Design a stack that supports getMin() in O(1) time
Last Updated : 26 Apr, 2025
Design a Data Structure SpecialStack that supports all the stack operations like push(), pop(), peek() and an additional operation getMin() which should return minimum element from the SpecialStack. All these operations of SpecialStack must have a time complexity of O(1).
Example:
Input: queries = [push(2), push(3), peek(), pop(), getMin(), push(1), getMin()]
Output: [3, 2, 1]
Explanation:
push(2): Stack is [2]
push(3): Stack is [2, 3]
peek(): Top element is 3
pop(): Removes 3, stack is [2]
getMin(): Minimum element is 2
push(1): Stack is [2, 1]
getMin(): Minimum element is 1
Input: queries = [push(10), getMin(), push(5), getMin(), pop()]
Output: [10, 5]
Explanation:
push(10): Stack is [10]
getMin(): Minimum element is 10
push(5): Stack is [10, 5]
getMin(): Minimum element is 5
pop(): Removes 5, stack is [10]
Using an Auxiliary Stack - O(n) Time and O(n) Space
Use two stacks: one to store actual stack elements and the other as an auxiliary stack to store minimum values. The idea is to do push() and pop() operations in such a way that the top of the auxiliary stack is always the minimum. Let us see how push() and pop() operations work.
Push(int x)
- push x to the first stack (the stack with actual elements)
- compare x with the top element of the second stack (the auxiliary stack). Let the top element be y.
- If x is smaller than y then push x to the auxiliary stack.
- If x is greater than y then push y to the auxiliary stack.
int Pop()
- pop the top element from the auxiliary stack.
- pop the top element from the actual stack and return it. Step 1 is necessary to make sure that the auxiliary stack is also updated for future operations.
int getMin()
- Return the top element of the auxiliary stack.
C++ #include <iostream> #include <stack> using namespace std; class SpecialStack { stack<int> s; stack<int> minStack; public: void push(int x) { s.push(x); // If the minStack is empty or the new element is smaller than // the top of minStack, push it onto minStack if (minStack.empty() || x <= minStack.top()) { minStack.push(x); } else { // Otherwise, push the top element of minStack // again to keep the minimum unchanged minStack.push(minStack.top()); } } // Pop the top element from the stack int pop() { if (s.empty()) { return -1; } // Pop from both stacks int poppedElement = s.top(); s.pop(); minStack.pop(); return poppedElement; } // Return the top element of the stack without removing it int peek() { if (s.empty()) { return -1; } return s.top(); } // Check if the stack is empty bool isEmpty() { return s.empty(); } // Get the minimum element in the stack int getMin() { if (minStack.empty()) { return -1; } return minStack.top(); } }; int main() { SpecialStack stack; stack.push(18); stack.push(19); stack.push(29); stack.push(15); stack.push(16); cout << stack.getMin() << endl; return 0; }
Java import java.util.Stack; class SpecialStack { Stack<Integer> s = new Stack<>(); Stack<Integer> minStack = new Stack<>(); public void push(int x) { s.push(x); // If the minStack is empty or the new element is smaller than // the top of minStack, push it onto minStack if (minStack.isEmpty() || x <= minStack.peek()) { minStack.push(x); } else { // Otherwise, push the top element of minStack // again to keep the minimum unchanged minStack.push(minStack.peek()); } } // Pop the top element from the stack public int pop() { if (s.isEmpty()) { return -1; } // Pop from both stacks int poppedElement = s.pop(); minStack.pop(); return poppedElement; } // Return the top element of the stack without removing it public int peek() { if (s.isEmpty()) { return -1; } return s.peek(); } // Check if the stack is empty public boolean isEmpty() { return s.isEmpty(); } // Get the minimum element in the stack public int getMin() { if (minStack.isEmpty()) { return -1; } return minStack.peek(); } } public class GfG { public static void main(String[] args) { SpecialStack stack = new SpecialStack(); stack.push(18); stack.push(19); stack.push(29); stack.push(15); stack.push(16); System.out.println(stack.getMin()); } }
