activity
20102026
most citedNew Hardness Results in Rainbow Connectivity

19 citations · 34 across the 15 of their papers we have counts for

collaborators

23 papers

cs.DS2026

Matchings under One-Sided Preferences with Soft Quotas

Santhini K A, Raghu Raman Ravi, Meghana Nasre

Assigning applicants to posts in the presence of applicant preferences and quotas associated with posts is extensively investigated. For a post, a lower quota guarantees, and an up…

cs.DS2025

Stability Notions for Hospital Residents with Sizes

Haricharan Balasundaram, J B Krishnashree, Girija Limaye +1

The Hospital Residents problem with sizes (HRS) is a generalisation of the well-studied hospital residents (HR) problem. In the HRS problem, an agent a has a size s(a) and the agen…

cs.DS2025

Generalized Capacity Planning for the Hospital-Residents Problem

Haricharan Balasundaram, Girija Limaye, Meghana Nasre +1

The Hospital Residents setting models important problems like school choice, assignment of undergraduate students to degree programs, among many others. In this setting, fixed quot…

cs.DS2024

Optimal Capacity Modification for Stable Matchings with Ties

Keshav Ranjan, Meghana Nasre, Prajakta Nimbhorkar

We consider the Hospitals/Residents (HR) problem in the presence of ties in hospital preferences. Among the three notions of stability, namely weak stability, strong stability, and…

cs.DS2024

Group Fairness and Multi-criteria Optimization in School Assignment

Santhini K. A., Kamesh Munagala, Meghana Nasre +1

We consider the problem of assigning students to schools, when students have different utilities for schools and schools have capacity. There are additional group fairness consider…

cs.DS2023

Critical Relaxed-Stable Matchings with Ties in the Many-to-Many Setting

Meghana Nasre, Prajakta Nimbhorkar, Keshav Ranjan

We study the many-to-many bipartite matching problem in the presence of preferences where ties, as well as lower quotas, may appear on both sides of the bipartition. The input is a…

cs.DS2022★ 3 cited

Online Algorithms for Matchings with Proportional Fairness Constraints and Diversity Constraints

Anand Louis, Meghana Nasre, Prajakta Nimbhorkar +1

Matching problems with group-fairness constraints and diversity constraints have numerous applications such as in allocation problems, committee selection, school choice, etc. More…

cs.DS2022

Popular Critical Matchings in the Many-to-Many Setting

Meghana Nasre, Prajakta Nimbhorkar, Keshav Ranjan +1

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,…

cs.DS2021

Matchings with Group Fairness Constraints: Online and Offline Algorithms

Govind S. Sankar, Anand Louis, Meghana Nasre +1

We consider the problem of assigning items to platforms in the presence of group fairness constraints. In the input, each item belongs to certain categories, called classes in this…

cs.DS2021

Envy-free matchings with cost-controlled quotas

Girija Limaye, Meghana Nasre

We consider the problem of assigning agents to programs in the presence of two-sided preferences, commonly known as the Hospital Residents problem. In the standard setting each pro…

cs.DS2019★ 2 cited

Envy-freeness and Relaxed Stability under lower quotas

Prem Krishnaa, Girija Limaye, Meghana Nasre +1

We consider the problem of matchings under two-sided preferences in the presence of maximum as well as minimum quota requirements for the agents. This setting, studied as the Hospi…

cs.DS2019

Trade-offs in dynamic coloring for bipartite and general graphs

Manas Jyoti Kashyop, N. S. Narayanaswamy, Meghana Nasre +1

We present trade-offs in the incremental and fully dynamic settings to maintian a proper coloring. For any fully dynamic -coloring algorithm, the maximum of the update time, num…

cs.DS2018★ 1 cited

Dichotomy Results for Classified Rank-Maximal Matchings and Popular Matchings

Meghana Nasre, Prajakta Nimbhorkar, Nada Pulath

In this paper, we consider the problem of computing an optimal matching in a bipartite graph where elements of one side of the bipartition specify preferences over the other side,…

cs.GT2018

How good are Popular Matchings?

Krishnapriya A M, Meghana Nasre, Prajakta Nimbhorkar +1

In this paper, we consider the Hospital Residents problem (HR) and the Hospital Residents problem with Lower Quotas (HRLQ). In this model with two sided preferences, stability is a…

cs.DS2017

Popular Matching with Lower Quotas

Meghana Nasre, Prajakta Nimbhorkar

We consider the well-studied Hospital Residents (HR) problem in the presence of lower quotas (LQ). The input instance consists of a bipartite graph $G = (\mathcal{R} \cup \mathcal{…

cs.DS2016★ 2 cited

Popularity in the generalized Hospital Residents Setting

Meghana Nasre, Amit Rawat

We consider the problem of computing popular matchings in a bipartite graph G = (R U H, E) where R and H denote a set of residents and a set of hospitals respectively. Each hospita…

cs.DS2014★ 1 cited

Decremental All-Pairs ALL Shortest Paths and Betweenness Centrality

Meghana Nasre, Matteo Pontecorvi, Vijaya Ramachandran

We consider the all pairs all shortest paths (APASP) problem, which maintains the shortest path dag rooted at every vertex in a directed graph G=(V,E) with positive edge weights. F…

cs.DS2014★ 2 cited

Rank Maximal Matchings -- Structure and Algorithms

Pratik Ghoshal, Meghana Nasre, Prajakta Nimbhorkar

Let G = (A U P, E) be a bipartite graph where A denotes a set of agents, P denotes a set of posts and ranks on the edges denote preferences of the agents over posts. A matching M i…

cs.DS2013★ 3 cited

Betweenness Centrality -- Incremental and Faster

Meghana Nasre, Matteo Pontecorvi, Vijaya Ramachandran

We consider the incremental computation of the betweenness centrality of all vertices in a large complex network modeled as a graph G = (V, E), directed or undirected, with positiv…

cs.DS2013

Popular Matchings -- structure and cheating strategies

Meghana Nasre

We consider the cheating strategies for the popular matchings problem. The popular matchings problem can be defined as follows: Let G = (A U P, E) be a bipartite graph where A deno…

cs.DM2011★ 1 cited

Hardness and Parameterized Algorithms on Rainbow Connectivity problem

Prabhanjan Ananth, Meghana Nasre, Kanthi K Sarpatwar

A path in an edge colored graph is said to be a rainbow path if no two edges on the path have the same color. An edge colored graph is (strongly) rainbow connected if there exists…

cs.CC2011★ 19 cited

New Hardness Results in Rainbow Connectivity

Prabhanjan Ananth, Meghana Nasre

A path in an edge colored graph is said to be a rainbow path if no two edges on the path have the same color. An edge colored graph is (strongly) rainbow connected if there exists…

cs.DS2010

Popularity at Minimum Cost

Telikepalli Kavitha, Meghana Nasre, Prajakta Nimbhorkar

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 peop…