Transportation in graphs and the admittance spectrum
Discrete Applied Mathematics
A new algorithm for finding a pseudoperipheral node in a graph
SIAM Journal on Matrix Analysis and Applications
Partitioning sparse matrices with eigenvectors of graphs
SIAM Journal on Matrix Analysis and Applications
Graph theory and its applications
Graph theory and its applications
A multi-level finite element nodal ordering using algebraic graph theory
Finite Elements in Analysis and Design
Graph products for configuration processing of space structures
Computers and Structures
Finite Elements in Analysis and Design
Factorization of product graphs for partitioning and domain decomposition
Finite Elements in Analysis and Design
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In this article, an efficient method for calculating the eigenvalues of space structures with regular topologies is presented. In this method, the topology of a structure is formed as the Cartesian product of its generators, and the eigenvalues of the adjacency and Laplacian matrices for their graph models are easily calculated using the eigenvalues of their generators. A fast method is also proposed for computing the second eigenvalue of the Laplacian of a graph known as the Fiedler vector, which is used for nodal ordering of space structures, leading to well-structured stiffness matrices.