Python class specialStack: def __init__(self): self.s = [] self.minStack = [] def push(self, x): self.s.append(x) # If the minStack is empty or the new element is smaller than # the top of minStack, push it onto minStack if not self.minStack or x <= self.minStack[-1]: self.minStack.append(x) else: # Otherwise, push the top element of minStack # again to keep the minimum unchanged self.minStack.append(self.minStack[-1]) # Pop the top element from the stack def pop(self): if not self.s: return -1 # Pop from both stacks poppedElement = self.s.pop() self.minStack.pop() return poppedElement # Return the top element of the stack without removing it def peek(self): if not self.s: return -1 return self.s[-1] # Check if the stack is empty def isEmpty(self): return len(self.s) == 0 # Get the minimum element in the stack def getMin(self): if not self.minStack: return -1 return self.minStack[-1] if __name__ == '__main__': stack = specialStack() stack.push(18) stack.push(19) stack.push(29) stack.push(15) stack.push(16) print(stack.getMin())
C# using System; using System.Collections.Generic; class SpecialStack { Stack<int> s = new Stack<int>(); Stack<int> minStack = new Stack<int>(); public void Push(int x) { s.Push(x); // If the minStack is empty or the new element is smaller than // the top of minStack, push it onto minStack if (minStack.Count == 0 || x <= minStack.Peek()) { minStack.Push(x); } else { // Otherwise, push the top element of minStack // again to keep the minimum unchanged minStack.Push(minStack.Peek()); } } // Pop the top element from the stack public int Pop() { if (s.Count == 0) { return -1; } // Pop from both stacks int poppedElement = s.Pop(); minStack.Pop(); return poppedElement; } // Return the top element of the stack without removing it public int Peek() { if (s.Count == 0) { return -1; } return s.Peek(); } // Check if the stack is empty public bool IsEmpty() { return s.Count == 0; } // Get the minimum element in the stack public int GetMin() { if (minStack.Count == 0) { return -1; } return minStack.Peek(); } } class GfG { static void Main() { SpecialStack stack = new SpecialStack(); stack.Push(18); stack.Push(19); stack.Push(29); stack.Push(15); stack.Push(16); Console.WriteLine(stack.GetMin()); } }
JavaScript class specialStack { constructor() { this.s = []; this.minStack = []; } push(x) { this.s.push(x); // If the minStack is empty or the new element is smaller than // the top of minStack, push it onto minStack if (this.minStack.length === 0 || x <= this.minStack[this.minStack.length - 1]) { this.minStack.push(x); } else { // Otherwise, push the top element of minStack // again to keep the minimum unchanged this.minStack.push(this.minStack[this.minStack.length - 1]); } } // Pop the top element from the stack pop() { if (this.s.length === 0) { return -1; } // Pop from both stacks const poppedElement = this.s.pop(); this.minStack.pop(); return poppedElement; } // Return the top element of the stack without removing it peek() { if (this.s.length === 0) { return -1; } return this.s[this.s.length - 1]; } // Check if the stack is empty isEmpty() { return this.s.length === 0; } // Get the minimum element in the stack getMin() { if (this.minStack.length === 0) { return -1; } return this.minStack[this.minStack.length - 1]; } } const stack = new specialStack(); stack.push(18); stack.push(19); stack.push(29); stack.push(15); stack.push(16); console.log(stack.getMin());
Time Complexity:
- For insert operation: O(1) (As insertion 'push' in a stack takes constant time)
- For delete operation: O(1) (As deletion 'pop' in a stack takes constant time)
- For 'Get Min' operation: O(1) (As we have used an auxiliary stack which has it's top as the minimum element)
Auxiliary Space: O(n)
Using a Pair in Stack - O(1) Time and O(n) Space
This approach uses a stack where each element is stored as a pair: the element itself and the minimum value up to that point. When an element is pushed, the minimum is updated. The getMin() function directly accesses the minimum value from the top of the stack in constant time, ensuring that both push(), pop(), and getMin() operations are O(1). This approach efficiently tracks the minimum value without needing to traverse the stack.
