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Graph Theory with Applications to Engineering and Computer Science

Narsingh Deo

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ISBN 10: 8120301455 / ISBN 13: 9788120301450
Published by PHI Learning 0
New Condition: New Soft cover
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About this Item

Because of its inherent simplicity, graph theory has a wide range of applications in engineering, and in physical sciences. It has of course uses in social sciences, in linguistics and in numerous other areas. In fact, a graph can be used to represent almost any physical situation involving discrete objects and the relationship among them. Now with the solutions to engineering and other problems becoming so complex leading to larger graphs, it is virtually difficult to analyze without the use of computers. CONTENTS: Preface. Introduction. Paths and Circuits. Trees and Fundamental Circuits. Cut-Sets and Cut-Vertices. Planar and Dual Graphs. Vector Spaces of a Graph. Matrix Representation of Graphs. Coloring, Covering, and Partitioning. Directed Graphs. Enumeration of Graphs. Graph Theoretic Algorithms and Computer Programs. Graphs in Switching and Coding Theory. Electrical Network Analysis by Graph Theory. Graph Theory in Operations Research. Survey of other Applications. APPENDIX A: Binet-Cauchy Theorem. APPENDIX B: Nullity of a Matrix and Sylvester`s Law. Index. Printed Pages: 496. Bookseller Inventory # 11654

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Bibliographic Details

Title: Graph Theory with Applications to ...

Publisher: PHI Learning 0

Binding: Softcover

Book Condition:New

Edition: First edition.

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.

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