[LeetCOde][Java] Best Time to Buy and Sell Stock III

题目:

Say you have an array for which theithelement is the price of a given stock on dayi.

Design an algorithm to find the maximum profit. You may complete at mosttwotransactions.

Note:You may not engage in multiple transactions at the same time (ie, you must sell the stock before you buy again).

算法分析:

利用通用的算法《Best Time to Buy and Sell Stock IV》 将k变为2 就ok

AC代码:

<span style="font-family:Microsoft YaHei;font-size:12px;">public class Solution{public int maxProfit(int[] prices){return maxProfit(2,prices);}public int maxProfit(int k, int[] prices){if(prices==null || prices.length==0)return 0;if(k>prices.length)//k次数大于天数时,转化为问题《Best Time to Buy and Sell Stock II》–无限次交易的情景{if(prices==null)return 0;int res=0;for(int i=0;i<prices.length-1;i++){int degit=prices[i+1]-prices[i];if(degit>0)res+=degit;}return res;}/*定义维护量:global[i][j]:在到达第i天时最多可进行j次交易的最大利润,此为全局最优local[i][j]:在到达第i天时最多可进行j次交易并且最后一次交易在最后一天卖出的最大利润,此为局部最优定义递推式:global[i][j]=max(global[i-1][j],local[i][j]);即第i天没有交易,和第i天有交易local[i][j]=max(global[i-1][j-1]+max(diff,0),local[i-1][j]+diff) diff=price[i]-price[i-1];*/int[][] global=new int[prices.length][k+1];int[][] local=new int[prices.length][k+1];for(int i=0;i<prices.length-1;i++){int diff=prices[i+1]-prices[i];for(int j=0;j<=k-1;j++){local[i+1][j+1]=Math.max(global[i][j]+Math.max(diff,0),local[i][j+1]+diff);global[i+1][j+1]=Math.max(global[i][j+1],local[i+1][j+1]);}}return global[prices.length-1][k];}}</span>

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没有预兆目的地在哪,前进的脚步不能停下,

[LeetCOde][Java] Best Time to Buy and Sell Stock III

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