A queue is a fundamental data structure in computer science and programming that follows the First-In, First-Out (FIFO) principle. In a queue, elements are added at one end, called the "rear" or "tail," and removed from the other end, called the "front" or "head." This ensures that the first element added to the queue is the first to be removed, similar to waiting in a line or queue in the real world. Queues are used to manage data in a way that maintains a strict order and provides efficient access to elements.
Key characteristics of a queue include:
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Enqueue Operation: Adding an element to the rear of the queue is called an "enqueue" operation. This places the new element at the end of the queue, making it the most recently added element.
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Dequeue Operation: Removing an element from the front of the queue is called a "dequeue" operation. This retrieves the element at the front and removes it from the queue.
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Peek Operation: Examining the front element of the queue without removing it is called a "peek" operation. It allows you to access the front element without altering the queue's contents.
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Fixed Size: Queues are often implemented with a fixed size, and attempting to enqueue an element onto a full queue or dequeue from an empty queue may result in an error.
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Linear Data Structure: Queues are linear data structures, which means that elements are arranged in a sequential, one-dimensional manner.
Queues are used in various applications, including:
- Managing tasks in a print spooler, where the first document to be added is the first to be printed.
- Implementing breadth-first search in graph algorithms.
- Handling tasks in job scheduling and task processing systems.
- Managing requests and events in computer networking and operating systems.
Queues can be implemented using various data structures, with the two most common approaches being:
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Array-Based Queue:
- An array is used to store the elements of the queue.
- Two integer variables are used to keep track of the front and rear of the queue.
- Enqueuing an element involves incrementing the rear index and placing the new element at that index.
- Dequeuing an element involves accessing the element at the front index, then incrementing the front index.
- The queue's size is limited by the size of the array, and it may need to be resized if the queue becomes full.
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Linked List-Based Queue:
- A linked list is used to implement the queue, where each node contains an element and a reference to the next node.
- Two pointers are used to represent the front and rear of the queue. The front pointer points to the first node, and the rear pointer points to the last node.
- Enqueuing an element involves creating a new node with the new element, updating the rear pointer to point to this new node, and adjusting the next reference of the previous last node.
- Dequeuing an element involves removing the current front node, updating the front pointer to point to the next node, and freeing the memory of the removed node.
- The linked list-based queue can dynamically grow and shrink as needed.
The choice between an array-based and a linked list-based queue depends on the specific requirements of the application and the available memory resources. Both implementations maintain the FIFO property, making it easy to manage data in a way that follows the queue principle.
Here's a simple queue implementation in Python using a list:
queue = []
queue.append(1) # Enqueue 1
queue.append(2) # Enqueue 2
dequeued_element = queue.pop(0) # Dequeue the first element (1)