Climbing Stairs 🧠
LeetCode Link: Climbing Stairs
Difficulty: Easy
Problem Explanation 📝
Problem: LeetCode 70 - Climbing Stairs
Description: You are climbing a staircase that has n steps. You can either climb 1 or 2 steps at a time. Return the number of distinct ways to climb to the top.
Intuition: To reach the nth step, we can either take a single step from the (n-1)th step or take two steps from the (n-2)th step. This forms the basis of our dynamic programming approach, as we can break down the problem into subproblems and build the solution from there.
Approach:
- Initialize an array dp of size (n+1) to store the number of distinct ways to reach each step.
- Set the base cases: dp[0] = 1 (no steps needed) and dp[1] = 1 (one step to reach the first step).
- Iterate from 2 to n:
- Compute dp[i] by summing up the number of ways to reach the previous two steps: dp[i] = dp[i-1] + dp[i-2].
- Return dp[n], which represents the number of distinct ways to reach the top step.
⌛ Time Complexity: The time complexity is O(n) since we iterate through the steps once.
💾 Space Complexity: The space complexity is O(n) since we use an array of size (n+1) to store the intermediate results.
Dynamic Programming:
- Subproblem: The subproblem is finding the number of distinct ways to reach the current step.
- Recurrence Relation: dp[i] = dp[i-1] + dp[i-2], where dp[i] represents the number of distinct ways to reach the ith step.
- Base Case: dp[0] = 1 and dp[1] = 1, as there is only one way to reach the first two steps.
Solutions 💡
Cpp 💻
class Solution {
public:
int climbStairs(int n) {
if (n <= 2) {
return n; // Base cases
}
vector<int> dp(n + 1);
dp[0] = 1;
dp[1] = 1;
for (int i = 2; i <= n; ++i) {
dp[i] = dp[i - 1] + dp[i - 2]; // Recurrence relation
}
return dp[n];
}
};
// O(1) Space
// class Solution {
// public:
// int climbStairs(int n) {
// if(n <= 2)
// return n;
// int first = 1, second = 2;
// for(int i = 2; i < n; i++) {
// int temp = second;
// second = first + second;
// first = temp;
// }
// return second;
// }
// };
Python 🐍
class Solution:
def climbStairs(self, n: int) -> int:
if n <= 2:
return n
prev1 = 1 # Number of ways to reach the 1st stair
prev2 = 2 # Number of ways to reach the 2nd stair
for i in range(3, n + 1):
current = prev1 + prev2
prev1, prev2 = prev2, current # Update for the next iteration
return prev2 # Number of ways to reach the n-th stair