Anti-Path Cover on Sparse Graph Classes
December 15, 2016 Β· Declared Dead Β· π Doctoral Workshop on Mathematical and Engineering Methods in Computer Science
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Pavel DvoΕΓ‘k, DuΕ‘an Knop, TomΓ‘Ε‘ MasaΕΓk
arXiv ID
1612.04985
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DM
Citations
4
Venue
Doctoral Workshop on Mathematical and Engineering Methods in Computer Science
Last Checked
4 months ago
Abstract
We show that it is possible to use Bondy-Chvatal closure to design an FPT algorithm that decides whether or not it is possible to cover vertices of an input graph by at most k vertex disjoint paths in the complement of the input graph. More precisely, we show that if a graph has tree-width at most w and its complement is closed under Bondy-Chvatal closure, then it is possible to bound neighborhood diversity of the complement by a function of w only. A simpler proof where tree-depth is used instead of tree-width is also presented.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Data Structures & Algorithms
π
π
The Cartographer
R.I.P.
π»
Ghosted
Route Planning in Transportation Networks
R.I.P.
π»
Ghosted
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
R.I.P.
π»
Ghosted
Hierarchical Clustering: Objective Functions and Algorithms
R.I.P.
π»
Ghosted
Graph Isomorphism in Quasipolynomial Time
π
π
The Cartographer
Simulation optimization: A review of algorithms and applications
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted