×

Stack Using Linked List

In the linked list implementation of the stack, we use a linked list as the primitive data structure to create the stack. It is called the dynamic implementation of the stack because here, we do not fix the size of the stack, and it can be increased as much as we want during run time.

Here, the top pointer stores the address of the top element of the stack. As the stack size is not fixed, there is no such stack overflow condition. The stack underflow is determined if the top pointer points to the NULL value. The element is added to the top of the stack and removed from the top of the stack as it is done in the array implementation of the stack.

Stack Using Linked List

Here, we always need to care for the pointers during push and pop operations. We cannot unlink any node anyhow. If somehow, we unlink any node, we can never access that particular node or element, and it will be lost forever.

C++ program to implement the stack using linked list:

// Including header files
#include <iostream>
using namespace std;


// Defining the structure of the node
struct node
{
    int data;
    struct node *next;
};


// Creating the top pointer
struct node *top = NULL;


// Push function to add an element at the top of the stack
void push(int value)
{
    struct node *newnode = (struct node *)malloc(sizeof(struct node));
    newnode->data = value;
    newnode->next = top;
    top = newnode;
}


// Pop operation to remove the top element of the stack
void pop()
{
    if (top == NULL)
    {
        cout << "No elements in the stack 'Underflow!'" << endl;
    }
    else
    {
	  Struct node *temp = top;
        cout << "The popped element is " << temp->data << endl;
        top = top->next;
        free(temp);
    }
}


// Function to traverse all the elements of the stack
void traverse()
{
    struct node *temp;
    if (top == NULL)
    {
        cout << "Stack is empty" << endl;
    }
    else
    {
        temp = top;
        cout << "Elements in the stack are ";
        while (temp != NULL)
        {
            cout << temp->data << " ";
            temp = temp->next;
        }
        cout << endl;
    }
}


// Function to search for an element in the stack
void search_in_stack(int value)
{
    struct node *temp = top;
    if (temp == NULL)
    {
        cout << "No element to search. Stack is empty!" << endl;
    }
    else
    {
        while (temp != NULL)
        {
            if (temp->data == value)
            {
                cout << value << " is present in the stack!" << endl;
                return;
            }
            temp = temp->next;
        }
        cout << value << " is not present in the stack!" << endl;
    }
}


// Driver function
int main()
{


    cout << "Enter 1 to push an element in the stack." << endl;
    cout << "Enter 2 to pop an element from the stack." << endl;
    cout << "Enter 3 to search for an element in the stack." << endl;
    cout << "Enter 4 to traverse all the elements of the stack." << endl;
    cout << "Enter 5 to exit from the program." << endl;


    int choice, x;
    do
    {
        cout << "Enter your choice : ";
        cin >> choice;


        switch (choice)
        {
        case 1:
            cout << "Enter the value to push in the stack : ";
            cin >> x;
            push(x);
            break;
        case 2:
            pop();
            break;
        case 3:
            cout << "Enter the value to search in the stack : ";
            cin >> x;
            search_in_stack(x);
            break;
        case 4:
            traverse();
            break;
        case 5:
            cout << "Exited Successfully!";
            break;
            ;
        default:
            cout << "Wrong choice!" << endl;
            break;
        }


    } while (choice != 5);


    return 0;
}

The sample output of the above program is given below:

Enter 1 to push an element in the stack : 
Enter 2 to pop an element from the stack : 
Enter 3 to search for an element in the stack :
Enter 4 to traverse all the elements of the stack :
Enter 5 to exit from the program :
Enter your choice : 1
Enter the value to push in the stack : 22
Enter your choice : 1
Enter the value to push in the stack : 34
Enter your choice : 1
Enter the value to push in the stack : 56
Enter your choice : 1
Enter the value to push in the stack : 23
Enter your choice : 1
Enter the value to push in the stack : 12
Enter your choice : 4
Elements in the stack are 12 23 56 34 22 
Enter your choice : 2
The popped element is 12
Enter your choice : 4
Elements in the stack are 23 56 34 22 
Enter your choice : 3
Enter the value to search in the stack : 34
34 is present in the stack!
Enter your choice : 3
Enter the value to search in the stack : 44
44 is not present in the stack!
Enter your choice : 5
Exited Successfully!

