Largest Rectangle Submatrix - Amazon Top Interview Questions


Problem Statement :


Given a two-dimensional integer matrix consisting only of 1s and 0s, return the area of the largest rectangle containing only 1s.

Constraints

0 ≤ n, m ≤ 250 where n and m are the number of rows and columns in matrix

Example 1

Input

matrix = [
    [1, 0, 0, 0],
    [1, 0, 1, 1],
    [1, 0, 1, 1],
    [0, 1, 0, 0]
]

Output

4

Explanation

The biggest rectangle here is the 2 by 2 square of 1s on the right.

Example 2

Input

matrix = [
    [1, 0, 0, 0, 0],
    [0, 0, 1, 1, 0],
    [0, 1, 1, 0, 0],
    [0, 0, 0, 0, 0],
    [1, 1, 0, 0, 1],
    [1, 1, 0, 0, 1]
]

Output

4

Example 3

Input

matrix = [
    [1, 1, 1, 1],
    [1, 1, 1, 1],
    [1, 1, 1, 1],
    [0, 0, 0, 0]
]

Output

12

Example 4

Input

matrix = [
    [1, 1, 1, 1],
    [1, 0, 0, 1],
    [1, 1, 1, 1],
    [1, 1, 1, 1]
]

Output

8



Solution :



title-img




                        Solution in C++ :

int solve(vector<vector<int>>& matrix) {
    if (!matrix.size() || !matrix[0].size()) return 0;
    int i, j, m = matrix.size(), n = matrix[0].size(), ret = 0;
    vector<int> height(n + 1, 0);
    for (i = 0; i < m; i++) {
        vector<int> st;
        for (j = 0; j <= n; j++) {
            if (j < n) height[j] = (matrix[i][j] ? height[j] + 1 : 0);
            while (st.size() && height[st.back()] >= height[j]) {
                int h = height[st.back()];
                st.pop_back();
                int w = (st.size() ? j - st.back() - 1 : j);
                ret = max(ret, w * h);
            }
            st.push_back(j);
        }
    }
    return ret;
}
                    


                        Solution in Java :

import java.util.*;

class Solution {
    public int solve(int[][] matrix) {
        final int C = matrix[0].length;
        int[] dp = new int[C];
        int res = 0;
        Stack<int[]> stack = new Stack<>();
        for (int[] row : matrix) {
            for (int c = 0; c != C; c++) {
                dp[c] = row[c] == 0 ? 0 : dp[c] + 1;

                int earliest = c;
                while (stack.isEmpty() == false && stack.peek()[1] >= dp[c]) {
                    int[] prev = stack.pop();
                    earliest = prev[0];
                    res = Math.max(res, (c - prev[0]) * prev[1]);
                }
                stack.push(new int[] {earliest, dp[c]});
            }
            while (stack.isEmpty() == false) {
                int[] prev = stack.pop();
                res = Math.max(res, (C - prev[0]) * prev[1]);
            }
        }
        return res;
    }
}
                    


                        Solution in Python : 
                            
class Solution:
    def solve(self, matrix):
        M, N = len(matrix), len(matrix[0])
        skyline = [0] * N
        area = 0
        for row in matrix:
            skyline = self.update_skyline(row, skyline)
            area = max(area, self.largest_rect_area(skyline))
        return area

    def update_skyline(self, row, prev_skyline):
        new_skyline = []
        for nonzero, prev_height in zip(row, prev_skyline):
            new_skyline.append(prev_height + 1 if nonzero else 0)
        return new_skyline

    def largest_rect_area(self, skyline):
        stack = []
        area = 0
        for i, height in enumerate(skyline + [0]):
            earliest_j = i
            while stack and height <= stack[-1][1]:
                j, other_height = stack.pop()
                area = max(area, (i - j) * other_height)
                earliest_j = min(earliest_j, j)
            stack.append((earliest_j, height))
        return area
                    


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