The primary aim of this book is to present a coherent
introduction to graph theory, suitable as a textbook for advanced undergraduate
and beginning graduate students in mathematics and computer science. This note covers the following topics: Graphs and Subgraphs, Trees, Connectivity, Euler Tours and Hamilton Cycles, Matchings, Edge
Colourings, Independent Sets and Cliques, Vertex Colourings, Planar Graphs,
Directed Graphs, Networks, The Cycle Space and Bond Space.
This note explains the
following topics: Theorems, Representations of Graphs: Data Structures,
Traversal: Eulerian and Hamiltonian Graphs, Graph Optimization, Planarity and
Colorings.
This note
describes the following topics: Book-Embeddings and Pagenumber,
Book-Embeddings of Planar Graphs, Extremal Graph Theory, Pagenumber and
Extremal Results, Maximal Book-Embeddings.
The intension of this note is to introduce the
subject of graph theory to computer science students in a thorough way. This
note will cover all elementary concepts such as coloring, covering,
hamiltonicity, planarity, connectivity and so on, it will also introduce the
students to some advanced concepts.
This note covers the
following topics: Immersion and embedding of 2-regular digraphs, Flows in
bidirected graphs, Average degree of graph powers, Classical graph properties
and graph parameters and their definability in SOL, Algebraic and
model-theoretic methods in constraint satisfaction, Coloring random and planted
graphs: thresholds, structure of solutions and algorithmic hardness.
In recent
years, graph theory has established itself as an important mathematical tool in
a wide variety of subjects, ranging from operational research and chemistry to
genetics and linguistics, and from electrical engineering and geography to
sociology and architecture. Topics covered includes: Graphs and Subgraphs,
Connectivity and Euler Tours, Matchings and Edge Colouring, Independent Sets and
Cliques, Combinatorics.
This
book explains the following topics: Inclusion-Exclusion, Generating Functions,
Systems of Distinct Representatives, Graph Theory, Euler Circuits and Walks,
Hamilton Cycles and Paths, Bipartite Graph, Optimal Spanning Trees, Graph
Coloring, Polya–Redfield Counting.
This note covers the following topics:
Basic theory about graphs: Connectivity, Paths, Trees, Networks and flows,
Eulerian and Hamiltonian graphs, Coloring problems and Complexity issues, A
number of applications, Large scale problems in graphs, Similarity of nodes in
large graphs, Telephony problems and graphs, Ranking in large graphs, Clustering
of large graphs.
This note explains the following
topics: Graphs, Multi-Graphs, Simple Graphs, Graph Properties, Algebraic Graph
Theory, Matrix Representations of Graphs, Applications of Algebraic Graph
Theory: Eigenvector Centrality and Page-Rank, Trees, Algorithms and Matroids,
Introduction to Linear Programming, An Introduction to Network Flows and
Combinatorial Optimization, Random Graphs, Coloring and Algebraic Graph Theory.
This note covers the following topics:
Connectivity of Graphs, Eulerian graphs, Hamiltonian graphs, Matchings, Edge
colourings, Ramsey Theory, Vertex colourings, Graphs on Surfaces and Directed
Graphs.
The primary aim of this book is to present a coherent
introduction to graph theory, suitable as a textbook for advanced undergraduate
and beginning graduate students in mathematics and computer science. This note covers the following topics: Graphs and Subgraphs, Trees, Connectivity, Euler Tours and Hamilton Cycles, Matchings, Edge
Colourings, Independent Sets and Cliques, Vertex Colourings, Planar Graphs,
Directed Graphs, Networks, The Cycle Space and Bond Space.
This note covers the following topics: Eigenvalues and the Laplacian
of a graph, Isoperimetric problems, Diameters and eigenvalues, Eigenvalues and
quasi-randomness.
This
note covers the following topics: Basic Concepts in Graph Theory , Random
Graphs, Equivalence relation, Digraphs, Paths, and Subgraphs, Trees , Rates of
Growth and Analysis of Algorithms.
This note covers the following topics: Definitions for graphs,
Exponential generating functions, egfs for labelled graphs, Unlabelled graphs
with n nodes and Probability of connectivity 1.