Merge sort is defined as a sorting algorithm that works by dividing an array into smaller subarrays, sorting each subarray, and then merging the sorted subarrays back together to form the final sorted array.
Merge sort is one of the most efficient sorting algorithms. It is based on the divide-and-conquer strategy. Merge sort continuously cuts down a list into multiple sublists until each has only one item, then merges those sublists into a sorted list.
Complexity Analysis of Merge Sort
Time Complexity: O(N log(N)), Merge Sort is a recursive algorithm and time complexity can be expressed as following recurrence relation Applications of Merge Sort
1. Sorting large datasets:Merge sort is particularly well-suited for sorting la…
2 Advantages of Merge Sort
1. Stability: Merge sort is a stable sorting algorithm, which means it maintain…
2 Drawbacks of Merge Sort
1. Space complexity:Merge sort requires additional memory to store the merg…
2 In
Merge Sort, the given unsorted array with n elements, is divided into n subarrays, each having one element, because a single element is always sorted in itself. Then, it repeatedly merges these subarrays, to produce new sorted subarrays, and in the end, one complete sorted array is produced.In
Merge Sort, a list of elements are sorted by first splitting into two halves. Then the independent sublists formed are sorted individually. Eventually, both the sublists are merged into a single list of sorted elements.Merge sort is a
recursive algorithm that continuously splits the array in half until it cannot be further divided i.e., the array has only one element left (an array with one element is always sorted). Then the sorted subarrays are merged into one sorted array.
Algorithm for Merge Sort in Data Structure
- 1. Middle point is found to divide the array into 2 halves: m = (left+right)/2
- 2.MergeSort is called for first half: Call mergeSort (myarr, left, m)