Skip to content

Latest commit

 

History

History

121

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 

Say you have an array for which the ith element is the price of a given stock on day i.

If you were only permitted to complete at most one transaction (i.e., buy one and sell one share of the stock), design an algorithm to find the maximum profit.

Note that you cannot sell a stock before you buy one.

Example 1:

Input: [7,1,5,3,6,4]
Output: 5
Explanation: Buy on day 2 (price = 1) and sell on day 5 (price = 6), profit = 6-1 = 5.
             Not 7-1 = 6, as selling price needs to be larger than buying price.

Example 2:

Input: [7,6,4,3,1]
Output: 0
Explanation: In this case, no transaction is done, i.e. max profit = 0.

Companies:
Amazon, Facebook, Microsoft, Google, Apple, Goldman Sachs, DoorDash, Adobe, Morgan Stanley, Citadel, Walmart Labs, VMware, Redfin

Related Topics:
Array, Dynamic Programming

Solution 1.

// OJ: https://leetcode.com/problems/best-time-to-buy-and-sell-stock
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(1)
class Solution {
public:
    int maxProfit(vector<int>& prices) {
        int minVal = INT_MAX, ans = 0;
        for (int p : prices) {
            minVal = min(minVal, p);
            ans = max(ans, p - minVal);
        }
        return ans;
    }
};
// OJ: https://leetcode.com/problems/best-time-to-buy-and-sell-stock/
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(1)
var maxProfit = function(A) {
    let min = Infinity, ans = 0;
    for (let i = 0; i < A.length; ++i) {
        min = Math.min(min, A[i]);
        ans = Math.max(ans, A[i] - min);
    }
    return ans;
};

Solution 2.

// OJ: https://leetcode.com/problems/best-time-to-buy-and-sell-stock/
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(1)
class Solution {
public:
    int maxProfit(vector<int>& A) {
        int buy = INT_MIN, sell = 0;
        for (int n : A) {
            buy = max(buy, -n);
            sell = max(sell, buy + n);
        }
        return sell;
    }
};