Implement two Stacks in an Array
Last Updated :
26 Apr, 2025
Create a data structure twoStacks that represent two stacks. Implementation of twoStacks should use only one array, i.e., both stacks should use the same array for storing elements.
Following functions must be supported by twoStacks.
- push1(int x) --> pushes x to first stack
- push2(int x) --> pushes x to second stack
- pop1() --> pops an element from first stack and return the popped element
- pop2() --> pops an element from second stack and return the popped element
Examples:
Input: push1(2), push1(3), push2(4), pop1(), pop2(), pop2()
Output: [3, 4, -1]
Explanation: push1(2) the stack1 will be [2]
push1(3) the stack1 will be [2,3]
push2(4) the stack2 will be [4]
pop1() the popped element will be 3 from stack1 and stack1 will be [2]
pop2() the popped element will be 4 from stack2 and now stack2 is empty
pop2() the stack2 is now empty hence returned -1
Input: push1(1), push2(2), pop1(), push1(3), pop1(), pop1()
Output: [1, 3, -1]
Explanation: push1(1) the stack1 will be [1]
push2(2) the stack2 will be [2]
pop1() the popped element will be 1
push1(3) the stack1 will be [3]
pop1() the popped element will be 3
pop1() the stack1 is now empty hence returned -1
[Naive Approach] Dividing the space into two halves
The idea to implement two stacks is to divide the array into two halves and assign two halves to two stacks, i.e., use arr[0] to arr[n/2] for stack1, and arr[(n/2) + 1] to arr[n-1] for stack2 where arr[] is the array to be used to implement two stacks and size of array be n.
Follow the steps below to solve the problem:
To implement push1(): First, check whether the top1 is greater than 0
- If it is then add an element at the top1 index and decrement top1 by 1
- Else return Stack Overflow
To implement push2(): First, check whether top2 is less than n - 1
- If it is then add an element at the top2 index and increment the top2 by 1
- Else return Stack Overflow
To implement pop1(): First, check whether the top1 is less than or equal to n / 2
- If it is then increment the top1 by 1 and return that element.
- Else return Stack Underflow
To implement pop2(): First, check whether the top2 is greater than or equal to (n + 1) / 2
- If it is then decrement the top2 by 1 and return that element.
- Else return Stack Underflow
C++
#include <iostream>
#include <stdlib.h>
using namespace std;
class twoStacks {
int* arr;
int size;
int top1, top2;
public:
twoStacks(int n)
{
size = n;
arr = new int[n];
top1 = n / 2 + 1; // top1 starts from the middle of the array + 1
top2 = n / 2; // top2 starts from the middle of the array
}
void push1(int x)
{
if (top1 < size) { // Ensure there is space for stack1
arr[top1++] = x; // Increment top1 and then insert the element
}
else {
cout << "Stack Overflow for stack1" << endl;
}
}
void push2(int x)
{
if (top2 >= 0) { // Ensure there is space for stack2
arr[top2--] = x; // Decrement top2 and then insert the element
}
else {
cout << "Stack Overflow for stack2" << endl;
}
}
int pop1()
{
if (top1 > size / 2) { // Ensure stack1 is not empty
return arr[--top1]; // Decrement top1 and return the element
}
else {
return -1; // Stack Underflow for stack1
}
}
int pop2()
{
if (top2 < size / 2) { // Ensure stack2 is not empty
return arr[++top2]; // Increment top2 and return the element
}
else {
return -1; // Stack Underflow for stack2
}
}
};
int main()
