4.10 Queues

Like the stack, the queue is a list-like structure that provides restricted access to its elements. Queue elements may only be inserted at the back (called an enqueue operation) and removed from the front (called a dequeue operation). Queues operate like standing in line at a movie theater ticket counter. If nobody cheats, then newcomers go to the back of the line. The person at the front of the line is the next to be served. Thus, queues release their elements in order of arrival. In Britain, a line of people is called a “queue”, and getting into line to wait for service is called “queuing up”. Accountants have used queues since long before the existence of computers. They call a queue a “FIFO” list, which stands for “First-In, First-Out”. Here is a sample queue ADT. This section presents two implementations for queues: the array-based queue and the linked queue.

interface Queue extends Collection:
    enqueue(x)  // Enqueues x at the end of the queue.
    dequeue()   // Dequeues the frontmost element.
    peek()      // Returns the frontmost element, without removing it.

4.10.1 Array-Based Queues

The array-based queue is somewhat tricky to implement effectively. A simple conversion of the array-based list implementation is not efficient.

4.10.1.1 The Circular Queue

If the value of front is fixed, then n+1n+1 different values for rear are needed to distinguish among the n+1n+1 states. However, there are only nn possible values for rear unless we invent a special case for, say, empty queues. This is an example of the Pigeonhole Principle. The Pigeonhole Principle states that, given nn pigeonholes and n+1n+1 pigeons, when all of the pigeons go into the holes we can be sure that at least one hole contains more than one pigeon. In similar manner, we can be sure that two of the n+1n+1 states are indistinguishable by the nn relative values of front and rear. We must seek some other way to distinguish full from empty queues.

One obvious solution is to keep an explicit count of the number of elements in the queue, or at least a Boolean variable that indicates whether the queue is empty or not. Another solution is to make the array be of size n+1n+1, and only allow nn elements to be stored. A third solution is to set front and rear to –1 when the queue becomes empty. Which of these solutions to adopt is purely a matter of the implementor’s taste in such affairs. Our choice here is to keep an explicit count of the number of elements, in the variable queueSize, because this will make the code more similar to our list and stack implementations.

4.10.1.2 Array-based Queue Implementation

In this implementation, the front of the queue is defined to be toward the lower numbered positions in the array (in the counter-clockwise direction in the circular array), and the rear is defined to be toward the higher-numbered positions. Thus, enqueue increments the rear pointer (modulus the size of the internal array), and dequeue increments the front pointer.

class DynamicArrayQueue implements Queue:
    DynamicArrayQueue():
        this.internalArray = new Array(8)  // Internal array containing the queue elements
        this.queueSize = 0                 // Size of queue, and index of the next free slot
        this.front = 0                     // Index of front element
        this.rear = -1                     // Index of rear element

Implemening the member functions is mostly straightforward.

4.10.1.3 Enqueueing an element

When enqueueing, we increase the rear pointer (modulo the size of the internal array to make it circular).

class DynamicArrayQueue implements Queue:
    ...
    enqueue(x):
        if this.queueSize >= this.internalArray.size():
            this.resizeArray(this.internalArray.size() * 2)
        this.rear = (this.rear + 1) % this.internalArray.size()  // Circular increment
        this.internalArray[this.rear] = x
        this.queueSize = this.queueSize + 1

4.10.1.4 Dequeueing an element

When dequeueing, we increase the front pointer (modulo the size of the internal array).

class DynamicArrayQueue implements Queue:
    ...
    dequeue():
        precondition: this.queueSize > 0
        this.queueSize = this.queueSize - 1
        x = this.internalArray[this.front]
        this.internalArray[this.front] = null  // For garbage collection
        this.front = (this.front + 1) % this.internalArray.size()  // Circular increment
        if this.queueSize <= this.internalArray.size() * 1/3:
            this.resizeArray(this.internalArray.size()) * 1/2
        return x

4.10.1.5 Resizing the internal array

When we resize the internal array, we cannot keep the positions of the elements. If the queue is wrapped around (i.e., if rear < front) then we might end up in a large gap in the middle of the queue.

Instead we reset the front and rear pointers so that we copy the first queue element to position 0 of the new array, the second to position 1, etc. Apart from that, the implementation is similar to the one for lists and queues.

class DynamicArrayQueue implements Queue:
    ...
    resizeArray(newCapacity):
        newArray = new Array(newCapacity)
        for i in 0 to this.queueSize-1:
            j = (i + this.front) % this.internalArray.size()
            newArray[i] = this.internalArray[j]
        this.internalArray = newArray
        this.front = 0
        this.rear = this.queueSize-1

4.10.1.6 Array-based Queue Practice Exercises

4.10.2 Linked Queues

The linked queue implementation is an adaptation of the linked list. The only thing is that we have to add a pointer to the rear node in the queue, to be able to add new elements efficiently.

class LinkedQueue implements Queue:
    LinkedQueue():
        this.front = null   // Pointer to front queue node
        this.rear = null    // Pointer to rear queue node
        this.queueSize = 0  // Size of queue

4.10.2.1 Enqueueing Elements

class LinkedQueue implements Queue:
    ...
    enqueue(x):
        newRear = new Node(x, null)
        if this.queueSize == 0:
            this.front = newRear
        else:
            this.rear.next = newRear
        this.rear = newRear
        this.queueSize = this.queueSize + 1

4.10.2.2 Dequeueing Elements

class LinkedQueue implements Queue:
    ...
    dequeue():
        precondition: this.queueSize > 0
        removed = this.front
        this.front = removed.next
        removed.next = null  // For garbage collection
        this.queueSize = this.queueSize - 1
        if this.queueSize == 0:
            this.rear = null
        return removed.elem

4.10.3 Comparison of Array-Based and Linked Queues

All member functions for both the array-based and linked queue implementations require constant time. The space comparison issues are the same as for the equivalent stack implementations.

Unlike the array-based stack implementation, there is no convenient way to store two queues in the same array, unless items are always transferred directly from one queue to the other.