Basic Graph Theory /

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....

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书目详细资料
主要作者: Rahman, Md. Saidur (Author)
格式: 图书
语言:English
出版: Cham : Springer International Publishing : Imprint: Springer, 2017.
版:First edition
丛编:Undergraduate Topics in Computer Science,
主题:
相关项目:Print version: Basic graph theory.
Classic Catalogue: View this record in Classic Catalogue
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100 1 |a Rahman, Md. Saidur.  |e author.  |9 52184 
245 1 0 |a Basic Graph Theory /  |c Md. Saidur Rahman. 
250 |a First edition 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a X, 169 pages :  |b illustrations ;  |c 24 cm. 
490 1 |a Undergraduate Topics in Computer Science,  |x 1863-7310 
505 0 |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. 
520 |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 theory and its applications to scientific research, algorithms and problem solving. 
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650 0 |a Graph theory.  |9 52188 
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