{
twoStacks ts(5);
ts.push1(2);
ts.push1(3);
ts.push2(4);
cout << ts.pop1() << " ";
cout << ts.pop2() << " ";
cout << ts.pop2() << " ";
return 0;
}
Java
import java.util.Arrays;
class TwoStacks {
int[] arr;
int size;
int top1, top2;
public TwoStacks(int n) {
size = n;
arr = new int[n];
top1 = n / 2 + 1; // top1 starts from the middle of the array + 1
top2 = n / 2; // top2 starts from the middle of the array
}
void push1(int x) {
if (top1 < size) { // Ensure there is space for stack1
arr[top1++] = x; // Increment top1 and then insert the element
} else {
System.out.println("Stack Overflow for stack1");
}
}
void push2(int x) {
if (top2 >= 0) { // Ensure there is space for stack2
arr[top2--] = x; // Decrement top2 and then insert the element
} else {
System.out.println("Stack Overflow for stack2");
}
}
int pop1() {
if (top1 > size / 2) { // Ensure stack1 is not empty
return arr[--top1]; // Decrement top1 and return the element
} else {
return -1; // Stack Underflow for stack1
}
}
int pop2() {
if (top2 < size / 2) { // Ensure stack2 is not empty
return arr[++top2]; // Increment top2 and return the element
} else {
return -1; // Stack Underflow for stack2
}
}
public static void main(String[] args) {
TwoStacks ts = new TwoStacks(5);
ts.push1(2);
ts.push1(3);
ts.push2(4);
System.out.print(ts.pop1() + " ");
System.out.print(ts.pop2() + " ");
System.out.print(ts.pop2() + " ");
}
}
Python
class TwoStacks:
def __init__(self, n):
self.size = n
self.arr = [0] * n
self.top1 = n // 2 - 1 # top1 starts from the middle of the array - 1
self.top2 = n // 2 # top2 starts from the middle of the array
def push1(self, x):
if self.top1 >= 0: # Ensure there is space for stack1 (top1 should not overlap top2)
self.top1 -= 1
self.arr[self.top1] = x # Insert the element
else:
print("Stack Overflow for stack1")
def push2(self, x):
if self.top2 < self.size: # Ensure there is space for stack2 (top2 should not overlap top1)
self.arr[self.top2] = x # Insert the element
self.top2 += 1
else:
print("Stack Overflow for stack2")
def pop1(self):
if self.top1 < self.size // 2 - 1: # Ensure stack1 is not empty
x = self.arr[self.top1]
self.top1 += 1
return x # Return the element
else:
return -1 # Stack Underflow for stack1
def pop2(self):
if self.top2 > self.size // 2: # Ensure stack2 is not empty
self.top2 -= 1
return self.arr[self.top2] # Return the element
else:
return -1 # Stack Underflow for stack2
if __name__ == '__main__':
ts = TwoStacks(5)
ts.push1(2)
ts.push1(3)
ts.push2(4)
print(ts.pop1(), end=' ')
print(ts.pop2(), end=' ')
print(ts.pop2(), end=' ')
C#
using System;
class TwoStacks {
int[] arr;
int size;
int top1, top2;
public TwoStacks(int n) {
size = n;
arr = new int[n];
top1 = n / 2 + 1; // top1 starts from the middle of the array + 1
top2 = n / 2; // top2 starts from the middle of the array
}
public void Push1(int x) {
if (top1 < size) { // Ensure there is space for stack1
arr[top1++] = x; // Increment top1 and then insert the element
} else {
Console.WriteLine("Stack Overflow for stack1");
}
}
public void Push2(int x) {
if (top2 >= 0) { // Ensure there is space for stack2
arr[top2--] = x; // Decrement top2 and then insert the element
} else {
Console.WriteLine("Stack Overflow for stack2");
}
}
public int Pop1() {
if (top1 > size / 2) { // Ensure stack1 is not empty
return arr[--top1]; // Decrement top1 and return the element
} else {
