Descriptive Complexity, Canonisation, and Definable Graph Structure Theory
Descriptive Complexity, Canonisation, and Definable Graph Structure Theory
Descriptive Complexity, Canonisation, and Definable Graph Structure Theory
This note covers the following topics: Background from Graph Theory and
Logic, Descriptive Complexity, Treelike Decompositions, Definable Decompositions, Graphs of Bounded Tree Width, Ordered Treelike Decompositions,
3-Connected Components, Graphs Embeddable in a Surface, Definable Decompositions
of Graphs with Excluded Minors, Quasi-4-Connected Components, K5-Minor Free
Graphs, Completions of Pre-Decompositions, Planar Graphs, Decompositions of
Almost Embeddable Graphs
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.
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.