1970. Last Day Where You Can Still Cross
Description
There is a 1-based binary matrix where 0
represents land and 1
represents water. You are given integers row
and col
representing the number of rows and columns in the matrix, respectively.
Initially on day 0
, the entire matrix is land. However, each day a new cell becomes flooded with water. You are given a 1-based 2D array cells
, where cells[i] = [ri, ci]
represents that on the ith
day, the cell on the rith
row and cith
column (1-based coordinates) will be covered with water (i.e., changed to 1
).
You want to find the last day that it is possible to walk from the top to the bottom by only walking on land cells. You can start from any cell in the top row and end at any cell in the bottom row. You can only travel in the four cardinal directions (left, right, up, and down).
Return the last day where it is possible to walk from the top to the bottom by only walking on land cells.
Example 1:
Input: row = 2, col = 2, cells = [[1,1],[2,1],[1,2],[2,2]] Output: 2 Explanation: The above image depicts how the matrix changes each day starting from day 0. The last day where it is possible to cross from top to bottom is on day 2.
Example 2:
Input: row = 2, col = 2, cells = [[1,1],[1,2],[2,1],[2,2]] Output: 1 Explanation: The above image depicts how the matrix changes each day starting from day 0. The last day where it is possible to cross from top to bottom is on day 1.
Example 3:
Input: row = 3, col = 3, cells = [[1,2],[2,1],[3,3],[2,2],[1,1],[1,3],[2,3],[3,2],[3,1]] Output: 3 Explanation: The above image depicts how the matrix changes each day starting from day 0. The last day where it is possible to cross from top to bottom is on day 3.
Constraints:
2 <= row, col <= 2 * 104
4 <= row * col <= 2 * 104
cells.length == row * col
1 <= ri <= row
1 <= ci <= col
- All the values of
cells
are unique.
Solutions
Solution 1: Binary Search + BFS
We note that if we can walk from the top row to the bottom row on day $k$, then for any $0 < k' < k$, we can also walk from the top row to the bottom row on day $k'$. This exhibits monotonicity, so we can use binary search to find the largest $k$ such that we can walk from the top row to the bottom row on day $k$.
We define the left boundary of the binary search as $l = 1$ and the right boundary as $r = |cells|$, where $|cells|$ represents the length of the array $\textit{cells}$. Then, we perform binary search on $k$. For each $k$, we take the first $k$ elements of $\textit{cells}$, turn the corresponding cells into water, and then use breadth-first search (BFS) to try to walk from the top row to the bottom row. If we can reach the bottom row, it means we can walk from the top row to the bottom row on day $k$, so we update the left boundary $l$ to $k$. Otherwise, we update the right boundary $r$ to $k - 1$.
The time complexity is $O(m \times n \times \log (m \times n))$, and the space complexity is $O(m \times n)$. Here, $m$ and $n$ represent the number of rows and columns of the matrix, respectively.
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