Graph Theory with Applications to Engineering and Computer Science - by Narsingh Deo (Paperback)
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<p/><br></br><p><b> About the Book </b></p></br></br>Outstanding introductory treatment, geared toward advanced undergraduates and graduate students who require knowledge of graph theory. The first nine chapters constitute an excellent overview; the remaining chapters are more advanced and provide material for a variety of courses. 1974 edition.<p/><br></br><p><b> Book Synopsis </b></p></br></br>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.<br>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.<p/><br></br><p><b> From the Back Cover </b></p></br></br><p>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.<br>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. <br>Dover republication of the Prentice-Hall, Englewood Cliffs, New Jersey, 1974 edition. <br><b>www.doverpublications.com</b></p><p/><br></br><p><b> About the Author </b></p></br></br>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.
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