Description
You are given a 0-indexed 2D integer array transactions, where transactions[i] = [costi, cashbacki].
The array describes transactions, where each transaction must be completed exactly once in some order. At any given moment, you have a certain amount of money. In order to complete transaction i, money >= costi must hold true. After performing a transaction, money becomes money - costi + cashbacki.
Return the minimum amount of money required before any transaction so that all of the transactions can be completed regardless of the order of the transactions.
Example 1:
Input: transactions = [[2,1],[5,0],[4,2]] Output: 10 Explanation: Starting with money = 10, the transactions can be performed in any order. It can be shown that starting with money < 10 will fail to complete all transactions in some order.
Example 2:
Input: transactions = [[3,0],[0,3]] Output: 3 Explanation: - If transactions are in the order [[3,0],[0,3]], the minimum money required to complete the transactions is 3. - If transactions are in the order [[0,3],[3,0]], the minimum money required to complete the transactions is 0. Thus, starting with money = 3, the transactions can be performed in any order.
Constraints:
1 <= transactions.length <= 105transactions[i].length == 20 <= costi, cashbacki <= 109
Solutions
Solution 1: Greedy
First, we accumulate all negative profits, denoted as s. Then, we enumerate each transaction transactions[i] = [a, b] as the last transaction. If a > b, it means the current transaction is a loss, and this transaction has already been included when we accumulated the negative profits earlier. Therefore, we update the answer with s + b. Otherwise, we update the answer with s + a.
The time complexity is O(n), where n is the number of transactions. The space complexity is O(1).
class Solution: def minimumMoney(self, transactions: List[List[int]]) -> int: s = sum(max(0, a - b) for a, b in transactions) ans = 0 for a, b in transactions: if a > b: ans = max(ans, s + b) else: ans = max(ans, s + a) return ans(code-box)
