3 docs tagged with "big-o"

Sorting Algorithms

Table below shows the average time complexities related to different operations for different data structures. Also, it includes corresponding (worst) space complexities.

"O" of "Big O" is from “order,” which is related to the rate of growth—for example, of time or space. Big O complexity is an asymptotic property that describes the theoretical limits of time and space—required to execute a program following a specific approach—as the size of the input arguments tends to infinity. Time complexity is therefore a limiting behavior associated with the total runtime of a program. Likewise, space complexity is associated with the theoretical limit to space/memory required for its successful execution.