Big O notation is used to represent the upper bound of an algorithm’s time complexity by describing its growth rate as a function of input size (n). It is written as O(f(n)), where f(n) describes the ...

Big O Notation is a way to express the worst-case time and space complexity of an algorithm. This guide breaks down the most common types of time complexities. O(1) is known as constant complexity.

Algorithmic Complexity: The study of the computational resources required to solve a given problem, typically measured in time and space. Polynomial Threshold Function (PTF): A Boolean function ...