Basic Graph Theory / Md. Saidur Rahman.
Series: Undergraduate Topics in Computer SciencePublisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: First editionDescription: X, 169 pages : illustrations ; 24 cmISBN:- 9783319494746
- 9783319494753
- 004.0151 23
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Ayesha Abed Library General Stacks | Ayesha Abed Library General Stacks | 004.0151 RAH (Browse shelf(Opens below)) | 1 | Missing | 3010039947 |
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004 SUB Introduction to Computers : | 004.0151 ADV Advances on computer mathematics and its applications / | 004.0151 DOE Applied discrete structures for computer science / | 004.0151 RAH Basic Graph Theory / | 004.015192 MOT Randomized algorithms / | 004.019 ENG Engineering the human-computer interface / | 004.019 HUM Humans on the net :|binformation & communication technology (ICT), work organisation and human beings / |
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.
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