Time complexity is 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. Upskilling with the help of an introduction to algorithms free course will help you understand time complexity clearly.Jan 5, 2022
What is time complexity explain with an example?
When using divide and conquer algorithms, such as binary search, the time complexity is O(log n). Another example is quicksort, in which we partition the array into two sections and find a pivot element in O(n) time each time. As a result, it is O(log2 n)
How do you know if an algorithm is good?
Time Complexity and Space Complexity are two factors which determine which algorithm is better than the other. Time Complexity in a simple way means the amount of time an algorithm takes to run. Space complexity means the amount of space required by the algorithm.