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A new Karzanov-type O(n3) max-flow algorithm

dc.contributor.authorWaissi, Gary R.en_US
dc.date.accessioned2006-04-10T15:20:18Z
dc.date.available2006-04-10T15:20:18Z
dc.date.issued1992-02en_US
dc.identifier.citationWaissi, Gary R. (1992/02)."A new Karzanov-type O(n3) max-flow algorithm." Mathematical and Computer Modelling 16(2): 65-72. <http://hdl.handle.net/2027.42/30217>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V0V-45DB0HW-7/2/9053898b16e6fa28be3b068493910abfen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/30217
dc.description.abstractA new algorithm is presented for finding maximal and maximum value flows in directed single commodity networks. The algorithm gradually converts a combination of blocking preflows and backflows to a maximal flow in the network. Unlike other maximal flow algorithms, the algorithm treats the network more symmetrically by attempting to increase flow on both the ForwardStep and the BackwardStep. The algorithm belongs to the so called phase algorithms, and is applied to Dinic-type layered networks. With an effort of at most O(n3) for maximum value flow, the algorithm ties with the fastest maximum flow algorithms in dense networks, where m [approximate] n2, and can therefore be seen as a significant alternate technique. The algorithm is based on the Karzanov [1] algorithm, and shares features with the algorithm of Tarjan [2]. The first version of this algorithm was presented by the author in [3].en_US
dc.format.extent748836 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleA new Karzanov-type O(n3) max-flow algorithmen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPhilosophyen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSchool of Management, University of Michigan-Dearborn Dearborn, Michigan 48128-1491, USA U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/30217/1/0000609.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0895-7177(92)90007-8en_US
dc.identifier.sourceMathematical and Computer Modellingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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