Module 5: Merge Sort Merge Sort works by continuously partitioning a list into two smaller sub-lists so it is working with smaller sub-lists during each recursive call. When does the Merge Sort method stop partitioning a list into sub-lists and begin returning? After four divides When each sublist has one element When each sublist is already sorted O When each sublist has two elements

Module 5: Merge Sort Merge Sort works by continuously partitioning a list into two smaller sub-lists so it is working with smaller sub-lists during each recursive call. When does the Merge Sort method stop partitioning a list into sub-lists and begin returning? After four divides When each sublist has one element When each sublist is already sorted O When each sublist has two elements

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

See similar textbooks

Related questions

Q: Mergesort is a recur O True Coloc

A: Here in this we have to state that weather this statement is false or true.. Merge sort uses…

Q: Merge and quick sort Implementation – Directed Lab Work 1. Complete the recursive algorithm for…

A: Algorithm:- 1) Merge sort Algorithm:- 1. MERGE_SORT(arr, beg, end) 2. if beg < end 3. set mid…

Q: the search element (key) id the first element in the array of size 10, the recursive method for…

A: This is a scenario of worst case where the total number of times function binary search gets called…

Q: Java: Write a program to find the number of comparison using sequentialSearch and binarySearch…

A: The Complete code is give below.

Q: For a recursive binary search, put the following code in the correct order by dragging each line to…

A: - We need to rearrange the code lines to make the recursive binary search work.

Q: Question b T [40 10 20 80 60 5 50 55] Given an array T, draw diagram that shows how partition…

A: Actually, array is a collection of elements. Given array is a T [40 10 20 80 60 5 50…

Q: T/F: Both Merge Sort and Quick Sort have a worst case runtime of O(n log n).

A: Answer is given below .

Q: orting Consider the following array of int values. [17, 11, 6, 22, -3, 8, 4, 22, 2, 35, -4, 10] a.…

A: Actually, array is an collection of elements.

Q: Question 5 (Sorting) Write down the list content at the end of each iteration of the main loop (ie.…

A: Sorting: The process of arranging data either in ascending or descending order is called sorting.…

Q: # Imports from Stack_array import Stack # Constants BAL= 'is balanced' NO_MATCH = 'mismatched…

A: Checking if a given string has balanced brackets is the task at hand. In computer science and…

Q: In an array implementation of a Stack, the top of the Stack should be at index 0 of the array.

A: According to the question, we need to tell and explain that In an Array implementation of a stack,…

Q: Lab 16 Implementing bubble sort In this lab, you will implement the bubble sort algorithm. The…

A: #include <iostream> using namespace std;//function Bubble sort to elements using bubble sort…

Q: Your lecturer is a funny guy; given an unsorted list of n numbers, he will use the following…

A: Answer: We need to need write is the recurrence and time complexity for the given algorithms so we…

Q: inner iteration. Through cach iteration of the outer ite insorted portion will be “bubbled" to the…

A: Q.

Q: Select which of the following statements about searching for items in a list is incorrect.

A: Answer 1. In an unsorted list, if the item is not present in the list, we will need to check every…

Q: A particular sorting algorithm takes integer list 10, 6, 8 and incorrectly sorts the list to 6, 10,…

A: Please refer to the following step for the complete solution of the problem above.

Q: Which of the following structures would be the most efficient to use if you wanted to establish a…

A: Ans - A. a doubly linked list that is sorted. option (a) would be correct option

Q: 6 - Merge sorted arrays Program a method merge_sorted(a,b) that when given two sorted arrays a and…

A: Create the two sorted arrays. Pass these arrays to function merge_sorted(a,b). This function will…

Q: Bubble Sort adaptation. Rewrite the following bubblesort algorithm so that in each pass, it “bubbles…

A: //bubble sort adaptation //bubbles down from smallest element to the left end BubbleSort(a,n) {…

Question

Module 5: Merge Sort
Merge Sort works by continuously partitioning a list into two smaller sub-lists so it is
working with smaller sub-lists during each recursive call. When does the Merge Sort
method stop partitioning a list into sub-lists and begin returning?
After four divides
When each sublist has one element
When each sublist is already sorted
When each sublist has two elements

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step 3

VIEW

Step by step

Solved in 3 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.

