Threshold-based preprocessing for approximating the weighted dense k-subgraph problem

S. Borgwardt and F. Schmiedl

European Journal of Operational Research, 2014, vol. 234, issue 3, 631-640

Abstract: Based on an application in forestry, we study the dense k-subgraph problem: Given a parameter k∈N and an undirected weighted graph G, the task is to find a subgraph of G with k vertices such that the sum of the weights of the induced edges is maximized. The problem is well-known to be NP-hard and difficult to approximate if the underlying graph does not satisfy the triangle inequality.

Keywords: (I) Graph theory; OR in forestry; Dense subgraph; Approximation algorithms (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:234:y:2014:i:3:p:631-640

DOI: 10.1016/j.ejor.2013.09.027

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