Results 111 to 120 of about 467 (123)
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A Heuristic Approach to the Treedepth Decomposition Problem for Large Graphs

Lecture Notes in Computer Science, 2021
In this article, we describe algorithms and techniques used in the method ExTREEm for the treedepth decomposition problem. ExTREEm won the heuristic track of the 5th Parameterized Algorithms and Computational Experiments Challenge (PACE 2020). It searches for a minimum-height treedepth decomposition of a graph via computing graph separators.
Sylwester Swat, Marta Kasprzak
exaly   +2 more sources

A Faster Parameterized Algorithm for Treedepth [PDF]

open access: yesLecture Notes in Computer Science, 2014
The width measure \emph{treedepth}, also known as vertex ranking, centered coloring and elimination tree height, is a well-established notion which has recently seen a resurgence of interest. We present an algorithm which---given as input an $n$-vertex graph, a tree decomposition of the graph of width $w$, and an integer $t$---decides Treedepth, i.e ...
Felix Reidl   +2 more
exaly   +4 more sources

Exploring the Gap Between Treedepth and Vertex Cover Through Vertex Integrity [PDF]

open access: yesLecture Notes in Computer Science, 2021
30 pages, 5 figures, CIAC ...
Tesshu Hanaka   +2 more
exaly   +3 more sources

On the size of minimal separators for treedepth decomposition

open access: yesDiscrete Applied Mathematics
The major changes from the first version are as follows. (1) The conjecture was resolved and the upper bound was slightly improved. (2) The experimental results were not correct and were removed. Specifically, there was a problem in the separator enumeration when we extended SMS [Korhonen 2020].
Vorapong Suppakitpaisarn
exaly   +5 more sources

Compact representation of graphs with bounded bandwidth or treedepth

Information and Computation, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shahin Kamali
exaly   +3 more sources

Treedepth Bounds in Linear Colorings

Lecture Notes in Computer Science, 2018
Low-treedepth colorings are an important tool for algorithms that exploit structure in classes of bounded expansion; they guarantee subgraphs that use few colors have bounded treedepth. These colorings have an implicit tradeoff between the total number of colors used and the treedepth bound, and prior empirical work suggests that the former dominates ...
Blair D Sullivan, Jeremy Kun
exaly   +4 more sources

Hamiltonian Cycle Parameterized by Treedepth in Single Exponential Time and Polynomial Space [PDF]

open access: yesSIAM Journal on Discrete Mathematics, 2023
For many algorithmic problems on graphs of treewidth t, a standard dynamic programming approach gives algorithms with time and space complexity 2 (*'-n ' K It turns out that when one considers the more restrictive parameter treedepth, it is often the ...
Michał Pilipczuk   +2 more
exaly   +1 more source

The Mixed Chinese Postman Problem Parameterized by Pathwidth and Treedepth

SIAM Journal on Discrete Mathematics, 2016
Summary: In the mixed Chinese postman problem (MCPP), given a weighted mixed graph \(G\) (it may have both edges and arcs), our aim is to find a closed walk of minimum weight traversing each edge and arc at least once. The MCPP parameterized by the number of edges in \(G\) or the number of arcs in \(G\) is fixed-parameter tractable as proved by \textit{
Magnus Wahlstrom, Gregory Gutin
exaly   +3 more sources

Compact Representation of Graphs with Small Bandwidth and Treedepth

2020 Data Compression Conference (DCC), 2020
We consider the problem of compact representation of graphs with small bandwidth as well as graphs with small treedepth. These parameters capture structural properties of graphs that come in useful in certain applications. We present simple navigation oracles that support degree and adjacency queries in constant time and neighborhood query in constant ...
Shahin Kamali
exaly   +3 more sources

Exploring the gap between treedepth and vertex cover through vertex integrity

Theoretical Computer Science, 2022
Tesshu Hanaka   +2 more
exaly  

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