C++ // C++ program to implement a stack that supports // all operations in O(1) time and O(n) extra space. #include <iostream> #include <stack> using namespace std; // A user defined stack that supports getMin() in // addition to push(), pop() and peek() class SpecialStack { private: stack<pair<int, int> > s; public: SpecialStack() { } // Add an element to the top of Stack void push(int x) { int newMin = s.empty() ? x : min(x, s.top().second); // we push the pair of given element and newMin into stack s.push({ x, newMin }); } // Remove the top element from the Stack void pop() { if (!s.empty()) { s.pop(); } } // Returns top element of the Stack int peek() { if (s.empty()) { return -1; } int top = s.top().first; return top; } // Finds minimum element of Stack int getMin() { if (s.empty()) { return -1; } int mn = s.top().second; return mn; } }; int main() { SpecialStack ss; // Function calls ss.push(2); ss.push(3); cout << ss.peek() << " "; ss.pop(); cout << ss.getMin() << " "; ss.push(1); cout << ss.getMin() << " "; }
Java // Java program to implement a stack that supports // all operations in O(1) time and O(n) extra space. import java.util.Stack; class SpecialStack { private Stack<int[]> s; public SpecialStack() { s = new Stack<>(); } // Add an element to the top of Stack public void push(int x) { int newMin = s.isEmpty() ? x : Math.min(x, s.peek()[1]); s.push(new int[]{x, newMin}); } // Remove the top element from the Stack public void pop() { if (!s.isEmpty()) { s.pop(); } } // Returns top element of the Stack public int peek() { return s.isEmpty() ? -1 : s.peek()[0]; } // Finds minimum element of Stack public int getMin() { return s.isEmpty() ? -1 : s.peek()[1]; } public static void main(String[] args) { SpecialStack ss = new SpecialStack(); // Function calls ss.push(2); ss.push(3); System.out.print(ss.peek() + " "); ss.pop(); System.out.print(ss.getMin() + " "); ss.push(1); System.out.print(ss.getMin() + " "); } }
Python # Python program to implement a stack that supports # all operations in O(1) time and O(n) extra space. class SpecialStack: def __init__(self): self.s = [] # Add an element to the top of Stack def push(self, x): newMin = x if not self.s else min(x, self.s[-1][1]) self.s.append((x, newMin)) # Remove the top element from the Stack def pop(self): if self.s: self.s.pop() # Returns top element of the Stack def peek(self): return -1 if not self.s else self.s[-1][0] # Finds minimum element of Stack def getMin(self): return -1 if not self.s else self.s[-1][1] if __name__ == "__main__": ss = SpecialStack() # Function calls ss.push(2) ss.push(3) print(ss.peek(), end=" ") ss.pop() print(ss.getMin(), end=" ") ss.push(1) print(ss.getMin(), end=" ")
C# // C# program to implement a stack that supports // all operations in O(1) time and O(n) extra space. using System; using System.Collections.Generic; class SpecialStack { private Stack<(int, int)> s; public SpecialStack() { s = new Stack<(int, int)>(); } // Add an element to the top of Stack public void Push(int x) { int newMin = s.Count == 0 ? x : Math.Min(x, s.Peek().Item2); s.Push((x, newMin)); } // Remove the top element from the Stack public void Pop() { if (s.Count > 0) { s.Pop(); } } // Returns top element of the Stack public int Peek() { return s.Count == 0 ? -1 : s.Peek().Item1; } // Finds minimum element of Stack public int GetMin() { return s.Count == 0 ? -1 : s.Peek().Item2; } public static void Main() { SpecialStack ss = new SpecialStack(); // Function calls ss.Push(2); ss.Push(3); Console.Write(ss.Peek() + " "); ss.Pop(); Console.Write(ss.GetMin() + " "); ss.Push(1); Console.Write(ss.GetMin() + " "); } }
JavaScript // JavaScript program to implement a stack that supports // all operations in O(1) time and O(n) extra space. class SpecialStack { constructor() { this.s = []; } // Add an element to the top of Stack push(x) { let newMin = this.s.length === 0 ? x : Math.min(x, this.s[this.s.length - 1][1]); this.s.push([x, newMin]); } // Remove the top element from the Stack pop() { if (this.s.length > 0) { this.s.pop(); } } // Returns top element of the Stack peek() { return this.s.length === 0 ? -1 : this.s[this.s.length - 1][0]; } // Finds minimum element of Stack getMin() { return this.s.length === 0 ? -1 : this.s[this.s.length - 1][1]; } } // Driver Code const ss = new SpecialStack(); ss.push(2); ss.push(3); console.log(ss.peek() + " "); ss.pop(); console.log(ss.getMin() + " "); ss.push(1); console.log(ss.getMin() + " ");
Without Extra Space- O(1) Time and O(1) Space
The idea is to use a variable minEle to track the minimum element in the stack. Instead of storing the actual value of minEle in the stack, we store a modified value when pushing an element smaller than minEle. This allows retrieving the previous minimum in O(1) time and space.
