Q4. Select all properties of a maximum heap.O is a treeO the root has the minimum valuethe root has the maximum valueO each node has a value greater than values of its childrenO maintains the heap property by using heapify proceduresa leaf node on the right has the maximum value

A maximum heap is a complete binary tree in which the value of each node is greater than or equal to…

Q4. Select all properties of a maximum heap. is a tree the root has the minimum value the root has the maximum value each node has a value greater than values of its children O maintains the heap property by using heapify procedures a leaf node on the right has the maximum value

Q4. Select all properties of a maximum heap. is a tree the root has the minimum value the root has the maximum value each node has a value greater than values of its children O maintains the heap property by using heapify procedures a leaf node on the right has the maximum value

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter18: Stacks And Queues

Section: Chapter Questions

Problem 21SA

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Concept explainers

Heap Sort

A Heap is a type of data structure that is built on trees. It's a binary tree that's virtually complete. Except for the very bottom level, all levels of the tree must be filled in a heap. The last (bottom) level should be filled from left to right. The heap data structure is used for the efficient implementation of priority queues.Heap can be of two types:

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Q4. Select all properties of a maximum heap.
O is a tree
O the root has the minimum value
the root has the maximum value
O each node has a value greater than values of its children
O maintains the heap property by using heapify procedures
a leaf node on the right has the maximum value

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Heap Operation 1. pq.Enqueue(28); 2. pq.Enqueue(2); 3. pq.Enqueue(40); 4. pq.Dequeue(x); 5. pq.Dequeue(y); 6. pq.Dequeue(z); 56 27 42 26 15 3 19 Values x, y, z? 25 24
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48. If the list through the heap is doubly-linked, it is easy to find the node to set "las" to... True False
Assume the following list: 30, 45, 1, 26, 90, 5, 85, 35, 20, 41, 38, 72, 11, 33, 49 Using the function buildHeap as given in this chapter, convert the list into a heap. Show the resulting list after three passes of heapsort. (Use the heapify procedure as given in this chapter.) One pass:________________________________________________ Two passes:_______________________________________________ Three passes:______________________________________________ //---------buildHeap function-------------------- template <class elemType> void arrayListType<elemType>::buildHeap() { for (int index = length / 2 - 1; index >= 0; index--) heapify(index, length - 1); }//end buildheap //-----------heapify function------------------ template<class elemType> void arrayListType<elemType>::heapify(int low, int high) { int largeIndex; elemType temp = list[low]; //copy the root node of the subtree largeIndex = 2 * low + 1; //index of the left child while (largeIndex <= high)…
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