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Longest Common Substring | Dynamic Programming | Data Structures And Algorithms

This presentation on the longest common substring will acquaint you with a clear understanding of the longest common substring and solution implementation. In this Data Structure and Algorithm Tutorial, you will understand a different aspect of dynamic programming and how to utilize it to find the longest common substring. Finally, we will cover the implementation of said solution to find the longest common substring. <br>

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Longest Common Substring | Dynamic Programming | Data Structures And Algorithms

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Presentation Transcript


  1. Agenda

  2. Agenda Problem Statement

  3. Click here to watch the video

  4. Agenda Algorithmic solution

  5. Agenda Implementation

  6. Problem Statement

  7. Problem Statement The longest common substring problem involves determining the longest string that is a substring of two or more strings. There might be several solutions to the problem.

  8. Algorithmic Solution

  9. Algorithmic Solution Firstly, For every substrings of both texts, we must calculate the length of the longest common suffix and maintain it in a table.

  10. Algorithmic Solution Firstly, For every substrings of both texts, we must calculate the length of the longest common suffix and maintain it in a table. If the last characters in the longest common suffix match, their lengths will be reduced by one.

  11. Algorithmic Solution Firstly, For every substrings of both texts, we must calculate the length of the longest common suffix and maintain it in a table. If the last characters in the longest common suffix match, their lengths will be reduced by one. If last characters do not match, then result is 0

  12. Algorithmic Solution Firstly, For every substrings of both texts, we must calculate the length of the longest common suffix and maintain it in a table. If the last characters in the longest common suffix match, their lengths will be reduced by one. If last characters do not match, then result is 0 Now we'll look at suffixes of various substrings that terminate at different indices.

  13. Algorithmic Solution Firstly, For every substrings of both texts, we must calculate the length of the longest common suffix and maintain it in a table. If the last characters in the longest common suffix match, their lengths will be reduced by one. If last characters do not match, then result is 0 Now we'll look at suffixes of various substrings that terminate at different indices. The Longest Common Suffix with the maximum length is the longest common substring.

  14. Implementation

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