In this note we introduce a graph problem, called Maximum Node Clustering (MNC). We prove that the problem (which is easily shown to be strongly NP-complete) can be approximated in polynomial time within a ratio arbitrarily close to 2. For the special case where the graph is a tree, the problem is NP-complete in the ordinary sense; for this case we present a pseudopolynomial algorithm based on dynamic programming, and a related Fully Polynomial Time Approximation Scheme (FPTAS). Also, the tree case is shown to be exactly solvable in O(2^(2n/3)poly(n)) time, where n is the number of nodes.

A "maximum node clustering" problem

CARELLO, GIULIANA;
2006-01-01

Abstract

In this note we introduce a graph problem, called Maximum Node Clustering (MNC). We prove that the problem (which is easily shown to be strongly NP-complete) can be approximated in polynomial time within a ratio arbitrarily close to 2. For the special case where the graph is a tree, the problem is NP-complete in the ordinary sense; for this case we present a pseudopolynomial algorithm based on dynamic programming, and a related Fully Polynomial Time Approximation Scheme (FPTAS). Also, the tree case is shown to be exactly solvable in O(2^(2n/3)poly(n)) time, where n is the number of nodes.
2006
Maximum Node Clustering - Knapsack - Complexity - Approximation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/552922
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