Merge Sort is particularly useful for sorting linked lists, as it does not rely on random access to elements in the list. Instead, it uses a -like approach to merging the sub-lists.

Merge Sort is a type of divide and conquer algorithm, meaning that it solves a problem by breaking it down into smaller sub-problems. This approach is also used by other algorithms such as sort.

In the algorithm, the list to be sorted is divided into two halves, each of which is then sorted recursively.

The merge subroutine in Merge Sort is responsible for combining two sorted arrays into a single sorted array. This process is also known as .

Merge Sort has a worst-case time complexity of O(n*log(n)), which is more efficient than many other sorting algorithms such as sort.

The merge sort algorithm is based on the - and - algorithm design technique.