return -1; // Stack Underflow for stack1
}
}
public int Pop2() {
if (top2 < size / 2) { // Ensure stack2 is not empty
return arr[++top2]; // Increment top2 and return the element
} else {
return -1; // Stack Underflow for stack2
}
}
public static void Main() {
TwoStacks ts = new TwoStacks(5);
ts.Push1(2);
ts.Push1(3);
ts.Push2(4);
Console.Write(ts.Pop1() + " ");
Console.Write(ts.Pop2() + " ");
Console.Write(ts.Pop2() + " ");
}
}
JavaScript
class TwoStacks {
constructor(n) {
this.size = n;
this.arr = new Array(n);
this.top1 = Math.floor(n / 2) + 1; // top1 starts from the middle of the array + 1
this.top2 = Math.floor(n / 2); // top2 starts from the middle of the array
}
push1(x) {
if (this.top1 < this.size) { // Ensure there is space for stack1
this.arr[this.top1++] = x; // Increment top1 and then insert the element
} else {
console.log("Stack Overflow for stack1");
}
}
push2(x) {
if (this.top2 >= 0) { // Ensure there is space for stack2
this.arr[this.top2--] = x; // Decrement top2 and then insert the element
} else {
console.log("Stack Overflow for stack2");
}
}
pop1() {
if (this.top1 > Math.floor(this.size / 2)) { // Ensure stack1 is not empty
return this.arr[--this.top1]; // Decrement top1 and return the element
} else {
return -1; // Stack Underflow for stack1
}
}
pop2() {
if (this.top2 < Math.floor(this.size / 2)) { // Ensure stack2 is not empty
return this.arr[++this.top2]; // Increment top2 and return the element
} else {
return -1; // Stack Underflow for stack2
}
}
}
const ts = new TwoStacks(5);
ts.push1(2);
ts.push1(3);
ts.push2(4);
let output = '';
output += ts.pop1() + ' ';
output += ts.pop2() + ' ';
output += ts.pop2() + ' ';
console.log(output.trim());
Time Complexity:
- Both Push operation: O(1)
- Both Pop operation: O(1)
Auxiliary Space: O(n), Use of array to implement stack.
Problem in the above implementation
The problem with the approach is that we divide the array into two fixed halves, with one half reserved for stack1 and the other half for stack2. This can lead to inefficient space usage because if stack1 fills up, it cannot use the space available in the second half of the array for stack2, even if that space is not fully utilized.
To fix this, we should allow both stacks to grow dynamically towards each other. Instead of reserving a fixed half for each stack, stack1 will start from the left side of the array, and stack2 will start from the right side. They will grow towards each other. This way, if one stack fills up, the other stack can still use the remaining space. Overflow will only occur when both stacks meet in the middle.
[Expected Approach] Starting from endpoints
The idea is to start two stacks from two extreme corners of arr[].
Follow the steps below to solve the problem:
- Stack1 starts from the leftmost corner of the array, the first element in stack1 is pushed at index 0 of the array.
- Stack2 starts from the rightmost corner of the array, the first element in stack2 is pushed at index (n-1) of the array.
- Both stacks grow (or shrink) in opposite directions.
- To check for overflow, all we need to check is for availability of space between top elements of both stacks.
- To check for underflow, all we need to check is if the value of the top of the both stacks is between 0 to (n-1) or not.
C++
#include <iostream>
using namespace std;
class twoStacks {
int *arr;
int size;
int top1, top2;
