Say you have an array for which the ith
element is the price of a given stock on day i.
If you were only permitted to complete at most one transaction (ie, buy one and sell one share of the stock), design an algorithm to find the maximum profit.
Example 1:
Input: [7, 1, 5, 3, 6, 4]Output: 5max. difference = 6-1 = 5 (not 7-1 = 6, as selling price needs to be larger than buying price)
Example 2:
Input: [7, 6, 4, 3, 1]Output: 0In this case, no transaction is done, i.e. max profit = 0.
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题目
假设有一个数组，它的第i个元素是一支给定的股票在第i天的价格。如果你最多只允许完成一次交易(例如,一次买卖股票),设计一个算法来找出最大利润。
样例
给出一个数组样例 [3,2,3,1,2], 返回 1
Solution
Approach #1 (Brute Force) 暴力搜索
思路很简单，我们就要找出数组中，差值最大的两个数，要求是前一个数小，后一个数大，那么遍历两边即可，找出所有这样的差值，找出其中最大的一个
public int maxProfit(int prices[]) {
int maxprofit = 0;
for (int i = 0; i < prices.length - 1; i++) {
for (int j = i + 1; j < prices.length; j++) {
int profit = prices[j] - prices[i];
if (profit > maxprofit)
maxprofit = profit;
}
}
return maxprofit;
}
Approach #2 (One Pass) Greedy 贪婪法
通过一遍遍历，找出到此为止之前最小的min,并与当前的值求差，保存最大的差值，遍历完，最后的差值即是最大差值。
public int maxProfit(int prices[]) {
int minprice = Integer.MAX_VALUE;
int maxprofit = 0;
for (int i = 0; i < prices.length; i++) {
if (prices[i] < minprice)
minprice = prices[i];
else if (prices[i] - minprice > maxprofit)
maxprofit = prices[i] - minprice;
}
return maxprofit;
}