Operations
- Push(x)
- If the stack is empty, push x and set minEle = x.
- If x >= minEle, push x normally.
- If x < minEle, push 2*x - minEle and update minEle = x (this encodes the previous min).
- Pop()
- Remove the top element.
- If the removed element is >= minEle, no change in minEle.
- If the removed element is < minEle, update minEle = 2*minEle - top (decoding the previous min).
- Peek()
- Returns minEle if the top is modified (encoded) or top otherwise.
- getMin()
- Returns minEle, the current minimum in O(1) time.
C++ // C++ program to implement a stack that supports // all operations in O(1) time and O(1) extra space. #include <iostream> #include <stack> using namespace std; // A user defined stack that supports getMin() in // addition to push(), pop() and peek() class SpecialStack { private: stack<int> s; int minEle; public: SpecialStack() { minEle = -1; } // Add an element to the top of Stack void push(int x) { if (s.empty()) { minEle = x; s.push(x); } // If new number is less than minEle else if (x < minEle) { s.push(2 * x - minEle); minEle = x; } else { s.push(x); } } // Remove the top element from the Stack void pop() { if (s.empty()) { return ; } int top = s.top(); s.pop(); // Minimum will change, if the minimum element // of the stack is being removed. if (top < minEle) { minEle = 2 * minEle - top; } } // Returns top element of the Stack int peek() { if (s.empty()) { return -1; } int top = s.top(); // If minEle > top means minEle stores value of top. return (minEle > top) ? minEle : top; } // Finds minimum element of Stack int getMin() { if (s.empty()) return -1; // variable minEle stores the minimum element // in the stack. return minEle; } }; int main() { SpecialStack ss; // Function calls ss.push(2); ss.push(3); cout << ss.peek() << " "; ss.pop(); cout << ss.getMin() << " "; ss.push(1); cout << ss.getMin() << " "; }
Java // Java program to implement a stack that supports // all operations in O(1) time and O(1) extra space. import java.util.Stack; class SpecialStack { private Stack<Integer> s; private int minEle; public SpecialStack() { s = new Stack<>(); minEle = -1; } // Add an element to the top of Stack public void push(int x) { if (s.isEmpty()) { minEle = x; s.push(x); } // If new number is less than minEle else if (x < minEle) { s.push(2 * x - minEle); minEle = x; } else { s.push(x); } } // Remove the top element from the Stack public void pop() { if (s.isEmpty()) { return; } int top = s.pop(); // Minimum will change, if the minimum element // of the stack is being removed. if (top < minEle) { minEle = 2 * minEle - top; } } // Returns top element of the Stack public int peek() { if (s.isEmpty()) { return -1; } int top = s.peek(); // If minEle > top means minEle stores value of top. return (minEle > top) ? minEle : top; } // Finds minimum element of Stack public int getMin() { if (s.isEmpty()) { return -1; } // variable minEle stores the minimum element // in the stack. return minEle; } public static void main(String[] args) { SpecialStack ss = new SpecialStack(); // Function calls ss.push(2); ss.push(3); System.out.print(ss.peek() + " "); ss.pop(); System.out.print(ss.getMin() + " "); ss.push(1); System.out.print(ss.getMin() + " "); } }
Python # Python program to implement a stack that supports # all operations in O(1) time and O(1) extra space. class SpecialStack: def __init__(self): self.s = [] self.minEle = -1 # Add an element to the top of Stack def push(self, x): if not self.s: self.minEle = x self.s.append(x) # If new number is less than minEle elif x < self.minEle: self.s.append(2 * x - self.minEle) self.minEle = x else: self.s.append(x) # Remove the top element from the Stack def pop(self): if not self.s: return top = self.s.pop() # Minimum will change, if the minimum element # of the stack is being removed. if top < self.minEle: self.minEle = 2 * self.minEle - top # Returns top element of Stack def peek(self): if not self.s: return -1 top = self.s[-1] # If minEle > top means minEle stores value of top. return self.minEle if self.minEle > top else top # Finds minimum element of Stack def getMin(self): if not self.s: return -1 # variable minEle stores the minimum element # in the stack. return self.minEle if __name__ == '__main__': ss = SpecialStack() # Function calls ss.push(2) ss.push(3) print(ss.peek(), end=" ") ss.pop() print(ss.getMin(), end=" ") ss.push(1) print(ss.getMin(), end=" ")
