Years and Authors of Summarized Original Work
1999; Feige, Krauthgamer
Problem Definition
Overview
Minimum bisection is a basic representative of a family of discrete optimization problems dealing with partitioning the vertices of an input graph. Typically, one wishes to minimize the number of edges going across between the different pieces, while keeping some control on the partition, say by restricting the number of pieces and/or their size. (This description corresponds to an edge-cut of the graph; other variants correspond to a vertex-cut with similar restrictions.) In the minimum bisection problem, the goal is to partition the vertices of an input graph into two equal-size sets, such that the number of edges connecting the two sets is as small as possible.
In a seminal paper in 1988, Leighton and Rao [14] devised for Minimum-Bisectiona logarithmic-factor bicriteria approximation algorithm. (A bicriteria approximation algorithm partitions the vertices into two sets each...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
Alpert CJ, Kahng AB (1995) Recent directions in netlist partitioning: a survey. Integr VLSI J 19(1–2):1–81
Arora S, Rao S, Vazirani U (2004) Expander flows, geometric embeddings, and graph partitionings. In: 36th annual symposium on the theory of computing, Chicago, June 2004, pp 222–231
Berman P, Karpinski M (2003) Approximability of hypergraph minimum bisection. ECCC report TR03-056, Electronic Colloquium on Computational Complexity, vol 10
Bui TN, Jones C (1992) Finding good approximate vertex and edge partitions is NP-hard. Inform Process Lett 42(3):153–159
Coja-Oghlan A, Goerdt A, Lanka A, Schädlich F (2004) Techniques from combinatorial approximation algorithms yield efficient algorithms for random 2k-SAT. Theory Comput Sci 329(1–3):1–45
Feige U (2002) Relations between average case complexity and approximation complexity. In: 34th annual ACM symposium on the theory of computing, Montréal, 19–21 May 2002, pp 534–543
Feige U, Krauthgamer R (2006) A polylogarithmic approximation of the minimum bisection. SIAM Rev 48(1):99–130, Previous versions appeared in Proceedings of 41st FOCS, 1999; and in SIAM J Comput 2002
Feige U, Yahalom O (2003) On the complexity of finding balanced oneway cuts. Inf Process Lett 87(1):1–5
Garey MR, Johnson DS (1979) Computers and intractability: a guide to the theory of NP-completeness. W.H. Freeman
Karger DR (2000) Minimum cuts in near-linear time. J ACM 47(1):46–76
Kernighan BW, Lin S (1970) An efficient heuristic procedure for partitioning graphs. Bell Syst Tech J 49(2):291–307
Khot S (2004) Ruling out PTAS for graph min-bisection, densest subgraph and bipartite clique. In: 45th annual IEEE symposium on foundations of computer science, Georgia Institute of Technology, Atlanta, 17–19 Oct 2004, pp 136–145
Klein P, Plotkin SA, Rao S (1993) Excluded minors, network decomposition, and multicommodity flow. In: 25th annual ACM symposium on theory of computing, San Diego, 16–18 May 1993, pp 682–690
Leighton T, Rao S (1999) Multicommodity max-flow min-cut theorems and their use in designing approximation algorithms. J ACM 46(6):787–832, 29th FOCS, 1988
Lipton RJ, Tarjan RE (1980) Applications of a planar separator theorem. SIAM J Comput 9(3):615–627
Rosenberg AL, Heath LS (2001) Graph separators, with applications. Frontiers of computer science. Kluwer/Plenum, New York
Svitkina Z, Tardos É (2004) Min-Max multiway cut. In: 7th international workshop on approximation algorithms for combinatorial optimization (APPROX), Cambridge, 22–24 Aug 2004, pp 207–218
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media New York
About this entry
Cite this entry
Krauthgamer, R. (2016). Minimum Bisection. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_231
Download citation
DOI: https://doi.org/10.1007/978-1-4939-2864-4_231
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-2863-7
Online ISBN: 978-1-4939-2864-4
eBook Packages: Computer ScienceReference Module Computer Science and Engineering