activity
20182021
collaborators

12 papers

cs.DS2021

Algorithms for the Minimum Dominating Set Problem in Bounded Arboricity Graphs: Simpler, Faster, and Combinatorial

Adir Morgan, Shay Solomon, Nicole Wein

We revisit the minimum dominating set problem on graphs with arboricity bounded by . Bansal and Umboh [BU17] gave an -approximation LP rounding algorithm, which also trans…

cs.DS2020

Tight Conditional Lower Bounds for Approximating Diameter in Directed Graphs

Mina Dalirrooyfard, Nicole Wein

Among the most fundamental graph parameters is the Diameter, the largest distance between any pair of vertices. Computing the Diameter of a graph with edges requires $m^{2-o(1)…

cs.DS2020

New Techniques and Fine-Grained Hardness for Dynamic Near-Additive Spanners

Thiago Bergamaschi, Monika Henzinger, Maximilian Probst Gutenberg +2

Maintaining and updating shortest paths information in a graph is a fundamental problem with many applications. As computations on dense graphs can be prohibitively expensive, and…

cs.DS2020

Lower Bounds for Dynamic Distributed Task Allocation

Hsin-Hao Su, Nicole Wein

We study the problem of distributed task allocation in multi-agent systems. Suppose there is a collection of agents, a collection of tasks, and a demand vector, which specifies the…

cs.DS2020

New Algorithms and Hardness for Incremental Single-Source Shortest Paths in Directed Graphs

Maximilian Probst Gutenberg, Virginia Vassilevska Williams, Nicole Wein

In the dynamic Single-Source Shortest Paths (SSSP) problem, we are given a graph subject to edge insertions and deletions and a source vertex , and the goal is to…

cs.DS2019

Tight Approximation Algorithms for Bichromatic Graph Diameter and Related Problems

Mina Dalirrooyfard, Virginia Vassilevska Williams, Nikhil Vyas +1

Some of the most fundamental and well-studied graph parameters are the Diameter (the largest shortest paths distance) and Radius (the smallest distance for which a "center" node ca…