What is the time complexity of counting sort?
The time complexity of counting sort algorithm is O(n+k) where n is the number of elements in the array and k is the range of the elements. Counting sort is most efficient if the range of input values is not greater than the number of values to be sorted.
What is the time complexity for the merge sort?
The time complexity of MergeSort is O(n*Log n) in all the 3 cases (worst, average and best) as the mergesort always divides the array into two halves and takes linear time to merge two halves.
What is the time and space complexity of counting sort?
n+r
Counting sort/Space complexity
Which is better counting sort or merge sort?
1 Answer. Counting sort has better time complexity but worse space complexity. It should be noted that while counting sort is computationally superior it only applies to sorting small integer values. So while it is superior it is not always a valid replacement for Quicksort.
What is complexity of DFS Mcq?
This set of Data Structure Multiple Choice Questions & Answers (MCQs) focuses on “Depth First Search”. 1. Explanation: The Depth First Search explores every node once and every edge once (in worst case), so it’s time complexity is O(V + E).
What is the difference between merge sort and quick sort?
Key Differences Between Quick Sort and Merge Sort In the merge sort, the array must be parted into just two halves (i.e. n/2). As against, in quick sort, there is no compulsion of dividing the list into equal elements. The worst case complexity of quick sort is O(n2) as it takes a lot more comparisons in the worst condition.
When to use merge sort?
When to use Merge Sort Merge sort is used when the data structure doesn’t support random access, since it works with pure sequential access (forward iterators, rather than random access iterators). It’s also widely used for external sorting, where random access can be very, very expensive compared to sequential access.
What is the algorithm for merge sort?
Merge Sort is a kind of Divide and Conquer algorithm in computer programrming. It is one of the most popular sorting algorithms and a great way to develop confidence in building recursive algorithms.
What is time complexity of selection sort?
In computer science, selection sort is a sorting algorithm, specifically an in-place comparison sort. It has O(n2) time complexity, making it inefficient on large lists, and generally performs worse than the similar insertion sort.