 While these algorithms are asymptotically efficient on random data, for practical efficiency on real-world data various modifications are used.First, the overhead of these algorithms becomes significant on smaller data, so often a hybrid algorithm is used, commonly switching to insertion sort once the data is small enough.Second, the algorithms often perform poorly on already sorted data or almost sorted data – these are common in real-world data, and can be sorted in O("n") time by appropriate algorithms.