Time complexity:

Time complexity , a description of how much computer time is required to run an algorithm. In computer science, time complexity is one of two commonly discussed kinds of computational complexity , the other being space complexity (the amount of memory used to run an algorithm). Understanding the time Time Complexity is a concept in computer science that deals with the quantification of the amount of time taken by a set of code or algorithm to process or run as a function of the amount of input. In other words, the time complexity is how long a program takes to process a given input. The efficiency of an algorithm depends on two parameters: Time Complexity Space Complexity Time Complexity : It is defined as the number of times a particular instruction set is executed rather than the total ... Time Complexity is the amount of time that any algorithm takes to function . It is basically the function of the length of the input to the algorithm. Time Complexity measures the total time it takes for each statement of code in an algorithm to be executed. 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. It is not going to examine the total execution time of an algorithm.