When is each Sorting algorithm used?

Here is a concise overview of when each sorting algorithm is commonly used:

Bubble Sort

• Used for small datasets
• When simplicity is more important than efficiency
• When the input is already mostly sorted[1][2]

Selection Sort

• Used for small datasets
• When memory usage is a concern, as it is an in-place algorithm[1][2]

Insertion Sort

• Used for small datasets
• When the input is already mostly sorted, as it has a linear time complexity in this case[1][2][4]
• When data is being sorted as it comes in, as it can efficiently insert new elements into a sorted list[2]

Merge Sort

• Used for large datasets
• When stability is required, as it is a stable sorting algorithm[1][2][4]
• When the data is stored externally and needs to be divided and merged efficiently[2]
• When sorting linked lists, as it can efficiently split and merge linked lists[2]

Quick Sort

• Used for large datasets
• When space is limited, as it is an in-place algorithm[1][2][4]
• When the input data has many duplicates[4]

Heap Sort

• Used for large datasets
• When an in-place sorting algorithm is required[1][2]

Radix Sort

• Used...