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Queue
The Queue
Another form of restricted list
Insertion is done at one end, whereas deletion is performed at the other end
Basic operations:
enqueue: insert an element at the rear of the list
dequeue: delete the element at the front of the list
First-in First-out (FIFO) list
Circular Queue
Circular Queue
Circular Queue
Circular Queue
Circular Queue Operations
• Queue Front: Get the front item from queue with
retaining it.
• Queue Rear: Get the last item from queue with
retaining it.
• enQueue(value) This function is used to insert an
element into the circular queue. In a circular queue, the
new element is always inserted at Rear position.
• deQueue() This function is used to delete an element
from the circular queue. In a circular queue, the
element is always deleted from front position.
Consider a linked queue having 3 data elements 3, 17, 43,
respectively. It arranges all these elements according to
priority. Since 2 is smaller(Higher priority) than the element
at the front (head) node, insertion from the front will be more
efficient.
For instance, say you want to insert a node consisting of
element 45. Here, it will compare element 45 with each
element inside the queue.

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Queue Data Structure: FIFO List with Enqueue and Dequeue Operations

  • 2. The Queue Another form of restricted list Insertion is done at one end, whereas deletion is performed at the other end Basic operations: enqueue: insert an element at the rear of the list dequeue: delete the element at the front of the list First-in First-out (FIFO) list
  • 3.
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  • 23.
  • 24. Circular Queue Operations • Queue Front: Get the front item from queue with retaining it. • Queue Rear: Get the last item from queue with retaining it. • enQueue(value) This function is used to insert an element into the circular queue. In a circular queue, the new element is always inserted at Rear position. • deQueue() This function is used to delete an element from the circular queue. In a circular queue, the element is always deleted from front position.
  • 25.
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  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40. Consider a linked queue having 3 data elements 3, 17, 43, respectively. It arranges all these elements according to priority. Since 2 is smaller(Higher priority) than the element at the front (head) node, insertion from the front will be more efficient.
  • 41. For instance, say you want to insert a node consisting of element 45. Here, it will compare element 45 with each element inside the queue.