Implement MSD string sorting using queues, as follows: Keep one queue for each bin. On a first pass through the items to be sorted, insert each item into the appropriate queue, according to its leading character value. Then, sort the sublists and stitch together all the queues to make a sorted whole. Note that this method does not involve keeping the count[] arrays within the recursive method.

Write code to modify the recursive sort also to do the closest-point computation when pass is 2?

Implement the following two sorting algorithms in a program called p3.py. Write two separate functions for these algorithms. Both functions must take a list of integers as the input parameter.1) Bogosort: first shuffle the list argument (i.e., randomize the positions of every element) and then check to see if the result is in sorted order. If it is, the algorithm terminates successfully and returns True, but if it is not then the process must be repeated.2) Bozosort: choose two elements in the list at random, swap them, and then check if the result is in sorted order. If it is, the algorithm terminates successfully and returns True, but if it is not then the process must be repeated.Write a main() function and call both sorting functions using the same list as their arguments. The list can be of any size (try a small list first). Does any of your algorithms terminate? If yes, count the number of iterations it uses to sort the list. Does it always use the same number of repetitions? If…

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Using Java. Import ArrayList

Sorting  Create a MyLinkedList class with inner Node class, data fields, and the insert(element) method.  Implement a toString method to return all nodes in MyLinkedList.  Implement a recursive sorting and a non-recursive sorting method.

Quick Sort We choose an element from the list, called the pivot. We'll use it to divide the list into two sub-lists. We reorder all the elements around the pivot The ones with smaller value are placed before it All the elements greater than the pivot after it. After this step, the pivot is in its final position. This is the important partition step. We apply the above steps recursively to both sub-lists on the left and right of the pivot.   Quick Sort (Example) Consider the following array Arr[] = {5, 9, 4, 6, 5, 3} Let's suppose we pick 5 as the pivot for simplicity We'll first put all elements less than 5 in the first position of the array: {3, 4, 5, 6, 5, 9} We'll then repeat it for the left sub-array {3,4}, taking 3 as the pivot There are no elements less than 3 We apply quicksort on the sub-array in the right of the pivot, i.e. {4} This sub-array consists of only one sorted element We continue with the right part of the original array, {6, 5, 9} until we get the final ordered…

Python’s list method sort includes the keyword argument reverse, whose defaultvalue is False. The programmer can override this value to sort a list in descendingorder. Modify the selectionSort function so that it allowsthe programmer to supply this additional argument to redirect the sort. selectionSort function: def selectionSort(lyst, profiler):i = 0 while i < len(lyst) - 1:minIndex = ij = i + 1 while j < len(lyst):profiler.comparison() # Countif lyst[j] < lyst[minIndex]:minIndex = jj += 1 if minIndex != i:swap(lyst, minIndex, i, profiler)i += 1 def swap(lyst, i, j, profiler):"""Exchanges the elements at positions i and j."""profiler.exchange() # Counttemp = lyst[i]lyst[i] = lyst[j]lyst[j] = temp Use this template in Python to modify the function above: def selection_sort(input_list, reverse):sorted_list = []#TODO: Your work here# Return sorted_listreturn sorted_listif __name__ == "__main__":my_list = [1, 2, 3, 4, 5]print(selection_sort(my_list, True)) # Correct Output: [5,…

can I have the solution for this question in Java coding please? Write an algorithm for the following to swap two adjacent elements by adjusting only the links (and not the data) using: Singly-linked lists. Doubly linked lists.