Graph Theory with Applications to Engineering and Computer Science (Prentice Hall Series in Automatic Computation)

Narsingh Deo

ISBN 10: 0133634736 / ISBN 13: 9780133634730

Published by Prentice Hall, 1974

About this Item

The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.

Seller Inventory # BSM.1A6XQ

Bibliographic Details

• Title: Graph Theory with Applications to Engineering and Computer Science (Prentice Hall Series in Automatic Computation)
• Publisher: Prentice Hall
• Publication Date: 1974
• Language: English
• ISBN 10: 0133634736
• ISBN 13: 9780133634730
• Binding: Hardcover
• Condition: good

About this title

Synopsis

This outstanding introductory treatment of graph theory and its applications has had a long life in the instruction of advanced undergraduates and graduate students in all areas that require knowledge of this subject. The first nine chapters constitute an excellent overall introduction, requiring only some knowledge of set theory and matrix algebra. Topics include paths and circuits, trees and fundamental circuits, planar and dual graphs, vector and matrix representation of graphs, and related subjects.
The remaining six chapters are more advanced, covering graph theory algorithms and computer programs, graphs in switching and coding theory, electrical network analysis by graph theory, graph theory in operations research, and more. Instructors may combine these chapters with the preceding material for courses in a variety of fields, including electrical engineering, computer science, operations research, and applied mathematics.

About the Author

Narsingh Deo holds the Charles N. Millican Eminent Scholar's Chair in Computer Science and is the Director of the Center for Parallel Computation at the University of Central Florida, Orlando. Previously he was Professor of Computer Science at Washington State University, where he also served as the Department Chair.