Check if a queue can be sorted into another queue using a stack

Delete middle element of a stack

Last Updated : 12 Apr, 2025

Try it on GfG Practice

Given a stack with push(), pop(), and empty() operations, The task is to delete the middle element of it without using any additional data structure.

Input: s = [10, 20, 30, 40, 50]
Output: [50, 40, 20, 10]
Explanation: The bottom-most element will be 10 and the top-most element will be 50. Middle element will be element at index 3 from bottom, which is 30. Deleting 30, stack will look like [10, 20, 40, 50].
Input: s = [5, 8, 6, 7, 6, 6, 5, 10, 12, 9]
Output: [9, 12, 10, 5, 6, 7, 6, 8, 5]

Table of Content

Approach - Using Vector - O(n) Time and O(n) Space
[Expected Approach 1] - Using Recursion - O(n) Time and O(n) Space
[Expected Approach 2] - Using Stack - O(n) Time and O(n) Space

Approach - Using Vector - O(n) Time and O(n) Space

The idea for this approach is that we just put all the elements of stack into a vector, then traverse over the vector and push the elements back into stack, ignoring the mid element for even (n/2) and for odd (ceil(n/2)).

C++

#include <iostream>
#include <stack>
#include <vector>
using namespace std;

void deleteMid(stack<int>& st, int size) {
    // Use a vector to store stack elements
    vector<int> v;
    while(!st.empty()) {
        v.push_back(st.top());
        st.pop();
    }

    // Find the middle index
    int mid = size / 2;

    // Remove the middle element
    v.erase(v.begin() + mid);

    // Push elements back to the stack
    for(int i = v.size() - 1; i >= 0; i--) {
        st.push(v[i]);
    }
}

int main() {
    stack<int> st;
    st.push(10);
    st.push(20);
    st.push(30);
    st.push(40);
    st.push(50);

    int size = st.size();

    deleteMid(st, size);

    while (!st.empty()) {
        int p = st.top();
        st.pop();
        cout << p << " ";
    }
    
    return 0;
}

Java

import java.util.*;

public class GfG {
    public static void deleteMid(Stack<Integer> st, int size) {
        // Use an ArrayList to store stack elements
        ArrayList<Integer> v = new ArrayList<>();
        while (!st.isEmpty()) {
            v.add(st.pop());
        }

        // Find the middle index
        int mid = size / 2;

        // Remove the middle element
        v.remove(mid);

        // Push elements back to the stack
        for (int i = v.size() - 1; i >= 0; i--) {
            st.push(v.get(i));
        }
    }

    public static void main(String[] args) {
        Stack<Integer> st = new Stack<>();
        st.push(10);
        st.push(20);
        st.push(30);
        st.push(40);
        st.push(50);

        int size = st.size();

        deleteMid(st, size);

        while (!st.isEmpty()) {
            int p = st.pop();
            System.out.print(p + " ");
        }
    }
}

Python

from collections import deque

def delete_mid(st):
    # Use a list to store stack elements
    v = []
    while st:
        v.append(st.pop())

    # Find the middle index
    mid = len(v) // 2

    # Remove the middle element
    v.pop(mid)

    # Push elements back to the stack
    for i in range(len(v) - 1, -1, -1):
        st.append(v[i])

if __name__ == '__main__':
    st = deque()
    st.append(10)
    st.append(20)
    st.append(30)
    st.append(40)
    st.append(50)

    delete_mid(st)

    while st:
        print(st.pop(), end=' ')

C#

using System;
using System.Collections.Generic;

class GfG {
    public static void DeleteMid(Stack<int> st, int size) {
        // Use a list to store stack elements
        List<int> v = new List<int>();
        while (st.Count > 0) {
            v.Add(st.Pop());
        }

        // Find the middle index
        int mid = size / 2;

        // Remove the middle element
        v.RemoveAt(mid);

        // Push elements back to the stack
        for (int i = v.Count - 1; i >= 0; i--) {
            st.Push(v[i]);
        }
    }

    static void Main() {
        Stack<int> st = new Stack<int>();
        st.Push(10);
        st.Push(20);
        st.Push(30);
        st.Push(40);
        st.Push(50);

        int size = st.Count;

        DeleteMid(st, size);

        while (st.Count > 0) {
            Console.Write(st.Pop() + " ");
        }
    }
}

JavaScript

function deleteMid(st) {
    let v = [];
    while (st.length > 0) {
        v.push(st.pop());
    }
    let mid = Math.floor(v.length / 2);
    v.splice(mid, 1);
    for (let i = v.length - 1; i >= 0; i--) {
        st.push(v[i]);
    }
}

const st = [10, 20, 30, 40, 50];
deleteMid(st);

let result = '';
while (st.length > 0) {
    result += st.pop() + ' ';
}
console.log(result.trim());

Output

50 40 20 10

[Expected Approach 1] - Using Recursion - O(n) Time and O(n) Space

Remove elements of the stack recursively until the count of removed elements becomes half the initial size of the stack, now the top element is the middle element thus pop it and push the previously removed elements in the reverse order.

