Easy
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.
There are a few ways to do this:
- Brute force: try every price pair O(n^2) time
- Create an array of max prices to the right of a price and get the max difference between the price, and max price to the right of it. O(n) time, O(n) space
- Maintain a minStock price and see if subtracting the minStock from the current price is the max. O(n) time, O(1) space.
/**
* @param {number[]} prices
* @return {number}
*/
var maxProfit = function(prices) {
let maxVal = 0;
for (let i = 0; i < prices.length; i++) {
for (let j = i; j < prices.length; j++) {
let value = prices[j] - prices[i];
if (value > maxVal) {
maxVal = value;
}
}
}
return maxVal;
};
/**
* @param {number[]} prices
* @return {number}
*/
var maxProfit = function(prices) {
let maxs = [];
let max = Number.MIN_SAFE_INTEGER;
let maxProfit = 0;
for (let i = prices.length - 1; i >= 0; i--) {
let num = prices[i];
max = Math.max(max, num);
maxs.unshift(max);
}
for (let i = 0; i < prices.length; i++) {
let profit = maxs[i] - prices[i];
maxProfit = Math.max(maxProfit, profit);
}
return maxProfit;
};
/**
* @param {number[]} prices
* @return {number}
*/
var maxProfit = function(prices) {
let maxProfit = 0;
let minStock = prices[0];
if (prices.length < 2) {
return maxProfit;
}
for (let i = 0; i < prices.length; i++) {
let price = prices[i];
maxProfit = Math.max(maxProfit, price - minStock);
minStock = Math.min(minStock, price);
}
return maxProfit;
};