Screen Shot 2022-09-25 at 2

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…

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…

BUBBLE SORT Sort the following list of elements using the bubble sorting algorithm. Show the passes until the list is sorted. 23 15 8 12 20 10

The optimised bubble sort offers none of the following benefits over conventional sorts for items that have already been sorted.

Language: Python 3 Autocomplete Ready O 1 v import ast 3. Hybrid Sort input() lst %3D 3 lst = ast.literal_eval(lst) 4 Insertion sort is a simple sorting algorithm that builds the final sorted array one item at a time. In each iteration, insertion sort inserts an element into an already sorted list (on left). The position where the item will be inserted is found through linear search. You decided to improve insertion sort by using binary search to find the position p where the new insertion should take place. 6 print(BinaryInsertionSort(lst)) Algorithm BinarylnsertionSort Input/output: takes an integer array a = {a[0], ..., a[n – 1]} of size n begin BinarylnsertionSort for i =1 to n val = a[i] p = BinarySearch(a, val, 0, i – 1) for j = i-1 to p a[j + 1]= a[i] j= j-1 end for a[p] = val i i+1 end for end BinarylnsertionSort Here, val = a[i] is the current value to be inserted at each step i into the already sorted part a[0], ..., ați – 1] of the array a. The binary search along that part…

Sorting refers to arranging data in a particular order. Apply Bubble Sort algorithm to sort the given list of numbers in descending order. Show the results of each round of the bubble sort algorithm. 27 59 81 62 35 56 31 23 6.

Sort the following list using the bubble sort algorithm as discussed in this chapter. Show the list after each iteration of the outer for loop. 26, 45, 17, 65, 33, 55, 12, 18

Subject: Data structure

Best Partition You are given an array of positive numbers of size N and an integer K. You need to partition the array into K continuous segments. For each segment, the sum of its elements needs to be calculated. The segment with the minimum sum is called the bestSegment and the sum of the elements of the bestSegment is called the bestSum. For all possible combinations of partitions of the array when divided into K segments, their bestSum needs to be calculated and the one among them with maximum value needs to be returned. Input Specification: input1: an array of N positive numbers input2: an integer N denoting the length of the array input3: an integer K Output Specification: Return an integer denoting the maximum value of all possible bestSum. Example 1: input1: (1,2,3,4} input2: 4 input3: 2 Output: 4 Explanation: You can partition the given array into 2 continuous segments in the following manner- • 123 14- the sum of individual segments is (6,4) and the bestSum is 4 • 12134- the…

Question in image Please explain how to do with answer

Write a version of the sequential search algorithm that can be used to search a sorted list.

True or False  For each statement below, indicate whether you think it is True or False. Inserting elements into a sorted array is O(n) because you have to find the location to add the new element and then shift the remaining elements If the sorted array gets too large, the performance of binary search becomes O(n) For the delete algorithm, after you find the element to delete, you can make the algorithm run faster by replacing it with the last element in the array If you used binary search to find the element to delete, the performance is still O(n) because you may have to shift all elements

The minimum height of a binary search tree win n keys is log2 n Select one: OTrue OFalse

OBJECT   Lab Session 03   Application of the Linear and binary search on a list of elements stored in an array.   THEORY   Linear Search A nonempty array DATA with N numerical values is given. This algorithm finds the location LOC and required value of elements of DATA. The variable K is used as a counter. ALGORITHM   1. Set k := 1 & loc : = 0 Repeat step 3 & 4 while loc : = 0 &k < = n If (item = data[k]) loc : = k Else K = k + 1 If loc > = 0 or If (item = data[k]) then Print “loc is the location of item” Else Print “no. not found” Exit   Binary Search Suppose DATA is an array that is sorted in increasing (or decreasing) numerical order or, equivalently, alphabetically. Then there is an extremely efficient searching algorithm, called binary search, which can be used to find the location LOC of a given ITEM of information in DATA.   The binary search algorithm applied to our array DATA works as follows: During each stage of our algorithm, our search for ITEM is…

OBJECT   Lab Session 03   Application of the Linear and binary search on a list of elements stored in an array.   THEORY   Linear Search A nonempty array DATA with N numerical values is given. This algorithm finds the location LOC and required value of elements of DATA. The variable K is used as a counter. ALGORITHM   1. Set k := 1 & loc : = 0 Repeat step 3 & 4 while loc : = 0 &k < = n If (item = data[k]) loc : = k Else K = k + 1 If loc > = 0 or If (item = data[k]) then Print “loc is the location of item” Else Print “no. not found” Exit   Binary Search Suppose DATA is an array that is sorted in increasing (or decreasing) numerical order or, equivalently, alphabetically. Then there is an extremely efficient searching algorithm, called binary search, which can be used to find the location LOC of a given ITEM of information in DATA.   The binary search algorithm applied to our array DATA works as follows: During each stage of our algorithm, our search for ITEM is…

6 All sorting algorithms require a certain number of comparisons, which is determined by the initial permutation position of the elements to be sorted. 7 Bubble sort is more efficient than rapid sort when the data is loosely ordered?