A parallel algorithm for finding a maximum weight clique of an interval graph

1990 ◽  
Vol 13 (2) ◽  
pp. 253-256 ◽  
Author(s):  
Chii-Huah Shyu
1993 ◽  
Vol 03 (03) ◽  
pp. 323-330 ◽  
Author(s):  
TAKAO ASANO

We consider problems on intervals which can be solved by dynamic programming. Specifically, we give an efficient implementation of dynamic programming on intervals. As an application, an optimal sequential partition of a graph G=(V, E) can be obtained in O(m log n) time, where n=|V| and m=|E|. We also present an O(n log n) time algorithm for finding a minimum weight dominating set of an interval graph G=(V, E), and an O(m log n) time algorithm for finding a maximum weight clique of a circular-arc graph G=(V, E), provided their intersection models of n intervals (arcs) are given.


2002 ◽  
Vol 12 (4) ◽  
pp. 928-948 ◽  
Author(s):  
Alessio Massaro ◽  
Marcello Pelillo ◽  
Immanuel M. Bomze

2017 ◽  
Vol 85 ◽  
pp. 113-128 ◽  
Author(s):  
Krishna Teja Malladi ◽  
Snezana Mitrovic-Minic ◽  
Abraham P. Punnen

Networks ◽  
1989 ◽  
Vol 19 (2) ◽  
pp. 247-253 ◽  
Author(s):  
Egon Balas ◽  
Chang Sung Yu

2017 ◽  
Vol 223 ◽  
pp. 120-134 ◽  
Author(s):  
Satoshi Shimizu ◽  
Kazuaki Yamaguchi ◽  
Toshiki Saitoh ◽  
Sumio Masuda

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