Follow the steps below to implement the idea:

Store the stack size in a variable sizeofstack and a variable current to track the current size of stack.
Recursively pop out the elements of the stack
- Pop the element from the stack and increment current by one then recur for the remaining stack.
- The base case would be when the current becomes equal to sizeofstack / 2 then pop the top element.
- Push the element that was popped before the recursive call.

C++

#include <iostream>
#include <stack>
using namespace std;

void deleteMid_util(stack<int>& st, int sizeOfStack, int current)
{
    if(current == sizeOfStack / 2)
    {
        st.pop();
        return;
    }

    int x = st.top();
    st.pop();
    current += 1;

    deleteMid_util(st, sizeOfStack, current);
    st.push(x);
}

void deleteMid(stack<int>& st, int sizeOfStack)
{
    deleteMid_util(st, sizeOfStack, 0);
}

int main()
{
    stack<int> st;

    st.push(10);
    st.push(20);
    st.push(30);
    st.push(40);
    st.push(50);

    deleteMid(st, st.size());

    while (!st.empty())
    {
        int p = st.top();
        st.pop();
        cout << p << " ";
    }

    return 0;
}

Java

import java.util.Stack;

public class GfG {
    static void deleteMidUtil(Stack<Integer> st, int sizeOfStack, int current) {
        if (current == sizeOfStack / 2) {
            st.pop();
            return;
        }

        int x = st.pop();
        current += 1;

        deleteMidUtil(st, sizeOfStack, current);
        st.push(x);
    }

    static void deleteMid(Stack<Integer> st, int sizeOfStack) {
        deleteMidUtil(st, sizeOfStack, 0);
    }

    public static void main(String[] args) {
        Stack<Integer> st = new Stack<>();

        st.push(10);
        st.push(20);
        st.push(30);
        st.push(40);
        st.push(50);

        deleteMid(st, st.size());

        while (!st.isEmpty()) {
            int p = st.pop();
            System.out.print(p + " ");
        }
    }
}

Python

class Stack:
    def __init__(self):
        self.items = []

    def push(self, item):
        self.items.append(item)

    def pop(self):
        return self.items.pop() if not self.is_empty() else None

    def top(self):
        return self.items[-1] if not self.is_empty() else None

    def is_empty(self):
        return len(self.items) == 0

    def size(self):
        return len(self.items)


def delete_mid_util(st, sizeOfStack, current):
    if current == sizeOfStack // 2:
        st.pop()
        return

    x = st.pop()
    current += 1

    delete_mid_util(st, sizeOfStack, current)
    st.push(x)


def delete_mid(st):
    delete_mid_util(st, st.size(), 0)


if __name__ == '__main__':
    st = Stack()

    st.push(10)
    st.push(20)
    st.push(30)
    st.push(40)
    st.push(50)

    delete_mid(st)

    while not st.is_empty():
        p = st.pop()
        print(p, end=' ')

C#

using System;
using System.Collections.Generic;

class GfG
{
    static void DeleteMidUtil(Stack<int> st, int sizeOfStack, int current)
    {
        if (current == sizeOfStack / 2)
        {
            st.Pop();
            return;
        }

        int x = st.Pop();
        current += 1;

        DeleteMidUtil(st, sizeOfStack, current);
        st.Push(x);
    }

    static void DeleteMid(Stack<int> st)
    {
        DeleteMidUtil(st, st.Count, 0);
    }

    static void Main()
    {
        Stack<int> st = new Stack<int>();

        st.Push(10);
        st.Push(20);
        st.Push(30);
        st.Push(40);
        st.Push(50);

        DeleteMid(st);

        while (st.Count > 0)
        {
            int p = st.Pop();
            Console.Write(p + " ");
        }
    }
}

JavaScript

function deleteMidUtil(st, sizeOfStack, current) {
    if (current === Math.floor(sizeOfStack / 2)) {
        st.pop();
        return;
    }

    let x = st.pop();
    current += 1;

    deleteMidUtil(st, sizeOfStack, current);
    st.push(x);
}

function deleteMid(st) {
    deleteMidUtil(st, st.length, 0);
}

let st = [];

st.push(10);
st.push(20);
st.push(30);
st.push(40);
st.push(50);

deleteMid(st);

while (st.length > 0) {
    let p = st.pop();
    process.stdout.write(p + ' ');
}

Output

50 40 20 10

[Expected Approach 2] - Using Stack - O(n) Time and O(n) Space

Pop the elements above the middle element of the given stack and use a temp stack to store these popped elements. Then pop the middle element and push the elements of the temp stack in the given stack.

Follow the below steps to implement the idea:

Initialize an empty stack temp and a variable count with 0.
Run a while loop till count becomes equal to half the initial size of the given stack
- Pop the element of the given stack and push them in temp.
Pop the top element from the given stack.
Run a while loop till temp becomes empty.
- Push the element of temp and push them in the given stack.

