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作者:Skutella, M; Woeginger, GJ
作者单位:Technical University of Berlin; Graz University of Technology
摘要:We consider the problem of scheduling a set of n jobs on m identical parallel machines so as to minimize the weighted sum of job completion limes. This problem is NP-hard in the strong sense. The best approximation result known so far was a 1/2 (1 + root 2)-approximation algorithm that has been derived by Kawaguchi and Kyan back in 1986. The contribution of this paper is a polynomial time approximation scheme for this setting, which settles a problem that was open for a long time. Moreover, ou...
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作者:Rosenberg, D; Vieille, N
作者单位:Universite Paris 13; Universite de Bordeaux; Institut Polytechnique de Paris; Ecole Polytechnique
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作者:Shigeno, M; Iwata, S; McCormick, ST
作者单位:University of Tsukuba; University of Osaka; University of British Columbia
摘要:This paper presents two new scaling algorithms for the minimum cost network flow problem, one a primal cycle canceling algorithm, the other a dual cut canceling algorithm. Both algorithms scale a relaxed optimality parameter, and create a second, inner relaxation. The primal algorithm uses the inner relaxation to cancel a most negative node-disjoint Family of cycles w.r.t. the scaled parameter, the dual algorithm uses it to cancel most positive cuts w.r.t. the scaled parameter. We show that in...