How does Big-O notation help in analyzing algorithms?

Answer 1

Big-O notation provides a way to describe the efficiency of an algorithm in terms of time or space complexity. It helps in understanding the worst-case scenario for how an algorithm's performance scales as the size of the input grows. Common complexities include O(1) for constant time, O(n) for linear time, and O(log n) for logarithmic time.