Where n can be subtituted to 2^k and the value of k is logN Now we can further divide the array into two halfs if size of the partition arrays are greater than 1. STEP-2 Now to merge baiscall traverse through all the elements. Int m =right -middle //size of rest of the elementsįor(int i=0 i&input, int left, int right) Int n =middle-left+1 // size of first array Void merge(vector &input, int left, int middle, int right) Merge the two halves sorted in step 2 and 3: Find the middle point to divide the input into two halves:Ĥ. intially left =0 and right = input.size()-1 ġ. PSEUDO CODE OF MERGE SORT MergeSort(vector input, left, right) In simple terms merge sort is an sorting algorithm in which it divides the input into equal parts until only two numbers are there for comparisons and then after comparing and odering each parts it merges them all together back to the input. Let us get started with Time & Space Complexity of Merge Sort. Comparison with other sorting algorithms. ![]() ![]() Average Case Time Complexity of Merge Sort.Worst Case Time Complexity of Merge Sort.Best case Time Complexity of Merge Sort.We will compare the results with other sorting algorithms at the end. In this article, we have explained the different cases like worst case, best case and average case Time Complexity (with Mathematical Analysis) and Space Complexity for Merge Sort.
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