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Graph theory

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Almost two decades have passed since the foundational texts in graph theory shaped introductory courses. These texts established key fields of study and will continue to influence the discipline's development. However, significant advancements have occurred in this time, including new theorems, interrelated methods, and the emergence of new branches. Notable developments include the concept of list colouring, which connects invariants like average degree and chromatic number; the influence of probabilistic methods and the regularity lemma in extremal graph theory and Ramsey theory; and the rise of graph minors and tree decompositions, which apply surface topology to longstanding algorithmic problems. Given these changes, a reassessment of the essential areas, methods, and results for an introductory graph theory course is necessary to prepare students for future developments. This book aims to provide material for such a course, focusing on the theoretical aspects of graph theory as part of pure mathematics. It intentionally departs from the tradition of covering both theory and applications, omitting explicit algorithms and real-world applications to concentrate on the core theoretical foundations.

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Graph theory, Reinhard Diestel

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Released
2010
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Language
English
Publisher
Springer
Released
2010
Format
Paperback
Pages
436
ISBN10
3642142788
ISBN13
9783642142789
Series
First published
2018
Original title
Šlabikár šťastia 4 - Strachy, vzťahy, sloboda
Rating
4 out of 5
Description
Almost two decades have passed since the foundational texts in graph theory shaped introductory courses. These texts established key fields of study and will continue to influence the discipline's development. However, significant advancements have occurred in this time, including new theorems, interrelated methods, and the emergence of new branches. Notable developments include the concept of list colouring, which connects invariants like average degree and chromatic number; the influence of probabilistic methods and the regularity lemma in extremal graph theory and Ramsey theory; and the rise of graph minors and tree decompositions, which apply surface topology to longstanding algorithmic problems. Given these changes, a reassessment of the essential areas, methods, and results for an introductory graph theory course is necessary to prepare students for future developments. This book aims to provide material for such a course, focusing on the theoretical aspects of graph theory as part of pure mathematics. It intentionally departs from the tradition of covering both theory and applications, omitting explicit algorithms and real-world applications to concentrate on the core theoretical foundations.