Which of the following is true about merge sort?a)Merge Sort works bet...
-An example of merge sort. First divide the list into the smallest unit (1 element), then compare each element with the adjacent list to sort and merge the two adjacent lists. Finally all the elements are sorted and merged.
-In computer science, merge sort is an efficient, general-purpose, and comparison-based sorting algorithm. Most implementations produce a stable sort, which means that the order of equal elements is the same in the input and output.
-Merge Sort works better than quick sort if data is accessed from slow sequential memory.
-Merge Sort is stable sort by nature.
-Merge sort outperforms heap sort in most of the practical situations.
View all questions of this testWhich of the following is true about merge sort?a)Merge Sort works bet...
Merge Sort is a popular sorting algorithm used for sorting large data sets. It is a divide and conquer algorithm that divides the input array into two halves, sorts them recursively, and then merges the sorted halves to produce the final sorted output.
Here are the reasons why option 'D' is the correct answer:
Merge Sort works better than Quick Sort if data is accessed from slow sequential memory.
- Merge Sort is a stable sorting algorithm, which means that it maintains the relative order of equal elements in the sorted output. This property is useful in many applications, such as sorting by multiple keys or maintaining a sorted database index.
- Merge Sort has a worst-case time complexity of O(nlogn), which is better than many other sorting algorithms like Bubble Sort, Insertion Sort, and Selection Sort. It also has a good average-case time complexity, making it a suitable choice for most practical situations.
- Merge Sort is a parallelizable algorithm, which means that it can be easily implemented to take advantage of multi-core CPUs or distributed computing environments. This makes it useful for sorting large data sets that cannot fit in main memory.
In summary, Merge Sort is a stable, efficient, and parallelizable sorting algorithm that works well in most practical situations, especially when data is accessed from slow sequential memory.