70. 爬楼梯(Climbing Stairs)E
英文题目
You are climbing a stair case. It takes n steps to reach to 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: 2 Output: 2 Explanation: There are two ways to climb to the top. 1. 1 step + 1 step 2. 2 steps
Example 2:
Input: 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
中文题目
假设你正在爬楼梯。需要 n 阶你才能到达楼顶。
每次你可以爬 1 或 2 个台阶。你有多少种不同的方法可以爬到楼顶呢?
注意:给定 n 是一个正整数。
示例 1:
输入: 2 输出: 2 解释: 有两种方法可以爬到楼顶。 1. 1 阶 + 1 阶 2. 2 阶
示例 2:
输入: 3 输出: 3 解释: 有三种方法可以爬到楼顶。 1. 1 阶 + 1 阶 + 1 阶 2. 1 阶 + 2 阶 3. 2 阶 + 1 阶
动态规划
其实就是动态规划问题,斐波那契
用表示爬到第 x 级台阶的方案数,考虑最后一步可能跨了一级台阶,也可能跨了两级台阶,可列出如下式子:
意味着爬到第 x 级台阶的方案数是爬到第 x - 1 级台阶的方案数和爬到第 x - 2 级台阶的方案数的和
# python3: 时间 36 ms, 击败 83.11%; 内存 15.9 MB, 击败 58.72% class Solution: def climbStairs(self, n: int) -> int: if n <= 2: return n prev, curr = 1, 2 for _ in range(3, n+1): prev, curr = curr, prev + curr return curr
// c++: 时间 4 ms, 击败 24.60%; 内存 5.8 MB, 击败 66.65% class Solution { public: int climbStairs(int n) { if (n <= 2) { return n; } int prev = 1, curr = 2; for (int i = 3; i <= n; ++i) { int next = prev + curr; prev = curr; curr = next; } return curr; } };
// java: 时间 0 ms, 击败 100%; 内存 38 MB, 击败 85.90% class Solution { public int climbStairs(int n) { if (n <= 2) { return n; } int prev = 1, curr = 2; for (int i = 3; i <= n; ++i) { int next = prev + curr; prev = curr; curr = next; } return curr; } }
// go: 时间 0 ms, 击败 100%; 内存 1.7 MB, 击败 99.87% func climbStairs(n int) int { if n <= 2 { return n } prev, curr := 1, 2 for i := 3; i <= n; i++ { prev, curr = curr, prev + curr } return curr }
// javascript: 时间 60 ms, 击败 62.66%; 内存 40.8 MB, 击败 57.79% /** * @param {number} n * @return {number} */ var climbStairs = function(n) { if (n <= 2) { return n; } let prev = 1, curr = 2; for (let i = 3; i <= n; ++i) { let next = prev + curr; prev = curr; curr = next; } return curr; };