Optimal Account Balancing 最优账户平衡
A group of friends went on holiday and sometimes lent each other money. For example, Alice paid for Bill's lunch for 10.ThenlaterChrisgaveAlice10.ThenlaterChrisgaveAlice5 for a taxi ride. We can model each transaction as a tuple (x, y, z) which means person x gave person y $z. Assuming Alice, Bill, and Chris are person 0, 1, and 2 respectively (0, 1, 2 are the person's ID), the transactions can be represented as [[0, 1, 10], [2, 0, 5]]
.
Given a list of transactions between a group of people, return the minimum number of transactions required to settle the debt.
Note:
- A transaction will be given as a tuple (x, y, z). Note that
x ≠ y
andz > 0
. - Person's IDs may not be linear, e.g. we could have the persons 0, 1, 2 or we could also have the persons 0, 2, 6.
Example 1:
Input: [[0,1,10], [2,0,5]] Output: 2 Explanation: Person #0 gave person #1 $10. Person #2 gave person #0 $5. Two transactions are needed. One way to settle the debt is person #1 pays person #0 and #2 $5 each.
Example 2:
Input: [[0,1,10], [1,0,1], [1,2,5], [2,0,5]] Output: 1 Explanation: Person #0 gave person #1 $10. Person #1 gave person #0 $1. Person #1 gave person #2 $5. Person #2 gave person #0 $5. Therefore, person #1 only need to give person #0 $4, and all debt is settled.
class Solution { public: int minTransfers(vector<vector<int>>& transactions) { unordered_map<int, int> m; for (auto t : transactions) { m[t[0]] -= t[2]; m[t[1]] += t[2]; } vector<int> accnt(m.size()); int cnt = 0; for (auto a : m) { if (a.second != 0) accnt[cnt++] = a.second; } return helper(accnt, 0, cnt, 0); } int helper(vector<int>& accnt, int start, int n, int num) { int res = INT_MAX; while (start < n && accnt[start] == 0) ++start; for (int i = start + 1; i < n; ++i) { if ((accnt[i] < 0 && accnt[start] > 0) || (accnt[i] > 0 && accnt[start] < 0)) { accnt[i] += accnt[start]; res = min(res, helper(accnt, start + 1, n, num + 1)); accnt[i] -= accnt[start]; } } return res == INT_MAX ? num : res; } };