Isbn: 9780521118392 - an introduction to the theory of graph spectra (11 risultati)

Condizione: New.

Condizione: New. In.

Condizione: New. A self-contained introduction to the theory of graph spectra including exercises and an extensive bibliography. Series: London Mathematical Society Student Texts. Num Pages: 378 pages, 5 tables 140 exercises. BIC Classification: PBV. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 236 x 157 x 29. Weight in Grams: 720. . 2009. Illustrated. hardcover. . . . . …

Condizione: New. A self-contained introduction to the theory of graph spectra including exercises and an extensive bibliography. Series: London Mathematical Society Student Texts. Num Pages: 378 pages, 5 tables 140 exercises. BIC Classification: PBV. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 236 x 157 x 29. Weight in Grams: 720. . 2009. Illustrated. hardcover. . . . . Books ship from the US and Ireland. …

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This introductory text explores the theory of graph spectra: a topic with applications across a wide range of subjects, including computer science, quantum chemistry and electrical engineering. The spectra examined here are those of the adjacency matrix, the Seidel matrix, the Laplacian, the normalized Laplacian and the signless Laplacian of a finite simple graph. The underlying theme of the book is the relation between the eigenvalues and structure of a graph. Designed as an introductory text for graduate students, or anyone using the theory of graph spectra, this self-contained treatment assumes only a little knowledge of graph theory and linear algebra. The authors include many developments in the field which arise as a result of rapidly expanding interest in the area. Exercises, spectral data and proofs of required results are also provided. The end-of-chapter notes serve as a practical guide to the extensive bibliography of over 500 items.…

Condizione: New. Print on Demand pp. 378.

Condizione: New. Print on Demand pp. 378 9:B&W 6 x 9 in or 229 x 152 mm Case Laminate on Creme w/Gloss Lam.

Condizione: New. PRINT ON DEMAND pp. 378.

Hardcover. Condizione: new. Hardcover. This introductory text explores the theory of graph spectra: a topic with applications across a wide range of subjects, including computer science, quantum chemistry and electrical engineering. The spectra examined here are those of the adjacency matrix, the Seidel matrix, the Laplacian, the normalized Laplacian and the signless Laplacian of a finite simple graph. The underlying theme of the book is the relation between the eigenvalues and structure of a graph. Designed as an introductory text for graduate students, or anyone using the theory of graph spectra, this self-contained treatment assumes only a little knowledge of graph theory and linear algebra. The authors include many developments in the field which arise as a result of rapidly expanding interest in the area. Exercises, spectral data and proofs of required results are also provided. The end-of-chapter notes serve as a practical guide to the extensive bibliography of over 500 items. This is an introductory text for graduate students, or anyone using the theory of graph spectra, that assumes only a little knowledge of graph theory and linear algebra. The authors include developments in the field, exercises, spectral data, detailed proofs and an extensive bibliography. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is an introductory text for graduate students, or anyone using the theory of graph spectra, that assumes only a little knowledge of graph theory and linear algebra. The authors include developments in the field, exercises, spectral data, detailed proof.…

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.