Big O Complexity Ranking for Algorithms!

A breakdown of Big O complexity for various algorithms, ranging from the least efficient O(n!) for permutations via backtracking to the most efficient O(1) for constant time operations. It explains different complexities used in algorithm analysis and their respective examples such as exponential, quadratic, and logarithmic time complexities.