English

Faster Algorithms for Parametric Global Minimum Cut Problems

Data Structures and Algorithms 2019-11-28 v1 Discrete Mathematics

Abstract

The parametric global minimum cut problem concerns a graph G=(V,E)G = (V,E) where the cost of each edge is an affine function of a parameter μRd\mu \in \mathbb{R}^d for some fixed dimension dd. We consider the problems of finding the next breakpoint in a given direction, and finding a parameter value with maximum minimum cut value. We develop strongly polynomial algorithms for these problems that are faster than a naive application of Megiddo's parametric search technique. Our results indicate that the next breakpoint problem is easier than the max value problem.

Keywords

Cite

@article{arxiv.1911.11847,
  title  = {Faster Algorithms for Parametric Global Minimum Cut Problems},
  author = {Hassene Aissi and S. Thomas McCormick and Maurice Queyranne},
  journal= {arXiv preprint arXiv:1911.11847},
  year   = {2019}
}

Comments

20 pages, 2 figures