The sparse address space is used for: the heap the stack shared memory all of the above Ono answer is correct
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- Discover the stack's performance when given the freedom to be who it is.While all basic operations on stack are O(1), which of the following may have a complexity of O(n)? Allowing push in an empty array Allowing push in a full array Allowing pop from a full array Allowing pop from an empty arrayimport 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)…
- x86 assembly language Write a general-purpose program with loop and indexed addressing that adds 12h to 0th, 3rd , 7th , 11th ,15th ,19th , … elements of a DWORD array. For example, in array: Array1 DWORD 12h, 13h, 14h,15h, 16h, 17h, 18h, 19h, 1ah, 1bh, 1ch, 1dh, 1eh, 1fh becomes: Array1 : 24h, 13h, 14h, 27h,16h,17h,18h, 2bh, 1ah, 1bh, 1ch, 2f, 1eh, 1fh I did the following code buts it wrong. I need to do it without using no Lea, no HLT, and no RPT. How would I do that? .CODE LEA SI,ARRAY1MOV CX,4MOV AX,0ADD [SI],12HADD SI,0CHADD [SI],12H;repetition with indexed addressing modeRPT:ADD SI,10HADD [SI],12HLOOP RPTHLTSuppose the following array were passed in to a mergesort algorithm: 42 39 87 21 56 93 43 35 and Draw what the array looks like after the first recursive call completes, then after the second recursive call (immediately before the final call to merge).Data Structures and Algorithms is a course that teaches students about data structures and algorithms. Explain why you chose the choice. The worst-case scenario for deletion time complexity in an array-based stack is The letter O (log2 n) O. b. (n) o (1) d. None of the preceding
- Towers of Hanoi. There is a story about Buddhist monks who are playing this puzzle with 64 stone disks. The story claims that when the monks finish moving the disks from one post to a second via the third post, time will end. Eschatology (concerns about the end of time) and theology will be left to those better qualified; our interest is limited to the recur- sive solution to the problem. A stack of n disks of decreasing size is placed on one of three posts. The task is to move the disks one at a time from the first post to the second. To do this, any disk can be moved from any post to any other post, subject to the rule that you can never place a larger disk over a smaller disk. The (spare) third post is provided to make the solution possible. Your task is using c++ write a recursive function that describes instructions for a solution to this problem. We don’t have graphics available, so you should output a sequence of instructions that will solve the problem. Hint: If you could…Show a complete run of Quicksort on the following array X :X: 1 2 3 4 5 6 7 8 9 1017 5 -3 40 46 50 16 0 22 4 show all recursive calls using the stack below. Show the results of each call to below Split on a newline in the table to the left.Sudoku is a popular logic puzzle that uses a 9 by 9 array of squares that are organized into 3 by 3 subarrays. The puzzle solver must fill in the squares with the digits 1 to 9 such that no digit is repeated in any row, any column, or any of the nine 3 by 3 subgroups of squares. Initially, some squares are filled in already and cannot be changed. For example, the following might be a starting configuration for a Sudoku puzzle: Create a class SudokuPuzzle.java Download SudokuPuzzle.java that has the attributes • board—a 9 by 9 array of integers that represents the current state of the puzzle, where 0 indicates a blank square • start—a 9 by 9 array of boolean values that indicates which squares in board are given values that cannot be changed and the following methods: • SudokuPuzzle—a constructor that creates an empty puzzle • toString—returns a string representation of the puzzle that can be printed • addInitial(row, col, value)—sets the given square to the given value as an…
- Merge sort is an efficient sorting algorithm with a time complexity of O(n log n). This means that as the number of elements (chocolates or students) increases significantly, the efficiency of merge sort remains relatively stable compared to other sorting algorithms. Merge sort achieves this efficiency by recursively dividing the input array into smaller sub-arrays, sorting them individually, and then merging them back together. The efficiency of merge sort is primarily determined by its time complexity, which is , where n is the number of elements in the array. This time complexity indicates that the time taken by merge sort grows logarithmically with the size of the input array. Therefore, even as the number of chocolates or students increases significantly, merge sort maintains its relatively efficient performance. Regarding the distribution of a given set of x to y using iterative and recursive functions, the complexity analysis depends on the specific implementation of each…Use a stack to reverse the input integer values. Check the stack grows as more elements are pushed. Use with and without function pointer in each of the problem (Please give correct answer with explanation)Implement a Double Array Queue and test it for a very large case (100,000 randomly decided operations of enqueue or dequeue) Your program should compute the number of costly operations and cheap operations Your program should also ask the user about the ratio between enqueue and dequeue operations: The probability of enqueues and dequeues should never be of less than half the other (34% enqueues - 66% dequeues or 66% enqueues - 34% dequeues)