Min Stack Explained | Stack Design Pattern | Get Minimum in O(1) Time | Java, Python & C++

In this video, we solve one of the most important stack design problems:
Min Stack (LeetCode 155) using the Stack Design Pattern.

The goal is to design a stack that supports:

push()
pop()
top()
getMin()

where getMin() should return the minimum element in constant O(1) time.

We start with the brute force intuition where finding the minimum element requires traversing the entire stack, and then optimize it using an auxiliary stack that keeps track of the minimum element at every stage.

In this video, you will learn:

Brute force approach and its limitations
How to design a Min Stack efficiently
Using an extra stack to store minimums
Why getMin() works in O(1)
Step-by-step optimized solution
Time and space complexity analysis

This problem is extremely important for interviews because it teaches:

Stack Design Pattern
Auxiliary Data Structures
Constant Time Optimization
Efficient Data Structure Design

This pattern is widely used in many advanced stack problems and helps build strong problem-solving intuition for coding interviews.

Rising Brain (DSA Sheet):
https://www.risingbrain.org/sheet

Connect with me here:

LinkedIn – https://www.linkedin.com/in/anjalikumari22/

Instagram – https://www.instagram.com/rbanjali.codes/

Twitter (X) – https://x.com/anjali1kumari?s=21

Видео Min Stack Explained | Stack Design Pattern | Get Minimum in O(1) Time | Java, Python & C++ канала RisingBrain