Abstract
We want to find a forest of minimal weight such that each component of this forest is of size at least p. In this paper, we improve the best approximation ratio of \(2-\frac{1}{|V|}\) for this problem obtained by Goemans and Williamson in 1995 to \(\frac{3}{2}\) with a greedy algorithm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bazgan, C., Couëtoux, B., Tuza, Z.: Complexity and approximation of the constrained forest problem. Theoretical Computer Science (to appear, 2011)
Goemans, M.X., Williamson, D.P.: A general approximation technique for constrained forest problems. Society for Industrial and Applied Mathematics 1(24), 296–317 (1995)
Guttmann-Beck, N., Hassin, R.: Approximation algorithms for minimum tree partition. Discrete Applied Mathematics 87(1-3), 117–137 (1998)
Imielinska, C., Kalantari, B., Khachiyan, L.: A greedy heristic for a minmum-weight forest problem. Operations Research Letters 1(14), 65–71 (1993)
Laszlo, M., Mukherjee, S.: Another greedy heuristic for the constrained forest problem. Mathematical Programming 1(33), 629–633 (2005)
Laszlo, M., Mukherjee, S.: A class of heuristics for the constrained forest problem. Discrete Applied Mathematics 1(154), 6–14 (2006)
Monnot, J., Toulouse, S.: The path partition problem and related problems in bipartite graphs. Operations Research Letters 1(35), 677–684 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Couëtoux, B. (2011). A \(\frac{3}{2}\) Approximation for a Constrained Forest Problem. In: Demetrescu, C., Halldórsson, M.M. (eds) Algorithms – ESA 2011. ESA 2011. Lecture Notes in Computer Science, vol 6942. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23719-5_55
Download citation
DOI: https://doi.org/10.1007/978-3-642-23719-5_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23718-8
Online ISBN: 978-3-642-23719-5
eBook Packages: Computer ScienceComputer Science (R0)