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170608 ||| eng |
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|a 9783319494753
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| 100 |
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|a Rahman, Md. Saidur
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|a Basic Graph Theory
|h Elektronische Ressource
|c by Md. Saidur Rahman
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| 250 |
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|a 1st ed. 2017
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2017, 2017
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| 300 |
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|a X, 169 p. 147 illus
|b online resource
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| 505 |
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|a Preface -- Graphs and Their Applications -- Basic Graph Terminologies -- Paths, Cycles and Connectivity’s -- Trees -- Matching and Covering -- Planar Graphs -- Graph Coloring -- Digraphs -- Special Classes of Graphs -- Some Research Topics -- Index
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| 653 |
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|a Engineering mathematics
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| 653 |
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|a Computer science / Mathematics
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| 653 |
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|a Discrete Mathematics in Computer Science
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| 653 |
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|a Graph Theory
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| 653 |
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|a Engineering / Data processing
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| 653 |
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|a Discrete mathematics
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| 653 |
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|a Graph theory
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| 653 |
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|a Mathematical and Computational Engineering Applications
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Undergraduate Topics in Computer Science
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| 028 |
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|a 10.1007/978-3-319-49475-3
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| 856 |
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|u https://doi.org/10.1007/978-3-319-49475-3?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 004.0151
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| 520 |
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|a This undergraduate textbook provides an introduction to graph theory, which has numerous applications in modeling problems in science and technology, and has become a vital component to computer science, computer science and engineering, and mathematics curricula of universities all over the world. The author follows a methodical and easy to understand approach. Beginning with the historical background, motivation and applications of graph theory, the author first explains basic graph theoretic terminologies. From this firm foundation, the author goes on to present paths, cycles, connectivity, trees, matchings, coverings, planar graphs, graph coloring and digraphs as well as some special classes of graphs together with some research topics for advanced study. Filled with exercises and illustrations, Basic Graph Theory is a valuable resource for any undergraduate student to understand and gain confidence in graph theoryand its applications to scientific research, algorithms and problem solving
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