题目地址:Best Time to Buy and Sell Stock II - LeetCode
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 as many transactions as you like (i.e., buy one and sell one share of the stock multiple times).
Note: You may not engage in multiple transactions at the same time (i.e., you must sell the stock before you buy again).
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.
这道题目可以买卖多次,用贪心就可以解出来了。
Python解法如下:
class Solution:
def maxProfit(self, prices: List[int]) -> int:
hold=0
profit=0
now=-1
for i in prices:
if now==-1:
now=i
elif i<now:
now=i
elif i>now:
profit+=i-now
now=i
return profit
Java解法如下:
class Solution {
public int maxProfit(int[] prices) {
int i = 0;
if (prices.length==0){
return 0;
}
int valley = prices[0];
int peak = prices[0];
int maxprofit = 0;
while (i < prices.length - 1) {
while (i < prices.length - 1 && prices[i] >= prices[i + 1])
i++;
valley = prices[i];
while (i < prices.length - 1 && prices[i] <= prices[i + 1])
i++;
peak = prices[i];
maxprofit += peak - valley;
}
return maxprofit;
}
}
C++解法如下:
class Solution {
public:
int maxProfit(vector<int>& prices) {
int len=prices.size();
int profit=0;
if(len==0||len==1)
return 0;
for(int i=0;i<len-1;i++)
{
if(prices[i]<prices[i+1])
profit+=prices[i+1]-prices[i];
}
return profit;
}
};

本文探讨了在给定股价数组的情况下,如何通过多次买卖操作实现最大利润的问题。使用Python、Java和C++提供了详细的算法解决方案,包括贪心算法的应用。
498

被折叠的 条评论
为什么被折叠?



