Max Flow and Min Cut with bounded-length paths: complexity, algorithms, and approximation
Mahjoub, Ali Ridha; McCormick, S. Thomas (2010), Max Flow and Min Cut with bounded-length paths: complexity, algorithms, and approximation, Mathematical Programming, 124, 1-2, p. 271-284. http://dx.doi.org/10.1007/s10107-010-0366-6
Type
Article accepté pour publication ou publiéDate
2010Nom de la revue
Mathematical ProgrammingVolume
124Numéro
1-2Éditeur
Springer
Pages
271-284
Identifiant publication
Métadonnées
Afficher la notice complèteRésumé (EN)
We consider the “flow on paths” versions of Max Flow and Min Cut when we restrict to paths having at most B arcs, and for versions where we allow fractional solutions or require integral solutions. We show that the continuous versions are polynomial even if B is part of the input, but that the integral versions are polynomial only when B ≤ 3. However, when B ≤ 3 we show how to solve the problems using ordinary Max Flow/Min Cut. We also give tight bounds on the integrality gaps between the integral and continuous objective values for both problems, and between the continuous objective values for the bounded-length paths version and the version allowing all paths. We give a primal–dual approximation algorithm for both problems whose approximation ratio attains the integrality gap, thereby showing that it is the best possible primal–dual approximation algorithm.Mots-clés
Min Cut; Max Flow; approximation algorithmsPublications associées
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