188.Best Time to Buy and Sell Stock IV

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 at most k transactions.

Note:
You may not engage in multiple transactions at the same time (ie, you must sell the stock before you buy again).

Example 1:

Input: [2,4,1], k = 2
Output: 2
Explanation: Buy on day 1 (price = 2) and sell on day 2 (price = 4), profit = 4-2 = 2.

Example 2:

Input: [3,2,6,5,0,3], k = 2
Output: 7
Explanation: Buy on day 2 (price = 2) and sell on day 3 (price = 6), profit = 6-2 = 4.
Then buy on day 5 (price = 0) and sell on day 6 (price = 3), profit = 3-0 = 3.

class Solution:
    def maxProfit(self, k, prices):
        """
        :type k: int
        :type prices: List[int]
        :rtype: int
        """
        if k<1 or len(prices)<2:
            return 0
        if k>len(prices):
            res = 0
            for i in range(1,len(prices)):
                if prices[i]>prices[i-1]:
                    res += prices[i] - prices[i-1]
            return res
        buy = [-100000 for i in range(k)]
        sell = [0 for i in range(k)]
        for i in prices:
            buy[0] = max(buy[0],-i)
            sell[0] = max(sell[0],buy[0]+i)
            for j in range(1,k):
                buy[j] = max(buy[j],sell[j-1]-i)
                sell[j] = max(sell[j],buy[j]+i)
        return sell[-1]

一开始提交TLE,发现给了个k=1000000000,len(prices)只有10000,这种情况下超时了。这种情况下就等于不限制交易次数,可以简化之。

原文地址:https://www.cnblogs.com/bernieloveslife/p/9748604.html