Introduction to String Matching:

String matching is a fundamental operation in computer science that involves finding the occurrence or occurrences of a pattern (a substring) within a text (a larger string). This operation has applications in various fields, including information retrieval, data processing, bioinformatics, and text processing.

Common String Matching Algorithms:

1.    Brute Force:

·        The simplest approach, where the pattern is systematically compared with all substrings of the text.

2.    Knuth-Morris-Pratt (KMP) Algorithm:

·        An efficient algorithm that avoids unnecessary character comparisons by utilizing information about the pattern itself.

3.    Boyer-Moore Algorithm:

·        A powerful algorithm that skips comparisons based on the occurrence of mismatched characters in the pattern.

4.    Rabin-Karp Algorithm:

·        A hashing-based algorithm that uses hash functions to quickly identify potential matches.

5.    Finite Automaton-Based Algorithms:

·        Algorithms that construct a finite automaton to recognize the pattern efficiently.