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You are climbing a staircase. It takes n
steps to reach the top.
Each time you can either climb 1
or 2
steps. In how many distinct ways can you climb to the top?
Example 1:
Input: n = 2 Output: 2 Explanation: There are two ways to climb to the top. 1. 1 step + 1 step 2. 2 steps
Example 2:
Input: n = 3 Output: 3 Explanation: There are three ways to climb to the top. 1. 1 step + 1 step + 1 step 2. 1 step + 2 steps 3. 2 steps + 1 step
Constraints:
1 <= n <= 45
Python
class Solution:
# time complexity: O(n)
# space complexity: O(n)
# Cashe with brute force
# def climbStairs(self, n: int) -> int:
# memo = [0] * (n+1)
# return self.climb_Stairs(0, n, memo)
# time complexity: O(n)
# space complexity: O(n)
# def climb_Stairs(self, i: int, n: int, memo: list) -> int:
# if (i > n):
# return 0
# if (i == n):
# return 1
# if (memo[i]):
# return memo[i]
# memo[i] = self.climb_Stairs(i+1, n, memo) + \
# self.climb_Stairs(i+2, n, memo)
# return memo[i]
# time complexity: O(n)
# space complexity: O(b)
# Dynamic Programming
# def climbStairs(self, n: int):
# if n == 1:
# return 1
# dp = [0] * (n + 1)
# dp[1] = 1
# dp[2] = 2
# for i in range(3, n+1):
# dp[i] = dp[i-1] + dp[i-2]
# return dp[n]
# time complexity: O(n)
# space complexity: O(1)
# Fibonacci Number
def climbStairs(self, n: int) -> int:
if n == 1:
return 1
first = 1
second = 2
third = 0
for i in range(3, n+1):
third = first + second
first = second
second = third
return second
n = 50
print(Solution().climbStairs(50))