Asymptotic performance of the Grimmett-McDiarmid heuristic
Yuval Filmus

TL;DR
This paper analyzes the asymptotic distribution of the size of stable sets found by the Grimmett-McDiarmid heuristic in random graphs, extending previous results on its typical size.
Contribution
It provides the first detailed asymptotic distribution analysis of the heuristic's output in Erdős–Rényi graphs.
Findings
Determines the asymptotic distribution of the stable set size
Extends understanding of heuristic performance beyond expected size
Provides probabilistic insights into the heuristic's behavior
Abstract
Grimmett and McDiarmid suggested a simple heuristic for finding stable sets in random graphs. They showed that the heuristic finds a stable set of size (with high probability) on a random graph. We determine the asymptotic distribution of the size of the stable set found by the algorithm.
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Data Management and Algorithms
