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Master the KMP algorithm among the string matching algorithms in PHP, and what are the techniques to improve the speed of pattern matching?

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Release: 2023-09-20 11:14:01
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Master the KMP algorithm among the string matching algorithms in PHP, and what are the techniques to improve the speed of pattern matching?

What are the techniques to master the KMP algorithm in string matching algorithms in PHP and improve the speed of pattern matching?

KMP algorithm (Knuth-Morris-Pratt Algorithm) is an efficient string matching algorithm that can achieve string pattern matching within a time complexity of O(n m). In PHP, mastering the KMP algorithm can improve the speed of string matching, especially when processing large amounts of text. This article will introduce the principles of the KMP algorithm and provide PHP code examples to demonstrate its use.

  1. KMP algorithm principle
    The core idea of ​​the KMP algorithm is that when matching between the pattern string and the target string, when the match fails, there is no need to backtrack all the characters that have been compared, but use Already matched information skips some characters to improve matching efficiency. The KMP algorithm implements the operation of skipping characters by calculating the longest common suffix of the pattern string, that is, obtaining a next array through preprocessing to indicate the number of characters that should be skipped when the match fails.
  2. Build next array
    In the KMP algorithm, you need to first build a next array to indicate the number of characters that should be skipped when the match fails. A PHP code example is given below to demonstrate how to construct the next array:
function buildNextArray($pattern) {
    $len = strlen($pattern);
    $next = array_fill(0, $len, 0);
    $next[0] = -1;
    
    $i = 0; 
    $j = -1;
    
    while ($i < $len - 1) {
        if ($j == -1 || $pattern[$i] == $pattern[$j]) {
            $i++;
            $j++;
            $next[$i] = $j;
        } else {
            $j = $next[$j];
        }
    }
    
    return $next;
}
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  1. KMP algorithm matching
    With the next array constructed previously, we can use the KMP algorithm for string matching . A PHP code example is given below to demonstrate the matching process of the KMP algorithm:
function kmpMatch($text, $pattern) {
    $textLen = strlen($text);
    $patternLen = strlen($pattern);
    $next = buildNextArray($pattern);
    
    $i = 0; 
    $j = 0;
    
    while ($i < $textLen && $j < $patternLen) {
        if ($j == -1 || $text[$i] == $pattern[$j]) {
            $i++;
            $j++;
        } else {
            $j = $next[$j];
        }
    }
    
    if ($j == $patternLen) {
        return $i - $j;
    }
    
    return -1;
}
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  1. Using the KMP algorithm for string matching
    Using the KMP algorithm for string matching is very simple. The following is an example of PHP code that uses the KMP algorithm for string matching:
$text = "ABABABACDABABCABABCAB";
$pattern = "ABABCAB";

$index = kmpMatch($text, $pattern);

if ($index != -1) {
    echo "匹配成功,首次出现位置:".$index;
} else {
    echo "未找到匹配的子串";
}
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In the above example, "Matching successful, first occurrence position: 7" will be output, that is, in the target string $ The pattern string $pattern is matched in text, and the first occurrence is at index 7.

By mastering the KMP algorithm, we can efficiently perform string matching in PHP, reducing unnecessary character comparisons and backtracking, thus improving the speed of pattern matching. Through the introduction and code examples of this article, I believe that readers will have a deeper understanding of the principles and implementation of the KMP algorithm, and can apply this knowledge in actual projects to improve the efficiency of string matching.

The above is the detailed content of Master the KMP algorithm among the string matching algorithms in PHP, and what are the techniques to improve the speed of pattern matching?. For more information, please follow other related articles on the PHP Chinese website!

source:php.cn
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