public:
twoStacks(int n) {
size = n;
arr = new int[n];
top1 = -1;
top2 = size;
}
void push1(int x) {
if (top1 < top2 - 1) {
top1++;
arr[top1] = x;
}
}
void push2(int x) {
if (top1 < top2 - 1) {
top2--;
arr[top2] = x;
}
}
int pop1() {
if (top1 >= 0) {
int x = arr[top1];
top1--;
return x;
} else
return -1;
}
int pop2() {
if (top2 < size) {
int x = arr[top2];
top2++;
return x;
} else
return -1;
}
};
int main() {
twoStacks ts(5);
ts.push1(2);
ts.push1(3);
ts.push2(4);
cout << ts.pop1() << " ";
cout << ts.pop2() << " ";
cout << ts.pop2() << " ";
return 0;
}
Java
import java.util.Stack;
class TwoStacks {
private Stack<Integer> stack1;
private Stack<Integer> stack2;
public TwoStacks() {
stack1 = new Stack<>();
stack2 = new Stack<>();
}
public void push1(int x) {
stack1.push(x);
}
public void push2(int x) {
stack2.push(x);
}
public int pop1() {
if (!stack1.isEmpty()) {
return stack1.pop();
} else {
return -1;
}
}
public int pop2() {
if (!stack2.isEmpty()) {
return stack2.pop();
} else {
return -1;
}
}
public static void main(String[] args) {
TwoStacks ts = new TwoStacks();
ts.push1(2);
ts.push1(3);
ts.push2(4);
System.out.print(ts.pop1() + " ");
System.out.print(ts.pop2() + " ");
System.out.print(ts.pop2() + " ");
}
}
Python
class TwoStacks:
def __init__(self, n):
self.size = n
self.arr = [0] * n
self.top1 = -1
self.top2 = n
def push1(self, x):
if self.top1 < self.top2 - 1:
self.top1 += 1
self.arr[self.top1] = x
def push2(self, x):
if self.top1 < self.top2 - 1:
self.top2 -= 1
self.arr[self.top2] = x
def pop1(self):
if self.top1 >= 0:
x = self.arr[self.top1]
self.top1 -= 1
return x
return -1
def pop2(self):
if self.top2 < self.size:
x = self.arr[self.top2]
self.top2 += 1
return x
return -1
if __name__ == '__main__':
ts = TwoStacks(5)
ts.push1(2)
ts.push1(3)
ts.push2(4)
print(ts.pop1(), end=' ')
print(ts.pop2(), end=' ')
print(ts.pop2(), end=' ')
C#
using System;
using System.Collections.Generic;
class TwoStacks {
private Stack<int> stack1;
private Stack<int> stack2;
public TwoStacks() {
stack1 = new Stack<int>();
stack2 = new Stack<int>();
}
public void Push1(int x) {
stack1.Push(x);
}
public void Push2(int x) {
stack2.Push(x);
}
public int Pop1() {
if (stack1.Count > 0) {
return stack1.Pop();
} else {
return -1;
}
}
public int Pop2() {
if (stack2.Count > 0) {
return stack2.Pop();
} else {
return -1;
}
}
public static void Main() {
TwoStacks ts = new TwoStacks();
ts.Push1(2);
ts.Push1(3);
ts.Push2(4);
Console.Write(ts.Pop1() + " ");
Console.Write(ts.Pop2() + " ");
Console.Write(ts.Pop2() + " ");
}
}
JavaScript
class TwoStacks {
constructor(n) {
this.size = n;
this.arr = new Array(n);
this.top1 = -1;
this.top2 = n;
}
push1(x) {
if (this.top1 < this.top2 - 1) {
this.top1++;
this.arr[this.top1] = x;
}
}
push2(x) {
if (this.top1 < this.top2 - 1) {
this.top2--;
this.arr[this.top2] = x;
}
}
pop1() {
if (this.top1 >= 0) {
const x = this.arr[this.top1];
this.top1--;
return x;
} else {
return -1;
}
}
pop2() {
if (this.top2 < this.size) {
const x = this.arr[this.top2];
this.top2++;
return x;
} else {
return -1;
}
}
}
const ts = new TwoStacks(5);
ts.push1(2);
ts.push1(3);
ts.push2(4);
let output = '';
output += ts.pop1() + ' ';
output += ts.pop2() + ' ';
output += ts.pop2() + ' ';
console.log(output.trim());
Time Complexity:
- Both Push operation: O(1)
- Both Pop operation: O(1)
Auxiliary Space: O(n), Use of the array to implement stack.
