Sorting algorithms which are fast at sorting almost-sorted lists, such as insertion sort, are particularly good for this purpose.
32.
The subroutine selects the median of a group of at most five elements; an easy way to implement this is insertion sort.
33.
A useful optimization in practice for the recursive algorithms is to switch to insertion sort or selection sort for " small enough " sublists.
34.
One weakness of insertion sort is that it may require a high number of swap operations and be costly if memory write is expensive.
35.
When sorting a hand of cards for bridge or similar games, many people use an insertion sort; I prefer a selection sort.
36.
Most people I've met seem to find Insertion Sort and sometimes Selection Sort to be the most intuitive to do by hand.
37.
The size of list for which insertion sort has the advantage varies by environment and implementation, but is typically between eight and twenty elements.
38.
However, insertion sort or selection sort are both typically faster for small arrays ( i . e . fewer than 10 20 elements ).
39.
A useful optimization in practice for these algorithms is to use insertion sort for sorting small sublists, where insertion sort outperforms these more complex algorithms.
40.
A useful optimization in practice for these algorithms is to use insertion sort for sorting small sublists, where insertion sort outperforms these more complex algorithms.
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