Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Weighted Graph Representation in Data Structure
As we know that the graphs can be classified into different variations. They can be directed or undirected, and they can be weighted or unweighted. Here we will see how to represent weighted graph in memory. Consider the following graph −
Adjacency matrix representation
To store weighted graph using adjacency matrix form, we call the matrix as cost matrix. Here each cell at position M[i, j] is holding the weight from edge i to j. If the edge is not present, then it will be infinity. For same node, it will be 0.
| 0 | ∞ | 6 | 3 | ∞ |
| 3 | 0 | ∞ | ∞ | ∞ |
| ∞ | ∞ | 0 | 2 | ∞ |
| ∞ | 1 | 1 | 0 | ∞ |
| ∞ | 4 | ∞ | 2 | 0 |
Adjacency List representation
In the adjacency list, each element in the list will have two values. The first one is the destination node, and the second one is the weight between these two nodes. The representation is like below.
Updated on: 10-Aug-2020
13K+ Views
Advertisements