Faster Parallel Multiterminal Cuts

April 24, 2020 Β· Declared Dead Β· πŸ› Conference on Applied and Computational Discrete Algorithms

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Authors Monika Henzinger, Alexander Noe, Christian Schulz arXiv ID 2004.11666 Category cs.DS: Data Structures & Algorithms Cross-listed math.CO Citations 3 Venue Conference on Applied and Computational Discrete Algorithms Last Checked 4 months ago
Abstract
We give an improved branch-and-bound solver for the multiterminal cut problem, based on the recent work of Henzinger et al.. We contribute new, highly effective data reduction rules to transform the graph into a smaller equivalent instance. In addition, we present a local search algorithm that can significantly improve a given solution to the multiterminal cut problem. Our exact algorithm is able to give exact solutions to more and harder problems compared to the state-of-the-art algorithm by Henzinger et al.; and give better solutions for more than two third of the problems that are too large to be solved to optimality. Additionally, we give an inexact heuristic algorithm that computes high-quality solutions for very hard instances in reasonable time.
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