Approximation Algorithms for the Graph Burning on Cactus and Directed Trees
July 17, 2023 Β· Declared Dead Β· π Discret. Math. Algorithms Appl.
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Authors
Rahul Kumar Gautam, Anjeneya Swami Kare, S. Durga Bhavani
arXiv ID
2307.08505
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DM
Citations
1
Venue
Discret. Math. Algorithms Appl.
Last Checked
4 months ago
Abstract
Given a graph $G=(V, E)$, the problem of Graph Burning is to find a sequence of nodes from $V$, called a burning sequence, to burn the whole graph. This is a discrete-step process, and at each step, an unburned vertex is selected as an agent to spread fire to its neighbors by marking it as a burnt node. A burnt node spreads the fire to its neighbors at the next consecutive step. The goal is to find the burning sequence of minimum length. The Graph Burning problem is NP-Hard for general graphs and even for binary trees. A few approximation results are known, including a $ 3$-approximation algorithm for general graphs and a $ 2$-approximation algorithm for trees. The Graph Burning on directed graphs is more challenging than on undirected graphs. In this paper, we propose 1) A $2.75$-approximation algorithm for a cactus graph (undirected), 2) A $3$-approximation algorithm for multi-rooted directed trees (polytree) and 3) A $1.905$-approximation algorithm for single-rooted directed tree (arborescence). We implement all the three approximation algorithms and the results are shown for randomly generated cactus graphs and directed trees.
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