Climbing Stairs
Easy
Dynamic ProgrammingFibonacci
Problem
You are climbing a staircase with n steps. Each move you can take 1 or 2 steps. How many distinct ways can you reach the top?
Example 1
Input: n = 2
Output: 2
Explain: 1+1 or 2
Example 2
Input: n = 3
Output: 3
Explain: 1+1+1, 1+2, 2+1
Example 3
Input: n = 5
Output: 8
Constraints
- 1 ≤ n ≤ 45
Approach — Dynamic Programming
This is a Dynamic Programming problem. The idea: break the problem into overlapping subproblems and build the answer up, caching results so nothing is recomputed. Work through the reference code below line by line, then re-derive it yourself in the editor — that's how the pattern sticks.
Complexity: O(n) to O(n²) time.
Solution code
Python
class Solution:
def climbStairs(self, n):
a, b = 1, 1
for _ in range(n):
a, b = b, a + b
return a
Java
class Solution {
public int climbStairs(int n) {
if (n <= 2) {
return n;
}
int oneStepBefore = 2;
int twoStepsBefore = 1;
for (int i = 3; i <= n; i++) {
int current = oneStepBefore + twoStepsBefore;
twoStepsBefore = oneStepBefore;
oneStepBefore = current;
}
return oneStepBefore;
}
}
Practice it
Reading a solution isn't the same as being able to write it under pressure. Open this problem in the in-browser editor, hide the solution, and solve it from scratch — your code runs against real test cases instantly.
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