Given n balloons, indexed from 0 to n-1. Each balloon is painted with a number on it represented by array nums. You are asked to burst all the balloons. If the you burst balloon i you will get nums[left] * nums[i] * nums[right] coins. Here left and r…

Alex and Lee play a game with piles of stones.  There are an even number of piles arranged in a row, and each pile has a positive integer number of stones piles[i]. The objective of the game is to end with the most stones.  The total number of stones…

参考:LeetCode 312. Burst Balloons(戳气球) java代码如下 class Solution { //参考:https://blog.csdn.net/jmspan/article/details/51208865 public int maxCoins(int[] nums) { int[] balls = new int[nums.length+2]; balls[0] = 1; balls[balls.length - 1] = 1; int[][] coins…

Given n balloons, indexed from 0 to n-1. Each balloon is painted with a number on it represented by array nums. You are asked to burst all the balloons. If the you burst balloon iyou will get nums[left] * nums[i] * nums[right]coins. Here left and rig…

Given an unsorted array of integers, find the length of longest continuous increasing subsequence (subarray). Example 1: Input: [1,3,5,4,7] Output: 3 Explanation: The longest continuous increasing subsequence is [1,3,5], its length is 3. Even though…

lc 312 Burst Balloons 312 Burst Balloons Given n balloons, indexed from 0 to n-1. Each balloon is painted with a number on it represented by array nums. You are asked to burst all the balloons. If the you burst balloon i you will get nums[left] * num…

Given n balloons, indexed from 0 to n-1. Each balloon is painted with a number on it represented by array nums. You are asked to burst all the balloons. If the you burst balloon i you will get nums[left] * nums[i] * nums[right] coins. Here left and r…

Questions: [LeetCode] 198. House Robber _Easy tag: Dynamic Programming [LeetCode] 221. Maximal Square _ Medium Tag: Dynamic Programming [LeetCode] 62. Unique Paths_ Medium tag: Dynamic Programming [LeetCode] 64. Minimum Path Sum_Medium tag: Dynamic P…

动态规划(Dynamic Programming)算法与LC实例的理解 希望通过写下来自己学习历程的方式帮助自己加深对知识的理解,也帮助其他人更好地学习,少走弯路.也欢迎大家来给我的Github的Leetcode算法项目点star呀~~ 动态规划(Dynamic Programming)算法与LC实例的理解 DP是什么 基本定义 帮助理解的经典问题:硬币问题 第二个经典问题:斐波那契数列 为什么要用DP 重叠子问题 最优子结构 怎么用DP 规范化DP的思路:状态定义与状态转移方程 Leetcod…

Given a non-empty string s and a dictionary wordDict containing a list of non-empty words, determine if s can be segmented into a space-separated sequence of one or more dictionary words. Note: The same word in the dictionary may be reused multiple t…