Best books on graph theory and algorithms for knowledge enrichment and advancement
Graph theory is a theory of graph and is a mathematical representation of a network which describes the relationship between lines and points. It's a branch of mathematics and is one of the most important topics in discrete math and programming
You can apply graph theory in
- Structural field
- Functional field
- Effective connectivity matrices
Here you will get the best books of graph theory
Graph theory and mathematical logic
Mathematics is fun. Richard J Trudeau relates mathematics to graph and teaches you what mathematics is, how mathematics works. He will show you that math is a game with few rules and a massive amount of freedom of experimentation.
- Introduction to Euclidean geometry as pure mathematics
- Planar graphs
- Euler's formula
- Platonic graphs
- The genus of a graph
- Euler walks and Hamilton walks.
So why the introduction to graph theory is very much useful: People will find their interest in graph theory as many practical problems can be represented by graphs. This book provides you with a basic understanding of graph theory with mathematics so it can be a magnificent book for mathematics lover. You will find almost everything like all the logic, proof and elements of a graph with exercises.
- Graph theory's history and biography
- Unique examples and lucid proofs
- Optional sections present interesting sidelights of graph theory
- Solutions for exercises, in addition to references, indexes, and a list of symbols
- A great understanding of data mining and graph databases.
- Sets and logic
- Equivalence relations and functions
- Methods of proof.
Learn the core of the pure graph theory
This is a very deep book and can be called the heart of graph theory. It covers almost everything about graphs, including coloring, matching, flows etc. Theories are explained with complete proofs. If people are interested in systems science which often uses graph theory this book is for them.
This is a very reliable book containing
- Matching, covering and packing
- Planar graphs
- Extremal graph theory
- Infinite graphs
- Ramsey theory for graphs
- Hamilton cycles
- Random graphs
- Graph minors.
Graph Theory is for knowledge enrichment and advancement
This book cannot be substituted with any other book on the present textbook market because it provides readers a very valuable and rich learning experience. beautifully written and proofs are given in detail.
Modern Graph Theory should be on the shelf of everyone working in graph theory
This book presents almost everything and connects the branches of pure mathematics to graph theory. There are many topics for anyone who does research in graph theory, combinatorics, and/or complexity theory like electrical networks, flows, connectivity and matching, extremal problems, coloring, Ramsey theory, random graphs, graphs, groups, and matrices, random walks on graphs, the Tutte polynomial with 600+ exercises.
This book also contains many important theorems
- Max-flow/min-cut theorem
- Szemerédis regularity lemma and its use
- Shelah's extension of the Hales-Jewett theorem
- Tutte polynomial and its cousins in knot theory
So we can conclude that graph theory should be part of the education of every serious student of mathematics and computer science.
An excellent book for both advanced undergraduate and beginning graduate students
This book contains everything from basic concepts to advanced level. So this book is for those who are unfamiliar with graph theory and the students in mathematics and computer science as it provides a systematic treatment of the theory of graphs.
This book includes
- Operations and relations
- Graph parameters
- A family of the graph.
If you want in the future to go deeply into your research this book provides you the necessary information.
An amazing book for anyone
This book is suitable as a college level text for mathematics, computer science, or engineering students as well as for a general education course at a liberal arts college, or for self-study.
Graph Theory presents you a
- Series of approximately 360 strategically placed problems with connecting text
- 280 additional problems that are intended to be used as homework assignments
- Answers to selected problems
- Problems of graph theory
- Basic concepts
- Isomorphic graphs
- Bipartite graphs
- Trees and forests
- Spanning tree algorithms
- Euler paths
- Hamilton paths and cycles
- Planar graphs
- Independence and covering
- Connections and obstructions
- Vertex coloring
- Edge coloring
- Matching theory for bipartite graphs
- Applications of matching theory
- Cycle-free digraphs
- Network flow theory
- Flow problems with lower bounds
Big areas in graph theory
This book solves many interesting problems. Whether you are a professional in graph theory or not this book helps you a lot by covering paths and circuits, trees and fundamental circuits, planar and dual graphs, vector spaces of a graph, matrix representation of graphs, coloring, covering, and partitioning, directed graphs, graph theory algorithms and computer programs, graphs in switching and coding theory, electrical network analysis by graph theory, graph theory in operations research, survey of other applications etc.
There are also two appendix
- Binet-Cauchy theorem
- Nullity of a matrix and Sylvester's LawIndex
Very good companion
This book is very dense and is valuable for both research students and undergraduate students of mathematics. It provides text features, complete proofs for almost all of its results. There are also some interesting open problems.
Extremal graph theory encompasses a diverse array of problem-solving methods
- Applications to economics
- Computer science and
- Optimization theory.
- Paths and searching
- Trees and networks
- Cycles and circuits
- Special topics and applications
- Extremal theory
Concise and well-written text
A great book which describes graph theory and the way to apply its principles in methods both formal and abstract. The author covers the theory's broad range of applications, a versatile mathematical technique appropriate to the behavioral sciences, information theory, cybernetics with practical examples.
Sorted from easy to hard
This book is working as an easy to understand reference for the reader as it is sorted from easy to hard. The author begins with the simplest theorems and gradually builds the more complex theorems.