Shared-Memory Branch-and-Reduce for Multiterminal Cuts
August 12, 2019 Β· Declared Dead Β· π Workshop on Algorithm Engineering and Experimentation
"No code URL or promise found in abstract"
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Authors
Monika Henzinger, Alexander Noe, Christian Schulz
arXiv ID
1908.04141
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DC
Citations
6
Venue
Workshop on Algorithm Engineering and Experimentation
Last Checked
4 months ago
Abstract
We introduce the fastest known exact algorithm~for~the multiterminal cut problem with k terminals. In particular, we engineer existing as well as new data reduction rules. We use the rules within a branch-and-reduce framework and to boost the performance of an ILP formulation. Our algorithms achieve improvements in running time of up to multiple orders of magnitudes over the ILP formulation without data reductions, which has been the de facto standard used by practitioners. This allows us to solve instances to optimality that are significantly larger than was previously possible.
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