House Robber
Medium
Dynamic Programming
Problem
You're a thief planning to rob houses along a street. Each house has some money, but you can't rob two adjacent houses without triggering an alarm. Return the max money you can rob.
Example 1
Input: nums = [1,2,3,1]
Output: 4
Explain: Rob houses 0 and 2 (1+3).
Example 2
Input: nums = [2,7,9,3,1]
Output: 12
Explain: Rob 0, 2, 4 (2+9+1).
Example 3
Input: nums = [2,1,1,2]
Output: 4
Explain: Rob 0 and 3.
Constraints
- 1 ≤ nums.length ≤ 100
- 0 ≤ nums[i] ≤ 400
Approach — Dynamic Programming
This is a Dynamic Programming problem. The idea: break the problem into overlapping subproblems and build the answer up, caching results so nothing is recomputed. Work through the reference code below line by line, then re-derive it yourself in the editor — that's how the pattern sticks.
Complexity: O(n) to O(n²) time.
Solution code
Python
class Solution:
def rob(self, nums):
prev = cur = 0
for x in nums:
prev, cur = cur, max(cur, prev + x)
return cur
Java
class Solution {
public int rob(int[] nums) {
int prev = 0, curr = 0;
for (int n : nums) {
int next = Math.max(curr, prev + n);
prev = curr;
curr = next;
}
return curr;
}
}
Practice it
Reading a solution isn't the same as being able to write it under pressure. Open this problem in the in-browser editor, hide the solution, and solve it from scratch — your code runs against real test cases instantly.
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