# Stack and queue in data structure using c++ pdf tutorials point

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- Learn DS & Algorithms
- Data Structures & Algorithms Tutorial in PDF
- Data Structure and Algorithms - Stack
- Linked List vs Array

Abstract Data type ADT is a type or class for objects whose behaviour is defined by a set of value and a set of operations. The definition of ADT only mentions what operations are to be performed but not how these operations will be implemented. It does not specify how data will be organized in memory and what algorithms will be used for implementing the operations.

## Learn DS & Algorithms

It is named stack as it behaves like a real-world stack, for example — a deck of cards or a pile of plates, etc. A real-world stack allows operations at one end only. For example, we can place or remove a card or plate from the top of the stack only. Likewise, Stack ADT allows all data operations at one end only. At any given time, we can only access the top element of a stack. This feature makes it LIFO data structure. LIFO stands for Last-in-first-out.

Data Structure is a systematic way to organize data in order to use it efficiently. Following terms are the foundation terms of a data structure. Interface represents the set of operations that a data structure supports. An interface only provides the list of supported operations, type of parameters they can accept and return type of these operations. Implementation also provides the definition of the algorithms used in the operations of the data structure. As applications are getting complex and data rich, there are three common problems that applications face now-a-days.

## Data Structures & Algorithms Tutorial in PDF

Compiler Design Overview Tutorialspoint. Software Analysis Design Tools Tutorialspoint. System Development Life Cycle Tutorialspoint. Design Strategies Tutorialspoint. Sdlc Waterfall Model Tutorialspoint. Dbms Architecture Tutorialspoint. Software Engineering Overview Tutorialspoint.

Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way. This tutorial will give you a great understanding on Data Structures needed to understand the complexity of enterprise level applications and need of algorithms, and data structures. As applications are getting complex and data rich, there are three common problems that applications face now-a-days. If the application is to search an item, it has to search an item in 1 million 10 6 items every time slowing down the search. As data grows, search will become slower. To solve the above-mentioned problems, data structures come to rescue.

Our Data Structure tutorial is designed for beginners and professionals. The data structure name indicates itself that organizing the data in memory. There are many ways of organizing the data in the memory as we have already seen one of the data structures, i. Array is a collection of memory elements in which data is stored sequentially, i. In other words, we can say that array stores the elements in a continuous manner. This organization of data is done with the help of an array of data structures. There are also other ways to organize the data in memory.

## Data Structure and Algorithms - Stack

Both Arrays and Linked List can be used to store linear data of similar types, but they both have some advantages and disadvantages over each other. An array is the data structure that contains a collection of similar type data elements whereas the Linked list is considered as non-primitive data structure contains a collection of unordered linked elements known as nodes. In the array the elements belong to indexes, i. In a linked list though, you have to start from the head and work your way through until you get to the fourth element.

*Queue is an abstract data structure, somewhat similar to Stacks. Unlike stacks, a queue is open at both its ends.*

### Linked List vs Array

A computer program is a collection of instructions to perform a specific task. For this, a computer program may need to store data, retrieve data, and perform computations on the data. A data structure is a named location that can be used to store and organize data. And, an algorithm is a collection of steps to solve a particular problem.

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