【刷題-LeetCode】123 Best Time to Buy and Sell Stock III
阿新 • • 發佈:2020-07-13
- Best Time to Buy and Sell Stock III
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.
Solution
Approach1 以 i 為分界,左邊是第一次交易能夠獲得的最大利潤,右邊是第二次,最後兩邊加起來取最大
Note:不能每次都計算一次,用陣列儲存能夠獲得的最大利潤,否則會超時
class Solution { public: int maxProfit(vector<int>& prices) { int ans = 0; int n = prices.size(); if(n == 0)return ans; int left[n] = {0}, right[n] = {0}; int min_price = prices[0]; for(int i = 1; i < n; ++i){ min_price = min(min_price, prices[i]); left[i] = max(left[i-1], prices[i] - min_price); } int max_price = prices[n-1]; for(int i = n-2; i >= 0; --i){ max_price = max(max_price, prices[i]); right[i] = max(right[i+1], max_price - prices[i]); } for(int i = 0; i < n; ++i){ ans = max(ans, left[i] + right[i]); } return ans; } };
Appraoch 2 每次取最值時針對全域性的利潤,設定4個變數:b1, s1, b2, s2
class Solution {
public:
int maxProfit(vector<int>& prices) {
int b1 = INT_MIN, b2 = INT_MIN;
int s1 = 0, s2 = 0;
for(int x : prices){
b1=max(b1,-x); //以低價買入
s1=max(s1,b1+x); //以高價賣出
b2=max(b2,s1-x); //低價買入,即結餘要最大
s2=max(s2,b2+x); //高價賣出
}
return s2;
}
};