please do fast:-- Estimate how many times faster an average successful search will be in a sorted array of one million elements if it is done by binary search versus sequential search.
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please do fast:--
Estimate how many times faster an average successful search will be in a sorted array of one million elements if it is done by binary search versus sequential search.
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- Consider the algorithm for insertion sort shown below. The input to this algorithm is an array A. You must assume that indexing begins at 1.Q:During each iteration of Quick Sort algorithm, the first element of array is selected as a pivot. The algorithm for Quick Sort is given below. Modify it in such a way that last element of array should be selected as a pivot at each iteration. Also explain the advantages.Write a permutation of 9 integers which is not in sorted order. Sort the integers using the sorting algorithms: Bubble Sort, Insertion Sort, Selection Sort and Quick Sort. Assume that the numbers are stored in an array. You should show the contents of the array after each iteration for all the algorithms.
- Let N be an unordered array of integers. The maximum number of compares required to find the minimum value is N Select one: OTrue OFalseTrue 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 elementsBest 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…
- 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…Let A = [5,20,55,45,30,24,8,16,32,25] . Apply Bubble Sort algorithm for the array A. Write the elements of the array at each iteration/pass.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.
- Following array is being sorted by Radix sort. Two iterations are already completed, What will be the new sequence after running the third iteration. 1, 7, 10, 9420, 3221, 5622, 4127, 2030, 3138, 743, 577, 9680, 82, 4793, 2599Q4- 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.If N represents the number of elements in a list, then searching for an element in a sorted array-based list takes no less than O(N) time. True False