# 465 Optimal Account Balancing

### Problem:

A group of friends went on holiday and sometimes lent each other money. For example, Alice paid for Bill's lunch for \$10. Then later Chris gave Alice \$5 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 and z > 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.
``````

### Solutions:

``````public class Solution {
public int minTransfers(int[][] transactions) {
int[][] trans = transactions;
HashMap<Integer, Integer> debts = new HashMap<Integer, Integer>();
for (int i = 0; i < trans.length; i ++) {
int give = trans[i];
int get = trans[i];
int money = trans[i];
if (!debts.containsKey(give)) {
debts.put(give, 0);
}
if (!debts.containsKey(get)) {
debts.put(get, 0);
}
debts.put(give, debts.get(give) + money);
debts.put(get, debts.get(get) - money);
}
int[] debtsArr = new int[debts.size()];
int index = 0;
for (Integer no:debts.keySet()) {
debtsArr[index ++] = debts.get(no);
}
return process(debtsArr, 0);
}
private int process(int[] debts, int start) {
int min = Integer.MAX_VALUE;
while (start < debts.length && debts[start] == 0) {
start ++;
}
for (int i = start + 1; i < debts.length; i ++) {
if (debts[i] == 0) {
continue;
}
if ((debts[start] > 0 && debts[i] < 0) || (debts[start] < 0 && debts[i] > 0)) {
debts[i] += debts[start];
min = Math.min(min, process(debts, start + 1) + 1);
debts[i] -= debts[start];
}
}
if (min != Integer.MAX_VALUE) {
return min;
}
return 0;
}
}
``````