From b23a26772f8e976d0f0079fbeae254dcf1414d3c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=94=90=E6=A0=91=E6=A3=AE?= <14021051@buaa.edu.cn> Date: Fri, 12 Oct 2018 23:40:15 +0800 Subject: [PATCH] Create 70. Climbing Stairs.md --- 70. Climbing Stairs.md | 38 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 38 insertions(+) create mode 100644 70. Climbing Stairs.md diff --git a/70. Climbing Stairs.md b/70. Climbing Stairs.md new file mode 100644 index 0000000..f522502 --- /dev/null +++ b/70. Climbing Stairs.md @@ -0,0 +1,38 @@ +# [70. Climbing Stairs](https://leetcode.com/problems/climbing-stairs/description/) +# 思路 +简单的动态规划。 +按照最后是跨一步还是两步可以将到达第n步的所有情况分为两种: +* 1、从第n-2步阶梯一下跨两步到第n步阶梯; +* 2、从第n-1步阶梯跨一步到第n步阶梯; +即若dp[i]代表跨到第i步阶梯的情况数,那么`dp[i] = dp[i - 1] + dp[i - 2]`。 +时间复杂度和空间复杂度都为O(n),可将空间复杂度优化为O(1) +# C++ +``` +class Solution { +public: + int climbStairs(int n) { + vectordp(n + 1); + dp[0] = 1; + dp[1] = 1; + for(int i = 2; i <= n;i++){ + dp[i] = dp[i - 1] + dp[i - 2]; + } + return dp[n]; + } +}; +``` +空间优化后的版本: +``` +class Solution { +public: + int climbStairs(int n) { + int tmp, pre = 1, res = 1; + for(int i = 2; i <= n;i++){ + tmp = res; + res += pre; + pre = tmp; + } + return res; + } +}; +```