Answer the given question with a proper explanation and step-by-step solution. please solve it in python. And explain the work in words with some lines and also explain the simulation. Thank You.
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Answer the given question with a proper explanation and step-by-step solution.
please solve it in python. And explain the work in words with some lines and also explain the simulation. Thank You.
Step by step
Solved in 4 steps with 2 images
- A binary search only works if the values in the list are sorted. A bubble sort is a simple way to sort entries. The basic idea is to compare two adjacent entries in a list-call them entry[j] and entry[j+1]. If entry[j] is larger, then swap the entries. If this is repeated until the last two entries are compared, the largest element in the list will now be last. The smallest entry will ultimately get swapped, or "bubbled" up to the top. The algorithm could be described in C as: last = num; while (last > 0) { pairs = last – 1: for (j = 0; j entry (j+1] { temp = entry[il: entryli] = entrylj+1]; entrylj+1] = temp; last = i: } } Here, num is the number of entries in the list. Write an assembly language program to implement a bubble sort algorithm, and test it using a list of 8 elements. Each element should be a halfword in length. Please show your code works with the Keil tools or VisUAL, by grabbing a screen shot with your name somewhere on the screen.Consider a Binary Search Algorithm that performs a search for the number 48 within the following unsorted list. Using paper and pencil, show the detailed steps for that search algorithm until 48 is found. You must use bubble sort if need it.1019134353415604870Quicksort is a powerful divide-and-conquer sorting algorithm that can be described in just four lines ofpseudocode. The key to Quicksort is the PARTITION(A, p, r) procedure, which inputs elementsptorof array A,and chooses the final element x = A[r] as the pivot element. The output is an array where all elementsto the left ofxare less thanx, and all elements to the right of x are greater than x. In this question, we will use the Lomuto Partition Method from class and assume that the pivot isalwaysthe last (right-most) element of the input array. Question: Let A be an array withn= 2k−1 elements, where k is some positive integer. Determine a formula (in terms of n) for the minimum possible number of total comparisons required by Quicksort, as well as a formula for the maximum possible number of total comparisons required by Quicksort. Use your formulas to show that the running time of Quicksort is O(nlogn) in the best case and O(n2) in the worst case.
- Write the algorithm for Quick Sort and sort the following numbers using the samesorting technique.A= [ 20, 26,18, 22, 25,16, 13, 19,15]There is a variation of the bubble sort algorithm called a gap sort that, rather than comparing neighboring elements each time through the list, compares elements that are some number i positions apart, where i is an integer less than n. For example, the first element would be compared to the (i + 1) element, the second element would be compared to the (i + 2) element, the nth element would be compared to the (n - i) element, and so on. A single iteration is completed when all of the elements that can be compared, have been compared. On thenext iteration, i is reduced by some number greater than 1 and the process continues until i is less than 1. Implement a gap sort.Your task is sorting the given list by dictionary order, sortingoperation must be realized using the bubble sort algorithm. Additionally,this list implementation should be written using a two-dimensional char ar-ray.Bubble Sort Algorithm1 function swap ( a , b)2 // F i l l own your own !3 end function45 function compare ( a , b)6 // Compare f unc t i on should be implemented7 // to r e a l i z e the s o r t i n g c r i t e r i a .8 // For example , e l ement s in a are s t r i n g s and9 // the y are to be s o r t e d in d i c t i o n a r y order .10 // strcmp f unc t i on can be used in p l a c e11 // of compare f unc t i on .12 end function1314 function bubbl e s o r t ( a , n)15 while n != 016 high = 017 for i=0 to n=2 incremented by 118 i f compare ( a [ i ] , a [ i +1]) > 0 then19 swap ( a [ i ] , a [ i +1])20 high = i+121 end i f22 end for23 n = high24 end while25 end function1
- Consider the following list:18, 8, 38, 25, 45, 12, 74, 60, 30a. This list is to be sorted using the insertion sort algorithm . Show the list after five iterations of the for loop.b. Exactly how many key comparisons are executed during the first fiveiterations of the for loop?One disadvantage of using a For-loop in sorting algorithms is that the body of theFor-loop is repeatedly executed even if it is no longer necessary. One example isBubble Sort:Input: Array A[1 . . . n]Output: Array A sortedfor i ←1 to (n −1) dofor j ←1 to (n −i) doif A[j] > A[j + 1] thenA[j] ↔A[j + 1]return AIn the array [2, 1, 3, 7, 9] we know that when 2 and 1 are interchanged, early on in theexecution of the algorithm, the array is now sorted, and all subsequent iterations ofthe outer loop are unnecessary. *Write a version of Bubble Sort that avoids unnecessary comparisons*Given an Integer N and a list arr. Sort the array using bubble sort algorithm. Example 1: Input: N = 5 arr[] {4, 1, 3, 9, 7} %3D Output: 1 3 4 7 9
- 1a. Find the complexity of the algorithm as Big O notation: countValue(a, n, val) { count = 0 for i=1 to n { if (a[i] == val) count count + 1 } return count 1b. Write the algorithm which sorts the array by using the merge sort algorithm. Then find the complexity of the algorithm as Big O notation. 1c. Write the algorithm which sorts the array by using the quick sort algorithm. Then find the complexity of the algorithm as Big O notation.Exercise 1:In this problem, we would like to implement a variation of the Bubble Sort algorithm. The algorithm differs from a bubble sort in that it sorts in both directions on each pass through the list. The algorithm is illustrated as in the following figure: For the first step, we perform bubble sort from the index 1 to n (n is thenumber of elements in the array). The next step, we perform a reserved bubble sort from the index n to 1. The process is repeated until all the array is sorted. Propose a pseudo-code to complete the Bubble Sort algorithm. Implement and test this algorithm in C/C++. Analyze and compute the complexity of this algorithm in the best, average and worst scenarios.Exercise 2:Re-implement Exercise 1 using a linear data structure: List, Stack, Queue. Justify your choice of data structure.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…