Given an m x n integer matrix grid, return the maximum score of a path starting at (0, 0) and ending at (m - 1, n - 1) moving in the 4 cardinal directions.
The score of a path is the minimum value in that path.
8 → 4 → 5 → 9 is 4.
Example 1:
Input: grid = [[5,4,5],[1,2,6],[7,4,6]] Output: 4 Explanation: The path with the maximum score is highlighted in yellow.
Example 2:
Input: grid = [[2,2,1,2,2,2],[1,2,2,2,1,2]] Output: 2
Example 3:
Input: grid = [[3,4,6,3,4],[0,2,1,1,7],[8,8,3,2,7],[3,2,4,9,8],[4,1,2,0,0],[4,6,5,4,3]] Output: 3
Constraints:
m == grid.lengthn == grid[i].length1 <= m, n <= 1000 <= grid[i][j] <= 109First, we construct a triplet $(v, i, j)$ for each element in the matrix, where $v$ represents the element value, and $i$ and $j$ represent the row and column of the element in the matrix, respectively. Then we sort these triplets in descending order by element value and store them in a list $q$.
Next, we take out the triplets from $q$ in order, use the corresponding element value as the score of the path, and mark the position as visited. Then we check the four adjacent positions (up, down, left, and right) of this position. If an adjacent position has been visited, we merge this position with the current position. If we find that the position $(0, 0)$ and the position $(m - 1, n - 1)$ have been merged, we can directly return the score of the current path as the answer.
The time complexity is $O(m \times n \times (\log (m \times n) + \alpha(m \times n)))$, where $m$ and $n$ are the number of rows and columns of the matrix, respectively.
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| Approach | Complexity |
|---|---|
| Sorting + Union-Find | — |
| Default Approach | — |
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