Similar questions

Apply the merge sort on the following list and sort the list in decreasing order: 91 98 29 93 98 53 68 33 33 47 You must show how the list is divided by the recursive calls to MERGE-SORT, then merged at each stage to obtain the final sorted list.
Need help with standard ML languege I need to write a binarySearch function that recursively implements the binary search algorithm to search a sorted integer list for a specified integer and returns true if it is found, false otherwise. For example, binarySearch ([100,200,300,400,500], 200) returns true, whereas binarySearch([100,200,300,400,500], 299) returns false. Hint: Write a helper function mid that returns a tuple (index, value) representing the middle value in a list. For example, mid [10, 2, 40, 8, 22] returns (2,40) because the value 40 at index 2 is the middle value in the list. Similarly, mid [10, 20] would return (1, 20). Use mid in conjunction with slice to implement binarySearch.
The list {118, 6, 43, 36, 25, 3, 26} after the first pass of Radix sort becomes
(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.
int [] list = {18,57,8,89,7} and the length = 5 Sort the array using insertion sort algorithm. Fill out the trace table public class InsertionSort { /** The method for sorting the numbers */ public static void insertionSort(int[] list) { for (int i = 1; i < list.length; i++) { /** insert list[i] into a sorted sublist list[0..i-1] so that list[0..i] is sorted. */ int currentElement = list[i]; int k; for (k = i - 1; k >= 0 && list[k] > currentElement; k--) { list[k + 1] = list[k]; } // Insert the current element into list[k+1] list[k + 1] = currentElement; } } /** A test method */ public static void main(String[] args) { int[] list = {18,57,8,89,7}; insertionSort(list); for (int i = 0; i < list.length; i++) System.out.print(list[i] + " "); } }
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…
**Cenaage Python** Question: A sequential search of a sorted list can halt when the target is less than a given element in the list. Modify the program to stop when the target becomes less than the current value being compared. In a sorted list, this would indicate that the target is not in the list and searching the remaining values is unnecessary. CODE: def sequentialSearch(target, lyst): """Returns the position of the target item if found, or -1 otherwise. The lyst is assumed to be sorted in ascending order.""" position = 0 while position < len(lyst): if target == lyst[position]: return position position += 1 return -1 def main(): """Tests with three lists.""" print(sequentialSearch(3, [0, 1, 2, 3, 4])) print(sequentialSearch(3, [0, 1, 2])) # Should stop at second position. print(sequentialSearch(3, [0, 4, 5, 6])) if __name__ == "__main__": main()
Perform the following operations utilizing c++ code.N.b array size to be used is ten.a)enqueue() i.e enqueue the list; Two,three,four,five,six,seven and eight and after display enqued list.b)dequeue() i.e delete or remove any two elements in the queue in a) above and after display the updated queue after deletion.c)ISfull() i.e Display if the queue is Full or not.d)Isempty() i.e Display if the queue is Empty or not.e)print() i.e print the final list of the elements of the Queue after performing tasks of a) - d).
The optimised bubble sort offers none of the following benefits over conventional sorts for items that have already been sorted.
Create three problem instances of size n is around 10, representing the best-case, worst-case and average-case for Radix Sort respectively. Show how the Radix Sort works on the best-case, and explain why each of them represents the best-case, worst-case and average-case respectively. psudocode for Radixsort attached
Lab 16 Implementing bubble sort In this lab, you will implement the bubble sort algorithm. The bubble sort is so called because it compares adjacent items, "bubbling" the smaller one up toward the beginning of the array. By comparing all pairs of adjacent items starting at the end of the array, the smallest item is guaranteed to reach the beginning of the array at the end of the first pass.The second pass begins again at the end of the array, ultimately placing the second smallest item in the second position. During the second pass, there is no need to compare the first and second items, because the smallest element is guaranteed to be in the first position.Bubble sort takes at most n - 1 passes for an array of n items. During the first pass, n - 1 pairs need to be compared. During the second pass, n - 2 pairs need to be compared. During the ith pass, n - i pairs need to be compared. During the last pass, n - (n - 1) or one pair needs to be compared. If, during any pass, no two…
A merge sort is used to sort an array of 1000 test scores in descending order. Which of the following statements is true?a) The sort is fastest if the original test scores are sorted from smallest to largestb) The sort is fastest if the original test scores are in completely sorted order.c) The sort is fastest if the original test scores are sorted from largest to smallest.d) The sort is the same, no matter what the order of the original elements.