Leetcode Best Time to Buy and Sell Stock III
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/*** 题目:https://oj.leetcode.com/problems/best-time-to-buy-and-sell-stock-iii/* 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).O(n^2)的算法很容易想到:找寻一个点j,将原来的price[0..n-1]分割为price[0..j]和price[j..n-1],分别求两段的最大profit。进行优化:对于点j+1,求price[0..j+1]的最大profit时,很多工作是重复的,在求price[0..j]的最大profit中已经做过了。类似于Best Time to Buy and Sell Stock,可以在O(1)的时间从price[0..j]推出price[0..j+1]的最大profit。但是如何从price[j..n-1]推出price[j+1..n-1]?反过来思考,我们可以用O(1)的时间由price[j+1..n-1]推出price[j..n-1]。最终算法:数组l[i]记录了price[0..i]的最大profit,数组r[i]记录了price[i..n]的最大profit。已知l[i],求l[i+1]是简单的,同样已知r[i],求r[i-1]也很容易。最后,我们再用O(n)的时间找出最大的l[i]+r[i],即为题目所求。* 参考:http://blog.csdn.net/pickless/article/details/12034365* */class Solution {public: int maxProfit(vector<int> &prices) { const int size = prices.size(); if(size <= 1){ return 0; } int profitLeft[size]; int profitRight[size]; int profit = 0; int i = 0; int min = 0; int max = 0; memset(profitLeft, 0, sizeof(int) * size); memset(profitRight, 0, sizeof(int) * size); //store the maxProfit into profitLeft[i], from left to right //profit = 0; min = prices[0]; for(i = 1; i < size; i++){ //profitLeft[i] = (prices[i] - min) > profitLeft[i -1] ? (prices[i] - min) : profitLeft[i - 1]; //min = prices[i] < min ? prices[i] : min; if(prices[i] - min > profitLeft[i -1]){//注意,此处不要写成if(prices[i] - min > profit){ profitLeft[i] = prices[i] - min; } else { profitLeft[i] = profitLeft[i - 1]; } if(prices[i] < min){ min = prices[i]; } } //store the maxProfit into profitRight[i], from right to left // profit = 0; max = prices[size - 1]; for(i = size - 2; i >= 0; i--){ if(max - prices[i] > profitRight[i + 1]){//注意,此处不要写成if(max - prices[i] > profit){ profitRight[i] = max - prices[i]; } else { profitRight[i] = profitRight[i + 1]; } if(prices[i] > max){ max = prices[i]; } } profit = profitRight[0] + profitLeft[0]; for(i = 1; i < size; i++){ if(profitRight[i] + profitLeft[i] > profit){ profit = profitRight[i] + profitLeft[i]; } } return profit; }};
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