contains the edge e*. We call this the popular edge problem. A matching M is popular if there is no…

离散数学 · 计算机科学 2015-08-05 Agnes Cseh , Telikepalli Kavitha

We consider popular matching problems in both bipartite and non-bipartite graphs with strict preference lists. It is known that every stable matching is a min-size popular matching. A subclass of max-size popular matchings called dominant…

离散数学 · 计算机科学 2018-06-13 Yuri Faenza , Telikepalli Kavitha , Vladlena Powers , Xingyu Zhang

Let G = ((A,B),E) be an instance of the stable marriage problem where every vertex ranks its neighbors in a strict order of preference. A matching M in G is popular if M does not lose a head-to-head election against any matching. Popular…

数据结构与算法 · 计算机科学 2020-05-06 Yuri Faenza , Telikepalli Kavitha

An input to the Popular Matching problem, in the roommates setting, consists of a graph $G$ and each vertex ranks its neighbors in strict order, known as its preference. In the Popular Matching problem the objective is to test whether there…

数据结构与算法 · 计算机科学 2018-03-28 Sushmita Gupta , Pranabendu Misra , Saket Saurabh , Meirav Zehavi

We consider the max-size popular matching problem in a roommates instance G = (V,E) with strict preference lists. A matching M is popular if there is no matching M' in G such that the vertices that prefer M' to M outnumber those that prefer…

数据结构与算法 · 计算机科学 2018-02-22 Telikepalli Kavitha

In the popular edge problem, the input is a bipartite graph $G = (A \cup B,E)$ where $A$ and $B$ denote a set of men and a set of women respectively, and each vertex in $A\cup B$ has a strict preference ordering over its neighbours. A…

数据结构与算法 · 计算机科学 2022-09-23 Kushagra Chatterjee , Prajakta Nimbhorkar

We investigate weighted settings of popular matching problems with matroid constraints. The concept of popularity was originally defined for matchings in bipartite graphs, where vertices have preferences over the incident edges. There are…

计算机科学与博弈论 · 计算机科学 2024-07-16 Gergely Csáji , Tamás Király , Kenjiro Takazawa , Yu Yokoi

Our input is a bipartite graph $G = (A \cup B,E)$ where each vertex in $A \cup B$ has a preference list strictly ranking its neighbors. The vertices in $A$ and in $B$ are called students and courses, respectively. Each student $a$ seeks to…

计算机科学与博弈论 · 计算机科学 2017-10-03 F. Brandl , T. Kavitha

Two-sided popular matchings in bipartite graphs are a well-known generalization of stable matchings in the marriage setting, and they are especially relevant when preference lists are incomplete. In this case, the cardinality of a stable…

离散数学 · 计算机科学 2018-03-13 Yuri Faenza , Vladlena Powers , Xingyu Zhang

Popularity is an approach in mechanism design to find fair structures in a graph, based on the votes of the nodes. Popular matchings are the relaxation of stable matchings: given a graph G=(V,E) with strict preferences on the neighbors of…

离散数学 · 计算机科学 2025-02-18 Erika Bérczi-Kovács , Kata Kosztolányi

We consider the popular matching problem in a roommates instance with strict preference lists. While popular matchings always exist in a bipartite instance, they need not exist in a roommates instance. The complexity of the popular matching…

数据结构与算法 · 计算机科学 2018-04-10 Telikepalli Kavitha

Given a graph $G = (V,E)$ where every vertex has a weak ranking over its neighbors, we consider the problem of computing an optimal matching as per agent preferences. Classical notions of optimality such as stability and its relaxation…

计算机科学与博弈论 · 计算机科学 2023-05-30 Telikepalli Kavitha , Rohit Vaish
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