What is Big O notation, and why is it important in analyzing algorithms?
Hey Mark
Big O notation is a mathematical representation that characterizes the efficiency of an algorithm in terms of its time or space complexity. By focusing on the worst-case scenario or the upper limit of an algorithm’s growth rate, it provides a high-level understanding of the algorithm’s performance. This notation is invaluable for developers and engineers, as it aids in comparing the scalability of different algorithms and choosing the most efficient one for a given task.