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This tutorial offers a brief introduction to the fundamentals of graph theory. Written in a reader-friendly style, it covers the types of graphs, their properties, trees, graph traversability, and the concepts of coverings, coloring, and matching.
- Graph Theory - Introduction
Graph Theory - Introduction - In the domain of mathematics...
- Graph Theory - Coverings
Graph Theory - Coverings - A covering graph is a subgraph...
- Graph Theory - Quick Guide
Graph Theory - Quick Guide - In the domain of mathematics...
- Graph Theory - Connectivity
Graph Theory - Connectivity - Whether it is possible to...
- Graph Theory - Trees
Graph Theory - Trees - Trees are graphs that do not contain...
- Graph Theory - Fundamentals
Graph Theory - Fundamentals - A graph is a diagram of points...
- Graph Theory - Matchings
A matching (M) of graph (G) is said to be a perfect match,...
- Graph Theory - Basic Properties
Graph Theory - Basic Properties - Graphs come with various...
- Graph Theory - Introduction
This course provides a complete introduction to Graph Theory algorithms in computer science. Topics covered in these videos include: how to store and represent graphs on a computer; common graph theory problems seen in the wild; famous graph traversal algorithms (DFS & BFS); Dijkstra's shortest path algorithm (both the lazy and eager version ...
Understand the basic concepts of graph theory. Apply graph theory algorithms to solve real-world problems. Use graph theory to model and analyze complex systems. Discover the different graph theory tools and technologies. Master the different graph theory best practices.
5 Αυγ 2024 · This Graph theory tutorial will be helpful in learning the concept of the subject along with the applications of graph theory in real life and in various fields. Basics of Graph Theory. Introduction to Graph; Basic Terminology of a Graph; Types of a Graph; Walks, Trails, Paths, and Circuits; Graph Distance Components; Cut-Vertices and Cut-Edges ...
This repository is a central location for all the materials related to the course, including lecture notes, assignments, code samples, and other resources to help you learn the fundamental concepts of graph theory.
The aim of this course is to study graphs in the abstract sense, and to introduce the fundamental concepts, tools, tricks and results about them. Some notation: Given a graph G, we write V (G) for the vertex set, and E(G) for the edge set. For an edge fx; yg 2 E(G), we usually write xy, and we consider yx to be the same edge.
Introduction. These notes include major de nitions, theorems, and proofs for the graph theory course given by Prof. Maria Axenovich at KIT during the winter term 2019/20. Most of the content is based on the book \Graph Theory" by Reinhard Diestel [4]. A free version of the book is available at http://diestel-graph-theory.com.
