Queue in DSA - Learn Programming Skills

 Introduction:

In computer programming, queues are an essential data structure that is widely used to manage a collection of elements. A queue is a data structure that follows the FIFO (First-In-First-Out) principle, which means that the element that is added first is the first one to be removed. Queues are used in many applications, such as messaging systems, task queues, and real-time systems. In C++, there are several types of queues that can be implemented using different data structures and algorithms. In this article, we will explore the different types of queues in C++ and their characteristics.
Queues are one of the fundamental data structures used in computer science and software engineering. They are used to manage collections of data in a first-in, first-out (FIFO) manner, meaning that the data items are removed from the queue in the order they were added. Queues have a rich history, dating back to the 1940s when computer scientists were first developing the foundations of modern computing. In this article, we will explore the history and importance of queues in computer science.

Queue in DSA
Queue in DSA 

History of Queues:
The history of queues can be traced back to the earliest days of computing, when computer scientists were first developing the concepts and algorithms that would form the foundation of modern computing. One of the first computer scientists to use queues was John von Neumann, who developed the von Neumann architecture, which is still used in modern computers today.
Von Neumann used queues to manage the flow of data within the computer, allowing different components to communicate with each other in a systematic and efficient manner. His work on the von Neumann architecture laid the foundation for modern computer science and engineering, and his use of queues played an important role in this development.
In the 1950s and 1960s, computer scientists continued to refine the concepts and algorithms related to queues, and they became an important tool in the development of computer software and operating systems. One of the most important early applications of queues was in the development of batch processing systems, which allowed large numbers of data processing tasks to be run on mainframe computers.
Over the years, the use of queues has continued to evolve and expand, and they have become an essential tool for managing complex data structures and processing large amounts of information in real-time. Today, queues are used in a wide variety of applications, including web servers, databases, and messaging systems.


Types Of Queue:

1. Standard Queue:

The standard queue is the simplest type of queue in C++, which is implemented using the deque (double-ended queue) data structure. The standard queue supports the basic operations of a queue, such as push, pop, front, and back. The push operation adds an element to the back of the queue, while the pop operation removes the front element of the queue. The front and back operations return the front and back elements of the queue, respectively. The standard queue does not support priority levels or custom ordering.

Example:
#include <queue>
#include <iostream>
using namespace std;
int main() {
    queue<int> q;
    // Add elements to the queue
    q.push(10);
    q.push(20);
    q.push(30);
    // Print the front and back elements of the queue
    cout << "Front element of the queue: " << q.front() << endl;
    cout << "Back element of the queue: " << q.back() << endl;
    // Remove the front element of the queue
    q.pop();
    // Print the new front element of the queue
    cout << "New front element of the queue: " << q.front() << endl;
    return 0;
}
Output:
Front element of the queue: 10
Back element of the queue: 30
New front element of the queue: 20

Queue in DSA
Types of Queues in DSA 

2. Priority Queue:

The priority queue is a type of queue in C++ that supports priority levels for its elements. The priority queue is implemented using a binary heap data structure, which is a complete binary tree in which the value of each node is greater than or equal to the values of its children. The priority queue orders its elements based on their priority levels, which are assigned when the elements are added to the queue. The highest priority element is always at the front of the queue and is the first one to be removed.
Example:
#include <queue>
#include <iostream>
using namespace std;
int main() {
    priority_queue<int> q;
    // Add elements to the priority queue
    q.push(10);
    q.push(20);
    q.push(30);
    // Print the top element of the priority queue
    cout << "Top element of the priority queue: " << q.top() << endl;
    // Remove the top element of the priority queue
    q.pop();
    // Print the new top element of the priority queue
    cout << "New top element of the priority queue: " << q.top() << endl;
    return 0;
}
Output:
Top element of the priority queue: 30
New top element of the priority queue: 20

3. Circular Queue:

The circular queue is a type of queue in C++ that is implemented using an array data structure. The circular queue allows elements to be added or removed from both ends of the queue, creating a circular structure. The circular queue is useful in situations where the queue needs to be processed repeatedly, as it allows for efficient use of memory and CPU resources.

Example:
#include <iostream>
using namespace std;
class CircularQueue {
private:
int front, rear;
int size;
int* arr;
public:
CircularQueue(int s) {
front = -1;
rear = -1;
size = s;
arr= new int[size];
}
bool isFull() {
    if ((front == 0 && rear == size - 1) || (rear == front - 1)) {
        return true;
    } else {
        return false;
    }
}
bool isEmpty() {
    if (front == -1) {
        return true;
    } else {
        return false;
    }
}
void enQueue(int data) {
    if (isFull()) {
        std::cout << "Queue is full\n";
    } else {
        if (front == -1) {
            front = 0;
        }
        rear = (rear + 1) % size;
        arr[rear] = data;
        std::cout << data << " has been added to the queue\n";
    }
}
int deQueue() {
    int data = arr[front];
    arr[front] = 0;
    if (front == rear) {
        front = -1;
        rear = -1;
    } else {
        front = (front + 1) % size;
    }
    return data;
}
void displayQueue() {
    if (isEmpty()) {
        std::cout << "Queue is empty\n";
    } else {
        std::cout << "Queue elements are: ";
        for (int i = front; i != rear; i = (i + 1) % size) {
            std::cout << arr[i] << " ";
        }
        std::cout << arr[rear] << std::endl;
    }
}
};
int main() {
CircularQueue q(5);
q.enQueue(10);
q.enQueue(20);
q.enQueue(30);
q.enQueue(40);
q.enQueue(50);
q.displayQueue();
q.deQueue();
q.deQueue();
q.displayQueue();
q.enQueue(60);
q.enQueue(70);
q.displayQueue();
return 0;
}
Output:
10 has been added to the queue
20 has been added to the queue
30 has been added to the queue
40 has been added to the queue
50 has been added to the queue
Queue elements are: 10 20 30 40 50
Queue elements are: 30 40 50
Queue is full

