Given a binary matrix. The problem is to find the largest area rectangular sub-matrix with equal number of 1’s and 0’s.

Examples:

Input : mat[][] = { {0, 0, 1, 1}, {0, 1, 1, 0}, {1, 1, 1, 0}, {1, 0, 0, 1} } Output : 8 sq. units(Top, left):(0, 0)(Bottom, right):(3, 1) Input : mat[][] = { {0, 0, 1, 1}, {0, 1, 1, 1} } Output : 6 sq. units

The **naive solution** for this problem is to check every possible rectangle in given 2D array by counting the total number of 1’s and 0’s in that rectangle. This solution requires 4 nested loops and time complexity of this solution would be O(n^4).

An **efficient solution** is based on Largest rectangular sub-matrix whose sum is 0 which reduces the time complexity to O(n^3). First of all consider every ‘0’ in the matrix as ‘-1’. Now, the idea is to reduce the problem to 1-D array. We fix the left and right columns one by one and find the largest sub-array with 0 sum contiguous rows for every left and right column pair. We basically find top and bottom row numbers (which have sum zero) for every fixed left and right column pair. To find the top and bottom row numbers, calculate sum of elements in every row from left to right and store these sums in an array say temp[]. So temp[i] indicates sum of elements from left to right in row i. If we find largest subarray with 0 sum in temp[], we can get the index positions of rectangular sub-matrix with sum equal to 0 (i.e. having equal number of 1’s and 0’s). With this process we can find the largest area rectangular sub-matrix with sum equal to 0 (i.e. having equal number of 1’s and 0’s). We can use Hashing technique to find maximum length sub-array with sum equal to 0 in 1-D array in O(n) time.

