{"month":"04","year":"2010","publisher":"Springer","day":"01","quality_controlled":0,"title":"A faster algorithm for computing the principal sequence of partitions of a graph","intvolume":" 56","citation":{"chicago":"Kolmogorov, Vladimir. “A Faster Algorithm for Computing the Principal Sequence of Partitions of a Graph.” Algorithmica. Springer, 2010. https://doi.org/10.1007/s00453-008-9177-z.","apa":"Kolmogorov, V. (2010). A faster algorithm for computing the principal sequence of partitions of a graph. Algorithmica. Springer. https://doi.org/10.1007/s00453-008-9177-z","ista":"Kolmogorov V. 2010. A faster algorithm for computing the principal sequence of partitions of a graph. Algorithmica. 56(4), 394–412.","mla":"Kolmogorov, Vladimir. “A Faster Algorithm for Computing the Principal Sequence of Partitions of a Graph.” Algorithmica, vol. 56, no. 4, Springer, 2010, pp. 394–412, doi:10.1007/s00453-008-9177-z.","short":"V. Kolmogorov, Algorithmica 56 (2010) 394–412.","ama":"Kolmogorov V. A faster algorithm for computing the principal sequence of partitions of a graph. Algorithmica. 2010;56(4):394-412. doi:10.1007/s00453-008-9177-z","ieee":"V. Kolmogorov, “A faster algorithm for computing the principal sequence of partitions of a graph,” Algorithmica, vol. 56, no. 4. Springer, pp. 394–412, 2010."},"date_published":"2010-04-01T00:00:00Z","extern":1,"_id":"3202","doi":"10.1007/s00453-008-9177-z","page":"394 - 412","type":"journal_article","issue":"4","publication_status":"published","publication":"Algorithmica","date_created":"2018-12-11T12:01:59Z","status":"public","author":[{"full_name":"Vladimir Kolmogorov","id":"3D50B0BA-F248-11E8-B48F-1D18A9856A87","first_name":"Vladimir","last_name":"Kolmogorov"}],"date_updated":"2021-01-12T07:41:46Z","publist_id":"3480","abstract":[{"text":"We consider the following problem: given an undirected weighted graph G = (V,E,c) with nonnegative weights, minimize function c(δ(Π))- λ|Π| for all values of parameter λ. Here Π is a partition of the set of nodes, the first term is the cost of edges whose endpoints belong to different components of the partition, and |Π| is the number of components. The current best known algorithm for this problem has complexity O(|V| 2) maximum flow computations. We improve it to |V| parametric maximum flow computations. We observe that the complexity can be improved further for families of graphs which admit a good separator, e.g. for planar graphs.","lang":"eng"}],"volume":56}