The importance of Queues:
Queues are an important data structure in computer science and software engineering. They are used to manage collections of data in a sequential manner and are essential in a variety of applications. Some of the important uses of queues are discussed below:
Operating Systems: Queues are used extensively in operating systems to manage processes, threads, and I/O operations. In these systems, processes and threads are added to queues and processed in the order they were added. I/O operations are also managed using queues, with requests added to a queue and processed by the operating system.
Networking: Queues are used in networking applications to manage the flow of data between devices. In these systems, packets are added to queues and transmitted in the order they were received. This allows network devices to handle large volumes of data and avoid data loss or corruption.
Simulation: Queues are used in simulations to model real-world systems. In these systems, events are added to queues and processed in the order they occur. This allows the simulation to accurately model the behavior of the system being simulated.
Algorithms: Queues are used in a variety of algorithms, including breadth-first search, sorting, and scheduling. In these algorithms, data items are added to queues and processed in the order they were added. This allows the algorithms to efficiently process large volumes of data.
Data Structures: Queues are also used in other data structures, such as stack and priority queues. In these data structures, queues are used as the underlying structure to manage the collection of data items.
Software Engineering: Queues are used in software engineering to manage tasks and messages between components of a system. In these systems, messages are added to queues and processed in the order they were received. This allows the components to communicate efficiently and avoid data loss or corruption.
Queues have become an essential part of modern computing and software engineering. They are used in a variety of applications and are essential for managing large volumes of data in a sequential manner. Without queues, many of the complex systems we use today would not be possible.

Operations On A Queue: 
Queues are a fundamental data structure that is widely used in computer science and software engineering. A queue is an ordered list of elements where elements are added at one end and removed from the other end. The operations on a queue are designed to manipulate the elements in the queue. In this article, we will discuss the important operations on queues in C++.
Enqueue – Adding an element to the queue
 In other words, it inserts an element at the end of the queue. This operation is also known as push. When an element is pushed into the queue, it becomes the last element in the queue. This operation increases the size of the queue by one.
Dequeue – Removing an element from the queue
 In other words, it removes the element that was added to the queue first. This operation is also known as pop. When an element is popped from the queue, the second element becomes the new front element. This operation decreases the size of the queue by one.
Front – Accessing the front element of the queue
The front operation returns the element at the front of the queue without removing it. It allows you to access the front element without actually removing it. This operation is useful when you need to peek at the element at the front of the queue before dequeuing it.
Size – Finding the number of elements in the queue
The size operation returns the number of elements in the queue. It is useful to know the size of the queue when performing operations that require a specific number of elements in the queue.
Empty – Checking if the queue is empty
 It is useful to check if the queue is empty before performing operations that require elements in the queue.
Clear – Removing all elements from the queue
The clear operation removes all elements from the queue. It resets the queue to its initial state.
Swap – Swapping the contents of two queues
This operation is useful when you need to switch the contents of two queues.
Emplace – Constructing an element in place
The emplace operation constructs an element in place at the end of the queue. This operation is similar to the push operation, but it constructs the element in place using its constructor.
Emplace Front – Constructing an element at the front of the queue
The emplace front operation constructs an element in place at the front of the queue. This operation is similar to the push operation, but it constructs the element in place using its constructor.
Back – Accessing the last element of the queue
The back operation returns the last element of the queue without removing it. It allows you to access the last element without actually removing it. This operation is useful when you need to peek at the last element of the queue.
In conclusion, queues are an important data structure that is widely used in computer science and software engineering. They provide a way to store and manipulate elements in an ordered list. The operations on queues in C++ are designed to add, remove, and access elements in the queue. These operations allow you to manipulate the queue in various ways, such as adding or removing elements, accessing the front or last element, and checking if the queue is empty. Understanding the operations on queues is essential to working with queues in C++ and implementing them in your programs.

Conclusion:
In conclusion, queues are an important data structure in computer programming that are widely used in many applications. In C++, there are several types of queues that can be implemented using different data structures and algorithms, such as the standard queue, priority queue, and circular queue. Each type of queue has its own characteristics, advantages, and disadvantages, which makes them suitable for different applications and use cases. Understanding the different types of queues in C++ is essential for developing efficient and reliable software systems.

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