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This fascinating volume investigates the structure of eigenvectors and looks at the number of their sign graphs ("nodal domains"), Perron components, and graphs

This introductory text explores the theory of graph spectra: a topic with applications across a wide range of subjects, including computer science, quantum chem

Provides a comprehensive survey of techniques to automatically construct basis functions or features for value function approximation in Markov decision process

Spectral Radius of Graphs provides a thorough overview of important results on the spectral radius of adjacency matrix of graphs that have appeared in the liter

The theory of graph spectra can, in a way, be considered as an attempt to utilize linear algebra including, in particular, the well-developed theory of matrices