
doi: 10.1007/bf01417514
Summary: \textit{N. Meggido} [Math. Program. 7, 97-107 (1974; Zbl 0296.90048)] showed that the maximum flow through sets of sources in a multiple sink flow network is a polymatroidal function. Recently, \textit{A. Federgruen} and \textit{H. Groenevelt} [``Polymatroidal network flow models with multiple sinks: Transformation to standard network models'', Res. Rep., Grad. School Business, Columbia Univ. 1985; Manage. Sci. 32, 341-349 (1986; Zbl 0603.90071)] have considered polymatroids that can be represented by a multiple source flow network and have improved the running time of an important scheduling application. We give a characterization of network representability and relate representable polymatroids to the theory of grammoids.
multiple sink flow network, polymatroidal function, grammoids, Special polytopes (linear programming, centrally symmetric, etc.), Deterministic network models in operations research, Programming involving graphs or networks, Combinatorial aspects of matroids and geometric lattices
multiple sink flow network, polymatroidal function, grammoids, Special polytopes (linear programming, centrally symmetric, etc.), Deterministic network models in operations research, Programming involving graphs or networks, Combinatorial aspects of matroids and geometric lattices
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