Difficulty:easy
More:【目录】LeetCode Java实现
Description
https://leetcode.com/problems/best-time-to-buy-and-sell-stock-ii/
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.
Example 3:
Input: [7,6,4,3,1] Output: 0 Explanation: In this case, no transaction is done, i.e. max profit = 0.
Intuition
Normal Method: Find the peak and valley
Clever Method: If there is profit between two days, make a deal.
Solution
//Normal Method: Find the peak and valley public int maxProfit1(int[] prices) { if(prices==null || prices.length<=1) return 0; int i=0,j=0; int profit=0; while(i<prices.length && j<prices.length){ while(i+1<prices.length && prices[i+1]<prices[i]) i++; j=i+1; if(j==prices.length) break; else{ while(j+1<prices.length && prices[j+1]>prices[j]) j++; } profit+=prices[j]-prices[i]; i=j+1; //don't forget this line } return profit; } //Clever Method public int maxProfit(int[] prices) { if(prices==null || prices.length<=1) return 0; int profit=0; for(int i=0; i<prices.length-1; i++){ if(prices[i+1]>prices[i]) profit+=prices[i+1]-prices[i]; } return profit; }
Complexity
Time complexity : O(n)
Space complexity : O(1)
More:【目录】LeetCode Java实现