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Graph Theory Lecture notes by D Yogeshwaran
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
83 Pages
Graph Theory by Christopher Griffin
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.
Author(s): Christopher Griffin
174 Pages
Graph Theory by Prof. Dr. Maria Axenovich
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.
Author(s): Prof. Dr. Maria Axenovich
104 Pages
Graph Theory by Gordon College
This note explains the following topics: Theorems, Representations of Graphs: Data Structures, Traversal: Eulerian and Hamiltonian Graphs, Graph Optimization, Planarity and Colorings.
Author(s): Gordon College
120 Pages
Extremal Graph Theory for Book Embeddings
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.
Author(s): Jessica McClintock
64 Pages
Structural Graph Theory Lecture Notes
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.
Author(s): Andrew Goodall
123 Pages
