A Min Stack is a special stack that supports retrieving the minimum element in constant time, along with normal stack operations like push and pop.
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intermediate
How does a Min Stack keep track of the minimum element efficiently?
It uses an auxiliary stack to keep track of the minimum values at each level, so the current minimum can be retrieved in O(1) time.
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beginner
In Min Stack design, what happens when you push a new element smaller than or equal to the current minimum?
You push the new element onto the main stack and also push it onto the min stack because it becomes the new minimum.
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beginner
What is the time complexity of retrieving the minimum element from a Min Stack?
The time complexity is O(1) because the minimum element is always on top of the auxiliary min stack.
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intermediate
Why do we need to pop from both the main stack and the min stack in a Min Stack?
Because when the top element is removed from the main stack, if it is the current minimum, it must also be removed from the min stack to update the minimum correctly.
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What data structure is commonly used alongside the main stack in a Min Stack design?
AHash map for element counts
BQueue to track elements
CLinked list to store minimums
DAnother stack to track minimum values
✗ Incorrect
An auxiliary stack is used to keep track of minimum values at each push.
What is the time complexity of the push operation in a Min Stack?
AO(n)
BO(log n)
CO(1)
DO(n^2)
✗ Incorrect
Push operation is O(1) because it involves pushing onto the main stack and possibly the min stack.
When popping from a Min Stack, when do you pop from the min stack?
AOnly if popped element equals current minimum
BAlways pop from min stack
CNever pop from min stack
DPop from min stack if stack size is even
✗ Incorrect
Pop from min stack only if the popped element is the current minimum.
What does the top of the min stack represent at any time?
AThe maximum element in the stack
BThe minimum element in the stack
CThe last pushed element
DThe size of the stack
✗ Incorrect
The top of the min stack always holds the current minimum element.
Which operation is NOT supported efficiently by a Min Stack?
AGet median
BPop
CPush
DGet minimum
✗ Incorrect
Min Stack does not support efficient median retrieval.
Explain how a Min Stack maintains the minimum element during push and pop operations.
Think about how two stacks work together to track minimum.
You got /4 concepts.
Describe the time complexity of push, pop, and getMin operations in a Min Stack and why.
Focus on how auxiliary stack helps avoid scanning.
You got /4 concepts.
Practice
(1/5)
1. What is the main purpose of a Min Stack data structure?
easy
A. To reverse the order of elements
B. To retrieve the minimum element in constant time
C. To store elements in a queue fashion
D. To sort elements in ascending order
Solution
Step 1: Understand Min Stack functionality
A Min Stack is designed to allow retrieval of the minimum element quickly, usually in constant time.
Step 2: Compare with other options
Sorting or queue behavior is not the main goal of a Min Stack; it focuses on minimum element retrieval.
Final Answer:
To retrieve the minimum element in constant time -> Option B
Quick Check:
Min Stack = fast minimum retrieval [OK]
Hint: Min Stack always tracks minimum element fast [OK]
Common Mistakes:
Confusing Min Stack with sorting algorithms
Thinking it behaves like a queue
Assuming it reverses elements
2. Which of the following is the correct way to declare a stack node structure for a Min Stack in C?
easy
A. typedef struct Node { int value; struct Node* next; int min; } Node;
B. typedef struct Node { int value; int min; } Node;
C. typedef struct Node { int value; struct Node* prev; } Node;
D. typedef struct Node { int value; struct Node* next; } Node;
Solution
Step 1: Identify required fields for Min Stack node
A Min Stack node needs to store the value, a pointer to the next node, and the minimum value at that node.
Step 2: Match with options
typedef struct Node { int value; struct Node* next; int min; } Node; includes value, next pointer, and min field, which is correct for Min Stack implementation.
Final Answer:
typedef struct Node { int value; struct Node* next; int min; } Node; -> Option A
Quick Check:
Node stores value, next, and min [OK]
Hint: Min Stack node needs value, next pointer, and min [OK]
Common Mistakes:
Omitting the min field in node
Using prev pointer instead of next
Not using struct pointer for next
3. Consider the following C code snippet for a Min Stack push operation:
What will be the minimum value after pushing elements 3, 5, 2 in this order on an empty stack?
medium
A. 2
B. 3
C. 5
D. Error
Solution
Step 1: Push 3 on empty stack
Stack top is NULL, so min = 3.
Step 2: Push 5
Compare 5 with current min 3; min remains 3.
Step 3: Push 2
Compare 2 with current min 3; min updates to 2.
Final Answer:
2 -> Option A
Quick Check:
Minimum after pushes = 2 [OK]
Hint: Min updates only if new value is smaller [OK]
Common Mistakes:
Not updating min on push
Confusing min with last pushed value
Assuming min resets on each push
4. The following C function is intended to pop an element from a Min Stack. Identify the error:
int pop(Node** top) {
if (*top == NULL) return -1;
int val = (*top)->value;
free(*top);
*top = (*top)->next;
return val;
}
medium
A. Not checking if stack is empty
B. Returning value before freeing node
C. Accessing (*top)->next after freeing *top
D. Missing return statement
Solution
Step 1: Analyze order of operations
The code frees *top, then accesses (*top)->next, which is invalid after free.
Step 2: Correct order
Should save next pointer before freeing current node to avoid invalid access.
Final Answer:
Accessing (*top)->next after freeing *top -> Option C
Quick Check:
Free before next access causes error [OK]
Hint: Save next pointer before freeing node [OK]
Common Mistakes:
Freeing node before accessing next
Ignoring NULL check
Returning value after free without saving
5. You want to design a Min Stack that supports push, pop, and getMin all in O(1) time using two stacks. Which approach correctly implements getMin?
hard
A. Use a queue to track minimum values
B. Sort the main stack on every push to keep minimum on top
C. Traverse the main stack on every getMin call to find minimum
D. Maintain a second stack that stores the minimum values; push new min or duplicate current min on push
Solution
Step 1: Understand two-stack Min Stack design
One stack stores all values; the second stack keeps track of minimums for O(1) retrieval.
Step 2: Evaluate options
Maintain a second stack that stores the minimum values; push new min or duplicate current min on push correctly describes pushing new minimum or current minimum duplicate onto second stack.
Final Answer:
Maintain a second stack that stores the minimum values; push new min or duplicate current min on push -> Option D
Quick Check:
Two stacks: one for values, one for mins [OK]
Hint: Use second stack to track mins for O(1) getMin [OK]
Common Mistakes:
Sorting stack on every push (slow)
Searching stack on getMin (not O(1))
Using queue instead of stack
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