7. If A[0..n-1] is an array with n elements and procedure Swap exchangesits arguments, then the following code sorts A in descending order.int j + 0while (j < n - 1 )int k + 0while ( k < n - j - 1 )if ( A[k] < A[k + 1] )Swap ( A[k], A[k + 1] )end ifk + k + 1end whilej +j + 1end whileIf A initially contains n different elements sorted in ascending order, how many calls toSwap are made in total?

The given data sorted and ascending order Let's say data is 1,2,3=> 1<2 swap 2 1 3=>…

Answered: 7. If A(0..n-1] is an array with n…

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

Similar questions

1. Initialize i = strlen(s1)2. Initialize j = strlen(s2)3. Initialize count =0;/ * This segment copies characters of s2 into array s1 * /4. Repeat steps 5 to 7 while count <= j5. s1[i] = s2[count]6. i = i + 17. count = count + 18. Exit run the above algorithm using functions
1. Initialize i = strlen(s1)2. Initialize j = strlen(s2)3. Initialize count =0;/ * This segment copies characters of s2 into array s1 * /4. Repeat steps 5 to 7 while count <= j5. s1[i] = s2[count]6. i = i + 17. count = count + 18. Exit Run your coding of Algorithm A2 with the following test casess1 = “But” and s2 = “ter”
Q: Write a program / Pseudo code / Algorithm that inserts the following numbers into two Separate arrays. L1 à 50 30 25 75 82 28 77 L2 à 50 40 25 75 80 21 37 30 After Insertion median should be calculated for each adjacent element from both array structures, after computing median print / Output that array M. if M is the median them M0 = (L1[0]+L2[0]) /2 M1 = (L1[1]+L2[1]) /2 …………..
ALGO1(A)// A is an integer array, an index that starts at 11): for i=1 to n-1 do2): minIndex = findSmallest(A,i)3): exchange A[i] with A[minIndex] The sub-routine find the smallest(A, i) in Line 2, and returns the index of the smallest element in thesub-array A[i:n]Suppose the array below is provided as input to ALGO1 2 5 6 7 3 8 1 4 Fill in the Blanks At the end of the first iteration of the for loop (i.e. with i=1)1) a) the element at index 1 is : b) the element at index 4 is : c) the element at index 7 is :
: In searching an element in an array, linear search can be used, even though simple to implement, but not efficient, with only O(n) time complexity. Assuming the array is already in sorted order, modify the search function below, using a better algorithm, so the average time complexity for the search function is O(log n). include <iostream> using namespace std; int search(int al), int s, int v) { 1/ Modify below codes. for (int i = 0; i <s; i++) { if (a[i] = v) return i; return -1; int main() { int intArray:10] = { 5, 7, 8, 9, 10, 12, 13, 15, 20, 34); // Search for element '12' in 10-elements integer array. cout << search(intArray, 10, 12); // '5' will be printed out. // Search for element '35' in 10-elements integer array. cout << search(intArray, 10, 35); // '-1' will be printed out. // Index '-l' means that the element is not found. return 0;
1.Given an array arr[] and an integer K where K is smaller than size of array, the task is to find the Kth smallest element in the given array. It is given that all array elements are distinct. Note :- l and r denotes the starting and ending index of the array. Example 1: Input: N = 6 arr[] = 7 10 4 3 20 15 K = 3 Output : 7.
function Sum(A,left,right) if left > right: return 0else if left = right: return A[left] mid = floor(N/2) lsum = Sum(A,left,mid) rsum = Sum(A,mid+1,right) return lsum + rsum function CreateB(A,N)B = new Array of length 1 B[0] = Sum(A,0,N-1) return B Building on the above, in a new scenario, given an array A of non-negative integers of length N, additionally a second array B is created; each element B[j] stores the value A[2*j]+A[2*j+1]. This works straightforwardly if N is even. If N is odd then the final element of B just stores A[N-1] as we can see in the figure below: (added in image) The second array B is now introducing redundancy, which allows us to detect if there has been a hardware failure: in our setup, such a failure will mean the values in the arrays are altered unintentionally. The hope is that if there is an error in A which changes the integer values then the sums in B are no longer correct and the algorithm says there has been an error; if there were an error in B…
#Python Program a method merge_sort(a,b) that when given two sorted arrays a and b, returns a new sorted array c that has the elements from array a and array b. For example when givena = [1,3,5,6,10]b = [1,4,6,8] the resulting array should be: c = [1,1,3,4,5,6,6,8,10] The program should be implemented WITHOUT using any python libraries such as NumPy or other libraries. This method should not call a sorting method. Instead, the resulting array should be produced by "zipping" the two input arrays together: we repeatedly select the least element that we did not consider before from a and b and include this in c.merge_sort(a,b) :
In main() for now: do these - one at a time, each in it's own loop (we will make functions out of them later –Declare an array RandArray with 20 integers –Assign each of the 20 values with a random value from 0 to 99 Hint: Use rand()%100 For mimir: Do not call srand at the top of main. // normally: Call srand(time(0)) at the top of main –(you need #include<cstdlib>) –Write another loop that prints the array, with index values Important: If the output values do not match mimir, please add srand(17); // inside your main function - at the top code format: #include <iostream>using namespace std; #include <cstdlib> // required for rand() int main(){ srand(17); // define a constant ARRAYSIZE that is 20 // declare randArray // set the 20 elements in randArray to be a random number between 0 and 99 // hint: use rand()%100 // print the 20 values return 0;}
Please run this code for n=6 for arrays 1,34,0,6,78,11 and n=5 for array 8,7,6,5,4 #include <stdio.h>void selection_sort(int arr[], int n) { if (n<=1) return ; int max_id=0; for(int i=0;i<n;i++) { if(arr[i]>arr[max_id]) max_id=i; } int temp=arr[max_id]; arr[max_id]=arr[n-1]; arr[n-1]=temp; selection_sort(arr,n-1); return;}
1. Estimate in terms of n, the worst case time complexity of each of the following pseudo-code snippets: a. ALGORITHM sum(n) sum -0 for i 0 to n do for j +0 to n*n do sum Esum + 1 return sum
1r. ""Implementation of the Misra-Gries algorithm.Given a list of items and a value k, it returns the every item in the listthat appears at least n/k times, where n is the length of the array By default, k is set to 2, solving the majority problem. For the majority problem, this algorithm only guarantees that if there isan element that appears more than n/2 times, it will be outputed. If thereis no such element, any arbitrary element is returned by the algorithm.Therefore, we need to iterate through again at the end. But since we have filtredout the suspects, the memory complexity is significantly lower thanit would be to create counter for every element in the list. For example:Input misras_gries([1,4,4,4,5,4,4])Output {'4':5}Input misras_gries([0,0,0,1,1,1,1])Output {'1':4}Input misras_gries([0,0,0,0,1,1,1,2,2],3)Output {'0':4,'1':3}Input misras_gries([0,0,0,1,1,1]Output None""".

