Graph Theory

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A01=Karin R Saoub
Adjacency Matrix
Augmenting Path
Augmenting Path Algorithm
Author_Karin R Saoub
Bipartite Graphs
Category=PBD
Category=PBV
Chromatic Number
Complete Graph
Crossing Number
Edge Crossings
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Eulerian Circuit
Eulerian circuits
Eulerian Trail
Graph terminology
Graph theory
Hamiltonian Cycle
Hamiltonian cycles
Hamiltonian Path
Hierholzer's algorithm
Induced Subgraph
Interval Graphs
Kruskal's Algorithm
Kuratowski's Theorem
Kuratowski’s Theorem
Maximum Matching
Minimum Vertex Cover
Odd Cycle
Odd Vertices
Planar Graph
Score Sequence
Search Tree
Stable Matching
Vertex Cover

Product details

  • ISBN 9780367743758
  • Weight: 612g
  • Dimensions: 156 x 234mm
  • Publication Date: 17 Mar 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Graph Theory: An Introduction to Proofs, Algorithms, and Applications

Graph theory is the study of interactions, conflicts, and connections. The relationship between collections of discrete objects can inform us about the overall network in which they reside, and graph theory can provide an avenue for analysis.

This text, for the first undergraduate course, will explore major topics in graph theory from both a theoretical and applied viewpoint. Topics will progress from understanding basic terminology, to addressing computational questions, and finally ending with broad theoretical results. Examples and exercises will guide the reader through this progression, with particular care in strengthening proof techniques and written mathematical explanations.

Current applications and exploratory exercises are provided to further the reader’s mathematical reasoning and understanding of the relevance of graph theory to the modern world.

Features

The first chapter introduces graph terminology, mathematical modeling using graphs, and a review of proof techniques featured throughout the book

  • The second chapter investigates three major route problems: eulerian circuits, hamiltonian cycles, and shortest paths.
  • The third chapter focuses entirely on trees – terminology, applications, and theory.
  • Four additional chapters focus around a major graph concept: connectivity, matching, coloring, and planarity. Each chapter brings in a modern application or approach.
  • Hints and Solutions to selected exercises provided at the back of the book.

Author

Karin R. Saoub is an Associate Professor of Mathematics at Roanoke College in Salem, Virginia. She earned her PhD in mathematics from Arizona State University and BA from Wellesley College. Her research focuses on graph coloring and on-line algorithms applied to tolerance graphs. She is also the author of A Tour Through Graph Theory, published by CRC Press.

Dr. Karin R. Saoub is an Associate Professor of Mathematics at Roanoke College in Salem, Virginia. She received her PhD in Mathematics from Arizona State University and a Bachelor of Arts degree from Wellesley College. Her research focuses on graph coloring and on-line algorithms applied to tolerance graphs. She is also the author of A Tour Through Graph Theory, published by CRC Press.

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