`// C++ implementation to find largest area rectangular ` `// submatrix with equal number of 1's and 0's ` `#include <bits/stdc++.h> ` ` ` `using` `namespace` `std; ` ` ` `#define MAX_ROW 10 ` `#define MAX_COL 10 ` ` ` `// This function basically finds largest 0 ` `// sum subarray in arr[0..n-1]. If 0 sum ` `// does't exist, then it returns false. Else ` `// it returns true and sets starting and ` `// ending indexes as start and end. ` `bool` `subArrWithSumZero(` `int` `arr[], ` `int` `&start, ` ` ` `int` `&end, ` `int` `n) ` `{ ` ` ` `// to store cumulative sum ` ` ` `int` `sum[n]; ` ` ` ` ` `// Initialize all elements of sum[] to 0 ` ` ` `memset` `(sum, 0, ` `sizeof` `(sum)); ` ` ` ` ` `// map to store the indexes of sum ` ` ` `unordered_map<` `int` `, ` `int` `> um; ` ` ` ` ` `// build up the cumulative sum[] array ` ` ` `sum[0] = arr[0]; ` ` ` `for` `(` `int` `i=1; i<n; i++) ` ` ` `sum[i] = sum[i-1] + arr[i]; ` ` ` ` ` `// to store the maximum length subarray ` ` ` `// with sum equal to 0 ` ` ` `int` `maxLen = 0; ` ` ` ` ` `// traverse to the sum[] array ` ` ` `for` `(` `int` `i=0; i<n; i++) ` ` ` `{ ` ` ` `// if true, then there is a subarray ` ` ` `// with sum equal to 0 from the ` ` ` `// beginning up to index 'i' ` ` ` `if` `(sum[i] == 0) ` ` ` `{ ` ` ` `// update the required variables ` ` ` `start = 0; ` ` ` `end = i; ` ` ` `maxLen = (i+1); ` ` ` `} ` ` ` ` ` `// else if true, then sum[i] has not ` ` ` `// seen before in 'um' ` ` ` `else` `if` `(um.find(sum[i]) == um.end()) ` ` ` `um[sum[i]] = i; ` ` ` ` ` `// sum[i] has been seen before in the ` ` ` `// unordered_map 'um' ` ` ` `else` ` ` `{ ` ` ` `// if previous subarray length is smaller ` ` ` `// than the current subarray length, then ` ` ` `// update the required variables ` ` ` `if` `(maxLen < (i-um[sum[i]])) ` ` ` `{ ` ` ` `maxLen = (i-um[sum[i]]); ` ` ` `start = um[sum[i]] + 1; ` ` ` `end = i; ` ` ` `} ` ` ` `} ` ` ` `} ` ` ` ` ` `// if true, then there is no ` ` ` `// subarray with sum equal to 0 ` ` ` `if` `(maxLen == 0) ` ` ` `return` `false` `; ` ` ` ` ` `// else return true ` ` ` `return` `true` `; ` `} ` ` ` `// function to find largest area rectangular ` `// submatrix with equal number of 1's and 0's ` `void` `maxAreaRectWithSumZero(` `int` `mat[MAX_ROW][MAX_COL], ` ` ` `int` `row, ` `int` `col) ` `{ ` ` ` `// to store intermediate values ` ` ` `int` `temp[row], startRow, endRow; ` ` ` ` ` `// to store the final outputs ` ` ` `int` `finalLeft, finalRight, finalTop, finalBottom; ` ` ` `finalLeft = finalRight = finalTop = finalBottom = -1; ` ` ` `int` `maxArea = 0; ` ` ` ` ` `// Set the left column ` ` ` `for` `(` `int` `left = 0; left < col; left++) ` ` ` `{ ` ` ` `// Initialize all elements of temp as 0 ` ` ` `memset` `(temp, 0, ` `sizeof` `(temp)); ` ` ` ` ` `// Set the right column for the left column ` ` ` `// set by outer loop ` ` ` `for` `(` `int` `right = left; right < col; right++) ` ` ` `{ ` ` ` `// Calculate sum between current left ` ` ` `// and right for every row 'i' ` ` ` `// consider value '1' as '1' and ` ` ` `// value '0' as '-1' ` ` ` `for` `(` `int` `i=0; i<row; i++) ` ` ` `temp[i] += mat[i][right] ? 1 : -1; ` ` ` ` ` `// Find largest subarray with 0 sum in ` ` ` `// temp[]. The subArrWithSumZero() function ` ` ` `// also sets values of finalTop, finalBottom, ` ` ` `// finalLeft and finalRight if there exists ` ` ` `// a subarray with sum 0 in temp ` ` ` `if` `(subArrWithSumZero(temp, startRow, endRow, row)) ` ` ` `{ ` ` ` `int` `area = (right - left + 1) * ` ` ` `(endRow - startRow + 1); ` ` ` ` ` `// Compare current 'area' with previous area ` ` ` `// and accodingly update final values ` ` ` `if` `(maxArea < area) ` ` ` `{ ` ` ` `finalTop = startRow; ` ` ` `finalBottom = endRow; ` ` ` `finalLeft = left; ` ` ` `finalRight = right; ` ` ` `maxArea = area; ` ` ` `} ` ` ` `} ` ` ` `} ` ` ` `} ` ` ` ` ` `// if true then there is no rectangular submatrix ` ` ` `// with equal number of 1's and 0's ` ` ` `if` `(maxArea == 0) ` ` ` `cout << ` `"No such rectangular submatrix exists:"` `; ` ` ` ` ` `// displaying the top left and bottom right boundaries ` ` ` `// with the area of the rectangular submatrix ` ` ` `else` ` ` `{ ` ` ` `cout << ` `"(Top, Left): "` ` ` `<< ` `"("` `<< finalTop << ` `", "` `<< finalLeft ` ` ` `<< ` `")"` `<< endl; ` ` ` ` ` `cout << ` `"(Bottom, Right): "` ` ` `<< ` `"("` `<< finalBottom << ` `", "` `<< finalRight ` ` ` `<< ` `")"` `<< endl; ` ` ` ` ` `cout << ` `"Area: "` `<< maxArea << ` `" sq.units"` `; ` ` ` `} ` `} ` ` ` `// Driver program to test above ` `int` `main() ` `{ ` ` ` `int` `mat[MAX_ROW][MAX_COL] = { {0, 0, 1, 1}, ` ` ` `{0, 1, 1, 0}, ` ` ` `{1, 1, 1, 0}, ` ` ` `{1, 0, 0, 1} }; ` ` ` `int` `row = 4, col = 4; ` ` ` `maxAreaRectWithSumZero(mat, row, col); ` ` ` `return` `0; ` ` ` `} ` |

*chevron_right*

*filter_none*

Output:

(Top, Left): (0, 0) (Bottom, Right): (3, 1) Area: 8 sq.units

Time Complexity: O(n^{3})

Auxiliary Space: O(n)

This article is contributed by **Ayush Jauhari**. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.

Attention reader! Don’t stop learning now. Get hold of all the important DSA concepts with the **DSA Self Paced Course** at a student-friendly price and become industry ready.

## Recommended Posts:

- Find the largest area rectangular sub-matrix whose sum is equal to k
- Summed Area Table - Submatrix Summation
- Largest possible square submatrix with maximum AND value
- Largest rectangular sub-matrix whose sum is 0
- Largest rectangular sub-matrix having sum divisible by k
- Minimum cells to be flipped to get a 2*2 submatrix with equal elements
- Largest sub-matrix with all equal elements
- Number of ways to select equal sized subarrays from two arrays having atleast K equal pairs of elements
- Submatrix Sum Queries
- XOR of a submatrix queries
- Submatrix of given size with maximum 1's
- Minimum sum submatrix in a given 2D array
- Count of submatrix with sum X in a given Matrix
- Maximum value in a matrix which contain intersecting concentric submatrix
- Maximize the binary matrix by filpping submatrix once
- Construct a Matrix whose sum of diagonals for each square submatrix is even
- Find Maximum Length Of A Square Submatrix Having Sum Of Elements At-Most K
- Check if a matrix contains a square submatrix with 0 as boundary element
- Check if matrix A can be converted to B by changing parity of corner elements of any submatrix
- Print concentric rectangular pattern in a 2d matrix