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Finding Optimal Longest Paths by Dynamic Programming in Parallel

2019/05/08 by Kai Fieger, Fieger, Kai, Tomáš Balyo +5
Computer Science · #Graph Theory and Algorithms #Advanced Graph Theory Research #Data Management and Algorithms

paper · pdf · doi:10.48550/arxiv.1905.03645

Abstract

We propose an exact algorithm for solving the longest simple path problem between two given vertices in undirected weighted graphs. By using graph partitioning and dynamic programming, we obtain an algorithm that is significantly faster than other state-of-the-art methods. This enables us to solve instances that were previously unsolved and solve hard instances significantly faster. Lastly, we present a scalable parallelization which yields the first efficient parallel algorithm for the problem.

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