LeetCode
1. Best Time to Buy and Sell Stock with Transaction Fee(714)
Your are given an array of integers prices
, for which the i-th element is the price of a given stock on day i
; and a non-negative integer fee
representing a transaction fee.
You may complete as many transactions as you like, but you need to pay the transaction fee for each transaction. You may not buy more than 1 share of a stock at a time (ie. you must sell the stock share before you buy again.)
Return the maximum profit you can make.
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.
Note
0 < prices.length <= 50000
.0 < prices[i] < 50000
.0 <= fee < 50000
.
Solution
Approach #1: Dynamic Programming [Accepted]
Intuition and Algorithm
At the end of the i
-th day, we maintain cash
, the maximum profit we could have if we did not have a share of stock, and hold
, the maximum profit we could have if we owned a share of stock.
To transition from the i
-th day to the i+1
-th day, we either sell our stock cash = max(cash, hold + prices[i] - fee)
or buy a stock hold = max(hold, cash - prices[i])
. At the end, we want to return cash
. We can transform cash
first without using temporary variables because selling and buying on the same day can't be better than just continuing to hold the stock.
Python
class Solution(object):
def maxProfit(self, prices, fee):
cash, hold = 0, -prices[0]
for i in range(1, len(prices)):
cash = max(cash, hold + prices[i] - fee)
hold = max(hold, cash - prices[i])
return cash
Java
class Solution {
public int maxProfit(int[] prices, int fee) {
int cash = 0, hold = -prices[0];
for (int i = 1; i < prices.length; i++) {
cash = Math.max(cash, hold + prices[i] - fee);
hold = Math.max(hold, cash - prices[i]);
}
return cash;
}
}
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