Xueliang Li, Yongtang Shi, Ivan Gutman

Graph Energy

• Gebundenes Buch

Produktbeschreibung

This book is about graph energy. The authors have included many of the important results on graph energy, such as the complete solution to the conjecture on maximal energy of unicyclic graphs, the Wagner-Heuberger's result on the energy of trees, the energy of random graphs or the approach to energy using singular values. It contains an extensive coverage of recent results and a gradual development of topics and the inclusion of complete proofs from most of the important recent results in the area. The latter fact makes it a valuable reference for researchers looking to get into the field of graph energy, further stimulating it with occasional inclusion of open problems. The book provides a comprehensive survey of all results and common proof methods obtained in this field with an extensive reference section. The book is aimed mainly towards mathematicians, both researchers and doctoral students, with interest in the field of mathematical chemistry.

Produktdetails

• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4614-4219-6
• 2012
• Seitenzahl: 280
• Erscheinungstermin: 10. August 2012
• Englisch
• Abmessung: 241mm x 160mm x 19mm
• Gewicht: 573g
• ISBN-13: 9781461442196
• ISBN-10: 1461442192
• Artikelnr.: 35512048

Inhaltsangabe

Preface.- Introduction.- The Chemical Connection.- The Coulson Integral Formula.- Common Proof Methods.- Bounds for the Energy of Graphs.- The Energy of Random Graphs.- Graphs Extremal with with Regard to Energy.- Hypernergetic and Equienergetic Graphs.- Miscellaneous.- Other Graph Energies.- Bibliography.- Index.

Rezensionen

From the reviews: "This book summarizes the most important results involving graph energy. It is addressed to researchers in areas such as spectral graph theory, combinatorics and linear algebra, as well as mathematical chemistry. ... This is a nice book that will be useful for researchers working in this area and for those wanting to learn more about graph energy." (Sebastian M. Cioaba, Mathematical Reviews, April, 2013)