Greed is good: approximating independent sets in sparse and bounded-degree graphs
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
Approximating maximum independent set in bounded degree graphs
SODA '94 Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms
Improved approximations of independent sets in bounded-degree graphs via subgraph removal
Nordic Journal of Computing
Greedy Approximations of Independent Sets in Low Degree Graphs
ISAAC '95 Proceedings of the 6th International Symposium on Algorithms and Computation
Clique is hard to approximate within n1-
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
Proof verification and hardness of approximation problems
SFCS '92 Proceedings of the 33rd Annual Symposium on Foundations of Computer Science
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The classical greedy heuristic for approximating maximum independent set is simple and efficient. It achieves a performance ratio bound of (Δ + 2)/3, where Δ is the degree of the input graph. All known algorithms for the problem with better ratio bounds are complicated and run slowly for moderately large Δ. In this paper, we describe a natural extension of the greedy heuristic. It is as simple and as efficient as the classical greedy heuristic. By a careful analysis on the structure of the intermediate graphs manipulated by our heuristic, we prove that the ratio bound is improved to (Δ + 3)/3.25.