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Viser: Graph Theory with Applications to Engineering and Computer Science
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Graph Theory with Applications to Engineering and Computer Science Vital Source e-bog
Narsingh Deo
(2017)
Dover Publications
341,00 kr.
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Graph Theory with Applications to Engineering and Computer Science
Narsingh Deo
(2016)
Sprog: Engelsk
Dover Publications, Incorporated
296,00 kr.
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Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Dover Publications (Marts 2017)
- ISBN: 9780486820811
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.
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
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Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Paperback: 496 sider
- Udgiver: Dover Publications, Incorporated (September 2016)
- ISBN: 9780486807935
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.
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.
Preface
1. Introduction
2. Paths and Circuits
3. Trees and fundamental Circuits
4. Cut-Sets and mCut-Vertices
5. Planar and Dual graphs
6. Vector spaces of a Graph
7. Matrix Representation of graphs
8. Coloring, Covering, and partioning
9. Directed Graphs
10. Enumeration mof Graphs
11. Graph Theory Algorithims and Computer Programs
12. Graphs in Switching and Coding Theory
13. Electrical Network Analysis by Graph Theory
14. Graph Theory in Operations Research 15. Survey of Other Applications Appendix A Binet-Cauchy Theorem Appendix B Nullity of a Matrix and Sylvester's Law Index
1. Introduction
2. Paths and Circuits
3. Trees and fundamental Circuits
4. Cut-Sets and mCut-Vertices
5. Planar and Dual graphs
6. Vector spaces of a Graph
7. Matrix Representation of graphs
8. Coloring, Covering, and partioning
9. Directed Graphs
10. Enumeration mof Graphs
11. Graph Theory Algorithims and Computer Programs
12. Graphs in Switching and Coding Theory
13. Electrical Network Analysis by Graph Theory
14. Graph Theory in Operations Research 15. Survey of Other Applications Appendix A Binet-Cauchy Theorem Appendix B Nullity of a Matrix and Sylvester's Law Index
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