Queue in Data Structure

The queue data structure is linear. It follows the FIFO approach i.e. First In First Out or Last In Last Out.
In the queue, the order of insertion is the same as the order of deletion of elements because of the FIFO approach.

Queues are mostly used whenever there is a single resource and multiple users want to use that resource. For example, in threads and CPU scheduling algorithms.

A data structure queue is analogous to a queue in real life. For example, people waiting in a queue to buy movie tickets.

Representation of a Queue

Just like a stack, the queue is also an abstract data type but it follows the FIFO approach. In the queue, we always remove the least recently added element.

A queue is open at both ends, unlike a stack. Thus we perform deletion and insertion operations at two different ends in a queue.The two ends of the queue are the Front and Rear respectively.

Front points to the index of the queue from where we can delete an element. Rear points to that index of the queue from where we insert elements.

We can represent the queue as follows:

Types of Queue

There are various types of queue data structures such as:
1. Linear queue
2. Circular queue
3. Deque
4. Priority queue

Let us see each of them in detail now:

1. Linear queue

A linear queue is a simple queue in which insertion occurs at one end and deletion occurs at the other end.
In a linear queue, we are sometimes not able to utilize memory effectively. This is because insertion can be performed only at the rear end.

Basic operations on Linear Queue:

The basic operations that we can perform on a queue are:

a. en queue (): To insert an element into the queue.

b. dequeue(): To delete an element from a queue.

c. peek(): To print/display the element at the front without deleting it.

d. isfull(): To check if the queue is full or not.

e. isempty(): To check if the queue is empty or not.

Out of the given operations, the first two operations are the most important. The rest three are used to improve the efficiency of the first two operations while implementation.

Comments

Best digital marketing in Perth

Best digital marketing in Perth Introduction Your introduction into the brave new world of the digital space will be custom-tailored to your business needs requirements. You will be introduced to the crew who will be handling your project, from inception to the launch into the market. Assess It will be our job to not only know your customers but how they engage with the core products and brand relationships . From here we break down what we research, to identify the core elements needed to engage the customer. Create It’s imperative that the design of your vessel is done right from the start. Its shape, level of focus, and attention to detail are crucial for a prosperous, lucrative, and extended journey. We will always present concepts and suggestions as per the requirement, but we truly believe this process should be a collaborative one between the creative crew of the PWD and the client. The final form will dictate its progression into the development and manufacturing of your new

WHAT ARE NEURAL NETWORKS? | Comingfly

WHAT ARE NEURAL NETWORKS ? Neural Networks the process of machine learning are neural networks. These are brain-inspired networks of interconnected layers of algorithms, called neurons, that feed data into each other, and which can be trained to carry out specific tasks by modifying the importance attributed to input data as it passes between the layers. During training of these neural networks, the weights attached to different inputs will continue to be varied until the output from the neural network is very close to what is desired, at which point the network will have 'learned' how to carry out a particular task. A subset of machine learning is deep learning, where neural networks are expanded into sprawling networks with a huge number of layers that are trained using massive amounts of data. It is these deep neural networks that have fueled the current leap forward in the ability of computers to carry out task like speech recognition and computer vision. T he

Happiness is luck | Comingfly

** How to Always Choose Happiness. 1. Determine What Happiness Means to You “The greatest discovery of any generation is that a human can alter his life by altering his attitude.” 2. Understand How Happiness Works for You “Happiness is not a feeling it’s an action. In order to feel happy you have to do happy.” 3. Choose to Be Around the Right People “The people you surround yourself with influence your behaviors, so choose friends who have healthy habits.” 4. Commit to Helping Others “The purpose of life is not to be happy. It is to be useful, to be honorable, to be compassionate, to have it make some difference that you have lived and lived well.” 5. Choose to Take Care of You – Mind Body and Spirit “Self-care is a deliberate choice to gift yourself with people, places, things, events, and opportunities that recharge our personal battery and promote whole health—body, mind, and spirit.”

body-fitness Important of life | Comingfly

body-fitness Important of life In general, a strong candidate for the "best" title will be any easy-to-learn exercise that targets multiple muscle groups and gives you the practical strength and muscle tone to meet your fitness goals. Exercises that don't require fancy, expensive equipment earn extra credit. Here are seven of the best exercises for athletes and fitness junkies looking for a simple and effective full-body workout.

why we use Numpy in python

why we use NumPy in python NumPy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python . A powerful N-dimensional array object. Syntex:- import numpy arr = numpy.array([ 1 , 2 , 3 , 4 , 5 ]) print (arr) Output:- [1 2 3 4 5] NumPy is a basic level external library in Python used for complex mathematical operations. NumPy overcomes slower executions with the use of multi-dimensional array objects. It has built-in functions for manipulating arrays. We can convert different algorithms to can into functions for applying on arrays. NumPy arrays are faster and more compact than Python lists. An array consumes less memory and is convenient to use . NumPy uses much less memory to store data and it provides a mechanism of specifying the data types.

ArrayLinks

Search This Blog