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When would you use a merge sort?
Merge Sort is useful for sorting linked lists. Merge Sort is a stable sort which means that the same element in an array maintain their original positions with respect to each other. Overall time complexity of Merge sort is O(nLogn). It is more efficient as it is in worst case also the runtime is O(nlogn)
Which of the following is correct code for merge sort?
Explanation: T(n) = 2T(n/2) + n is the recurrence relation for merge sort. Using the master theorem, it is found to be O(n log n).
What is the point of merge sort?
Merge sort is one of the most efficient sorting algorithms. It works on the principle of Divide and Conquer. Merge sort repeatedly breaks down a list into several sublists until each sublist consists of a single element and merging those sublists in a manner that results into a sorted list.
What are the drawbacks of merge sort?
Drawbacks of Merge Sort Slower comparative to the other sort algorithms for smaller tasks. Merge sort algorithm requires an additional memory space of 0 (n) for the temporary array. It goes through the whole process even if the array is sorted.
Which is the best algorithm for merge sorting?
In this tutorial, you will learn about merge sort algorithm and its implementation in C, C++, Java and Python. Merge Sort is one of the most popular sorting algorithms that is based on the principle of Divide and Conquer Algorithm. Here, a problem is divided into multiple sub-problems.
How is the merge function used to sort an array?
To sort an entire array, we need to call MergeSort (A, 0, length (A)-1). As shown in the image below, the merge sort algorithm recursively divides the array into halves until we reach the base case of array with 1 element. After that, the merge function picks up the sorted sub-arrays and merges them to gradually sort the entire array.
How to merge two halves in merge sort?
Call mergeSort for second half: Call mergeSort (arr, m+1, r) 4. Merge the two halves sorted in step 2 and 3: Call merge (arr, l, m, r) The following diagram from wikipedia shows the complete merge sort process for an example array {38, 27, 43, 3, 9, 82, 10}.