Let us understand the above code step by step:

  • Structure of the node – Here, we have defined the structure of the node such that it can store an integer value and the address of the node of the type struct node. The struct node *next pointer is only capable of pointing to the node of the type struct node.
struct node
{
    int data;
    struct node *next;
};
  • PUSH Operation – As we know, push operation is used to add elements at the top of the stack. In the first line of the PUSH function, we are allocating memory of the size struct node, and its address will be stored in the *newnode pointer. We have defined its type as struct node, which means it can store the node's address of the type struct node. In the second line, we are storing the value, and in the third line, we are linking our new node with the stack. It will also work if the stack is empty and newnode -> next will store a NULL value. In the last line, we are making our newly added node the top element of the stack by storing its address in the top pointer.
void push(int value)
{
    struct node *newnode = (struct node *)malloc(sizeof(struct node));
    newnode->data = value;
    newnode->next = top;
    top = newnode;
}
  • POP Operation – The POP operation is used to remove the top element of the stack. In the code of the POP function, we first check whether the stack is empty or not, and here, the if-block is doing the same job. If the top pointer is pointing to the NULL value, it means the stack is empty, and we can’t pop an element from it. In the else-block, we store the address of the top pointer in the temp pointer and print the value stored in it. After that, we make the very next node the top element of the stack. And in the last, we are freeing the memory allocated to the node pointed by the temp pointer.
void pop()
{
    if (top == NULL)
    {
        cout << "No elements in the stack 'Underflow!'" << endl;
    }
    else
    {
	  Struct node *temp = top;
        cout << "The popped element is " << temp->data << endl;
        top = top->next;
        free(temp);
    }
}
  • Stack Traversal – In stack traversal, we traverse all nodes starting from the top node to the last node. In the code of the traverse function, we store the address of the top pointer in the temp pointer and start traversing. We first check whether the stack is empty or not. If not, we print the value stored in the node pointed by the temp pointer and update the address stored in the temp pointer. We traverse the nodes until the temp pointer starts pointing to the NULL value.
void traverse()
{
    struct node *temp;
    if (top == NULL)
    {
        cout << "Stack is empty" << endl;
    }
    else
    {
        temp = top;
        cout << "Elements in the stack are ";
        while (temp != NULL)
        {
            cout << temp->data << " ";
            temp = temp->next;
        }
        cout << endl;
    }
}
  • Searching in Stack – To search for an element in the stack, we traverse all the nodes and match the value with all the stored values. In the if-block, we check whether the stack is empty or not. If yes, we return from the function and print “No element to search. Stack is empty!”.  In the else part, the while condition will be true when the temp pointer will point to the NULL value. In the while loop, we first check the value with the value stored in the node pointed by the temp pointer. If the value matches, we will return from the function and print “The value is present in the stack”. If not, we update the temp pointer, and the temp pointer will start pointing to the next node. At the end of the while loop, we can say the value is not present in the stack and will complete the execution.
void search_in_stack(int value)
{
    struct node *temp = top;
    if (temp == NULL)
    {
        cout << "No element to search. Stack is empty!" << endl;
    }
    else
    {
        while (temp != NULL)
        {
            if (temp->data == value)
            {
                cout << value << " is present in the stack!" << endl;
                return;
            }
            temp = temp->next;
        }
        cout << value << " is not present in the stack!" << endl;
    }
}

Related Topics

Polish Notation in Data Structures

Arithmetic Expression: An arithmetic expression is defined as several operands or data items combined using several operators. For example; a+b*(c-d) is an expression. Operands: Operands represent the data in an expression...

2 minutes read.

