Leetcode 123. Best Time to Buy and Sell Stock III
阿新 • • 發佈:2018-12-13
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 two transactions.
Note: You may not engage in multiple transactions at the same time (i.e., you must sell the stock before you buy again).
Example 1:
Input: [3,3,5,0,0,3,1,4] Output: 6 Explanation: Buy on day 4 (price = 0) and sell on day 6 (price = 3), profit = 3-0 = 3. Then buy on day 7 (price = 1) and sell on day 8 (price = 4), profit = 4-1 = 3.
Example 2:
Input: [1,2,3,4,5] Output: 4 Explanation: Buy on day 1 (price = 1) and sell on day 5 (price = 5), profit = 5-1 = 4. Note that you cannot buy on day 1, buy on day 2 and sell them later, as you are engaging multiple transactions at the same time. You must sell before buying again.
Example 3:
Input: [7,6,4,3,1] Output: 0 Explanation: In this case, no transaction is done, i.e. max profit = 0.
Answer: (weijiac ’s answer)
到當前價格,有四種情況:
股票2:
a.在當前價格買入或不買入,買入時手中的錢已經有股票1所賺的錢,hold2=max(release1-p,hold2)
b.在當前價格賣出或不賣出,release2=max(hold2+p,release2)
股票1:
a.在當前價格買入或不買入,hold1=max(-p,hold1)
b.在當前價格賣出或不賣出,release1=max(hold1+p,release1)
class Solution(object):
def maxProfit(self, prices):
"""
:type prices: List[int]
:rtype: int
"""
hold1=-99999999
hold2=-99999999
release1=0
release2=0
for p in prices:
release2=max(hold2+p,release2)
hold2=max(release1-p,hold2)
release1=max(hold1+p,release1)
hold1=max(-p,hold1)
return release2