SEE MORE QUESTIONS

Recommended textbooks for you

Database System Concepts

Computer Science

ISBN:

9780078022159

Author:

Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:

McGraw-Hill Education

Starting Out with Python (4th Edition)

Computer Science

ISBN:

9780134444321

Author:

Tony Gaddis

Publisher:

PEARSON

Digital Fundamentals (11th Edition)

Computer Science

ISBN:

9780132737968

Author:

Thomas L. Floyd

Publisher:

PEARSON

Database System Concepts

Computer Science

ISBN:

9780078022159

Author:

Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:

McGraw-Hill Education

Starting Out with Python (4th Edition)

Computer Science

ISBN:

9780134444321

Author:

Tony Gaddis

Publisher:

PEARSON

Digital Fundamentals (11th Edition)

Computer Science

ISBN:

9780132737968

Author:

Thomas L. Floyd

Publisher:

PEARSON

C How to Program (8th Edition)

Computer Science

ISBN:

9780133976892

Author:

Paul J. Deitel, Harvey Deitel

Publisher:

PEARSON

Database Systems: Design, Implementation, & Manag…

Computer Science

ISBN:

9781337627900

Author:

Carlos Coronel, Steven Morris

Publisher:

Cengage Learning

Programmable Logic Controllers

Computer Science

ISBN:

9780073373843

Author:

Frank D. Petruzella

Publisher:

McGraw-Hill Education

SEE MORE TEXTBOOKS