Function to Insert a Node in a Binary Search Tree

Implementation // writing C++ code that will help us in implementing the insertion operation in a binary search tree. #include <bits/stdc++.h> using namespace std; // creating a new binary search tree node struct __nod { int...

8 minutes read.

Time Complexity of Selection Sort in Data Structure

What is Time Complexity? The term “Time complexity” can be defined as the number of times executions made of a particular sequence of instructions and not the total amount of time...

3 minutes read.

Convert Sorted List to Binary Search Tree

Implementation // creating the C++ implementation of the following approach: - #include <bits/stdc++.h> using namespace std; /* Create the link list node and see its implementation. */ class L__Nod { public: int record; L__Nod* next; }; /* constructing a new binary...

15 minutes read.

Preorder Traversal of Binary Trees

In general, Stack, Array, Queue, and other linear data structures only have one way to traverse the data. However, there are numerous ways to traverse through the data in a hierarchical...

3 minutes read.

Trim a binary search tree

Implementation //writing a C++ program will help us eliminate the keys that are out of the league.  #include<bits/stdc++.h> using namespace std; //we are now creating a binary search tree node consisting of key left...

8 minutes read.

Insertion in B+ Tree

We will learn how to insert a node in the B+ tree and what are the different properties we are going to follow. Except for the root node, every node should...

5 minutes read.

Linear Search

Searching: In the data structure, searching is the process in which an element is searched in a list that satisfies one or more than one condition. Types of searching There are two...

4 minutes read.

Delete the Middle element of the Linked List in C

Delete the Middle element of the Linked List in C This article has given a singly linked list and will delete the middle element of the given linked list. Example:  The given...

3 minutes read.

What Is Graph Data Structure

A graph is generally a set of vertices and edges or border that is mainly used to join these vertices. A graph is basically pictured as a cyclic tree in...

7 minutes read.

Finding the Maximum Element in a Binary Tree

Implementation // Creating a C++ program to excavate the minimum and maximum in a given binary tree. #include <bits/stdc++.h> #include <iostream> using namespace std; // creating a new tree node. class __nod { public: int record; __nod *Lft, *Rt; /*...

4 minutes read.

Linear vs Circular Queue: Data Structure

Difference Between Linear and Circular Queue What is Linear Queue? A linear queue is linear data structure which works on first in first out principle. We can say a linear queue is...

3 minutes read.

Union and Intersection of two Linked Lists

Union and Intersection of two Linked Lists This article explains how we can do the union and intersection of two linked lists. In this problem, we have given two linked lists...

3 minutes read.

Left View of Binary Tree

Implementation // creating a C++ program to print the Left view of the binary tree. #include <bits/stdc++.h> using namespace std; struct Nod { int record; struct Nod *Lft, *Rt; }; // creating a utility function that will eventually help...

4 minutes read.

Bubble sort algorithm using Javascript

Sorting is a very useful technique in many algorithms and programs. Basically, sorting operations help us to arrange a set of data in a particular manner. Bubble sort is one...

3 minutes read.

Operations on 1D-Arrays

One Dimensional Array Operations Basic Methods The fundamental operations enabled by an array are listed below. Traverse prints each element of the array one by one.Insert a new element at the specified index.Delete...

8 minutes read.

Heap Sort vs Merge Sort

In this article, we are going to discuss the Heap Sort, Merge sort and the difference between them. What is Heap Sort? Heap – A heap is an abstract data type categorised...

7 minutes read.

What is the Use of Segment Trees in Data Structure?

Segment trees Segment trees are also called statistical trees in computer science. They are a type of tree data structure. Segment trees are used to store information regarding segments and intervals....

6 minutes read.

Introduction to Arrays

What exactly is an array? A group of related data pieces stored in contiguous memory regions is referred to as an array. It is the most basic data structure in which...

5 minutes read.

Recursion in Fibonacci

Fibonacci heap is considered to be a particular execution of the heap data structure that ultimately helps in making use of not just any number but the Fibonacci numbers. It...

3 minutes read.