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).

解题思路:

话说这题同前两题难度瞬间就拉开好多,哎,编程能力还是不行啊,如果不是谷歌各路大神解题报告http://blog.csdn.net/pickless/article/details/12034365,真心想不出来。

这题实际上用到了DP和分段的思想。

首先,根据题意,要求至少买卖两次(就因为有这限制,使得题目难度突然就增加了),所以,我们可以进行分段。

寻找一个点i,将原来的price[0..n-1]分割为price[0..i]和price[i..n-1],分别求两段的最大profit,可知分段就是使得买卖至少进行两次。

下面求price[0..i]和price[i..n-1]两段的最大profit时,利用了DP思想。

对于点i+1,求price[0..i+1]的最大profit时,很多工作是重复的,在求price[0..i]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..i]推出price[0..i+1]的最大profit。

但是如何从price[i..n-1]推出price[i+1..n-1]?反过来思考,我们可以用O(1)的时间由price[i+1..n-1]推出price[i..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。

实现代码:

#include <iostream>
#include <vector>
using namespace std; /**
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). */ class Solution {
public:
int maxProfit(vector<int> &prices) {
if(prices.empty())
return 0;
int n = prices.size();
int *l = new int[n];
int *r = new int[n];
l[0] = 0;
int lmin = prices[0];
for(int i = 1; i < n; i++)
{
lmin = min(prices[i],lmin);
l[i] = max(l[i-1], prices[i] - lmin);
} r[n-1] = 0;
int rmax = prices[n-1];
for(int i = n - 2; i >= 0; i--)
{
rmax = max(rmax, prices[i]);
r[i] = max(r[i+1], rmax - prices[i]);
} int maxprofit = 0;
for(int i = 0; i < n; i++)
{
maxprofit = max(maxprofit, l[i] + r[i]);
}
delete l;
delete r;
return maxprofit; }
}; int main(void)
{
int arr[] = {2,4,5,1,7,10};
int n = sizeof(arr) / sizeof(arr[0]);
vector<int> stock(arr, arr+n);
Solution solution;
int max = solution.maxProfit(stock);
cout<<max<<endl;
return 0;
}

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