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 (i.e., buy one and sell one share of the stock multiple times).
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: [7,1,5,3,6,4]
Output: 7
Explanation: Buy on day 2 (price = 1) and sell on day 3 (price = 5), profit = 5-1 = 4.
Then buy on day 4 (price = 3) and sell on day 5 (price = 6), profit = 6-3 = 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.
贪婪法。O(1), O(1)
问题转化:即找所有上升区间,把各区间头尾作差计入利润。
代码实现:遍历数组,看到当前和前一个数字这一小小段是上升的,就将差值加入利润。
实现:
class Solution { public int maxProfit(int[] prices) { int profit = 0; for (int i = 1; i < prices.length; i++) { if (prices[i] > prices[i - 1]) { profit += prices[i] - prices[i - 1]; } } return profit; } }