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- Q4. Consider Following 4 lists lists: L1 45 12 06 34 02 18 09 L2 35 22 05 14 08 22 30 Apply Heap sort, Quick sort and Merge sort algorithms (step by step and complete) on all of above lists individually. Also compute the time complexity for each algorithm.Delete minimum from the following heap 10 14 19 26 31 42 27 44 35 33Linked List Question Which of the following statements are correct regarding the time complexity of getting the index of an item in a list? In an array-based implementation of lists, the worst-case time complexity of getting the index of an item in a list is O(n). In a linked list implementation, the worst-case time complexity of getting the index of an item in a list is O(1). Which of the following statements are correct regarding the time complexity of removing an item from a list? In an array-based implementation of lists, the worst-case time complexity of removing an item given the index of the item is O(n). In a linked list implementation, the worst-case time complexity of removing an item given the index of the item is O(n). Which of the following statements are correct about adding an element to a list implemented using arrays with no maximum limit for the number of elements and array growing? Adding an element may require copying elements to a new…
- When using a t-ary heap in heapsort, find the value of t that minimises the coefficient of N lg N in the compare count when considering only the cost of compares and assuming that it takes t compares to find the largest of t items. Assume that sink() is a simple generalisation; then, assume that Floyd's method can save one compare in the inner loop.KRUSKAL’S MINIMUM SPANNING TREE ALGORITHM with HEAP SORT !!!please read the instructions!! Task 1: Implement heap_sort() function for using Kruskal’s MST algorithm. This function also needs heapify() function. You can add your utility functions as many as you want. Task 2: Implement Kruskals_MST() function. This function needs another function for detecting the cycles on the graph which name is is_cycle(). You can add your utility functions as many as you want.3 In the best case, the time complexity of heap sort is O (n) 4 In the max-heap, the largest element is in the root node, and the smallest element is in a leaf node In th 5 If the initial data has been roughly ordered, the time complexity of quick sort is O (nlogn) 6 The number of comparisons required by all sorting algorithms depends on the initial permutation position of the elements to be sorted Reset
- linked list question Which of the following statements are correct regarding the time complexity of removing an item from a list? In an array-based implementation of lists, the worst-case time complexity of removing an item given the index of the item is O(n). In a linked list implementation, the worst-case time complexity of removing an item given the index of the item is O(n).Consider a Max-Heap, how many maximum comparisons require to find the minimum element. 1 O N-1 O 4 O NA = ⟨4,33,6,90,33,32,31,91,90,89,50,33⟩ A is a min heap, extract TWO minimum values and then rearrange the array to satisfy the min-heap property pls show step by STEP HOW TO DO THIS PLS HELP!!!
- Example of Longest Increasing Subsequence.Construct the max heap from the given integer values using Heapify algorithmic concept. Given Data: 30, 25, 15, 50, 75, 95, 100Longest Increasing Subsequence problem to find the length of the longest subsequence of a given sequence such that all elements of the The longest increasing subsequence problem is subsequence are sorted in increasing order For example, the length of LIS for {10, 22, 9, 33, 21, 50, 41, 60, 80} is 6 and LIS is {10, 22, 33, 50, 60, 80} Solution: 1 + max(L,) for 0SEE MORE QUESTIONS