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.
Thoughts: a key to solve is to break the problem into subproblems such that
- the original problem can be solved relatively easily once solutions to the subproblems are available
- these subproblem solutions are cached, caching the results of intermediate computations
For this one, it’s similar to 70. Climbing stairs, we need to think if we know the result(max profit) of n-1 house, given current value, is it possible to get the result of n house, what’s the relationship? Looks like we can’t resolve it, then what about we also have the max profit of n-2 house. Here’s the relationship:
profit[i] = max(profit[i-2]+nums[i], profit[i-1])
.
- code my own last time
class Solution:
def rob(self, nums: List[int]) -> int:
if not nums:
return 0
if len(nums) == 1:
return nums[0]
profit = {0: nums[0], 1: max(nums[0], nums[1])}
for i in range(2, len(nums)):
profit[i] = max(profit[i-2]+nums[i], profit[i-1])
return profit[len(nums)-1]
class Solution:
# @param num, a list of integer
# @return an integer
def rob(self, num):
max_3_house_before, max_2_house_before, adjacent = 0, 0, 0
for cur in num:
max_3_house_before, max_2_house_before, adjacent = \
max_2_house_before, adjacent, max(max_3_house_before+cur, max_2_house_before+cur)
return max(max_2_house_before, adjacent)
c0, similar to dic
class Solution:
def rob(self, nums: List[int]) -> int:
if len(nums) == 1:
return nums[0]
dp = len(nums) * [0]
dp[0] = nums[0]
dp[1] = max(nums[1], nums[0])
for i in range(2, len(nums)):
dp[i] = max(dp[i-2] + nums[i], dp[i-1])
return dp[-1]
c1
class Solution:
def rob(self, nums: List[int]) -> int:
if not nums:
return 0
if len(nums) < 3:
return max(nums)
pre = 0
# a = nums[0]
cur = nums[0]
for i in range(1, len(nums)):
temp = cur
cur = max(nums[i]+pre,cur)
pre = temp
return cur