A General Approximation Technique for Constrained Forest Problems
SIAM Journal on Computing
The primal-dual method for approximation algorithms and its application to network design problems
Approximation algorithms for NP-hard problems
Communication: A class of heuristics for the constrained forest problem
Discrete Applied Mathematics
Complexity and approximation of the Constrained Forest problem
Theoretical Computer Science
A 3/2 approximation for a constrained forest problem
ESA'11 Proceedings of the 19th European conference on Algorithms
A greedy heuristic for a minimum-weight forest problem
Operations Research Letters
Approximating minimum-cost graph problems with spanning tree edges
Operations Research Letters
Another greedy heuristic for the constrained forest problem
Operations Research Letters
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In an ESA 2011 paper, Couëtoux [2] gives a beautiful $\frac{3}{2}$-approximation algorithm for the problem of finding a minimum-cost set of edges such that each connected component has at least k vertices in it. The algorithm improved on previous 2-approximation algorithms for the problem. In this paper, we reanalyze Couëtoux's algorithm using dual-fitting and show how to generalize the algorithm to a broader class of graph problems previously considered in the literature.