A heap is stored using an array as follows: INDEX C ONTENTS 0 1 2 3 4 5 6 90 80 75 60 78 30 20 Show the contents of the array after 85 is inserted into the heap. INDEX CONTENTS 0 1 2 3 4 5 6 7
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- Write a C++ program that does the following Create an Empty Binary min heap. Insert 3 values. Extract minimum value. Get minimum value. Delete value at index 2 Insert 5 more valuesDisplay the heap after each function.Construct a Binary Heap using the following sequence of numbers as input. It is up to you to decide to construct a Max heap or Min heap. 28 12 17 5 7 22 13 12 4 11 16 Do all of the following. Write a Max_heapify or Min_heapify function, depending on your construction decision Write a Build_heap function using the given series of numbers. Write a Delete_root function to delete a root node from the heap. Write a print function to display the heap. (print all nodes which have the same level in one line)**In JAVA please** Construct a Binary HEAP for 5000 random ints numbers which are between 0 and 50000. These numbers need to be generated by a random function. Construct Binary HEAP by inserting(using Insert()) the input elements one at a time, into an initially empty binary heap using insert operation. (This should be a different method from the "linear-time algorithm" to build a heap)
- Draw the heap from the array. Consider this heap a queue. 2) Dequeue each item from this queue until it is empty. Draw the status after every dequeue operation (9 figures, only dequeue and reheapdown).USE PYTHON TO SOLVE THIS PROBLEM Write the functions add( ), delete( ), build( ), heapify( ) [swim up], sink( ) and heapSort( ) for a Min Heap Data Structure. Create a .txt file containing a bunch of numbers. Read the input from there and use the build( ) function to create a heap. Then ask the user to enter a command. ‘A’ for adding a new number, ‘B’ for deleting, and ‘S’ for sorting.The minmum number of inter changes needed to convert the array 89,19,40,17,12,10,2,5,7,11,6,9,70 into a heap with maximum element at the root is A. 1 B. 2 C. 4 D. None of these
- Exercise 5 Mark and sweep is a technique in Garbage Collection to free all unreferenced objects.It works with three passes. First, for all objects in the system, if they have their mark bit set, it is cleared. The second pass traverses all pointers, starting at the accessible roots of a program (conventionally, globals, the stack, and registers) and for each object traversed it marks the object. The third pass walks the heap linearly again and removes all objects that are not marked. True or FalseThe heap sort uses a heap to sort a list of items. The strategy of this sort is to add the items in the list to a heap and then remove all of them from the heap as they are transferred back to the list. What is the run time and memory complexity of the heap sort?C++ PROGRAMMING: HEAPS Using the array-based implementation, complete the heap ADT in the arrayheap.h. void insert(int num) This will insert the num to the heap. This number shall be initially added in the last position and will constantly be compared to its parent and get swapped if the parent is greater. int removeMin() This will remove the root by it being replaced by the last position. Remember to store it to some temporary variable first and return it later. The replaced number will also have to be constantly compared to its children and swapped by the smaller element if it is smaller than the number. int size() This will simply return the number of elements currently in the heap. Given that this is an array, it must also be dynamic. If the array is full when attempting to add an element, increase the capacity of the memory by 50% (rounded up). For instance, the array of capacity 4 is already of size 4, we add 4 * 50% = 2 when we try to add an element. And so, the array…
- getMin(self) needs to return the minimum value in the heap _parent(self, index) it needs to return value of the parent of the element at the specific index _leftChild(self, index) and _right Child(self,index) return value of the left/right child of the element at the specific index insert(self, item) needs to insert an item into the heap while maintaining the minimum heap property. It must use the _parent method. Starter Code def __init__(self): self._heap=[] def __str__(self): return f'{self._heap}' __repr__=__str__ def __len__(self): return len(self._heap) @property def getMin(self): # YOUR CODE STARTS HERE pass def _parent(self,index): # YOUR CODE STARTS HERE pass def _leftChild(self,index): # YOUR CODE STARTS HERE pass def _rightChild(self,index): # YOUR CODE STARTS HERE pass def insert(self,item): # YOUR CODE STARTS HERE pass The…Given a sorted array of integers created on the heap, its size and a new integer, design a function which will enlarge the array and place the new item in the appropriate position in the array, so that it remains sorted. C++When I presented the Heap Data Structure, I explained how it stores its values in an array, A, but that A[0] is never used to store a value. Today I explained how heapsort can be used to sort an array of A values by first converting it into a heap. How does heapsort not "lose the value" that is stored in A[0]?