Algorithm Notes
Summary: House Robber — notes not yet curated.
Time: Estimate via loops/recurrences; common classes: O(1), O(log n), O(n), O(n log n), O(n^2)
Space: Count auxiliary structures and recursion depth.
Tip: See the Big-O Guide for how to derive bounds and compare trade-offs.
Big-O Guide
Source
"""
House Robber
TODO: Add problem description
"""
from src.interview_workbook.leetcode._registry import register_problem
from src.interview_workbook.leetcode._types import Category, Difficulty
class Solution:
def solve(self, *args) -> int:
"""Return the maximum amount you can rob without robbing adjacent houses."""
if not args:
return 0
nums = args[0]
rob1, rob2 = 0, 0
for n in nums:
new_rob = max(rob2, rob1 + n)
rob1, rob2 = rob2, new_rob
return rob2
def demo():
"""Run a demo for the House Robber problem."""
solver = Solution()
nums = [1, 2, 3, 1]
result = solver.solve(nums)
return str(result)
register_problem(
id=198,
slug="house_robber",
title="House Robber",
category=Category.DP_1D,
difficulty=Difficulty.MEDIUM,
tags=["array", "dynamic_programming"],
url="https://leetcode.com/problems/house-robber/",
notes="",
)