| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 406294 | Neurocomputing | 2015 | 8 Pages |
Abstract
In this paper, the generalized inverse representations for the Laplacian block matrices of graphs G1⊡G2G1⊡G2 and G1⊟G2G1⊟G2 are proposed, based on which the explicit resistance distance can be obtained for the arbitrary two-vertex resistance in the electrical networks. Moreover, some numerical examples are presented, which show the correction and efficiency of the obtained results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jia-Bao Liu, Jinde Cao,