题目:Say you have an array for which the ith element is the price of a given stock on day i.
Design an algorithm to find the maximum profit. You may complete at most two transactions.
Note:
You may not engage in multiple transactions at the same time (ie, you must sell the stock before you buy again).
思路:动态规划+从前到后
第一种方法是:从前往后,如果比之前最小的还小,替代他,并且用ans保存当前与最小值的大小,每一次只需要判断是否比最小值小,要么就是判断与之前的最小值比较是否比ans大。
第二种方法以后再更新。
代码:
//本题只能买卖1次,从前到后 //写出了两种解法。 class Solution1 { public: //https://leetcode.com/problems/best-time-to-buy-and-sell-stock/ int maxProfit(vector<int>& prices) { int ans=0; if(prices.empty()){ return 0; } int low=prices[0]; for(int i=1;i<prices.size();i++){ if(prices[i]<low){ low=prices[i]; }else if(prices[i]-low>ans){ ans=prices[i]-low; } } return ans; } }; class Solution2 { public: int maxProfit(vector<int> &prices) { int length=prices.size(); if(length<=1){ return 0; } vector<int> dp(length,0); int min=prices[0]; for(int i=1;i<length;i++){ if(prices[i]<=min){ min=prices[i]; } dp[i]=max( dp[i-1],prices[i]-min ); } sort(dp.begin(),dp.end()); return dp.back(); } }; //dp[i] 表示[0...i]内最大值,则dp[i+1]=max(dp[i],prices[i+1]-min) //min是[0...i]内的最小值