LeetCode
  • Introduction
  • 第一章: 基本结构
    • 1.1 数组
      • Q11. Container With Most Water
      • Q16. 3Sum Closest
      • Q118. Pascal's Triangle
      • Q119. Pascal's Triangle II
      • Q120. Triangle
      • Q134. Gas Station
    • 1.2 链表
      • Q2: Add Two Numbers
      • Q19. Remove Nth Node From End of List
      • Q82. Remove Duplicates from Sorted List II
      • Q86: Partition List
      • Q92. Reverse Linked List II
      • Q141. Linked List Cycle
      • Q142. Linked List Cycle II
      • Q147. Insertion Sort List
      • Q160. Intersection of Two Linked Lists
      • Q206. Reverse Linked List
    • 1.3 哈希
      • Q1: Two Sum
      • Q3. Longest Substring Without Repeating Characters
    • 1.4 堆栈
      • Q84: Largest Rectangle in Histogram
      • Q155. Min Stack
      • Q20. Valid Parentheses
      • Q225. Implement Stack using Queues
      • Q232. Implement Queue using Stacks
    • 1.5 树
      • Q94. Binary Tree Inorder Traversal
      • Q100. Same Tree
      • Q101. Symmetric Tree
      • Q102. Binary Tree Level Order Traversal
      • Q103. Binary Tree Zigzag Level Order Traversal
      • Q104. Maximum Depth of Binary Tree
      • Q105. Construct Binary Tree from Preorder and Inorder Traversal
      • Q106. Construct Binary Tree from Inorder and Postorder Traversal
      • Q107. Binary Tree Level Order Traversal II
      • Q108. Convert Sorted Array to Binary Search Tree
      • Q109. Convert Sorted List to Binary Search Tree
      • Q110. Balanced Binary Tree
      • Q111. Minimum Depth of Binary Tree
      • Q112. Path Sum
      • Q113. Path Sum II
      • Q114. Flatten Binary Tree to Linked List
      • Q116. Populating Next Right Pointers in Each Node
      • Q117. Populating Next Right Pointers in Each Node II
      • Q129. Sum Root to Leaf Numbers
      • Q144. Binary Tree Preorder Traversal
    • 1.6 图
    • 1.7 二进制
      • Q89. Gray Code
      • Q136. Single Number
      • Q137. Single Number II
      • Q191. Number of 1 Bits
      • Q190. Reverse Bits
    • 1.8 字符串
      • Q5. Longest Palindromic Substring
      • Q14. Longest Common Prefix
      • Q125. Valid Palindrome
  • 第二章: 动态规划
    • Q85: Maximal Rectangle
    • Q91. Decode Ways
    • Q121. Best Time to Buy and Sell Stock
    • Q198. House Robber
  • 第三章: 递归
    • Q17. Letter Combinations of a Phone Number
    • Q78. Subsets
    • Q86. Scramble String
    • Q90: Subsets II
  • 第四章:贪心
    • Q122. Best Time to Buy and Sell Stock II
  • 第五章:分治法
  • 第六章:数学
    • Q6. ZigZag Conversion
    • Q7. Reverse Integer
    • Q9. Palindrome Number
    • Q168. Excel Sheet Column Title
    • Q171. Excel Sheet Column Number
  • 第七章:查找
    • Q15. Three Sum
    • Q167. Two Sum II
    • Q169. Majority Element
  • 第八章:排序
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  1. 第二章: 动态规划

Q198. House Robber

PreviousQ121. Best Time to Buy and Sell StockNext第三章: 递归

Last updated 5 years ago

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直达:

You are a professional robber planning to rob houses along a street. Each house has a certain amount of money stashed, the only constraint stopping you from robbing each of them is that adjacent houses have security system connected and it will automatically contact the police if two adjacent houses were broken into on the same night.

Given a list of non-negative integers representing the amount of money of each house, determine the maximum amount of money you can rob tonight without alerting the police.

Credits: Special thanks tofor adding this problem and creating all test cases. Also thanks tofor adding additional test cases.

分析

动态规划的经典题目,动态规则也非常简单。第i天盗得的总和是第i-2天,或者第i-3天最大值加上nums[i], 所以有动态规划更新规则:

dp[i+1] = max(dp[i-1], dp[i-2]) + nums[i];

注:为了编码方便,动态规划数组添加了一个0的头。

C++代码

class Solution {
public:
    int rob(vector<int>& nums) {
        int len = nums.size();
        if(len == 0) return 0;
        vector<int> dp(len+1, 0);
        dp[1] = nums[0];
        for (int i = 1; i < len; i++){
            if (i == 1) dp[i+1] = dp[0] + nums[i];
            else dp[i+1] = max(dp[i-1], dp[i-2]) + nums[i];
        }
        return max(dp[len], dp[len-1]);
    }
};
https://leetcode.com/problems/house-robber/description/
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