Time Complexity

Data Structure > Data Structure Introduction

Time complexity is a way to measure the efficiency of an algorithm, specifically the amount of time it takes for the algorithm to run and complete its task. It is typically represented using big O notation, which expresses the upper bound on the number of operations an algorithm performs as a function of the size of the input. Time complexity is important in data structure and algorithm design because it helps identify and improve the performance of algorithms, particularly in large datasets.