Write the algorithm which sorts the array by using the merge sort algorithm. Then find the complexity of the algorithm as Big 0 notation
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- Write the algorithm which sorts the array by using the selection sort algorithm. Then find the complexity of the algorithm as Big O notationWrite down the Selection Sort Algorithm using MAX function.Write the algorithm which sorts the array by using the bubble sort algorithm. Then find the complexity of the algorithm as Big O notation
- 1a. Find the complexity of the algorithm as Big O notation: countValue(a, n, val) { count = 0 for i=1 to n { if (a[i] == val) count count + 1 } return count 1b. Write the algorithm which sorts the array by using the merge sort algorithm. Then find the complexity of the algorithm as Big O notation. 1c. Write the algorithm which sorts the array by using the quick sort algorithm. Then find the complexity of the algorithm as Big O notation.Given the following array of elements. Use merge sort in arranging the array in ascending order. Show the step-by-step procedure following the given example above. 2 46 4 19 50 44 38 15 36 26 27 48 7,Q:During each iteration of Quick Sort algorithm, the first element of array is selected as a pivot. The algorithm for Quick Sort is given below. Modify it in such a way that last element of array should be selected as a pivot at each iteration. Also explain the advantages.
- Write down the Selection Sort Algorithm using MAX function. Apply selection sortalgorithm on the following data and explain all the steps. 99 88 80 73 65 32 50 12 34 20Assume you have an array of integers with 10,000 elements and you want to sort it using merge sort algorithm. On average, how many comparisons will be performed by the algorithm during the sorting process?using selection sort algorithm, the intermediate sorting results of sorting the array (1,3,24,19,5,2} in Descending order are: starting: {12,4,25,20,6,3,100} Result of the first iteration: Result of the second iteration: Result of the third iteration: Result of the fourth iteration: { Result of the fifth iteration:
- True or False For each statement below, indicate whether you think it is True or False. For the insert algorithm, if you use binary search to find the location to insert the new element, it will improve the overall performance of the algorithm to O(log n) For the update algorithm in a sorted array, all you have to do is use linear or binary search to find the element you want to change, and if you find it, you only need to change it to the new value Binary search can be used on an unsorted arrayQuestion 8 Sort the following numbers using an "in place" version of a selection sort. This means that you should have only one array throughout and all elements should be present at all times. Show each "pass" of the algorithm. 34, 25, 11, 44, 21, 8, 4, 28, 16, 31True or False For each statement below, indicate whether you think it is True or False. Inserting elements into a sorted array is O(n) because you have to find the location to add the new element and then shift the remaining elements If the sorted array gets too large, the performance of binary search becomes O(n) For the delete algorithm, after you find the element to delete, you can make the algorithm run faster by replacing it with the last element in the array If you used binary search to find the element to delete, the performance is still O(n) because you may have to shift all elements