Graph Spectra for Complex Networks

De (autor)
Notă GoodReads:
en Limba Engleză Paperback – 25 Oct 2012
Analyzing the behavior of complex networks is an important element in the design of new man-made structures such as communication systems and biologically engineered molecules. Because any complex network can be represented by a graph, and therefore in turn by a matrix, graph theory has become a powerful tool in the investigation of network performance. This self-contained 2010 book provides a concise introduction to the theory of graph spectra and its applications to the study of complex networks. Covering a range of types of graphs and topics important to the analysis of complex systems, this guide provides the mathematical foundation needed to understand and apply spectral insight to real-world systems. In particular, the general properties of both the adjacency and Laplacian spectrum of graphs are derived and applied to complex networks. An ideal resource for researchers and students in communications networking as well as in physics and mathematics.
Citește tot Restrânge
Toate formatele și edițiile
Toate formatele și edițiile Preț Express
Paperback (1) 27719 lei  49-61 zile +10082 lei  14-22 zile
  Cambridge University Press – 25 Oct 2012 27719 lei  49-61 zile +10082 lei  14-22 zile
Hardback (1) 65996 lei  49-61 zile +28561 lei  14-22 zile
  Cambridge University Press – 02 Dec 2010 65996 lei  49-61 zile +28561 lei  14-22 zile

Preț: 27719 lei

Preț vechi: 34649 lei

Puncte Express: 416

Preț estimativ în valută:
5403 5892$ 4755£

Carte tipărită la comandă

Livrare economică 17-29 martie
Livrare express 10-18 februarie pentru 11081 lei

Preluare comenzi: 021 569.72.76


ISBN-13: 9781107411470
ISBN-10: 1107411475
Pagini: 364
Dimensiuni: 189 x 246 x 19 mm
Greutate: 0.64 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării: New York, United States


Preface; Acknowledgements; 1. Introduction; Part I. Spectra of Graphs: 2. Algebraic graph theory; 3. Eigenvalues of the adjacency matrix; 4. Eigenvalues of the Laplacian Q; 5. Spectra of special types of graphs; 6. Density function of the eigenvalues; 7. Spectra of complex networks; Part II. Eigensystem and Polynomials: 8. Eigensystem of a matrix; 9. Polynomials with real coefficients; 10. Orthogonal polynomials; List of symbols; Bibliography; Index.