Friday, November 22, 2024

1072. Flip Columns For Maximum Number of Equal Rows

Programming Language1072. Flip Columns For Maximum Number of Equal Rows


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 either 0 or 1.

Hint:

  1. 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:

  1. 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.
  2. Use a hash map to count occurrences of patterns and their complements.
  3. 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
?>
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Explanation:

  1. 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).
  2. Hash Map: Count the occurrences of each pattern and its complement. This helps group rows that can be made identical.
  3. 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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