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给定一个数组,它的第 i 个元素是一支给定股票第 i 天的价格。
设计一个算法来计算你所能获取的最大利润。你可以尽可能地完成更多的交易(多次买卖一支股票)。
注意:你不能同时参与多笔交易(你必须在再次购买前出售掉之前的股票)。
Example 1: Input: [7,1,5,3,6,4] Output: 7 Explanation: Buy on day 2 (price = 1) and sell on day 3 (price = 5), profit = 5-1 = 4. Then buy on day 4 (price = 3) and sell on day 5 (price = 6), profit = 6-3 = 3. Example 2: Input: [1,2,3,4,5] Output: 4 Explanation: Buy on day 1 (price = 1) and sell on day 5 (price = 5), profit = 5-1 = 4. Note that you cannot buy on day 1, buy on day 2 and sell them later, as you are engaging multiple transactions at the same time. You must sell before buying again. Example 3: Input: [7,6,4,3,1] Output: 0 Explanation: In this case, no transaction is done, i.e. max profit = 0.
solution:感觉还是没有用到动态规划的东西,只要后面一天的的股票比前一天高,就把股票的利润加到收益中
class Solution(object):
def maxProfit(self, prices):
"""
:type prices: List[int]
:rtype: int
"""
# 只要后面的股票价格比前一天高,就把利润添加到收益中。
maxP = 0
for i in range(len(prices)-1):
if (prices[i+1]>prices[i]):
maxP+=(prices[i+1]-prices[i])
return maxP
用C++重新写一下:
class Solution {
public:
int maxProfit(vector<int>& prices) {
if(prices.empty())
return 0;
int profit=0;
for(int i=1;i<prices.size();i++){
if(prices[i]>prices[i-1])
profit += prices[i]-prices[i-1];
}
return profit;
}
};
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