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_188_BestTimetoBuyandSellStockIV.java
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_188_BestTimetoBuyandSellStockIV.java
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package leetcode_1To300;
/**
* 本代码来自 Cspiration,由 @Cspiration 提供
* 题目来源:http://leetcode.com
* - Cspiration 致力于在 CS 领域内帮助中国人找到工作,让更多海外国人受益
* - 现有课程:Leetcode Java 版本视频讲解(1-900题)(上)(中)(下)三部
* - 算法基础知识(上)(下)两部;题型技巧讲解(上)(下)两部
* - 节省刷题时间,效率提高2-3倍,初学者轻松一天10题,入门者轻松一天20题
* - 讲师:Edward Shi
* - 官方网站:https://cspiration.com
* - 版权所有,转发请注明出处
*/
public class _188_BestTimetoBuyandSellStockIV {
/**
* 188. Best Time to Buy and Sell Stock IV
* 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 k transactions.
dp[i, j] 当前到达第j天可以最多进行i次交易,最大的利润是多少
tmpMax means the maximum profit of just doing at most i-1 transactions, using at most first j-1 prices,
and buying the stock at price[j] - this is used for the next loop.
time : O(k * n)
space : O(k * n)
* @param k
* @param prices
* @return
*/
public int maxProfit(int k, int[] prices) {
int len = prices.length;
if (k >= len / 2) return helper(prices);
int[][] dp = new int[k + 1][len];
for (int i = 1; i <= k; i++) {
int tmpMax = -prices[0];
for (int j = 1; j < len; j++) {
dp[i][j] = Math.max(dp[i][j - 1], prices[j] + tmpMax);
tmpMax = Math.max(tmpMax, dp[i - 1][j - 1] - prices[j]);
}
}
return dp[k][len - 1];
}
public int helper(int[] prices) {
int len = prices.length;
int res = 0;
for (int i = 1; i < len; i++) {
if (prices[i] > prices[i - 1]) {
res += prices[i] - prices[i - 1];
}
}
return res;
}
}