|
| 1 | +// Source : https://leetcode.com/problems/house-robber-iii/ |
| 2 | +// Author : Calinescu Valentin |
| 3 | +// Date : 2016-04-29 |
| 4 | + |
| 5 | +/*************************************************************************************** |
| 6 | + * |
| 7 | + * The thief has found himself a new place for his thievery again. There is only one |
| 8 | + * entrance to this area, called the "root." Besides the root, each house has one and |
| 9 | + * only one parent house. After a tour, the smart thief realized that "all houses in |
| 10 | + * this place forms a binary tree". It will automatically contact the police if two |
| 11 | + * directly-linked houses were broken into on the same night. |
| 12 | + * |
| 13 | + * Determine the maximum amount of money the thief can rob tonight without alerting the |
| 14 | + * police. |
| 15 | + * |
| 16 | + * Example 1: |
| 17 | + * 3 |
| 18 | + * / \ |
| 19 | + * 2 3 |
| 20 | + * \ \ |
| 21 | + * 3 1 |
| 22 | + * Maximum amount of money the thief can rob = 3 + 3 + 1 = 7. |
| 23 | + * Example 2: |
| 24 | + * 3 |
| 25 | + * / \ |
| 26 | + * 4 5 |
| 27 | + * / \ \ |
| 28 | + * 1 3 1 |
| 29 | + * Maximum amount of money the thief can rob = 4 + 5 = 9. |
| 30 | + * Credits: |
| 31 | + * Special thanks to @dietpepsi for adding this problem and creating all test cases. |
| 32 | + * |
| 33 | + ***************************************************************************************/ |
| 34 | +/** |
| 35 | + * Definition for a binary tree node. |
| 36 | + * struct TreeNode { |
| 37 | + * int val; |
| 38 | + * TreeNode *left; |
| 39 | + * TreeNode *right; |
| 40 | + * TreeNode(int x) : val(x), left(NULL), right(NULL) {} |
| 41 | + * }; |
| 42 | + */ |
| 43 | + /* |
| 44 | + * Solution 1 - O(N log N) |
| 45 | + * ========= |
| 46 | + * |
| 47 | + * We can use a recursive function that computes the solution for every node of the tree |
| 48 | + * using the previous solutions calculated for the left and right subtrees. At every step |
| 49 | + * we have 2 options: |
| 50 | + * |
| 51 | + * 1) Take the value of the current node + the solution of the left and right subtrees of |
| 52 | + * each of the left and right children of the current node. |
| 53 | + * 2) Take the solution of the left and right subtrees of the current node, skipping over |
| 54 | + * its value. |
| 55 | + * |
| 56 | + * This way we can make sure that we do not pick 2 adjacent nodes. |
| 57 | + * |
| 58 | + * If we implemented this right away we would get TLE. Thus, we need to optimize the |
| 59 | + * algorithm. One key observation would be that we only need to compute the solution for |
| 60 | + * a certain node once. We can use memoization to calculate every value once and then |
| 61 | + * retrieve it when we get subsequent calls. As the header of the recursive function |
| 62 | + * doesn't allow additional parameters we can use a map to link every node(a pointer) to |
| 63 | + * its solution(an int). For every call the map lookup of an element and its insertion |
| 64 | + * take logarithmic time and there are a constant number of calls for each node. Thus, the |
| 65 | + * algorithm takes O(N log N) time to finish. |
| 66 | + * |
| 67 | + */ |
| 68 | +class Solution { |
| 69 | +public: |
| 70 | + map<TreeNode*, int> dict; |
| 71 | + int rob(TreeNode* root) { |
| 72 | + if(root == NULL) |
| 73 | + return 0; |
| 74 | + else if(dict.find(root) == dict.end()) |
| 75 | + { |
| 76 | + int lwith = rob(root->left); |
| 77 | + int rwith = rob(root->right); |
| 78 | + int lwithout = 0, rwithout = 0; |
| 79 | + if(root->left != NULL) |
| 80 | + lwithout = rob(root->left->left) + rob(root->left->right); |
| 81 | + if(root->right != NULL) |
| 82 | + rwithout = rob(root->right->left) + rob(root->right->right); |
| 83 | + //cout << lwith << " " << rwith << " " << lwithout << " " << rwithout << '\n'; |
| 84 | + dict[root] = max(root->val + lwithout + rwithout, lwith + rwith); |
| 85 | + } |
| 86 | + return dict[root]; |
| 87 | + } |
| 88 | +}; |
0 commit comments