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HouseRobber.ts
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// Source : https://leetcode.com/problems/house-robber/
// Author : francisco
// Date : 2024-01-21
/*****************************************************************************************************
*
* 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
******************************************************************************************************/
/**
* @param {number[]} nums
* @returns {number}
* return the maximum amount of money possible to rob without alerting the police
* NOTE: it will contact the police if two adjacent houses were borken into on the same night
* Tests:
* I: nums = [1,2,3,1] -> O: 4
* I: nums = [2,7,9,3,1] -> O: 12
position:
1
2 3
3 1 1 {}
1 {} {} {} {} {}
{} {}
sum:
0
0 1
0 2 1 4
0 3 2 3 1 2
0 1
sum-values (leafs) = [0, 1, 3, 2, 3, 1, 2, 4] => O: 4
* Template:
* resursion, dfs - index: number
* memoization, cache: number[] -> nums.length unique values
* Time Complexity: O(n)
* Space Complexity: O(n)
*/
export function rob(nums: number[]): number {
const cache: number[] = new Array(nums.length);
/**
* @param {number} index
* @returns {number}
*/
function dfs(index: number): number {
if (index >= nums.length) return 0;
if (cache[index] !== undefined) return cache[index] as number;
return (cache[index] = Math.max(
dfs(index + 1),
(nums[index] as number) + dfs(index + 2),
));
}
return dfs(0);
}