Abstract
We present an algorithm which calculates a minimum cut and its weight in an undirected graph with nonnegative real edge weights, n vertices and m edges, in time \(O(max(log n, min(m/n, \delta_{G}/\varepsilon))n^2)\), where ε is the minimal edge weight, and δ G the minimal weighted degree. For integer edge weights this time is further improved to O(δ G n 2) and O(λ G n 2).
In both cases these bounds are improvements of the previously known best bounds of deterministic algorithms. These were O(nm + log nn 2) for real edge weights and O(nM+n 2) and O(M+λ G n 2) for integer weights, where M is the sum of all edge weights.
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References
Chekuri, C., Goldberg, A.V., Karger, D.R., Levine, M.S., Stein, C.: Experimental study of minimum cut algorithms. In: Symposium on Discrete Algorithms, pp. 324–333 (1997)
Ford, L.R., Fulkerson, D.R.: Maximal flow through a network. Can. J. Math. 8, 399–404 (1956)
Gabow, H.N.: A matroid approach to finding edge connectivity and packing arborescences. J. Comput. Syst. Sci. 50(2), 259–273 (1995)
Gomory, R.E., Hu, T.C.: Multi-terminal network flows. J. SIAM 9, 551–570 (1961)
Goldberg, A.V., Tarjan, R.E.: A new approach to the maximum flow problem. J. Assoc. Comput. Mach. 35, 921–940 (1988)
Karger, D.R.: Minimum cuts in near-linear time. In: STOC, pp. 56–63 (1996)
Karger, D.R.: Minimum cuts in near-linear time. CoRR, cs.DS/9812007 (1998)
Karger, D.R., Stein, C.: A new approach to the minimum cut problem. J. ACM 43(4), 601–640 (1996)
Matula, D.W.: A linear time 2+epsilon approximation algorithm for edge connectivity. In: SODA, pp. 500–504 (1993)
Nagamochi, H., Ibaraki, T.: Computing edge-connectivity in multigraphs and capacitated graphs. SIAM J. Disc. Math. 5(1), 54–66 (1992)
Nagamochi, H., Ibaraki, T.: A linear-time algorithm for finding a sparse k-connected spanning subgraph of a k-connected graph. Algorithmica 7(5&6), 583–596 (1992)
Nagamochi, H., Ibaraki, T.: Graph connectivity and its augmentation: applications of ma orderings. Discrete Applied Mathematics 123(1-3), 447–472 (2002)
Nagamochi, H., Ishii, T., Ibaraki, T.: A simple proof of a minimum cut algorithm and its applications. TIEICE: IEICE Transactions on Communications/ Electronics/Information and Systems (1999)
Nagamochi, H., Nishimura, K., Ibaraki, T.: Computing all small cuts in undirected networks. In: Du, D.-Z., Zhang, X.-S. (eds.) ISAAC 1994. LNCS, vol. 834, pp. 190–198. Springer, Heidelberg (1994)
Nagamochi, H., Ono, T., Ibaraki, T.: Implementing an efficient minimum capacity cut algorithm. Math. Program. 67, 325–341 (1994)
Padberg, M., Rinaldi, G.: An efficient algorithm for the minimum capacity cut problem. Math. Program. 47, 19–36 (1990)
Stoer, M., Wagner, F.: A simple min-cut algorithm. Journal of the ACM 44(4), 585–591 (1997)
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Brinkmeier, M. (2005). A Simple and Fast Min-cut Algorithm. In: Liśkiewicz, M., Reischuk, R. (eds) Fundamentals of Computation Theory. FCT 2005. Lecture Notes in Computer Science, vol 3623. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11537311_28
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DOI: https://doi.org/10.1007/11537311_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28193-1
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