C# // C# program to implement a stack that supports // all operations in O(1) time and O(1) extra space. using System; using System.Collections.Generic; class SpecialStack { private Stack<int> s; private int minEle; public SpecialStack() { s = new Stack<int>(); minEle = -1; } // Add an element to the top of Stack public void Push(int x) { if (s.Count == 0) { minEle = x; s.Push(x); } // If new number is less than minEle else if (x < minEle) { s.Push(2 * x - minEle); minEle = x; } else { s.Push(x); } } // Remove the top element from the Stack public void Pop() { if (s.Count == 0) { return; } int top = s.Pop(); // Minimum will change, if the minimum element // of the stack is being removed. if (top < minEle) { minEle = 2 * minEle - top; } } // Returns top element of Stack public int Peek() { if (s.Count == 0) { return -1; } int top = s.Peek(); // If minEle > top means minEle stores value of top. return (minEle > top) ? minEle : top; } // Finds minimum element of Stack public int GetMin() { if (s.Count == 0) { return -1; } // variable minEle stores the minimum element // in the stack. return minEle; } static void Main() { SpecialStack ss = new SpecialStack(); // Function calls ss.Push(2); ss.Push(3); Console.Write(ss.Peek() + " "); ss.Pop(); Console.Write(ss.GetMin() + " "); ss.Push(1); Console.Write(ss.GetMin() + " "); } }
JavaScript // JavaScript program to implement a stack that supports // all operations in O(1) time and O(1) extra space. class SpecialStack { constructor() { this.s = []; this.minEle = -1; } // Add an element to the top of Stack push(x) { if (this.s.length === 0) { this.minEle = x; this.s.push(x); } // If new number is less than minEle else if (x < this.minEle) { this.s.push(2 * x - this.minEle); this.minEle = x; } else { this.s.push(x); } } // Remove the top element from the Stack pop() { if (this.s.length === 0) { return; } let top = this.s.pop(); // Minimum will change, if the minimum element // of the stack is being removed. if (top < this.minEle) { this.minEle = 2 * this.minEle - top; } } // Returns top element of Stack peek() { if (this.s.length === 0) { return -1; } let top = this.s[this.s.length - 1]; // If minEle > top means minEle stores value of top. return this.minEle > top ? this.minEle : top; } // Finds minimum element of Stack getMin() { if (this.s.length === 0) { return -1; } // variable minEle stores the minimum element // in the stack. return this.minEle; } } // Driver Code let ss = new SpecialStack(); ss.push(2); ss.push(3); console.log(ss.peek(), " "); ss.pop(); console.log(ss.getMin(), " "); ss.push(1); console.log(ss.getMin(), " ");
How does this approach work?
When the element to be inserted is less than minEle, we insert "2x - minEle". The important thing to note is, that 2x - minEle will always be less than x (proved below), i.e., new minEle and while popping out this element we will see that something unusual has happened as the popped element is less than the minEle. So we will be updating minEle.
How 2*x - minEle is less than x in push()?
x < minEle which means x - minEle < 0
// Adding x on both sides
x - minEle + x < 0 + x
2*x - minEle < x
We can conclude 2*x - minEle < new minEle
While popping out, if we find the element(y) less than the current minEle, we find the new minEle = 2*minEle - y
How previous minimum element, prevMinEle is, 2*minEle - y
in pop() is y the popped element?
