Implement Queue using Stacks
A Queue is defined by its property of FIFO, which means First in First Out, i.e the element which is added first is taken out first. This behaviour defines a queue, whereas data is actually stored in an array or a list in the background.
What we mean here is that no matter how and where the data is getting stored, if the first element added is the first element being removed and we have implementation of the functions enqueue() and dequeue() to enable this behaviour, we can say that we have implemented a Queue data structure.
In our previous tutorial, we used a simple array to store the data elements, but in this tutorial we will be using Stack data structure for storing the data.
While implementing a queue data structure using stacks, we will have to consider the natural behaviour of stack too, which is First in Last Out.
For performing enqueue we require only one stack as we can directly push data onto the stack, but to perform dequeue we will require two Stacks, because we need to follow queue's FIFO property and if we directly pop any data element out of Stack, it will follow LIFO approach(Last in First Out).
Implementation of Queue using Stacks
In all we will require two Stacks to implement a queue, we will call them S1 and S2.
class Queue {
public:
Stack S1, S2;
//declaring enqueue method
void enqueue(int x);
//declaring dequeue method
int dequeue();
}
In the code above, we have simply defined a class Queue, with two variables S1 and S2 of type Stack.
We know that, Stack is a data structure, in which data can be added using push() method and data can be removed using pop() method.
You can find the code for Stack class in the Stack data structure tutorial.
To implement a queue, we can follow two approaches:
1. Making the Enqueue operation costly
In this approach, we make sure that the oldest element added to the queue stays at the top of the stack, the second oldest below it and so on.
To achieve this, we will need two stacks. Following steps will be involved while enqueuing a new element to the queue.
NOTE: First stack(S1) is the main stack being used to store the data, while the second stack(S2) is to assist and store data temporarily during various operations.
This makes removing an element from the queue very simple, all we have to do is call the pop() method for stack S1.
2. Making the Dequeue operation costly
In this approach, we insert a new element onto the stack S1 simply by calling the push() function, but doing so will will push our first element towards the bottom of the stack, as we insert more elements to the stack.
But we want the first element to be removed first. Hence in the dequeue operation, we will have to use the second stack S2.
We will have to follow the following steps for dequeue operation:
NOTE: We will be implementing the second approach, where we will make the dequeue() method costly.
Adding Data to Queue - enqueue()
As our Queue has a Stack for data storage instead of arrays, hence we will be adding data to Stack, which can be done using the push() method, therefore enqueue() method will look like:
void Queue :: enqueue(int x)
{
S1.push(x);
}
That's it, new data element is enqueued and stored in our queue.
Removing Data from Queue - dequeue()
When we say remove data from Queue, it always means taking out the element which was inserted first into the queue, then second and so on, as we have to follow the FIFO approach.
But if we simply perform S1.pop() in our dequeue method, then it will remove the Last element inserted into the queue first. So what to do now?
As you can see in the diagram above, we will move all the elements present in the first stack to the second stack, and then remove the top element, after that we will move back the elements to the first stack.
int Queue :: dequeue()
{
int x, y;
while(S1.isEmpty())
{
// take an element out of first stack
x = S1.pop();
// insert it into the second stack
S2.push();
}
// removing the element
y = S2.pop();
// moving back the elements to the first stack
while(!S2.isEmpty())
{
x = S2.pop();
S1.push(x);
}
return y;
}
Now that we know the implementation of enqueue() and dequeue() operations, let's write a complete program to implement a queue using stacks.
Implementation in C++(OOPS)
We will not follow the traditional approach of using pointers, instead we will define proper classes, just like we did in the Stack tutorial.
/* Below program is written in C++ language */
# include<iostream>
using namespace std;
// implementing the stack class
class Stack
{
int top;
public:
int a[10]; //Maximum size of Stack
Stack()
{
top = -1;
}
// declaring all the function
void push(int x);
int pop();
bool isEmpty();
};
// function to insert data into stack
void Stack::push(int x)
{
if(top >= 10)
{
cout << "Stack Overflow \n";
}
else
{
a[++top] = x;
cout << "Element Inserted into Stack\n";
}
}
// function to remove data from the top of the stack
int Stack::pop()
{
if(top < 0)
{
cout << "Stack Underflow \n";
return 0;
}
else
{
int d = a[top--];
return d;
}
}
// function to check if stack is empty
bool Stack::isEmpty()
{
if(top < 0)
{
return true;
}
else
{
return false;
}
}
// implementing the queue class
class Queue {
public:
Stack S1, S2;
//declaring enqueue method
void enqueue(int x);
//declaring dequeue method
int dequeue();
};
// enqueue function
void Queue :: enqueue(int x)
{
S1.push(x);
cout << "Element Inserted into Queue\n";
}
// dequeue function
int Queue :: dequeue()
{
int x, y;
while(!S1.isEmpty())
{
// take an element out of first stack
x = S1.pop();
// insert it into the second stack
S2.push(x);
}
// removing the element
y = S2.pop();
// moving back the elements to the first stack
while(!S2.isEmpty())
{
x = S2.pop();
S1.push(x);
}
return y;
}
// main function
int main()
{
Queue q;
q.enqueue(10);
q.enqueue(100);
q.enqueue(1000);
cout << "Removing element from queue" << q.dequeue();
return 0;
}
And that's it, we did it.