## Abstract

The classical Okamura–Seymour theorem states that for an edge-capacitated, multi-commodity flow instance in which all terminals lie on a single face of a planar graph, there exists a feasible concurrent flow if and only if the cut conditions are satisfied. Simple examples show that a similar theorem is impossible in the node-capacitated setting. Nevertheless, we prove that an approximate flow/cut theorem does hold: For some universal $$\varepsilon > 0$$ε>0, if the node cut conditions are satisfied, then one can simultaneously route an $$\varepsilon $$ε-fraction of all the demands. This answers a question of Chekuri and Kawarabayashi. More generally, we show that this holds in the setting of the multi-commodity polymatroid networks introduced by Chekuri et al. (ITCS, pp 399–408, 2012). In their framework, one associates to each node a submodular function on the adjacent edges that dictates the types of flows the node can support. In order to round the convex programs corresponding to node and polymatroid-capacitated flows, we devise a new type of random metric embedding that preserves some of the combinatorial structure of the underlying graph.

Original language | English |
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Pages (from-to) | 381-415 |

Number of pages | 35 |

Journal | Mathematical Programming |

Volume | 153 |

Issue number | 2 |

DOIs | |

State | Published - 22 Nov 2015 |

## Keywords

- 05C10
- 05C21

## All Science Journal Classification (ASJC) codes

- Software
- General Mathematics