Description
You are given an array prices
where prices[i]
is the price of a given stock on the ith
day, and an integer fee
representing a transaction fee.
Find the maximum profit you can achieve. You may complete as many transactions as you like, but you need to pay the transaction fee for each transaction.
Note:
- You may not engage in multiple transactions simultaneously (i.e., you must sell the stock before you buy again).
- The transaction fee is only charged once for each stock purchase and sale.
Example 1:
Input: prices = [1,3,2,8,4,9], fee = 2 Output: 8 Explanation: The maximum profit can be achieved by:
- Buying at prices[0] = 1
- Selling at prices[3] = 8
- Buying at prices[4] = 4
- Selling at prices[5] = 9 The total profit is ((8 - 1) - 2) + ((9 - 4) - 2) = 8.
Example 2:
Input: prices = [1,3,7,5,10,3], fee = 3 Output: 6
Constraints:
1 <= prices.length <= 5 * 104
1 <= prices[i] < 5 * 104
0 <= fee < 5 * 104
Code
DP
Time Complexity: , Space Complexity:
此題為 Best Time to Buy and Sell Stock II 的變形,只需要加上
T[i][0] = max(T[i - 1][0], T[i - 1][1] + prices[i - 1] - fee);
即可,在賣掉股票之後代表交易完成,才需要收手續費。
class Solution {
public:
int maxProfit(vector<int>& prices, int fee) {
int days = prices.size();
int T[days + 1][2];
// On day 0, no way ending up with stock in hand
T[0][0] = 0;
T[0][1] = -1e7;
for(int i = 1; i < days + 1; i++) {
T[i][0] = max(T[i - 1][0], T[i - 1][1] + prices[i - 1] - fee);
T[i][1] = max(T[i - 1][1], T[i - 1][0] - prices[i - 1]);
}
return T[days][0];
}
};