collaborators

7 papers

cs.DS2026

Faster Exponential Algorithms for Multi-Machine Scheduling Problems

Anubhav Dhar, Anita Dürr, Ahmed Ghazy +2

Minimizing the weighted completion times () and weighted number of tardy jobs () on multiple identical machines are two classical NP-har…

cs.CC2026

Parameterized Complexity of Finding a Maximum Common Vertex Subgraph Without Isolated Vertices

Palash Dey, Anubhav Dhar, Ashlesha Hota +2

In this paper, we study the Maximum Common Vertex Subgraph problem: Given two input graphs and a non-negative integer , is there a common subgraph on at least

math.CO2026

On Euler Paths and the Maximum Degree Growth of Iterated Higher Order Line Graphs

Aryan Sanghi, Anubhav Dhar, Sudeshna Kolay

Given a simple graph , its line graph, denoted by , is obtained by representing each edge of as a vertex, with two vertices in adjacent whenever the correspondi…

cs.CC2026

Universal Solvability for Robot Motion Planning on Graphs

Anubhav Dhar, Pranav Nyati, Tanishq Prasad +2

We study the Universal Solvability of Robot Motion Planning on Graphs (USolR) problem: given an undirected graph and robots, determine whether any arbitrary config…

cs.DS2026

Minimizing Envy and Maximizing Happiness in Graphical House Allocation

Anubhav Dhar, Ashlesha Hota, Palash Dey +1

We study the house allocation problem in a setting where agents are connected by a graph representing friendships. In this model, two agents can only envy each other if they are ne…

cs.DC2024

Local problems in trees across a wide range of distributed models

Anubhav Dhar, Eli Kujawa, Henrik Lievonen +4

The randomized online-LOCAL model captures a number of models of computing; it is at least as strong as all of these models: - the classical LOCAL model of distributed graph algori…