[抄题]:

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.

[暴力解法]:

时间分析:

空间分析:

[优化后]:

时间分析:

空间分析:

[奇葩输出条件]:

[奇葩corner case]:

[思维问题]:

[一句话思路]:

[输入量]:空: 正常情况:特大:特小:程序里处理到的特殊情况:异常情况(不合法不合理的输入):

[画图]:

[一刷]:

[二刷]:

[三刷]:

[四刷]:

[五刷]:

[五分钟肉眼debug的结果]:

[总结]:

基本设定是:卖会赚钱,买会赔钱

[复杂度]:Time complexity: O(n) Space complexity: O(1)

[英文数据结构或算法,为什么不用别的数据结构或算法]:

https://leetcode.com/problems/best-time-to-buy-and-sell-stock-with-transaction-fee/discuss/108870/Most-consistent-ways-of-dealing-with-the-series-of-stock-problems

[算法思想:递归/分治/贪心]:

[关键模板化代码]:

[其他解法]:

[Follow Up]:

[LC给出的题目变变变]:

[代码风格] :

class Solution {
public int maxProfit(int[] prices, int fee) {
//ini: T_ik0, T_ik(1, T_ik0_old
int T_ik0 = 0, T_ik1 = Integer.MIN_VALUE; //for loop
for (int price : prices) {
int T_ik0_old = T_ik0;
T_ik0 = Math.max(T_ik0, T_ik1 + price);
T_ik1 = Math.max(T_ik1, T_ik0_old - price - fee);
} return T_ik0;
}
}

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