multilevel algorithms
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2019 ◽  
Vol 54 ◽  
pp. 101395 ◽  
Author(s):  
Michael B. Giles ◽  
Mario Hefter ◽  
Lukas Mayer ◽  
Klaus Ritter


2019 ◽  
Vol 290 ◽  
pp. 121789 ◽  
Author(s):  
Rakhi Dhankhar ◽  
Ashwani Kumar ◽  
Sanjay Kumar ◽  
Deepak Chhabra ◽  
Pratyoosh Shukla ◽  
...  


2019 ◽  
pp. 21-57
Author(s):  
James H Bramble


2019 ◽  
Vol 41 (4) ◽  
pp. A2117-A2145 ◽  
Author(s):  
Julien Herrmann ◽  
M. Yusuf Özkaya ◽  
Bora Uçar ◽  
Kamer Kaya ◽  
Ümit V. Çatalyürek


2019 ◽  
Vol 12 (1) ◽  
pp. 624-649
Author(s):  
Vahan Hovhannisyan ◽  
Yannis Panagakis ◽  
Panos Parpas ◽  
Stefanos Zafeiriou






2012 ◽  
Vol 490-495 ◽  
pp. 504-508
Author(s):  
Lu Yao ◽  
Zheng Hua Wang ◽  
Wei Cao ◽  
Zong Zhe Li

When applying multilevel scheme to solve the graph partitioning problem, shortcomings and limitations exist in the state-of-the-art coarsening schemes depend mainly on finding maximal matchings to obtain the coarse graphs, which can cause the multilevel algorithms to produce poor-quality solutions. This paper proposes an improved coarsening scheme by improving vertex combining strategy and edge ordering criteria. The new coarsening scheme is more effective in quality, which is proved by both theoretical analysis and experimental results.



2010 ◽  
Vol 31 (6) ◽  
pp. 4152-4175 ◽  
Author(s):  
Michele Benzi ◽  
Eldad Haber ◽  
Lauren Taralli


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