Combining sorted and random CPT

1. Is Merge sort comparison based?
2. How do you code merge sort?
3. What is merge sort in DAA?
4. Is merge sort the best sorting algorithm?
5. Is merge sort better than quick?
6. Is merge sort faster than insertion sort?
7. Which best describes a merge sort algorithm?
8. Which is the best sorting algorithm?
9. How do you implement an insertion sort algorithm?
10. What is merge sort used for?
11. How do I merge two sorted arrays?

Is Merge sort comparison based?

In computer science, merge sort (also commonly spelled as mergesort) 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.

How do you code merge sort?

Here's how merge sort uses divide-and-conquer:

1. Divide by finding the number q of the position midway between p and r. ...
2. Conquer by recursively sorting the subarrays in each of the two subproblems created by the divide step. ...
3. Combine by merging the two sorted subarrays back into the single sorted subarray array[p..

What is merge sort in DAA?

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.

Is merge sort the best sorting algorithm?

Because merge sort requires more space O(n) it is not desirable to use merge sort on large unsorted arrays in these cases quick sort O(nlog(n)) is a better alternative. Merge Sort is best for sorting Linked List and quicksort for large unsorted arrays provided there are less unbalanced subarrays.

Is merge sort better than quick?

Merge sort is more efficient and works faster than quick sort in case of larger array size or datasets. Quick sort is more efficient and works faster than merge sort in case of smaller array size or datasets. Sorting method : The quick sort is internal sorting method where the data is sorted in main memory.

Is merge sort faster than insertion sort?

Insertion Sort is preferred for fewer elements. It becomes fast when data is already sorted or nearly sorted because it skips the sorted values. Efficiency: Considering average time complexity of both algorithm we can say that Merge Sort is efficient in terms of time and Insertion Sort is efficient in terms of space.

Which best describes a merge sort algorithm?

Merge sort is a sorting technique based on divide and conquer technique. With worst-case time complexity being Ο(n log n), it is one of the most respected algorithms. Merge sort first divides the array into equal halves and then combines them in a sorted manner.

Which is the best sorting algorithm?

The time complexity of Quicksort is O(n log n) in the best case, O(n log n) in the average case, and O(n^2) in the worst case. But because it has the best performance in the average case for most inputs, Quicksort is generally considered the “fastest” sorting algorithm.

How do you implement an insertion sort algorithm?

Algorithm for Insertion Sort

1. Step 1 − If the element is the first one, it is already sorted.
2. Step 2 – Move to next element.
3. Step 3 − Compare the current element with all elements in the sorted array.
4. Step 4 – If the element in the sorted array is smaller than the current element, iterate to the next element.

What is merge sort used for?

Merge Sort is a sorting algorithm, which is commonly used in computer science. Merge Sort is a divide and conquer algorithm. It works by recursively breaking down a problem into two or more sub-problems of the same or related type, until these become simple enough to be solved directly.

How do I merge two sorted arrays?

Traverse arr2[] and one by one insert elements (like insertion sort) of arr3[] to arr1[].
...
The idea is to use Merge function of Merge sort.

1. Create an array arr3[] of size n1 + n2.
2. Simultaneously traverse arr1[] and arr2[]. ...
3. If there are remaining elements in arr1[] or arr2[], copy them also in arr3[].