Matrix Scaling: a New Heuristic for the Feedback Vertex Set Problem

Fuente: arXiv
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Autori principali: Shook, James M., Beichl, Isabel
Natura: Preprint
Pubblicazione: 2025
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author Shook, James M.
Beichl, Isabel
author_facet Shook, James M.
Beichl, Isabel
contents For a digraph $G$, a set $F\subseteq V(G)$ is said to be a feedback vertex set (FVS) if $G-F$ is acyclic. The problem of finding a smallest FVS is NP-hard. We present a matrix scaling technique for finding feedback vertex sets in un-weighted directed graphs that runs in $O(|F|\log(|V|)|V|^{2})$ time. Our technique is empirically shown to produce smaller feedback vertex sets than other known heuristics and in a shorter amount of time.
format Preprint
id arxiv_https___arxiv_org_abs_2503_10780
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Matrix Scaling: a New Heuristic for the Feedback Vertex Set Problem
Shook, James M.
Beichl, Isabel
Data Structures and Algorithms
Discrete Mathematics
Combinatorics
For a digraph $G$, a set $F\subseteq V(G)$ is said to be a feedback vertex set (FVS) if $G-F$ is acyclic. The problem of finding a smallest FVS is NP-hard. We present a matrix scaling technique for finding feedback vertex sets in un-weighted directed graphs that runs in $O(|F|\log(|V|)|V|^{2})$ time. Our technique is empirically shown to produce smaller feedback vertex sets than other known heuristics and in a shorter amount of time.
title Matrix Scaling: a New Heuristic for the Feedback Vertex Set Problem
topic Data Structures and Algorithms
Discrete Mathematics
Combinatorics
url https://arxiv.org/abs/2503.10780