Given the following array of integer values, perform the first step of quicksort to sort the array in ascending order, thus from the initial array generate the right and the left partitions. 1 10 6 4 8 5 2 7 11 9 Report 3 integer values: The pivot selected on the original array, the pivot you would select on the left partition generated from the original array, and the pivot you would select on the right partition generated (again) from the original array. No other symbols must be included in the response. This is an example of response format: 13 1 10
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Quick Sort Pivot
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- If you are given an array {4, 1, 7, 3, 2, 8, 5, 6} and given that the last value 6 is the pivot, what would be the resulting array after running one iteration of partition on the array?Implement an interleave function which combines two integer arrays into a new dynamic array. The term interleave means to alternatively insert the values of two arrays into a single array. For example, given these two arrays as input: Array A: 95 92 27 98 76 Array B: 40 96 This function will return the following dynamic array: 95 40 92 96 27 98 76 The algorithm should work with arrays of same or different size. All array indexing must be done using pointer arithmetic. int* interleave (int *a, int *b int s1, int s2) {Develop an implementation of insertion sortthat moves larger elements to the right one position with one array access per entry,rather than using exch(). Use SortCompare to evaluate the effectiveness of doing so.Develop an implementation of insertion sortthat moves larger elements to the right one position with one array access per entry,rather than using exch(). Use SortCompare to evaluate the effectiveness of doing so.
- Two arrays are provided to you: one longer and one shorter (with all distinguishable items). Search the longer array for the smallest subarray that includes every member in the shorter array. Any arrangement of the components is possible.EXAMPLEInput: {1, 5, 9}{7, 5, 9, 0, 2, 1, 3, 5. 7, 9. 1, 1, 5, 8, 8, 9, 7}Result: [7, 10] (the underlined portion above)Write a java labguage program to use parallel arrays to save User ID and Password. Ask the user to enter the user ID and Passwords for 3 users Save the above information in two parallel arrays (using the same index for each user) After the input is completed, ask the user to enter any user ID and then ask the password for that ID. Confirm if the User ID and password match, if not ask the passwordYou are asked to find the maximum of the given set of sequential unsorted array integer elements. Which dimension array that is 1D or 2D or 3D you can choose to perform the implementation. Explain the basics behind the selected dimension.
- The following code is an implementation of the QuickSort algorithm. The QuickSort algorithm is a divide and conquer algorithm that orders numbers from least to greatest. The code selects the last element in the array as a “pivot”, placing numbers less than the pivot to the left and numbers greater than the pivot to the right. Once the array is partitioned, the code orders halves of the array until all numbers are in order. Debug the code for the QuickSort algorithm to run.Quicksort SPLIT (the 2-pointer algorithm covered in class) is applied to the integer array [4,3,5,7,9,2,1], using the first entry as the pivot. Show the series of item swaps that are performed in the split process, and the array after each of these swaps, up to and including the step of placing the pivot at its correct location. You only need to show the split of the original array, you are not required to continue working on the subarrays after the split.Every time it has to identify two arrays to combine, perform the following to create a bottom-up mergesort that benefits from array order: Locate the first entry in a sorted subarray, then the second, and finally merge them (by increasing a pointer until it finds an element in the array that is smaller than its predecessor). Consider the array size and the number of maximal ascending sequences in the array when calculating the algorithm's execution time.
- Have a look at the array below. We are trying to do quicksort on this array to sort it in ascending order. We wrote an algorithm that always takes the middle element as pivot. How the array will look like after first iteration(write in this format: 11,12,13,14,15)Array: 525 76 980 290 38 77 746 266 375 . Show the simulation in handwritten paper. Which sorting algorithm (Insertion, Merge, Quick) perform same in all (best, average and worst case) ?In an array-based implementation of a List, why does the add operation take O(n) time in the average case? Select one: a. The time it takes to shift entries over to make room in the array depends on the number of entries in the List b. The time to copy the current entries into a newly allocated, larger array depends on the number of entries in the List c. The time to access the position in the array to add the new entry depends on the number of entries in the List d. The time to access the position in the array to add the new entry depends on the capacity of the arrayHow many times does a binary search need to execute to find its value? Recall from our lesson that the number of iterations is roughly a log base 2 relationship. In this exercise, you are going to calculate the maximum iterations and the actual iterations needed to find a random value in arrays of size 100, 1000, 10k, and 100k. You are given helper methods to calculate the maximum iterations, generate the random array, and do the binary search. You are also given a counter variable that increments up each time your recursive binary method is called. You will need to come up with the remainder of the code. Same output is provided below. Sample Output Array Size: 100 Max iterations: 7 Actual iterations: 5 Array Size: 1000 Max iterations: 10 Actual iterations: 5 import java.util.*; public class BinarySearchTest { static int count; public static void main(String[] args) {// Use the helper code to generate arrays, calculate the max// iterations, and then find the actual iterations for a…