Understanding Time Complexity
· 2 min read
Time complexity is a computational concept that helps us measure the efficiency of an algorithm. It describes the amount of time an algorithm takes to run, as a function of the size of its input.
Time complexity is a computational concept that helps us measure the efficiency of an algorithm. It describes the amount of time an algorithm takes to run, as a function of the size of its input.
When analyzing algorithms, Big O Notation is a critical concept that helps us understand the performance and efficiency of an algorithm in terms of time and space complexity.