What is time complexity?

Time complexity is a measure that evaluates the efficiency of an algorithm by analyzing the amount of time it takes to run based on the input size. It describes how the execution time of an algorithm increases as the input size grows. Time complexity is typically expressed using Big O notation, which provides an upper bound on the growth rate of the algorithm’s running time. It helps in comparing and selecting algorithms based on their efficiency and scalability for solving computational problems.

Time complexity is defined as the amount of time taken by an algorithm to run, as a function of the length of the input. It measures the time taken to execute each statement of code in an algorithm.