Accelerating all-pairs shortest path algorithms for bipartite graphs on graphics processing units-Reference-Cited by-同舟云学术

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Accelerating all-pairs shortest path algorithms for bipartite graphs on graphics processing units

Published:2022-02-09 Issue:7 Volume:81 Page:9549-9566
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Hanif Muhammad Kashif^ORCID,Zimmermann Karl-Heinz,Anees Asad

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-12066-0.pdf

Reference46 articles.

1. Ali MKM, Kamoun F (1993) Neural networks for shortest path computation and routing in computer networks. IEEE Transactions on Neural Networks 4 (6):941–954

2. Araujo F, Ribeiro B, Rodrigues L (2001) A neural network for shortest path computation. IEEE Transactions on Neural Networks 12(5):1067–1073

3. Asratian AS, Denley TM, Häggkvist R (1998) Bipartite graphs and their applications. vol 131 Cambridge University Press

4. Bellman R (1956) On a routing problem. Tech. rep., DTIC Document

5. Cha Y (1997) Navigation of a free-ranging mobile robot using heuristic local path-planning algorithm. Robot Comput Integr Manuf 13(2):145–156

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1. Reliable lifelong planning A*: Technique for re-optimizing reliable shortest paths when travel time distribution updating;Transportation Research Part E: Logistics and Transportation Review;2024-08

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