You are given an array of transactions transactions where transactions[i] = [fromi, toi, amounti] indicates that the person with ID = fromi gave amounti $ to the person with ID = toi.
Return the minimum number of transactions required to settle the debt.
Example 1:
Input: transactions = [[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: transactions = [[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.
Constraints:
1 <= transactions.length <= 8
transactions[i].length == 3
0 <= fromi, toi < 12
fromi != toi
1 <= amounti <= 100
Solutions
Solution 1
Thinking
We want the fewest transfers that zero every balance. People already at \(0\) drop out. Searching transfer orders among the remaining \(m\le 12\) people is still large; subset DP is the right grain.
A subset whose balances sum to \(0\) needs at most \(|S|-1\) transfers. \(f[i]\) is that minimum for mask \(i\): only a zero-sum mask is feasible, starting from \(|i|-1\) and trying \(f[j]+f[i\oplus j]\) over nonempty proper subsets.
Subset enumeration is \(O(3^m)\). Collapse transactions into nonzero balances first, and transfer only on zero-sum masks.