Applications of Max-Heap Data Structure

Max-Heap Data structure in Different languages:

1. Max-Heap in C++...

Difference between Max and Min Heap

Min Heap Max Heap 1. In a Min-Heap the key present at the root node must be less than or equal to among the keys present at all of its children. In a Max-Heap the key present at the root node must be greater than or equal to among the keys present at all of its children. 2. In a Min-Heap the minimum key element present at the root. In a Max-Heap the maximum key element present at the root. 3. A Min-Heap uses the ascending priority. A Max-Heap uses the descending priority. 4. In the construction of a Min-Heap, the smallest element has priority. In the construction of a Max-Heap, the largest element has priority. 5. In a Min-Heap, the smallest element is the first to be popped from the heap. In a Max-Heap, the largest element is the first to be popped from the heap....

Internal Implementation of Max-Heap Data Structure:

A Min heap is typically represented as an array.  The root element will be at Arr[0].  For any ith node Arr[i]. left child is stored at index 2i+1 Right child is stored at index 2i+2 Parent is stored at index floor((i-1)/2)...

Operations on Max-heap Data Structure and their Implementation:

Here are some common operations that can be performed on a Heap Data Structure data structure,...

1. Insertion in Max-Heap Data Structure:

Elements can be inserted to the heap following a similar approach as discussed above for deletion. The idea is to:...

2. Deletion in Max-Heap Data Structure:

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3. Peek operation on Max-heap Data Structure:

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4. Heapify operation on Max-heap Data Structure:

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5. Search operation on Max-heap Data Structure:

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Applications of Max-Heap Data Structure:

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Advantages of Max-Heap Data Structure:

Deleting an element at any intermediary position in the heap can be costly, so we can simply replace the element to be deleted with the last element and delete the last element of the Heap....