In: Computer Science
A priority queue can be implemented as a heap because
a. The root can be easily be identified as the topmost priority.
b. The heap is not always sorted so any value can be the top priority.
c. The heap always has a left bottom node that can be the top priority.
d. None of the above.
One of the important variation in Queue is Priority Queue.
A Priority Queue can be implemented as a heap because The root can be easily be identifies as the topmost priority.
So the answer is option A.
In priority Queue, there are two types of Priority queues
Max heap and Min heap Priority queues.These Priority queues can is a useful data structure which is used in many algorithms like Dijkstra’s shortest path algorithm, Huffman algorithm.
The implementation of a priority queue by data structure is called as Binary Heap.
The Binary Heap consists of two types of heaps Max heap and Min heap.
In Min heap, the minimum element is always at the front. Whereas in Max heap, the Maximum element will be in the front.
There are 4 operations of a Priority queue:
>Insert
>maximum and minimum
>Extract minimum and maximum
>Increase/ Decrease
Insert is the operation -To insert an element in to the Queue.
MAximum and minimum operation does-To get the maximum element from max Prioriry Queue and minumum element from the minimum priority Queue.
Extract minimum and maximum does -To remove and return the maximum and minimum element from the max and min priority queue.
Increase/ Decrease does -To increase or decrease key of any element in the queue.
In any tree, there are root, child nodes, and leaf nodes.
In priority queue, the root must be identified in the top most priority.
Coming to Heaps, A heap is a specific tree based data structure in which all the nodes of tree are in a specific order.
We can use heaps in sorting the elements in a specific order in efficient time.
Heap sorts are used in sorting the elements in heap.
These are about A Priority Queue that can be implemeted as the
Heap, so that the roort can be identified in the topmost
priority.