PHP Program for Rabin-Karp Algorithm for Pattern Searching
What is Rabin-Karp Algorithm?
The Rabin-Karp algorithm is a string pattern matching algorithm that efficiently searches for occurrences of a pattern within a larger text. It was developed by Michael O. Rabin and Richard M. Karp in 1987.
The algorithm utilizes a hashing technique to compare the hash values of the pattern and substrings of the text. It works as follows:
Calculate the hash value of the pattern and the first window of the text.
Slide the pattern over the text one position at a time and compare the hash values.
If the hash values match, compare the characters of the pattern and the current window of the text to confirm the match.
If there is a match, record the position/index of the match.
Calculate the hash value for the next window of the text using a rolling hash function.
Repeat steps 3 to 5 until all positions of the text have been checked.
The rolling hash function efficiently updates the hash value for each new window by subtracting the contribution of the first character in the previous window and adding the contribution of the next character in the new window. This helps avoid recalculating the hash value from scratch for each window, making the algorithm more efficient.
PHP Program for Rabin-Karp Algorithm for Pattern Searching
<?php function rabinKarp($pattern, $text) { $d = 256; // Number of characters in the input alphabet $q = 101; // A prime number $M = strlen($pattern); $N = strlen($text); $p = 0; // Hash value for pattern $t = 0; // Hash value for text $h = 1; // Calculate the hash value of pattern and first window of text for ($i = 0; $i < $M - 1; $i++) $h = ($h * $d) % $q; for ($i = 0; $i < $M; $i++) { $p = ($d * $p + ord($pattern[$i])) % $q; $t = ($d * $t + ord($text[$i])) % $q; } // Slide the pattern over text one by one for ($i = 0; $i <= $N - $M; $i++) { // Check the hash values of current window of text and pattern // If the hash values match, then only check for characters one by one if ($p == $t) { $match = true; // Check for characters one by one for ($j = 0; $j < $M; $j++) { if ($text[$i + $j] != $pattern[$j]) { $match = false; break; } } // Pattern found if ($match) echo "Pattern found at index " . $i . "<br>"; } // Calculate the hash value for the next window of text if ($i < $N - $M) { $t = ($d * ($t - ord($text[$i]) * $h) + ord($text[$i + $M])) % $q; // If the calculated hash value is negative, make it positive if ($t < 0) $t = $t + $q; } } } // Example usage $text = "ABCABCABCABCABC"; $pattern = "BC"; rabinKarp($pattern, $text); ?>
Output
Pattern found at index 1 Pattern found at index 4 Pattern found at index 7 Pattern found at index 10 Pattern found at index 13
Explanation of code
The PHP code implements the Rabin-Karp algorithm for pattern searching. It takes a pattern and a text as inputs and searches for occurrences of the pattern within the text. The algorithm calculates the hash values for the pattern and the first window of the text. It then slides the pattern over the text, comparing the hash values of the current window and the pattern. If the hash values match, it further verifies the characters one by one. If a match is found, it prints the index where the pattern is found. The algorithm uses a rolling hash function to efficiently update the hash value for each window. The code demonstrates the usage of the algorithm by searching for the pattern "BC" in the text "ABCABCABCABCABC".
Conclusion
In conclusion, The PHP program effectively implements the Rabin-Karp algorithm for pattern searching. By utilizing a rolling hash function and comparing hash values, the algorithm efficiently searches for occurrences of a pattern within a larger text. The program correctly identifies the indices where the pattern is found in the text and outputs the results. With a clear structure and appropriate hash calculations, the program demonstrates the functionality and usefulness of the Rabin-Karp algorithm for pattern searching in PHP.
The above is the detailed content of PHP Program for Rabin-Karp Algorithm for Pattern Searching. For more information, please follow other related articles on the PHP Chinese website!

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