You are an urban planner working on a city development project. You have a grid-based map where each cell represents a plot of land. A value of '1' indicates a plot is available for development, while '0' indicates a plot that cannot be used.
Your task is to find the largest rectangular area of available plots (containing only 1's) that can be developed as a single project. This will maximize the land usage efficiency for the city.
Write a function that takes a binary matrix (grid of 0's and 1's) and returns the area of the largest rectangle containing only 1's.
Input: [
["1","0","1","0","0"],
["1","0","1","1","1"],
["1","1","1","1","1"],
["1","0","0","1","0"]
]
Output: 6
Explanation: The maximal rectangle is shown in the above grid. The area of this rectangle is 6 (2×3).
Input: [
["0","1"],
["1","0"]
]
Output: 1
Explanation: Each '1' forms a rectangle of area 1, and there are no larger rectangles.
Input: [["0"]]
Output: 0
Explanation: There are no '1's in the grid, so the maximal rectangle has area 0.
To solve this problem, we need to:
Apply string manipulation concepts to solve a real-world problem.
You are an urban planner working on a city development project. You have a grid-based map where each cell represents a plot of land. A value of '1' indicates a plot is available for development, while '0' indicates a plot that cannot be used.
Your task is to find the largest rectangular area of available plots (containing only 1's) that can be developed as a single project. This will maximize the land usage efficiency for the city.
Write a function that takes a binary matrix (grid of 0's and 1's) and returns the area of the largest rectangle containing only 1's.
The maximal rectangle is shown in the above grid. The area of this rectangle is 6 (2×3).
Each '1' forms a rectangle of area 1, and there are no larger rectangles.
There are no '1's in the grid, so the maximal rectangle has area 0.
This problem can be reduced to finding the largest rectangle in a histogram for each row.
Dynamic programming can be used to efficiently calculate the heights for each position.
A stack-based approach can efficiently find the largest rectangle in a histogram.
The problem requires considering both horizontal and vertical continuity of 1's.
This problem has several practical applications:
Finding the largest contiguous area for development projects in city planning.
Detecting rectangular regions in binary images for object recognition.
Finding the largest rectangle in heatmaps or other grid-based data visualizations.
You are an urban planner working on a city development project. You have a grid-based map where each cell represents a plot of land. A value of '1' indicates a plot is available for development, while '0' indicates a plot that cannot be used.
Your task is to find the largest rectangular area of available plots (containing only 1's) that can be developed as a single project. This will maximize the land usage efficiency for the city.
Write a function that takes a binary matrix (grid of 0's and 1's) and returns the area of the largest rectangle containing only 1's.
Input: [
["1","0","1","0","0"],
["1","0","1","1","1"],
["1","1","1","1","1"],
["1","0","0","1","0"]
]
Output: 6
Explanation: The maximal rectangle is shown in the above grid. The area of this rectangle is 6 (2×3).
Input: [
["0","1"],
["1","0"]
]
Output: 1
Explanation: Each '1' forms a rectangle of area 1, and there are no larger rectangles.
Input: [["0"]]
Output: 0
Explanation: There are no '1's in the grid, so the maximal rectangle has area 0.
To solve this problem, we need to:
Apply string manipulation concepts to solve a real-world problem.
You are an urban planner working on a city development project. You have a grid-based map where each cell represents a plot of land. A value of '1' indicates a plot is available for development, while '0' indicates a plot that cannot be used.
Your task is to find the largest rectangular area of available plots (containing only 1's) that can be developed as a single project. This will maximize the land usage efficiency for the city.
Write a function that takes a binary matrix (grid of 0's and 1's) and returns the area of the largest rectangle containing only 1's.
The maximal rectangle is shown in the above grid. The area of this rectangle is 6 (2×3).
Each '1' forms a rectangle of area 1, and there are no larger rectangles.
There are no '1's in the grid, so the maximal rectangle has area 0.
This problem can be reduced to finding the largest rectangle in a histogram for each row.
Dynamic programming can be used to efficiently calculate the heights for each position.
A stack-based approach can efficiently find the largest rectangle in a histogram.
The problem requires considering both horizontal and vertical continuity of 1's.
This problem has several practical applications:
Finding the largest contiguous area for development projects in city planning.
Detecting rectangular regions in binary images for object recognition.
Finding the largest rectangle in heatmaps or other grid-based data visualizations.