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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
The concept of graphs in graph theory stands up on some...
- Graph Theory - Matchings
Graph Theory - Matchings - A matching graph is a subgraph of...
- Graph Theory - Basic Properties
Graph Theory - Basic Properties - Graphs come with various...
- Graph Theory - Introduction
Graph & Graph Models. The previous part brought forth the different tools for reasoning, proofing and problem solving. In this part, we will study the discrete structures that form the basis of formulating many a real-life problem. The two discrete structures that we will cover are graphs and trees.
The concept of graphs in graph theory stands up on some basic terms such as point, line, vertex, edge, degree of vertices, properties of graphs, etc. Here, in this chapter, we will cover these fundamentals of graph theory.
20 Σεπ 2024 · Graph theory is a fundamental area in mathematics and computer science, which studies the properties of graphs and their applications. Two essential concepts in graph theory are graph isomorphisms and connectivity.
5 Αυγ 2024 · A graph is a collection of various vertexes also known as nodes, and these nodes are connected with each other via edges. In this tutorial, we have covered all the topics of Graph Theory like characteristics, eulerian graphs, planar graphs, special graphs, trees, paths in graph theory, etc.
Given a graph G,itsline graph or derivative L[G] is a graph such that (i) each vertex of L[G] represents an edge of G and (ii) two vertices of L[G] are adjacent if and only if their corresponding edges share a common endpoint (‘are incident’) in G (Fig. ??).
Graph Theory 1 Introduction. Graphs are an incredibly useful structure in Computer Science! They arise in all sorts of applications, including scheduling, optimization, communications, and the design and analysis of algorithms. In the next few lectures, we’ll even show how two Stanford stu- dents used graph theory to become multibillionaires.
