Complexities of Graph Operations

Explore the time complexities of fundamental graph operations including adding and removing vertices and edges in adjacency lists and matrices. Understand how these complexities impact the efficiency of graph algorithms and which representation suits different scenarios for better coding practices.

We'll cover the following...

Time Complexities
- - Adjacency List
  - Adjacency Matrix
Comparison

Time Complexities #

Below, you can find the time complexities for the 4 basic graph functions.

Note, that in this table V means the total number of vertices and E means the total number of edges in the Graph.

Operation	Adjacency List	Adjacency Matrix

...

1.Introduction to Complexity Measures

2.Introduction to Arrays

3.Introduction to Linked Lists

4.Introduction to Stack/Queues

5.Introduction to Graphs

6.Introduction to Trees

7.Trie

8.Introduction to Heap

9.Introduction to Hashing

10.Summary of Data Structures

Mock Interview

Complexities of Graph Operations

Time Complexities #