Given Array: [17 25 2 3 5 7 9 10 11 12] In the first pass, a greater element will be placed in the last of the array. Pass 1: [17 2 3 5 7 9 10 11 12 25] Pass 2: [ 2 3 5 7 9 10 11 12 17 25] this array will be sorted in 2 passes in bubble sort. Question: How can you optimize the bubble sort algorithm to stop unnecessary iteration after the array is sorted.
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Given Array: [17 25 2 3 5 7 9 10 11 12]
In the first pass, a greater element will be placed in the last of the array.
Pass 1: [17 2 3 5 7 9 10 11 12 25]
Pass 2: [ 2 3 5 7 9 10 11 12 17 25]
this array will be sorted in 2 passes in bubble sort.
Question: How can you optimize the bubble sort
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- Question 8 Sort the following numbers using an "in place" version of a selection sort. This means that you should have only one array throughout and all elements should be present at all times. Show each "pass" of the algorithm. 34, 25, 11, 44, 21, 8, 4, 28, 16, 31Multiply left and right array sum. Basic Accuracy: 54.29% Submissions: 12630 Points: 1 Pitsy needs help in the given task by her teacher. The task is to divide a array into two sub array (left and right) containing n/2 elements each and do the sum of the subarrays and then multiply both the subarrays. Example 1: â€Bubble sort is used to arrange an array in an ascending or descending order. If we are using this algorithm to sort an array in descending order, then what will be the order of values after complete execution of outer loop 3 times: 9, 1, 4, 5, 2, 8, 6, 11, 7, 0 *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 elementsHomework 7: Merging two sorted arrays Due date: Saturday March 18. Objectives: Learn to implement algorithms that work with multiple arrays. Understand the Merging algorithm. IMPORTANT. Carefully study Lecture 1 from Week 8 on D2L before you start on this. Sometimes we need to combine the values in two sorted sequences to produce a larger sorted sequence. This process is called Merging. As an example, if the first sequence (S1)contains the numbers 2 3 4 4 5 9 and the second sequence (S2) contains the numbers 1 4 5 8 9 11 12 13 17 the output sequence will contain 1 2 3 4 4 4 5 5 8 9 9 11 12 13 17 Each sequence can be stored in an array. The strategy is as follows: Start by comparing the first items in the two input arrays. Write the smaller number to the output array, and move to the the next item in that array. This is repeated until we reach the end of any one of the input arrays; thereafter, we simply copy all the numbers from the other input array to the output array. (In the…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…Sort an array using:1. the bubble sort,2. insertion sort and 3. merge sort algorithm Array: 10, 30, 50, 40, 20 Show your solutions for every iterations.Array a= { 6,1,10, 9, 7, 4, 8, 2, 15 }; After the second iteration of the quick sort the array becomes O a. a=(4 1 2 67 9 8 10 15) O b.a= (2 1 4 6 7 9 8 10 15} O ca={6 1 4 27 9 8 10 15} on O d. a=[1 2 4 6 7 98 10 15)23 37 56 74 80 90 112 114 123 129 208 249 266 270 271 Suppose you use binary search to search for the value 129 in the array above. Fill in the values for each iteration of the search. The first one is filled in as an example. Remember high and low store the indices that track which part of the array is being considered. Iteration 1: high: 14 low: 0 mid: 7 Iteration 2: high: low: mid: Iteration 3: high: low: mid:Write a program that reads the numbers and sorts them by using the Counting Sort algorithm and finally search a number from that array using Linear Search Algorithm. Input: 3 6 5 4 789 Search Item: 7 Output: Sorted Array: 3 4 5 6 789 Search item 7 is found.1. Implement Bubble sort, Insertion sort, Selection sort, Quick sort, Merge sort and Radix sort algorithms (use static method). 2. Assume there are 21 students in your class. Take random scores (in the range of 0 to 100) of 21 students using an Integer array named stdScore. Hint to generate a random score: Random rand = new Random(); Integer score = rand.nextInt(100); 3. To perform the descending order sorting, pass the stdScore array (random score) while invoking each of the sorting algorithm you have implemented in step 1. Count number of comparisons required for performing descending order sorting. 4. Repeat step 3 by passing the already sorted stdScore array. Count number of comparisons required for descending order sorting. 5. Fill up the following table using the results you got from Step 3 and 4SEE MORE QUESTIONS