Big O Notation

🔥 O(1) → Big O Notation is used to categorize algorithmic efficiency, and O(1) represents constant time complexity, which is a specific category within Big O.

🔥 O(N) Linear Time → Big O Notation helps identify how algorithms perform, and O(n) linear time is a specific complexity classification that arises from this notation.

🔥 O(Log N) → The specific Big O notation O(log n) is an example of logarithmic complexity, which describes algorithms that reduce the problem size by a constant factor at each step.

🌟 O(N^2) Quadratic Time →

Algorithm →

Binary Tree →

Red Black Tree →

Hash Table →

Splay Tree →

Simple Linked List →

Introduction To Hash Table →

Hashmap →

Graph Traversal →

Space Complexity →

Time Complexity →