Time complexity is a computational concept that quantifies the amount of time an algorithm takes to run based on the length of its input. By providing an upper bound on running time, it helps developers and computer scientists evaluate an algorithm’s efficiency and scalability. Understanding time complexity is essential when selecting the most suitable algorithm for a problem, particularly in scenarios involving large datasets, where performance can significantly impact overall system functionality.
