activity
20092026
most citedUnifying and Strengthening Hardness for Dynamic Problems via the Online Matrix-Vector Multiplication Conjecture

215 citations · 689 across the 60 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

cs.DS2017

Dynamic Algorithms for Graph Coloring

Sayan Bhattacharya, Deeparnab Chakrabarty, Monika Henzinger +1

We design fast dynamic algorithms for proper vertex and edge colorings in a graph undergoing edge insertions and deletions. In the static setting, there are simple linear time algo…

cs.DC2017★ 27 cited

A Faster Distributed Single-Source Shortest Paths Algorithm

Sebastian Forster, Danupon Nanongkai

We devise new algorithms for the single-source shortest paths (SSSP) problem with non-negative edge weights in the CONGEST model of distributed computing. While close-to-optimal so…

cs.DS2017★ 2 cited

Dynamic Minimum Spanning Forest with Subpolynomial Worst-case Update Time

Danupon Nanongkai, Thatchaphol Saranurak, Christian Wulff-Nilsen

We present a Las Vegas algorithm for dynamically maintaining a minimum spanning forest of an -node graph undergoing edge insertions and deletions. Our algorithm guarantees an $O…

cs.CC2017

From Gap-ETH to FPT-Inapproximability: Clique, Dominating Set, and More

Parinya Chalermsook, Marek Cygan, Guy Kortsarz +4

We consider questions that arise from the intersection between the areas of polynomial-time approximation algorithms, subexponential-time algorithms, and fixed-parameter tractable…

cs.DS2017

New Tools and Connections for Exponential-time Approximation

Nikhil Bansal, Parinya Chalermsook, Bundit Laekhanukit +2

In this paper, we develop new tools and connections for exponential time approximation. In this setting, we are given a problem instance and a parameter , and the goal is to d…

cs.DC2017★ 4 cited

Distributed Exact Weighted All-Pairs Shortest Paths in Rounds

Chien-Chung Huang, Danupon Nanongkai, Thatchaphol Saranurak

We study computing {\em all-pairs shortest paths} (APSP) on distributed networks (the CONGEST model). The goal is for every node in the (weighted) network to know the distance from…