原题
https://leetcode.com/problems/house-robber/
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.
Example 1:
Input: [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: [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.
解法
动态规划, 推导状态方程
用f(i)表示在index i 时所能偷到的最大值
f(0) = nums[0]
f(1) = max(nums[0], nums[1])
f(2) = max(f(0) + nums[2], f(1))
…
f(i) = max(f(i-2) + nums[i], f(i-1))
Time: O(n)
Space: O(n)
代码
class Solution(object):
def rob(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
# base case
if not nums: return 0
if len(nums) == 1: return nums[0]
# res[i] is the max amount of money to get at index i
res = [0]*len(nums)
res[0] = nums[0]
res[1] = max(nums[0], nums[1])
for i in range(2, len(nums)):
res[i] = max(res[i-2]+nums[i], res[i-1])
return res[-1]
本文详细解析了LeetCode上经典的动态规划问题“打家劫舍”。通过动态规划的方法,我们推导出了状态方程,并给出了Python实现代码。在不连续盗窃的情况下,求解出能获得的最大金额。
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