COMPUTATIONAL TECHNIQUES FOR THE AUTOMORPHISM-GROUPS OF GRAPHS

被引:16
|
作者
BALASUBRAMANIAN, K
机构
[1] Department of Chemistry and Biochemistry, Arizona State University, Tempe
关键词
D O I
10.1021/ci00019a022
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The algorithm developed by Razinger et al. for the automorphism group of a graph is significantly improved by eliminating the CPU-intensive n3 matrix multiplication operations. The CPU times of the two algorithms are compared. The new algorithm based on memory manipulation reduces the required CPU time for some graphs by a factor of approximately 3350. For example, the new algorithm took 1 min, 29 s of CPU time for a graph containing 16 vertices, while the algorithm of Razinger et al. took 82 h, 54 min, 26 s for the same graph on an IBM RS6000/580 system.
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页码:621 / 626
页数:6
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