Heapsort has heapified an array to: 76 62 40 32 30 and is about to start the second for loop. What is the array after each loop iteration? i = 4: Ex: 86, 75, 30 i = 3: i = 2: i = 1:
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Q: Index 0 1 2 4 5 7 8 9 10 11 12 13 Value 79 77 57 38 59 22 32 1 26 12 41
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A: Array after each loop iteration
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- create a generic array stack and push/pop a million random ints using java.util.Random class. you also want to detect the time it takes to push and pop elements from the stack and you need to run the test multple times to see how the running time grows with increasing number of operations. use a outer loop that runs the program a million times (e.g. for(int i = 1; i<1000000; i+=1000000)).import java.util.Scanner;import java.util.ArrayList; public class UserIDSorting {// TODO: Write the partitioning algorithm - pick the middle element as the // pivot, compare the values using two index variables l and h (low and high), // initialized to the left and right sides of the current elements being sorted,// and determine if a swap is necessarypublic static int partition(ArrayList<String> userIDs, int i, int k) {} // TODO: Write the quicksort algorithm that recursively sorts the low and // high partitionspublic static void quicksort(ArrayList<String> userIDs, int i, int k) {} public static void main(String[] args) {Scanner scnr = new Scanner(System.in); ArrayList<String> userIDList = new ArrayList<String>(); String userID; userID = scnr.next();while (!userID.equals("-1")) {userIDList.add(userID);userID = scnr.next();}// Initial call to quicksort quicksort(userIDList, 0, userIDList.size() - 1); for (int i = 0; i < userIDList.size(); ++i)…Mergesort is a method that takes an integer array and returns a sorted copy of the same array. It first sorts the left half of the input array, then the right half of the input array, and finally merges the two sorted halves together into a sorted version of the input array. Implement the mergesort method public static int[] mergesort(int[] arr) { return new int[] {-1}; } *must be in this layout and done in java
- write a java program that implements the selection sort algorithum that sorts list of doubles in the range of [0,500). use array objects that use to contain the list// function to generate all subsequences of given arrayfunction generate_subseq(arr): // length of arr n = len(arr) // total subsequences for array of length n m = 2**n // to store all subsequences seqs = [] // running a loop for m times for i in range(1, m): // creating an array of zeros of length n a = [0]*n num = i // to use as an index for 'a' j = n-1 // run this loop till num > 0 while num > 0: if num is odd: a[j] = 1 // divide num by 2 num = num/2 // subtract 1 from 'j' j -= 1 // to store current subsequence seq = [] // iterating for n times for i in range(n): // add ith index value to 'seq' if a[i] == 1: seq.append(arr[i]) // add 'seq' to 'seqs' seqs.append(seq) // return seqs return seqs // given listsS1 = ['B','C','D','A','A','C','D']S2 = ['A','C','D','B','A','C']…array unordered Arr has unsorted integers. SortedArr is an integer array. SortedArr performs which task better than unsortedArr? Use the fastest algorithms. Inserting a new element II Searching for a given element III Calculating the mean of the elements (A) I alone (B) II alone (C) III alone (D) I and II alone (E) I, II, and III
- in java, Demonstrate how the following array is sorted using insertion sort. Show the array after each pass of the outer loop. [16, 3, 12, 13, 8, 1, 18, 9]Write an algorithmic faster version of this code. So the version that copies values from the first sorted half to a temp array then merges the values from the temp arr and the second sorted half into the original arr. public static <T extends Comparable<T>> void MergeSorting(T[] arr) {T[] tep = (T[]) new Comparable[arr.length];MergeSorting(arr, tep, 0, arr.length - 1);}//Recursive helper method for the merge sort algorithm.//arr The array to sort//tep Temporary array for merge operation//start Index of the left end of the region to sort //end Index of the right end of the region to sort. private static <T extends Comparable<T>> void mergeSort(T[] arr, T[] tep, int start,int end) {if (start >= end) {return;}int middle = (left + right) / 2;MergeSorting(arr, tep, start, middle); // first halfMergeSorting(arr, tep, middle + 1, end); //second halfMerge(arr, tep, start, middle, end);}private static <T extends Comparable<T>> void Merge(T[] arr, T[] tep,…write a java program that implements the insertion sort algorithum that sorts list of doubles in the range of [0,500). use array objects that use to contain the list
- (a) Write a method public static void insert(int[] a, int n, int x) that inserts x in order among the first n elements of a, assuming these elements are arranged in ascending order. Do NOT use arraylists. x is the last element in a. n does not include x. (b) Using the insert method from Part (a), write a recursive implementation of Insertion Sort.Implement the __getitem__ method so that it returns an element of the sparse array with the same notation as a numpy array. Note that: - if i or j are outside the size of the array you have to issue an AssertionError. - if the element (i,j) exists in the internal dictionary (self.rows) the stored value must be returned. - if it does not exist, the value 0 must be returned.Complete the code: def SparseMatrix4(m=None, **kwargs): import itertools def add_to_dict(d, key1, key2, val): <... YOUR CODE HERE ...> return d class SparseMatrix4_class: def __init__(self, m=m, **kwargs): <... YOUR CODE HERE ...> def __getitem__(self, pos): i,j = pos assert <... YOUR CODE HERE ...> return <... YOUR CODE HERE ...> return SparseMatrix4_class (**kwargs)To check the code manually: def random_sparse_matrix(size): m = np.random.randint(2, size=size) m = m *…Implement two out of three of the basic sorting algorithms - Bubble Sort, Selection Sort, and Insertion Sort - in a generic List. Initial code to be completed: #include <iostream>#include "linkedlist.h" void bubbleSort(List*);void selectionSort(List*);void insertionSort(List*); /** * This activity is focused on using Arrays and Linked Lists as two different * implementations of List. It follows that you are only to use the methods of * List and not of the specific array or linkedlist. */int main(void) { // WARNING! Do not modify main method! // Doing so will nullify your score for this activity. char li; cin >> li; List* list; if (li == 'A') { list = new ArrayList(); } else { list = new LinkedList(); } int length; cin >> length; int input; for (int i = 0; i < length; i++) { cin >> input; list->add(input); } char sym; cin >> sym; int arg1; switch (sym) {…