Laplace eigenvalues of graphs—a survey
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TL;DR: Several applications of Laplace eigenvalues of graphs in graph theory and combinatorial optimization are outlined.
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About: This article is published in Discrete Mathematics. The article was published on 12 Nov 1992. and is currently open access. The article focuses on the topics: Inverse Laplace transform & Integral graph.
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Citations
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The Hierarchy of Local Minimums in Polynomial Optimization
TL;DR: In this article, the hierarchy of local minimums of a polynomial in the space is studied, for which the first and second order optimality conditions are satisfied, and a procedure for computing all local minims is given.
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Eigenvalues of Cayley graphs
Xiaogang Liu,Sanming Zhou +1 more
TL;DR: A survey of the known results on eigenvalues of Cayley graphs and their applications can be found in this article, together with related results on Cayley digraphs and generalizations of the Cayley graph.
On the relationships between topological measures in real-world networks
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TL;DR: This study performs a statistical analysis of real data sets, representing the topology of different real-world networks, and suggests that the set of commonly used measures is too extensive to concisely characterize the topologies of complex networks.
On a Conjecture on a Laplacian Matrix with Distinct Integral Spectrum
Assaf Goldberger,Michael Neumann +1 more
TL;DR: This paper considers the nonexistence of graphs whose Laplacian matrix LG has an integral spectrum consisting of simple eigenvalues only in the range 0,...,n, and shows that for sufficiently large n such graphs do not exist.
Detection of abnormal change in a time series of graphs
TL;DR: In the management of large enterprise communication networks, it becomes difficult to detect and identify causes of abnormal change in traffic distributions when the underlying logical topology is unknown.
References
Algebraic graph theory
Norman Biggs
- 16 May 1974
TL;DR: In this article, the authors introduce algebraic graph theory and show that the spectrum of a graph can be modelled as a graph graph, and the spectrum can be represented as a set of connected spanning trees.
3.2K
•Book
Spectra of graphs : theory and application
Dragoš Cvetković,Michael Doob,Horst Sachs +2 more
- 01 Jan 1995
TL;DR: The Spectrum and the Group of Automorphisms as discussed by the authors have been used extensively in Graph Spectra Techniques in Graph Theory and Combinatory Applications in Chemistry an Physics. But they have not yet been applied to Graph Spectral Biblgraphy.
2.2K
On the Shannon capacity of a graph
TL;DR: It is proved that the Shannon zero-error capacity of the pentagon is \sqrt{5} and a well-characterized, and in a sense easily computable, function is introduced which bounds the capacity from above and equals the capacity in a large number of cases.
Partitioning sparse matrices with eigenvectors of graphs
TL;DR: In this paper, it is shown that lower bounds on separator sizes can be obtained in terms of the eigenvalues of the Laplacian matrix associated with a graph.
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