The Minimum Number of Days to Disconnect Island interview question is a complex graph-theory problem set on a grid. You are given a grid of 0s (water) and 1s (land). An "island" is a maximal group of connected 1s. The grid is "connected" if there is exactly one island. Your task is to find the minimum number of days (where each day you can change one '1' to a '0') required to make the grid disconnected—meaning it has zero islands or more than one island.
This is a high-level problem often found in Google and Bloomberg interviews. It tests a candidate's ability to combine multiple graph traversal techniques. Specifically, it touches upon connectivity, "articulation points" (critical nodes in a graph), and edge cases. It requires a solid understanding of Depth-First Search (DFS) or Breadth-First Search (BFS) to count components and determine if the island structure has been broken.
This problem utilizes the Array, Matrix, BFS, DFS interview pattern. Surprisingly, the answer is always 0, 1, or 2. This is because any corner of an island can be disconnected by removing at most two neighbors. The strategy is:
Consider a 3x3 grid: 1 1 1 1 1 1 1 1 1 This is one island. If we remove the center (1,1), it stays one island (a ring). If we remove a corner (0,0), it stays one island. However, if we remove (0,1) AND (1,0), the corner (0,0) becomes its own isolated island. Thus, in 2 days, we can disconnect it.
The biggest mistake is over-engineering the solution by trying to find a general "minimum cut" using complex flow algorithms. Most candidates fail to realize the "maximum 2 days" property, which simplifies the problem immensely. Another error is not correctly counting islands—forgetting to reset the "visited" matrix between BFS/DFS calls during the simulation.
For grid-based connectivity problems, always start by writing a reliable countIslands helper function. Once you have that, you can test various scenarios. Also, keep an eye out for small constraints or mathematical properties (like the 0/1/2 rule here) that can turn a seemingly impossible problem into a manageable simulation.
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|---|---|---|---|
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