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Showing papers on "Spectral graph theory published in 1991"




Journal ArticleDOI
TL;DR: The paper addresses the problem of extracting adjacency information from a description of a solid object in terms of a modular boundary model, the FFC model, and the encoding structure of the connection graph in such a model is described.
Abstract: Modular boundary models are a class of object representations that describe a solid object as a collection of face-abutting components. The face-to-face relationships between components are described in the form of a graph, called the connection graph. The paper addresses the problem of extracting adjacency information from a description of a solid object in terms of a modular boundary model, the FFC model. The encoding structure of the connection graph in such a model is described, and a set of structure-accessing algorithms for retrieving the adjacency relationships from the resulting data structure is defined. Finally, an extension to the connection graph to support instances is briefly presented, and the problems related to the development of adjacency-finding algorithms for such a structure are discussed.

11 citations


Journal ArticleDOI
TL;DR: In this paper, it was shown that for any two topologically similar vertices i and k, A2ji=A2jk; for all j≠k and i where Aji is the cofactor of the (j,i) element of the secular determinant det(xI-A), A is the adjacency matrix of the graph G and I is the (n×n) unit matrix.
Abstract: It has been proved that if {vi}, i= 1–n, is the set of vertices of an undirected labelled graph G, then for any two topologically similar vertices i and k, A2ji=A2jk; for all j≠k and i where Aji is the cofactor of the (j,i) element of the secular determinant det(xI–A), A is the adjacency matrix of the graph G and I is the (n×n) unit matrix.As any real symmetric matrix, A, can be represented by an undirected vertex- and edge-weighted graph (G), the above relation has been utilised, in conjunction with a recently developed graph-theoretical method for expressing eigenvectors of A as polynomials in terms of eigenvalues, to determine a good number of eigenvalues of the matrix. The method, for the first time, utilises a newly developed technique of determination of eigenvectors for evaluation of eigenvalues. In one particular case it has been shown that the present method can reduce the required polynomial equations to a degree lower than that possible by McClelland's technique for factorisation of chemical graphs. Some applications of the method (other than HMO theory), for example, calculation of principal stress tensors in fluid dynamics and force constants in a molecular vibration problem, are illustrated.

1 citations