Title
Finding Optimal Longest Paths by Dynamic Programming in Parallel.
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.
Year
Venue
Field
2019
SOCS
Dynamic programming,Discrete mathematics,Graph,Path (graph theory),Exact algorithm,Vertex (geometry),Parallel algorithm,Algorithm,Graph partition,Mathematics,Scalability
DocType
Volume
Citations 
Journal
abs/1905.03645
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Kai Fieger100.68
Tomás Balyo200.34
Christian Schulz324024.10
Dominik Schreiber400.68