// We pushed y as 2x - prevMinEle. Here
// prevMinEle is minEle before y was inserted
y = 2*x - prevMinEle
// Value of minEle was made equal to x
minEle = x
new minEle = 2 * minEle - y
= 2*x - (2*x - prevMinEle)
= prevMinEle // This is what we wanted
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Easy problems on Stack
Infix to Postfix ExpressionWrite a program to convert an Infix expression to Postfix form.Infix expression: The expression of the form "a operator b" (a + b) i.e., when an operator is in-between every pair of operands.Postfix expression: The expression of the form "a b operator" (ab+) i.e., When every pair of operands is foll
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Prefix to Infix ConversionInfix : An expression is called the Infix expression if the operator appears in between the operands in the expression. Simply of the form (operand1 operator operand2). Example : (A+B) * (C-D)Prefix : An expression is called the prefix expression if the operator appears in the expression before the
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Prefix to Postfix ConversionGiven a Prefix expression, convert it into a Postfix expression. Conversion of Prefix expression directly to Postfix without going through the process of converting them first to Infix and then to Postfix is much better in terms of computation and better understanding the expression (Computers evalu
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Postfix to Prefix ConversionPostfix: An expression is called the postfix expression if the operator appears in the expression after the operands. Simply of the form (operand1 operand2 operator). Example : AB+CD-* (Infix : (A+B) * (C-D) )Prefix : An expression is called the prefix expression if the operator appears in the expre
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Postfix to InfixPostfix to infix conversion involves transforming expressions where operators follow their operands (postfix notation) into standard mathematical expressions with operators placed between operands (infix notation). This conversion improves readability and understanding.Infix expression: The expressi
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Convert Infix To Prefix NotationGiven an infix expression consisting of operators (+, -, *, /, ^) and operands (lowercase characters), the task is to convert it to a prefix expression.Infix Expression: The expression of type a 'operator' b (a+b, where + is an operator) i.e., when the operator is between two operands.Prefix Express
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Valid Parentheses in an ExpressionGiven a string s representing an expression containing various types of brackets: {}, (), and [], the task is to determine whether the brackets in the expression are balanced or not. A balanced expression is one where every opening bracket has a corresponding closing bracket in the correct order.Exa
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Arithmetic Expression EvaluationThe stack organization is very effective in evaluating arithmetic expressions. Expressions are usually represented in what is known as Infix notation, in which each operator is written between two operands (i.e., A + B). With this notation, we must distinguish between ( A + B )*C and A + ( B * C ) b
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Evaluation of Postfix ExpressionGiven a postfix expression, the task is to evaluate the postfix expression. A Postfix expression is of the form "a b operator" ("a b +") i.e., a pair of operands is followed by an operator.Examples:Input: arr = ["2", "3", "1", "*", "+", "9", "-"]Output: -4Explanation: If the expression is converted
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How to Reverse a Stack using RecursionWrite a program to reverse a stack using recursion, without using any loop.Example: Input: elements present in stack from top to bottom 4 3 2 1Output: 1 2 3 4Input: elements present in stack from top to bottom 1 2 3Output: 3 2 1The idea of the solution is to hold all values in Function Call Stack un
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Reverse individual wordsGiven string str, we need to print the reverse of individual words.Examples: Input: Hello WorldOutput: olleH dlroWExplanation: Each word in "Hello World" is reversed individually, preserving the original order, resulting in "olleH dlroW".Input: Geeks for GeeksOutput: skeeG rof skeeG[Expected Approac
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Reverse a String using StackGiven a string str, the task is to reverse it using stack. Example:Input: s = "GeeksQuiz"Output: ziuQskeeGInput: s = "abc"Output: cbaAlso read: Reverse a String â Complete Tutorial.As we all know, stacks work on the principle of first in, last out. After popping all the elements and placing them bac
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Reversing a QueueYou are given a queue Q, and your task is to reverse the elements of the queue. You are only allowed to use the following standard queue operations:enqueue(x): Add an item x to the rear of the queue.dequeue(): Remove an item from the front of the queue.empty(): Check if the queue is empty or not.Exa
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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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