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The example of this article describes the method of using JavaScript custom function to find the longest common substring of two strings. Share it with everyone for your reference, the details are as follows: //Find the longest common substring of two strings function findSubStr(s1,s2){ var S=sstr= "" ,L1=s1.length,L2=s2.length; if (L1>L2){ var s3=s1;s1=s2,s2=s3,L1=s2.length;} for ( var j=L1;j> 0 ;j--) for (var i= 0 
Introduction: JavaScript custom function implements the method of finding the longest common substring of two strings
Introduction: Longest common subsequence, php: LCS algorithm & maximum common substring & longest common subsequence PHP implementation: Find the maximum common substring & longest common subsequence of two strings Input: abcbdab bdcaba4 means that the maximum common substring length of bdcaba and abcbdab is 4. The conventional enumeration method calculates all the subsequences of the two strings, and then compares them separately to select the largest substring. Disadvantages: For a character of length n string, the number of substrings is 2 to the nth power, and then the substrings of the two strings are compared in sequence. The efficiency is too low. The dynamic programming LCS algorithm uses the idea of dynamic programming to solve this problem. We use a two-digit array $
3. Python longest common substring algorithm example
Introduction: This article mainly introduces the most common substring algorithm in Python Long common substring algorithm, an example analysis of Python string operation skills, friends in need can refer to
4. Use PHP to solve the longest common substring problem
Introduction: Use PHP to solve the longest common substring problem
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