House Robber
Problem
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 systems connected and it will automatically contact the police if two adjacent houses were broken into on the same night.
Given an integer array nums representing the amount of money of each house, return the maximum amount of money you can rob tonight without alerting the police.
Example 1:
Input: nums = [1,2,3,1]
Output: 4
Explanation: Rob house 1 (money = 1) and then rob house 3 (money = 3).
Total amount you can rob = 1 + 3 = 4.
Example 2:
Input: nums = [2,7,9,3,1]
Output: 12
Explanation: Rob house 1 (money = 2), rob house 3 (money = 9) and rob house 5 (money = 1).
Total amount you can rob = 2 + 9 + 1 = 12.
Constraints:
- 1 <= nums.length <= 100
- 0 <= nums[i] <= 400
Solution
Recursion on this one feels a little more natural.
First draft, without memoization.
class Solution {
public int rob(int[] nums) {
return rob(nums, nums.length - 1);
}
public int rob(int[] nums, int n) {
if (n < 0) {
// we're past the start of the array
return 0;
}
var yes = nums[n] + rob(nums, n - 2);
var no = rob(nums, n - 1);
return Math.max(yes, no);
}
}
Adding memoization:
class Solution {
public int rob(int[] nums) {
var m = new int[nums.length];
for (var i = 0; i < m.length; i++) {
// sentinel value
m[i] = -1;
}
return rob(nums, nums.length - 1, m);
}
public int rob(int[] nums, int n, int[] m) {
if (n < 0) {
// we're past the start of the array
return 0;
}
if (m[n] != -1) {
return m[n];
}
var yes = nums[n] + rob(nums, n - 2, m);
var no = rob(nums, n - 1, m);
var max = Math.max(yes, no);
m[n] = max;
return max;
}
}
A comment brought me to this solution. It seems to be a common pattern with most of the problems I’ve seen today. I don’t quite understand how to come to these solutions myself, though.
class Solution {
public int rob(int[] nums) {
var p1 = 0;
var p2 = 0;
for (var i : nums) {
var tmp = p1;
p1 = Math.max(i + p2, p1);
p2 = tmp;
}
return p1;
}
}