Which sorting method typically involves the least amount of additional space used?

The selection sort algorithm is known for its in-place sorting capability, which means it sorts the data without needing significant additional storage space. It operates by repeatedly selecting the smallest (or largest) element from the unsorted section of the list and moving it to the end of the sorted section. This process only requires a minimal amount of extra space, typically just a few variables for indexing and swapping.

In contrast, while bubble sort and insertion sort are also in-place algorithms, they can involve more swaps and potentially more overhead in terms of operations compared to selection sort. Quicksort, although designed to be efficient in terms of time complexity, often requires additional space for recursive calls on the stack, particularly in its more straightforward implementations. Thus, when considering the amount of additional space used, selection sort stands out as having the least requirement.