Last Stone Weight II — LeetCode 1049 Python Solution
MediumArrayDynamic Programming
- Problem
- #1049
- Pattern
- Dynamic Programming
- Reading time
- 3 min
- Source
- leetcode.com
The problem
You are given an array of integers stones where stones[i] is the weight of the ith stone. We are playing a game with the stones.
Example
- Input
- stones = [2,7,4,1,8,1]
- Output
- 1
- Explanation
- We can combine 2 and 4 to get 2, so the array converts to [2,7,1,8,1] then,
Python solution
Python
class Solution:
def lastStoneWeightII(self, stones: List[int]) -> int:
s = sum(stones)
m, n = len(stones), s >> 1
dp = [[0] * (n + 1) for _ in range(m + 1)]
for i in range(1, m + 1):
for j in range(n + 1):
dp[i][j] = dp[i - 1][j]
if stones[i - 1] <= j:
dp[i][j] = max(
dp[i][j], dp[i - 1][j - stones[i - 1]] + stones[i - 1]
)
return s - 2 * dp[-1][-1]Complexity
| Measure | Complexity |
|---|---|
| Time | O(n·m) (typical) |
| Space | O(n·m) or optimized auxiliary |
Pattern: Dynamic Programming
Define a state, write the transition, and stop recomputing the same subproblem. LeetCode 1049. Last Stone Weight II is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Dynamic Programming.
The dynamic programming guide has the Python template for the pattern and the 481 LeetCode problems that use it.
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Frequently asked questions
- How hard is LeetCode 1049. Last Stone Weight II?
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- LeetCode 1049. Last Stone Weight II is tagged Array and Dynamic Programming on LeetCode.