Best Time to Buy and Sell Stock with Transaction Fee(greddy, dp)
Your are given an array of integersprices, for which thei-th element is the price of a given stock on dayi; and a non-negative integerfeerepresenting 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.
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.
. state is a switch variable
. when state >= fee, all incoming positive price movement will become profit
. when state <= 0, that, all incoming negative price movement will be discarded
class Solution {
public int maxProfit(int[] prices, int fee) {
int ret = 0, state = 0;
int lastPrice = prices[0];
for(int i = 1; i < prices.length; i ++){
state += prices[i] - lastPrice;
if(state > fee){
ret += state - fee;
state = fee;
}else if(state < 0){
state = 0;
}
lastPrice = prices[i];
}
return ret;
}
}
hold[i] - the maximum profit you can earn if you have to hold at day[i]
sold[i] - the maximum profit you can earn if you have to sold at day[i]
Formula:
hold[i] = max(hold[i - 1], sold[i - 1] - p[i]) // if hold at [i-1], no op; if sold at [i-1], buy at [i] with cost of p[i];
sold[i] = max(sold[i - 1], hold[i - 1] + p[i] - fee) // if sold at [i-1], no op; if hold at [i-1], sell at [i] with gain of p[i] - fee;
Initialization:
hold[0] = 0 - price[0]; // buy shares with cost of p[0];
sold[0] = 0; // no op no cost;
class Solution {
public int maxProfit(int[] prices, int fee) {
int n = prices.length;
int[] sell= new int[n];
int[] hold = new int[n];
hold[0] = -prices[0];
for(int i = 1; i < n; i ++){
sell[i] = Math.max(sell[i-1], hold[i-1] + prices[i] - fee);
hold[i] = Math.max(hold[i-1], sell[i-1] - prices[i]);
}
return sell[n-1];
}
}