Chromatic Graph Theory Chromatic Graph Theory
Textbooks in Mathematics

Chromatic Graph Theory

    • 59,99 €
    • 59,99 €

Description de l’éditeur

With Chromatic Graph Theory, Second Edition, the authors present various fundamentals of graph theory that lie outside of graph colorings, including basic terminology and results, trees and connectivity, Eulerian and Hamiltonian graphs, matchings and factorizations, and graph embeddings. Readers will see that the authors accomplished the primary goal of this textbook, which is to introduce graph theory with a coloring theme and to look at graph colorings in various ways.

The textbook also covers vertex colorings and bounds for the chromatic number, vertex colorings of graphs embedded on surfaces, and a variety of restricted vertex colorings. The authors also describe edge colorings, monochromatic and rainbow edge colorings, complete vertex colorings, several distinguishing vertex and edge colorings.

Features of the Second Edition: The book can be used for a first course in graph theory as well as a graduate course The primary topic in the book is graph coloring The book begins with an introduction to graph theory so assumes no previous course The authors are the most widely-published team on graph theory Many new examples and exercises enhance the new edition

GENRE
Science et nature
SORTIE
2019
28 novembre
LANGUE
EN
Anglais
LONGUEUR
525
Pages
ÉDITIONS
CRC Press
TAILLE
15,3
Mo
Graphs & Digraphs Graphs & Digraphs
2024
Irregularity in Graphs Irregularity in Graphs
2021
From Domination to Coloring From Domination to Coloring
2019
How to Label a Graph How to Label a Graph
2019
The Fascinating World of Graph Theory The Fascinating World of Graph Theory
2015
The Shape of Space The Shape of Space
2020
An Introduction to Number Theory with Cryptography An Introduction to Number Theory with Cryptography
2018
A Second Course in Complex Analysis A Second Course in Complex Analysis
2026
Real and Functional Analysis Real and Functional Analysis
2026
A Course in Real Analysis A Course in Real Analysis
2026
Mathematics for Artificial Intelligence Mathematics for Artificial Intelligence
2026