After two passes of a sorting algorithm, the following array: 80 72 66 44 21 33 has been rearranged as shown below 21 33 80 72 66 44 Which sorting algorithm is being used (straight selection, bubble, or straight insertion)? Defend your answer
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- Q4- For each of the following situations, name the best sorting algorithm we studied. (For one or two questions, there may be more than one answer deserving full credit, but you only need to give one answer for each.) (a) The array is mostly sorted already (a few elements are in the wrong place). (b) You need an O(n log n) sort even in the worst case and you cannot use any extra space except for a few local variables.(c) The data to be sorted is too big to fit in memory, so most of it is on disk. (d) You have many data sets to sort separately, and each one has only around 10 elements. (e) You have a large data set, but all the data has only one of about 10 values for sorting purposes (e.g., the data is records of elementary-school students and the sort is by age in years).(f) Instead of sorting the entire data set, you only need the k smallest elements where k is an input to the algorithm but is likely to be much smaller than the size of the entire data set.Given the following array: 27 38 12 39 27 16 After applying the quick-sort algorithm to the array, the first partition of the array when the pivot is the first item is: 27 12 16 39 27 38 O 12 16 27 39 27 38 O 16 12 27 39 27 38 O 16 12 27 39 38 27 O None of the aboveBinary Search algorithm uses the divide-and-conquer technique to find elements in O(logn) steps. Given the following sorted array that has 9 elements, what is the scope of the search (First index and last index of the array segment) in each iteration of the binary search algorithm while looking for the element "51"? Note: Numbers that show up in the first row are the array indexes 0. 1 3 4 6. 7 8. 9 12 19 21 30 32 37 44 51 1st Iteration -> First = 0, Last = 8 2nd Iteration -> First = 5, Last = 8 3rd Iteration -> First = 5, Last = 6 %3D O 1st Iteration -> First = 0, Last = 8 2nd Iteration -> First = 5, Last = 8 Brd Iteration -> First = 7, Last = 8 4th Iteration -> First = 8, Last = 8 O 1st Iteration -> First = 0, Last = 8 2nd Iteration -> First = 0, Last = 3 3rd Iteration -> First = 2, Last = 3 4th Iteration -> First = 3, Last = 3 O1st Iteration -> First = 0, Last = 8 2nd Iteration -> First = 0, Last 3 Brd Iteration -> First = 2, Last = 3
- Consider the following array: 23 32 45 69 72 73 89 97 Which algorithm out of the following options uses the least number of compari (among the array elements) to sort the above array in ascending order? (a) Quicksort using the last element as pivot (b) Selection sort (c) Mergesort (d) Insertion sortBinary Search algorithm uses the divide-and-conquer technique to find elements in O(logn) steps. Given the following sorted array that has 9 elements, what is the scope of the search (First index and last index of the array segment) in each iteration of the binary search algorithm while looking for the element "51"? Note: Numbers that show up in the first row are the array indexes 2 3 4 6 7 12 19 21 30 32 37 44 51 • 1st Iteration -> First = 0, Last = 8 2nd Iteration -> First = 5, Last = 8 3rd Iteration -> First = 5, Last = 6 1st Iteration -> First = 0, Last = 8 2nd Iteration -> First = 0, Last = 3 3rd Iteration -> First = 2, Last = 3 1st Iteration -> First = 0, Last = 8 2nd Iteration -> First = 5, Last = 8 3rd Iteration -> First = 7, Last = 8 4th Iteration -> First = 8, Last = 8 1st Iteration -> First = 0, Last = 8 2nd Iteration -> First = 0, Last = 3 3rd Iteration -> First = 2, Last = 3 4th Iteration -> First = 3, Last = 3Multiply 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€Write a computer program for searching an array consist of following numbers. [ 12 32 73 95 23 45 26 48 83 24 56 19 23 28 45 ] User enters a number for searching. If an array does not contain the number to the last row of the array. If the number is still exists, script outputs the text message " The number is already exists".using selection sort algorithm, the intermediate sorting results of sorting the array (1,3,24,19,5,2} in Descending order are: starting: {12,4,25,20,6,3,100} Result of the first iteration: Result of the second iteration: Result of the third iteration: Result of the fourth iteration: { Result of the fifth iteration: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…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.Assume that we have a sorted list in an array: Index: 0 1 2 3 4 5 6 7 8 9 10 11 numbers: 12 15 17 19 22 26 28 30 32 34 36 38 we want to use the binary search algorithm to find the value 19 in the list. What would be the indexes of the array that the binary search would check to find the value 19 the indexes and not the actual numbers in the list otherwiseSEE MORE QUESTIONS