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 (ie, buy one and sell one share of the stock), design an algorithm to find the maximum profit.
Example 1:
Input: [7, 1, 5, 3, 6, 4]
Output: 5
max. difference = 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
In this case, no transaction is done, i.e. max profit = 0.
Tags: Array, Dynamic Programmin
题意是给出一个数组代表每天的股票金额,让你在最多买卖一次的情况下算出最大的收益额,最简单的就是模拟即可,每次记录当前值减去最小值的差值,与上一次的进行比较然后更新最大值即可。
Java:
class Solution {
public int maxProfit(int[] prices) {
int max = 0, minPrice = Integer.MAX_VALUE;
for (int i = 0; i < prices.length; ++i) {
if (prices[i] < minPrice) minPrice = prices[i];
int delta = prices[i] - minPrice;
if (delta > max) max = delta;
}
return max;
}
}
kotlin(204ms/100.00%):
class Solution {
fun maxProfit(prices: IntArray): Int {
if (prices.isEmpty()) return 0
var ret = 0
var min = prices[0]
for (i in 1 until prices.size) {
min = Math.min(min, prices[i])
ret = Math.max(prices[i] - min, ret)
}
return ret
}
}
var maxProfit = function(prices) {
let finalProfit = 0
for(var i = 0; i < prices.length; i++) {
for(var j = 0; j < i; j++) {
let profit = prices[i] - prices[j]
if(profit > finalProfit) {
finalProfit = profit
}
}
}
return finalProfit
};
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