Max Flow and Min Cut with bounded-length paths: complexity, algorithms, and approximation

成果类型:
Article
署名作者:
Mahjoub, A. Ridha; McCormick, S. Thomas
署名单位:
Universite PSL; Universite Paris-Dauphine; Centre National de la Recherche Scientifique (CNRS); University of British Columbia
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-010-0366-6
发表日期:
2010
页码:
271-284
关键词:
disjoint paths network flow
摘要:
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.