leetcode 122. Best Time to Buy and Sell Stock II

股票买卖最大利润算法
本文介绍了一种计算股票交易最大利润的算法。该算法允许进行多次买卖操作,但每次卖出后才能再次购买。通过两种实现方式,一种是记录买入卖出的价格差,另一种是逐个比较相邻两天的价格来累积利润。

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 as many transactions as you like (ie, buy one and sell one share of the stock multiple times). However, you may not engage in multiple transactions at the same time (ie, you must sell the stock before you buy again).

思路很简单,只要看到价格涨,就在最低点买进,最高点卖出!

class Solution(object):
    def maxProfit(self, prices):
        """
        :type prices: List[int]
        :rtype: int
        """
        # buy at lowest value, and sell it at highest
        if not prices: return 0
        ans = 0
        lowest = highest = prices[0]
        is_grow = False
        for i in xrange(1, len(prices)):
            if prices[i] > prices[i-1]:
                highest = prices[i]
                is_grow = True
            else:
                if is_grow: # ^ point
                    ans += highest - lowest
                lowest = prices[i]
                is_grow = False
        if is_grow:
            ans += highest - lowest
        return ans                    

直接绘图就知道上面解法和下面是等价的:

就是贪心,看到涨就买进卖出!!!

public class Solution {
public int maxProfit(int[] prices) {
    int total = 0;
    for (int i=0; i< prices.length-1; i++) {
        if (prices[i+1]>prices[i]) total += prices[i+1]-prices[i];
    }
    
    return total;
}

 

还有贪心的解法,先找到最低点,再找最高点:

class Solution(object):
    def maxProfit(self, prices):
        """
        :type prices: List[int]
        :rtype: int
        """
        # buy at lowest value, and sell it at highest
        if not prices: return 0
        ans = 0
        i = 0
        length = len(prices)
        # 3 2 1
        # 1 2 3
        while i < length:
            while i<length-1 and prices[i]>=prices[i+1]: i += 1
            if i == length-1: break
            lowest = prices[i] 
            while i<length-1 and prices[i]<prices[i+1]: i += 1  
            ans += prices[i]-lowest #到这里,只能是i==length-1(也是因为一直涨到数组over) 或者是遇到了^转折点
            i += 1
        return ans                    

 

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