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Intermediate problems on Stack
How to create mergeable stack?Design a stack with the following operations. push(Stack s, x): Adds an item x to stack s pop(Stack s): Removes the top item from stack s merge(Stack s1, Stack s2): Merge contents of s2 into s1. Time Complexity of all above operations should be O(1). If we use array implementation of the stack, then
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The Stock Span ProblemThe stock span problem is a financial problem where we have a series of daily price quotes for a stock denoted by an array arr[] and the task is to calculate the span of the stock's price for all days. The span of the stock's price on ith day represents the maximum number of consecutive days leading
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Next Greater Element (NGE) for every element in given ArrayGiven an array arr[] of integers, the task is to find the Next Greater Element for each element of the array in order of their appearance in the array. Note: The Next Greater Element for an element x is the first greater element on the right side of x in the array. Elements for which no greater elem
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Next Greater Frequency ElementGiven an array, for each element find the value of the nearest element to the right which is having a frequency greater than that of the current element. If there does not exist an answer for a position, then make the value '-1'.Examples: Input: arr[] = [2, 1, 1, 3, 2, 1]Output: [1, -1, -1, 2, 1, -1
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Maximum product of indexes of next greater on left and rightGiven an array arr[1..n], for each element at position i (1 <= i <= n), define the following:left(i) is the closest index j such that j < i and arr[j] > arr[i]. If no such j exists, then left(i) = 0.right(i) is the closest index k such that k > i and arr[k] > arr[i]. If no such k e
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Iterative Tower of HanoiThe Tower of Hanoi is a mathematical puzzle with three poles and stacked disks of different sizes. The goal is to move all disks from the source pole to the destination pole using an auxiliary pole, following two rules:Only one disk can be moved at a time.A larger disk cannot be placed on a smaller
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Sort a stack using a temporary stackGiven a stack of integers, sort it in ascending order using another temporary stack.Examples: Input: [34, 3, 31, 98, 92, 23]Output: [3, 23, 31, 34, 92, 98]Explanation: After Sorting the given array it would be look like as [3, 23, 31, 34, 92, 98]Input: [3, 5, 1, 4, 2, 8]Output: [1, 2, 3, 4, 5, 8] Ap
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Reverse a stack without using extra space in O(n)Reverse a Stack without using recursion and extra space. Even the functional Stack is not allowed. Examples: Input : 1->2->3->4 Output : 4->3->2->1 Input : 6->5->4 Output : 4->5->6 We have discussed a way of reversing a stack in the below post.Reverse a Stack using Recu
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Delete middle element of a stackGiven 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 elem
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Check if a queue can be sorted into another queue using a stackGiven a Queue consisting of first n natural numbers (in random order). The task is to check whether the given Queue elements can be arranged in increasing order in another Queue using a stack. The operation allowed are: Push and pop elements from the stack Pop (Or Dequeue) from the given Queue. Push
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Check if an array is stack sortableGiven an array arr[] of n distinct elements, where each element is between 1 and n (inclusive), determine if it is stack-sortable.Note: An array a[] is considered stack-sortable if it can be rearranged into a sorted array b[] using a temporary stack stk with the following operations:Remove the first
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Largest Rectangular Area in a HistogramGiven a histogram represented by an array arr[], where each element of the array denotes the height of the bars in the histogram. All bars have the same width of 1 unit.Task is to find the largest rectangular area possible in a given histogram where the largest rectangle can be made of a number of c
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Maximum of minimums of every window size in a given arrayGiven an integer array arr[] of size n, the task is to find the maximum of the minimums for every window size in the given array, where the window size ranges from 1 to n.Example:Input: arr[] = [10, 20, 30]Output: [30, 20, 10]Explanation: First element in output indicates maximum of minimums of all
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Find index of closing bracket for a given opening bracket in an expressionGiven a string with brackets. If the start index of the open bracket is given, find the index of the closing bracket. Examples: Input : string = [ABC[23]][89] index = 0 Output : 8 The opening bracket at index 0 corresponds to closing bracket at index 8.Recommended PracticeClosing bracket indexTry It
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Maximum difference between nearest left and right smaller elementsGiven an array of integers, the task is to find the maximum absolute difference between the nearest left and the right smaller element of every element in the array. Note: If there is no smaller element on right side or left side of any element then we take zero as the smaller element. For example f
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Delete consecutive same words in a sequenceGiven an array of n strings arr[]. The task is to determine the number of words remaining after pairwise destruction. If two consecutive words in the array are identical, they cancel each other out. This process continues until no more eliminations are possible. Examples: Input: arr[] = ["gfg", "for
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Check mirror in n-ary treeGiven two n-ary trees, determine whether they are mirror images of each other. Each tree is described by e edges, where e denotes the number of edges in both trees. Two arrays A[]and B[] are provided, where each array contains 2*e space-separated values representing the edges of both trees. Each edg
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Reverse a number using stackGiven a number , write a program to reverse this number using stack.Examples: Input : 365Output : 563Input : 6899Output : 9986We have already discussed the simple method to reverse a number in this post. In this post we will discuss about how to reverse a number using stack.The idea to do this is to
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Reversing the first K elements of a QueueGiven an integer k and a queue of integers, The task is to reverse the order of the first k elements of the queue, leaving the other elements in the same relative order.Only following standard operations are allowed on the queue. enqueue(x): Add an item x to rear of queuedequeue(): Remove an item fr
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