Basic graph theory
By: Rahman, Md. Saidur
Material type:
BookSeries: Undergraduate topics in computer science.Publisher: Cham, Switzerland : Springer, c2017.Description: x, 169 p. : ill. ; 24 cm.ISBN: 9783319494746Subject(s): Graph theoryDDC classification: 511.5 RA BA Online resources: Location Map | Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
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| REGULAR | University of Wollongong in Dubai Main Collection | 511.5 RA BA (Browse shelf) | Available | T0056607 |
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| 511.5 AK HY Hybrid soft computing models applied to graph theory | 511.5 HA ND Handbook of graph drawing and visualization / | 511.5 HA ND Handbook of graph drawing and visualization / | 511.5 RA BA Basic graph theory | 511.52 HA HA Handbook of product graphs / | 511.6 MA DI Discrete mathematical structures : | 511.6 MA DI Discrete mathematical structures : |
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.
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 theory and its applications to scientific research, algorithms and problem solving.