What is Big O Notation?

Big O notation is a mathematical notation used to describe the asymptotic behavior of a function as the input size approaches infinity. It is commonly used in computer science to analyze the performance of algorithms in terms of time and space complexity.

The notation is represented by O(f(n)), where f(n) is a function that describes the upper bound of the running time or space required by the algorithm as the input size n grows.

What is Time Complexity?

Time complexity refers to the amount of time an algorithm takes to complete as a function of the size of its input. It is usually expressed in Big O notation, which represents the worst-case scenario of an algorithm's running time.

The time complexity of an algorithm depends on several factors, including the number of input elements, the number of loops, the number of recursive calls, and the operations performed inside the algorithm.