**Graph theory discrete mathematics with application 7th edition Notes.**

In this post you will get solution of **chp#8** of **discrete mathematics & it's application** 7th edition written by **KENNETH ROSEN**

**Graph theory**, a vital branch of discrete mathematics, unveils the intricate web of relationships between objects. In this article, we explore the world of graphs, including their models, terminology, and special types. Get ready to embark on a captivating journey that unravels the fundamental concepts of this fascinating field.

**Graph Models:**

Graphs comprise vertices (nodes) and edges (arcs), and we encounter various graph models:

Undirected Graphs: Bidirectional connections between vertices form undirected graphs, often found in social networks, transportation networks, and computer networks.

Directed Graphs: One-way relationships between vertices define directed graphs, employed in traffic flow modeling, information flow analysis, and project dependency management

**Graph Terminology**:

To navigate graphs effectively, let's familiarize ourselves with key terms:

Degree: It quantifies the connectivity of a vertex by representing the number of edges incident to it.

Path: It denotes a sequence of vertices connected by edges, enabling us to trace routes within the graph.

Cycle: It represents a closed path, where the starting and ending vertices coincide, and intermediate vertices are distinct. Cycles find applications in circuit design and network routing.

**S****pecial Types of Graphs**:

Graph theory introduces special graph types with unique properties:

- Complete Graphs: Every vertex in a complete graph is connected to every other vertex, making them ideal for modeling social cohesion and fully connected networks.
- Bipartite Graphs: These graphs consist of two disjoint sets of vertices, with edges connecting vertices from one set to the other. Bipartite graphs are useful in matching problems and task assignments.
- Weighted Graphs: Assigning weights or values to edges in these graphs allows for the quantification of connection strength, cost, or distance. They find applications in optimization problems, network analysis, and route planning.

Graph theory discrete mathematics with application 7th edition Notes |

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