You are an urban planner designing a new city layout. You want to place a central plaza in the shape of a plus sign ("+") in the city. The city is represented as an n×n grid where some cells are buildings (denoted by 0) and others are empty spaces (denoted by 1).
A plus sign of order k can be placed in the grid if there are at least k consecutive 1's in all four directions (up, down, left, and right) from the center cell. The center of the plus sign must be an empty space (1), and all cells that are part of the plus sign must also be empty spaces.
Given n and an array of coordinates representing buildings, your task is to find the largest possible plus sign that can be placed in the city.
Input: n = 5, mines = [[4, 2]]
Output: 2
Explanation: In the 5×5 grid with a building at (4, 2), the largest plus sign that can be placed has order 2.
Input: n = 3, mines = [[0, 0], [0, 2], [2, 0], [2, 2]]
Output: 1
Explanation: In the 3×3 grid with buildings at the four corners, the largest plus sign that can be placed has order 1.
Input: n = 2, mines = [[0, 0], [0, 1], [1, 0], [1, 1]]
Output: 0
Explanation: In the 2×2 grid with buildings at all cells, no plus sign can be placed.
To solve this problem, we need to:
Apply string manipulation concepts to solve a real-world problem.
You are an urban planner designing a new city layout. You want to place a central plaza in the shape of a plus sign ("+") in the city. The city is represented as an n×n grid where some cells are buildings (denoted by 0) and others are empty spaces (denoted by 1).
A plus sign of order k can be placed in the grid if there are at least k consecutive 1's in all four directions (up, down, left, and right) from the center cell. The center of the plus sign must be an empty space (1), and all cells that are part of the plus sign must also be empty spaces.
Given n and an array of coordinates representing buildings, your task is to find the largest possible plus sign that can be placed in the city.
In the 5×5 grid with a building at (4, 2), the largest plus sign that can be placed has order 2.
In the 3×3 grid with buildings at the four corners, the largest plus sign that can be placed has order 1.
In the 2×2 grid with buildings at all cells, no plus sign can be placed.
The order of a plus sign is determined by the minimum number of consecutive 1's in all four directions from the center.
We can precompute the number of consecutive 1's in each direction for each cell to efficiently find the largest plus sign.
Dynamic programming can be used to compute these values in a single pass through the grid.
The problem can be solved in O(n²) time complexity, which is optimal since we need to consider all cells in the grid.
This problem has several practical applications:
Designing city layouts with specific geometric patterns and constraints.
Finding specific patterns or shapes in images represented as grids.
Identifying and measuring the size of cross-shaped patterns in data.
You are an urban planner designing a new city layout. You want to place a central plaza in the shape of a plus sign ("+") in the city. The city is represented as an n×n grid where some cells are buildings (denoted by 0) and others are empty spaces (denoted by 1).
A plus sign of order k can be placed in the grid if there are at least k consecutive 1's in all four directions (up, down, left, and right) from the center cell. The center of the plus sign must be an empty space (1), and all cells that are part of the plus sign must also be empty spaces.
Given n and an array of coordinates representing buildings, your task is to find the largest possible plus sign that can be placed in the city.
Input: n = 5, mines = [[4, 2]]
Output: 2
Explanation: In the 5×5 grid with a building at (4, 2), the largest plus sign that can be placed has order 2.
Input: n = 3, mines = [[0, 0], [0, 2], [2, 0], [2, 2]]
Output: 1
Explanation: In the 3×3 grid with buildings at the four corners, the largest plus sign that can be placed has order 1.
Input: n = 2, mines = [[0, 0], [0, 1], [1, 0], [1, 1]]
Output: 0
Explanation: In the 2×2 grid with buildings at all cells, no plus sign can be placed.
To solve this problem, we need to:
Apply string manipulation concepts to solve a real-world problem.
You are an urban planner designing a new city layout. You want to place a central plaza in the shape of a plus sign ("+") in the city. The city is represented as an n×n grid where some cells are buildings (denoted by 0) and others are empty spaces (denoted by 1).
A plus sign of order k can be placed in the grid if there are at least k consecutive 1's in all four directions (up, down, left, and right) from the center cell. The center of the plus sign must be an empty space (1), and all cells that are part of the plus sign must also be empty spaces.
Given n and an array of coordinates representing buildings, your task is to find the largest possible plus sign that can be placed in the city.
In the 5×5 grid with a building at (4, 2), the largest plus sign that can be placed has order 2.
In the 3×3 grid with buildings at the four corners, the largest plus sign that can be placed has order 1.
In the 2×2 grid with buildings at all cells, no plus sign can be placed.
The order of a plus sign is determined by the minimum number of consecutive 1's in all four directions from the center.
We can precompute the number of consecutive 1's in each direction for each cell to efficiently find the largest plus sign.
Dynamic programming can be used to compute these values in a single pass through the grid.
The problem can be solved in O(n²) time complexity, which is optimal since we need to consider all cells in the grid.
This problem has several practical applications:
Designing city layouts with specific geometric patterns and constraints.
Finding specific patterns or shapes in images represented as grids.
Identifying and measuring the size of cross-shaped patterns in data.