Climbing Stairs - LeetCode | Dynamic Programming Explained

Опубликовано: 06 Февраль 2025
на канале: Bhonesh Chawla Education

In this video, we solve the Climbing Stairs problem from LeetCode. This is a classic dynamic programming question that helps build a strong foundation for solving Fibonacci-style problems.

🔹 Problem Statement:
You are climbing a staircase with n steps. Each time you can climb 1 or 2 steps. In how many distinct ways can you reach the top?

🔹 Approach:
✅ Recursive solution (Brute Force)
✅ Tabulation (Bottom-Up DP)

🔹 Complexity Analysis:
📌 Brute Force: Exponential (O(2ⁿ))
📌 Memoization: O(n) Time, O(n) Space
📌 Tabulation: O(n) Time, O(n) Space

📌 Code & Explanation:
👉 Watch the full video for step-by-step breakdown and implementation in Python/C++/Java!

🔔 Subscribe for more LeetCode solutions and coding interview tips!

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