C++

#include <iostream>
#include <stack>
using namespace std;

void deleteMid(stack<int>& st)
{
    int n = st.size();
    stack<int> tempSt;
    int count = 0;

    while (count < n / 2) {
        int c = st.top();
        st.pop();
        tempSt.push(c);
        count++;
    }

    st.pop();

    while (!tempSt.empty()) {
        st.push(tempSt.top());
        tempSt.pop();
    }
}

int main()
{
    stack<int> st;

    st.push(10);
    st.push(20);
    st.push(30);
    st.push(40);
    st.push(50);

    deleteMid(st);

    while (!st.empty()) {
        int p = st.top();
        st.pop();
        cout << p << " ";
    }
    return 0;
}

Java

import java.util.Stack;

public class GfG {
    public static void deleteMid(Stack<Integer> st) {
        int n = st.size();
        Stack<Integer> tempSt = new Stack<>();
        int count = 0;

        while (count < n / 2) {
            int c = st.pop();
            tempSt.push(c);
            count++;
        }

        st.pop();

        while (!tempSt.isEmpty()) {
            st.push(tempSt.pop());
        }
    }

    public static void main(String[] args) {
        Stack<Integer> st = new Stack<>();

        st.push(10);
        st.push(20);
        st.push(30);
        st.push(40);
        st.push(50);

        deleteMid(st);

        while (!st.isEmpty()) {
            int p = st.pop();
            System.out.print(p + " ");
        }
    }
}

Python

def delete_mid(st):
    n = len(st)
    temp_st = []
    count = 0

    while count < n // 2:
        c = st.pop()
        temp_st.append(c)
        count += 1

    st.pop()

    while temp_st:
        st.append(temp_st.pop())

if __name__ == '__main__':
    st = []

    st.append(10)
    st.append(20)
    st.append(30)
    st.append(40)
    st.append(50)

    delete_mid(st)

    while st:
        p = st.pop()
        print(p, end=' ')

C#

using System;
using System.Collections.Generic;

class GfG {
    static void DeleteMid(Stack<int> st) {
        int n = st.Count;
        Stack<int> tempSt = new Stack<int>();
        int count = 0;

        while (count < n / 2) {
            int c = st.Pop();
            tempSt.Push(c);
            count++;
        }

        st.Pop();

        while (tempSt.Count > 0) {
            st.Push(tempSt.Pop());
        }
    }

    static void Main() {
        Stack<int> st = new Stack<int>();

        st.Push(10);
        st.Push(20);
        st.Push(30);
        st.Push(40);
        st.Push(50);

        DeleteMid(st);

        while (st.Count > 0) {
            int p = st.Pop();
            Console.Write(p + " ");
        }
    }
}

JavaScript

function deleteMid(st) {
    const n = st.length;
    const tempSt = [];
    let count = 0;

    while (count < Math.floor(n / 2)) {
        const c = st.pop();
        tempSt.push(c);
        count++;
    }

    st.pop();

    while (tempSt.length > 0) {
        st.push(tempSt.pop());
    }
}

const st = [];

st.push(10);
st.push(20);
st.push(30);
st.push(40);
st.push(50);

deleteMid(st);

while (st.length > 0) {
    const p = st.pop();
    process.stdout.write(p + ' ');
}

Output

50 40 20 10

Check if a queue can be sorted into another queue using a stack

R

Rohit_ranjan

Improve

Article Tags :

Practice Tags :

Similar Reads

Stack Data Structure

A Stack is a linear data structure that follows a particular order in which the operations are performed. The order may be LIFO(Last In First Out) or FILO(First In Last Out). LIFO implies that the element that is inserted last, comes out first and FILO implies that the element that is inserted first

What is Stack Data Structure? A Complete Tutorial

Stack is a linear data structure that follows LIFO (Last In First Out) Principle, the last element inserted is the first to be popped out. It means both insertion and deletion operations happen at one end only. LIFO(Last In First Out) PrincipleHere are some real world examples of LIFOConsider a stac

Applications, Advantages and Disadvantages of Stack

A stack is a linear data structure in which the insertion of a new element and removal of an existing element takes place at the same end represented as the top of the stack.Stack Data StructureApplications of Stacks:Function calls: Stacks are used to keep track of the return addresses of function c

Implement a stack using singly linked list

To implement a stack using a singly linked list, we need to ensure that all operations follow the LIFO (Last In, First Out) principle. This means that the most recently added element is always the first one to be removed. In this approach, we use a singly linked list, where each node contains data a

Introduction to Monotonic Stack - Data Structure and Algorithm Tutorials

A monotonic stack is a special data structure used in algorithmic problem-solving. Monotonic Stack maintaining elements in either increasing or decreasing order. It is commonly used to efficiently solve problems such as finding the next greater or smaller element in an array etc.Monotonic StackTable

Difference Between Stack and Queue Data Structures

In computer science, data structures are fundamental concepts that are crucial for organizing and storing data efficiently. Among the various data structures, stacks and queues are two of the most basic yet essential structures used in programming and algorithm design. Despite their simplicity, they