Question

Suppose an array A stores n integers, each of which is in {0, 1, 2, ...,...

Suppose an array A stores n integers, each of which is in {0, 1, 2, ..., 99}. Which of the following sorting algorithms can sort A in O(n) time in the worst case?

Question 16 options:

A)

merge sort

B)

counting sort

C)

quicksort

D)

None of these options is correct.

E)

insertion sort

Homework Answers

Answer #1

D) None of these options is correct

As for the comparison just look at the following table which shows the whole scenario of sorting algorithm time complexity of worst-case time complexity column for each sorting algorithm.

Algorithm Data structure Time complexity:Best Time complexity:Average Time complexity:Worst Space complexity:Worst
Quick sort Array O(n log(n)) O(n log(n)) O(n2) O(n)
Merge sort Array O(n log(n)) O(n log(n)) O(n log(n)) O(n)
Insertion sort Array O(n) O(n2) O(n2) O(1)
Count Sort Array Ω(N + k) Θ(N + k) O(N + k) O(k=n)

Thanks

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
1.) Generate an array of 10 random numbers between 1 - 100 2.) Copy the array...
1.) Generate an array of 10 random numbers between 1 - 100 2.) Copy the array to a temp array 3.) Call each of the methods to sort (bubble, selection, insertion, quick, merge), passing it the array 4.) In-between the calls, you are going to refresh the array to the original numbers. 5.) Inside of each sorting method, you are going to obtain the nanoseconds time, before and after the method Subtract the before time from the after time to...
out of the following four: 1.Bubble sort 2. Insertion sort 3. Quicksort 4. Mergesort a. Which...
out of the following four: 1.Bubble sort 2. Insertion sort 3. Quicksort 4. Mergesort a. Which sorting methods perform best and worst for data sizes ≥ 25,000 when the input data is random? b. Which sorting methods perform best and worst for data sizes ≥ 25,000 when the input data is 90% sorted? c. Which sorting methods perform best and worst for data sizes ≥ 25,000 when the input data is reverse sorted? d. Which sorting methods perform best and...
Implement functions for insertion sort, quicksort, heapsort and merge sort that input an array of integers...
Implement functions for insertion sort, quicksort, heapsort and merge sort that input an array of integers and sort it in-place. Write a program that generates random integer arrays (hint: use seed appropriately to avoid generating same sequences) of lengths 10, 100, 1000, 10,000, 100,000, 1000,000, and then sorts each using each of the sorting functions from (a), and measures the time in nanoseconds. The program will repeat this process 30 times and will compute the average execution time for each...
Determine wether the statements are true or false 1. Suppose we have f(n) = nlgn ,...
Determine wether the statements are true or false 1. Suppose we have f(n) = nlgn , g(n) = 5n , then f(n) = O(g(n)). 2. Suppose we have f(n) = nn/4 , g(n) = n1/2lg4n , then f(n) = O(g(n)). 3. No comparison-based sorting algorithm can do better than Ω(n log n) in the worst-case 4. Quicksort running time does not depend on random shuffling.
Given an array, A, of n−2 unique integers in the range from 1 to n, describe...
Given an array, A, of n−2 unique integers in the range from 1 to n, describe an O(n)-time method for finding the two integers in the range from 1 to n that are not in A. You may use only O(1) space in addition to the space used by A.
1. Given an n-element array A, Algorithm X executes an O(n)-time computation for each even number...
1. Given an n-element array A, Algorithm X executes an O(n)-time computation for each even number in A and an O(log n)-time computation for each odd number in A. What is the best-case running time of Algorithm X? What is the worst-case running time of Algorithm X? 2. Given an array, A, of n integers, give an O(n)-time algorithm that finds the longest subarray of A such that all the numbers in that subarray are in sorted order. Your algorithm...
Given the following unordered array: [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] [10]...
Given the following unordered array: [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] W X D T P N R Q K M E If the array was being sorted using the SHELL sort and the halving method, and sorting into ASCENDING order as demonstrated in the course content, list the letters in the resulting array, in order AFTER the FIRST pass. [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] [10]
Do a theta analysis and count the number of computations it performed in each function/method of...
Do a theta analysis and count the number of computations it performed in each function/method of the following code: import java.io.*; import java.util.Scanner; class sort { int a[]; int n; long endTime ; long totalTime; long startTime; static BufferedReader br = new BufferedReader(new InputStreamReader(System.in)); public sort(int nn) // Constructor { a = new int[nn]; n = nn; endTime= 0; totalTime =0; startTime =0; } public static void main(String args[]) throws IOException { System.out.print("\nEnter number of students: "); int nn =...
QUESTION 1 For the following recursive function, find f(5): int f(int n) { if (n ==...
QUESTION 1 For the following recursive function, find f(5): int f(int n) { if (n == 0)    return 0; else    return n * f(n - 1); } A. 120 B. 60 C. 1 D. 0 10 points    QUESTION 2 Which of the following statements could describe the general (recursive) case of a recursive algorithm? In the following recursive function, which line(s) represent the general (recursive) case? void PrintIt(int n ) // line 1 { // line 2...
The special case of the gamma distribution in which α is a positive integer n is...
The special case of the gamma distribution in which α is a positive integer n is called an Erlang distribution. If we replace β by 1 λ in the expression below, f(x; α, β) = 1 βαΓ(α) xα − 1e−x/β x ≥ 0 0 otherwise the Erlang pdf is as follows. f(x; λ, n) = λ(λx)n − 1e−λx (n − 1)! x ≥ 0 0 x < 0 It can be shown that if the times between successive events are...