### Quick Sort Algorithm: Next Step AnalysisAssume the following list is being sorted using the Quick Sort algorithm. Describe the next step in the Quick Sort algorithm in terms of its effect on the pivot, left, and right indices, and the content of the list.**List (with indices):**| [0] | [1] | [2] | [3] | [4] | [5] | [6] | [7] | [8] | [9] | [10] ||---|---|---|---|---|---|---|---|---|---|---|| 34 | 25 | 39 | 94 | 17 | 78 | 41 | 45 | 91 | 56 | 77 | 86 |- **Pivot:** The element `45` at index [6].- **Left Index:** Starts at `94` at index [3].- **Right Index:** Starts at `41` at index [6].**Diagram Explanation:**- The list is a sequence of numbers with specific indices.- The pivot value `45` is highlighted in green to show its role as the pivot.- The pointers for `left` and `right` are positioned to show their current index and value selections.**Next Steps in Quick Sort:**1. **Comparison:** - The algorithm compares elements to the pivot `45`. - If the left value `94` is greater than the pivot, it is kept in place. - The right value `41` is less than the pivot, indicating these need to be swapped.2. **Swap Values:** - Swap `94` (left) with `41` (right). - Updated list: | [0] | [1] | [2] | [3] | [4] | [5] | [6] | [7] | [8] | [9] | [10] | |---|---|---|---|---|---|---|---|---|---|---| | 34 | 25 | 39 | 41 | 17 | 78 | 94 | 45 | 91 | 56 | 77 | 86 |3. **Move Pointers:** - Increment `left` index to `78`.

The Answer is in given below steps

Answered: Assume the following list is being…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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The script has four steps: Read a list of integers (no duplicates). Output the numbers in the list. Perform an insertion sort on the list. Output the number of comparisons and swaps performed during the insertion sort. Steps 1 and 2 are provided in the script. Implement step 3 based on the insertion sort algorithm in the book. Modify insertion_sort() to: Count the number of comparisons performed. Count the number of swaps performed. Output the list during each iteration of the outside loop. Implement step 4 at the end of the script. Hints: In order to count comparisons and swaps, modify the while loop in insertion_sort(). Use global variables for comparisons and swaps. The script includes three helper functions: read_nums() # Read and return a list of integers. print_nums(nums) # Output the numbers in nums swap(nums, n, m) # Exchange nums[n] and nums[m] Ex: When the input is: 3 2 1 5 9 8 the output is: 3 2 1 5 9 8 2 3 1 5 9 8 1 2 3 5 9 8 1 2 3 5 9 8 1 2 3 5 9 8 1 2 3 5 8 9…
Because that one number must be in the proper place, the selection sort method may be changed to terminate when the unsorted portion of the list includes only one number. Demonstrate that this change has no impact on the number of comparisons necessary to sort an n-element list.
3. Given the following list: 9 4 2 6 7 5 3 8 Identify the state of the list while being sorted using the selection sort algorithm.
In python don't import libraries
The algorithm: –In an array of n elements, go to index [n/2] –If the record there is the one you want, you are done –If the record value there is smaller than your search value, all records less than the current record can be ignored – set your search range of elements to [n/2+1…n] and return to step 1 –Otherwise, set your range of elements to [0…(n/2)-1] and return to step 1 –Repeat this loop until you have 0 elements (record is not found) or record is found Short answer Another approach to the update algorithm is to perform use the delete function for the old value and if it is successful, call the insert function using the new value. Explain in your own words if you think this approach is significantly better, worse, or in the same category as the algorithm discussed in the slides, and why.
For the list shown below, demonstrate the following sort: 10, 1, 5, 2, 6, 8, 4, 10, 6, 6, 2, 4, 1, 8, 7, 3 External sort. Use a run size of 4. Note: continue until the final list is sorted!
If the list has the following items 17 9 11 30 8 20 35 7 5 45 3 28 Apply the quick sort on the above list by using the pivot is always the left item and find the following The list after a first partition call 2-The split point in the second partition call
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Q6: which of the following data structure is Linear a) Single Linked List b) Double linked list c) Array d) All of them Q7: The efficiency of an algorithm is measured by a) Number of steps in an algorithm b) Time and space consumed by the algorithm c) Number of loops in the algorithm d) The kind of data structures used in the algorithm Q8: In the context of algorithms time complexity, select the best time: a) O(n) b) O(n(log(n))) c) O(log(n)) d) O(n°) Q9: Consider the code fragment: integer n = 128; while (n2 1) {do something; n=n/2; } a) The code runs in O(n) time b) The code runs in O(n?) time c) The code runs in O(log(n)) time d) The code runs in O(n(log(n))) time Q10: for an array of size 10 which sorting algorithm would you choose? a) Quick sort b) Merge sort c) Insertion sort d) None of the above
If the list has the following items 17 9 11 30 8 20 35 7 5 45 3 28 Apply the quick sort on the above list by using the pivot is always the left item and find 1.The split point in the second partition call.
use python
Instructions: Start at the bottom left. Merge two single element arrays to sort a sorted two-element array. Continue merging until you reach an array whose child arrays have not BOTH been sorted. Return to single element arrays and repeat the merging process as necessary until all elements have been merged into a single, sorted array. To merge an element into another array, click the element to select it, then click the position where it should be in the sorted, merged array. Remember, the order in which blocks are merged matters so be sure to select the smallest blocks first, starting at the left. 0 17 0 0 1 2 1 6 01 2 3 0 23 0 01 2 4 11 0 Q 0 1 3 4 5 85 0 6 9 0 7 8 9 0 1 UTD 0 1 2 8 CO C 0 1 46 0 2 3 4 50 0 0 1 94 0

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