1072. Flip Columns For Maximum Number of Equal Rows
Difficulty: Medium
Topics: Array
, Hash Table
, Matrix
You are given an m x n
binary matrix matrix
.
You can choose any number of columns in the matrix and flip every cell in that column (i.e., Change the value of the cell from 0
to 1
or vice versa).
Return the maximum number of rows that have all values equal after some number of flips.
Example 1:
- Input: matrix = [[0,1],[1,1]]
- Output: 1
- Explanation: After flipping no values, 1 row has all values equal.
Example 2:
- Input: matrix = [[0,1],[1,0]]
- Output: 2
- Explanation: After flipping values in the first column, both rows have equal values.
Example 3:
- Input: matrix = [[0,0,0],[0,0,1],[1,1,0]]
- Output: 2
- Explanation: After flipping values in the first two columns, the last two rows have equal values.
Constraints:
m == matrix.length
n == matrix[i].length
1 <= m, n <= 300
-
matrix[i][j]
is either0
or1
.
Hint:
- Flipping a subset of columns is like doing a bitwise XOR of some number K onto each row. We want rows X with X ^ K = all 0s or all 1s. This is the same as X = X^K ^K = (all 0s or all 1s) ^ K, so we want to count rows that have opposite bits set. For example, if K = 1, then we count rows X = (00000...001, or 1111....110).
Solution:
We can utilize a hash map to group rows that can be made identical by flipping certain columns. Rows that can be made identical have either the same pattern or a complementary pattern (bitwise negation).
Here’s the step-by-step solution:
Algorithm:
- For each row, calculate its pattern and complementary pattern:
- The pattern is the row as it is.
- The complementary pattern is the result of flipping all bits in the row.
- Use a hash map to count occurrences of patterns and their complements.
- The maximum count for any single pattern or its complement gives the result.
Let's implement this solution in PHP: 1072. Flip Columns For Maximum Number of Equal Rows
<?php
/**
* @param Integer[][] $matrix
* @return Integer
*/
function maxEqualRowsAfterFlips($matrix) {
...
...
...
/**
* go to ./solution.php
*/
}
// Example usage
$matrix1 = [[0, 1], [1, 1]];
$matrix2 = [[0, 1], [1, 0]];
$matrix3 = [[0, 0, 0], [0, 0, 1], [1, 1, 0]];
echo maxEqualRowsAfterFlips($matrix1) . "\n"; // Output: 1
echo maxEqualRowsAfterFlips($matrix2) . "\n"; // Output: 2
echo maxEqualRowsAfterFlips($matrix3) . "\n"; // Output: 2
?>
Explanation:
-
Pattern and Complement:
- For each row, the
pattern
is the concatenated row (e.g.,010
). - The
complement
flips all bits of the row (e.g.,101
).
- For each row, the
- Hash Map: Count the occurrences of each pattern and its complement. This helps group rows that can be made identical.
- Max Count: Find the maximum count of a single pattern or its complement to determine how many rows can be made identical.
Complexity:
- Time Complexity: O(m x n), where m is the number of rows and n is the number of columns.
- Space Complexity: O(m x n), for storing patterns in the hash map.
This solution adheres to the constraints and is efficient for the problem size.
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