1359. Count All Valid Pickup and Delivery Options
Description
Given n
orders, each order consists of a pickup and a delivery service.
Count all valid pickup/delivery possible sequences such that delivery(i) is always after of pickup(i).
Since the answer may be too large, return it modulo 10^9 + 7.
Example 1:
Input: n = 1 Output: 1 Explanation: Unique order (P1, D1), Delivery 1 always is after of Pickup 1.
Example 2:
Input: n = 2 Output: 6 Explanation: All possible orders: (P1,P2,D1,D2), (P1,P2,D2,D1), (P1,D1,P2,D2), (P2,P1,D1,D2), (P2,P1,D2,D1) and (P2,D2,P1,D1). This is an invalid order (P1,D2,P2,D1) because Pickup 2 is after of Delivery 2.
Example 3:
Input: n = 3 Output: 90
Constraints:
1 <= n <= 500
Solutions
Solution 1: Dynamic Programming
We define \(f[i]\) as the number of all valid pickup/delivery sequences for \(i\) orders. Initially, \(f[1] = 1\).
We can choose any of these \(i\) orders as the last delivery order \(D_i\), then its pickup order \(P_i\) can be at any position in the previous \(2 \times i - 1\), and the number of pickup/delivery sequences for the remaining \(i - 1\) orders is \(f[i - 1]\), so \(f[i]\) can be expressed as:
The final answer is \(f[n]\).
We notice that the value of \(f[i]\) is only related to \(f[i - 1]\), so we can use a variable instead of an array to reduce the space complexity.
The time complexity is \(O(n)\), where \(n\) is the number of orders. The space complexity is \(O(1)\).
1 2 3 4 5 6 7 |
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1 2 3 4 5 6 7 8 9 10 |
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1 2 3 4 5 6 7 8 9 10 11 |
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1 2 3 4 5 6 7 8 |
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1 2 3 4 5 6 7 8 9 10 11 12 |
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