This note covers
preface and introduction to graph theory, Some definitions and theorems, More
definitions and theorems, Some algebraic graph theory, Applications of
algebraic graph theory, Trees, Algorithms and matroids, A brief introduction
to linear programming, An introduction to network flows and combinatorial
optimization, A short introduction to random graphs, Coloring, Some more
algebraic graph theory.
This note explains introduction to graphs,
The very basics, Spanning trees, Extremal graph theory, Matchings, covers
and factor, Flows on networks, vertex and edge connectivity, Chromatic
number and polynomials, Graphs and matrices and planar graphs.
Author(s): D Yogeshwaran Indian
Statistical Institute, Bangalore
This note covers
basics, Proofs, Constructions, Algorithms and applications, Bipartite graphs
and trees, Eulerian and Hamiltonian graphs, Coloring, Planar graphs, Digraphs
and connectivity.
This note covers
preface and introduction to graph theory, Some definitions and theorems, More
definitions and theorems, Some algebraic graph theory, Applications of
algebraic graph theory, Trees, Algorithms and matroids, A brief introduction
to linear programming, An introduction to network flows and combinatorial
optimization, A short introduction to random graphs, Coloring, Some more
algebraic graph theory.
This
PDF book covers the following topics related to Graph Theory :Preliminaries,
Matchings, Connectivity, Planar graphs, Colorings, Extremal graph theory, Ramsey
theory, Flows, Random graphs, Hamiltonian cycles.
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.