Introduction to Chemical Graph Theory

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A01=Hua Wang
A01=Stephan Wagner
Adjacency Matrix
advanced graph invariants
Author_Hua Wang
Author_Stephan Wagner
Category=PBV
Category=PBW
Category=PNR
Characteristic Polynomial
Chemical Graph Theory
Chemistry
Closed Walks
combinatorial mathematics
Cyclomatic Number
Degree Sequence
discrete mathematics research
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
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Extremal Tree
Graph energy
Graph Theory
Hosoya Index
Incidence Matrix
Independent Set
Indices
Internal Vertices
Laplacian Eigenvalues
Laplacian Matrix
mathematical chemistry applications
Molecular
molecular structure modeling
Optimal Graph
Partite Set
Pendant Edges
Pendant Vertices
Segment Sequence
spectral analysis graphs
topological indices for molecular graphs
Unicyclic Graph
V1v2v3
Vertex Degrees
Wiener Index
X2 Ln
Zagreb Index

Product details

  • ISBN 9781032476032
  • Weight: 376g
  • Dimensions: 156 x 234mm
  • Publication Date: 21 Jan 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Introduction to Chemical Graph Theory is a concise introduction to the main topics and techniques in chemical graph theory, specifically the theory of topological indices. These include distance-based, degree-based, and counting-based indices. The book covers some of the most commonly used mathematical approaches in the subject. It is also written with the knowledge that chemical graph theory has many connections to different branches of graph theory (such as extremal graph theory, spectral graph theory).

The authors wrote the book in an appealing way that attracts people to chemical graph theory. In doing so, the book is an excellent playground and general reference text on the subject, especially for young mathematicians with a special interest in graph theory.

Key Features:





    • A concise introduction to topological indices of graph theory




    • Appealing to specialists and non-specialists alike




    • Provides many techniques from current research


About the Authors:

Stephan Wagner grew up in Graz (Austria), where he also received his PhD from Graz University of Technology in 2006. Shortly afterwards, he moved to South Africa, where he started his career at Stellenbosch University as a lecturer in January 2007. His research interests lie mostly in combinatorics and related areas, including connections to other scientific fields such as physics, chemistry and computer science.

Hua Wang received his PhD from University of South Carolina in 2005. He held a Visiting Research Assistant Professor position at University of Florida before joining Georgia Southern University in 2008. His research interests include combinatorics and graph theory, elementary number theory, and related problems

Stephan Wagner grew up in Graz (Austria), where he also received his PhD from Graz University of Technology in 2006. Shortly afterwards, he moved to South Africa, where he started his career at Stellenbosch University as a lecturer in January 2007. His research interests lie mostly in combinatorics and related areas, including connections to other scientific fields such as physics, chemistry and computer science.

Hua Wang received his PhD from University of South Carolina in 2005. He held a Visiting Research Assistant Professor position at University of Florida before joining Georgia Southern University in 2008. His research interests include combinatorics and graph theory, elementary number theory, and related problems in other fields. Most of his work, however, focuses on extremal problems related to topological indices.

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