Fast and Simple $(1+ε)Δ$-Edge-Coloring of Dense Graphs
August 29, 2024 · Declared Dead · + Add venue
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Abhishek Dhawan
arXiv ID
2408.16692
Category
cs.DS: Data Structures & Algorithms
Cross-listed
math.CO
Citations
0
Last Checked
5 months ago
Abstract
Let $ε\in (0, 1)$ and $n, Δ\in \mathbb N$ be such that $Δ= Ω\left(\max\left\{\frac{\log n}ε,\, \left(\frac{1}ε\log \frac{1}ε\right)^2\right\}\right)$. Given an $n$-vertex $m$-edge simple graph $G$ of maximum degree $Δ$, we present a randomized $O\left(m\,\log^3 Δ\,/\,ε^2\right)$-time algorithm that computes a proper $(1+ε)Δ$-edge-coloring of $G$ with high probability. This improves upon the best known results for a wide range of the parameters $ε$, $n$, and $Δ$. Our approach combines a flagging strategy from earlier work of the author with a shifting procedure employed by Duan, He, and Zhang for dynamic edge-coloring. The resulting algorithm is simple to implement and may be of practical interest.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
📜 Similar Papers
In the same crypt — Data Structures & Algorithms
📚
📚
The Cartographer
R.I.P.
👻
Ghosted
Route Planning in Transportation Networks
R.I.P.
👻
Ghosted
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
R.I.P.
👻
Ghosted
Hierarchical Clustering: Objective Functions and Algorithms
R.I.P.
👻
Ghosted
Graph Isomorphism in Quasipolynomial Time
📚
📚
The Cartographer
Simulation optimization: A review of algorithms and applications
Died the same way — 👻 Ghosted
R.I.P.
👻
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
👻
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
👻
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
👻
Ghosted