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Given a m x n grid filled with non-negative numbers, find a path from top left to bottom right, which minimizes the sum of all numbers along its path.
Note: You can only move either down or right at any point in time.
Example 1:

<pre>Input: grid = [[1,3,1],[1,5,1],[4,2,1]] Output: 7 Explanation: Because the path 1 → 3 → 1 → 1 → 1 minimizes the sum. </pre>
Example 2:
<pre>Input: grid = [[1,2,3],[4,5,6]] Output: 12 </pre>
Constraints:
m == grid.lengthn == grid[i].length1 <= m, n <= 2000 <= grid[i][j] <= 100
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题目大意:
求矩阵最短路径和。只能向下向右走。
解题思路:
递归式:
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dp[i][j] = min{dp[i-1][j], dp[i][j-1]} + grid[i - 1][j - 1]
解题步骤:
N/A
注意事项:
- 初始值为最大值,dp[0][1] = dp[1][0] = 0确保左上格正确。
- 模板四点注意事项
Python代码:
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8# dp[i][j] = min{dp[i-1][j], dp[i][j-1]} + grid[i - 1][j - 1]
def minPathSum(self, grid: List[List[int]]) -> int:
dp = [[float('inf') for _ in range(len(grid[0]) + 1)] for _ in range(len(grid) + 1)]
dp[0][1] = dp[1][0] = 0
for i in range(1, len(dp)):
for j in range(1, len(dp[0])):
dp[i][j] = min(dp[i - 1][j], dp[i][j - 1]) + grid[i - 1][j - 1]
return dp[-1][-1]
算法分析:
时间复杂度为<code>O(n<sup>2</sup>)</code>,空间复杂度<code>O(n<sup>2</sup>)</code>


