String Matching Algorithms

String matching algorithms are computational techniques used to find patterns within a larger string or text. These methods are essential to many applications, including bioinformatics, text processing, data mining, and...

The Rabin-Karp algorithm is a string matching algorithm that uses hashing techniques to find occurrences of a pattern within a larger text.

Algorithm:

1. Preprocess the pattern:

- Calculate the hash value of the pattern.

- Calculat...

Z algorithm (Linear time pattern searching Algorithm)

This is a linear time pattern searching algorithm used to find all occurrences of a pattern within a text. It preprocesses the pattern to construct a Z-array, which contains information about ...

The Knuth-Morris-Pratt (KMP) algorithm is a pattern searching algorithm that efficiently finds all occurrences of a pattern within a text. It utilizes a preprocessed array called the "failure function" or "longest prefix suffix array" to skip unnecess...

This algorithm efficiently finds all occurrences of a pattern within a text. It uses two heuristic rules to skip unnecessary comparisons, making it one of the fastest string matching algorithms.

Algorithm:

1. Preprocess the pattern:

- Co...

1. Structure:

- BST: Each node contains a string value and has two child nodes, with strings in the left subtree being smaller and strings in the right subtree being larger.

- Trie: Each node represents a character, and paths from the ...

The following data structures can be used for storing strings efficiently:

Hashing Tables

Hashing tables use a hash function to map strings to indices in a hash table(a...

What is a Suffix Tree?

A suffix tree is a tree-like data structure used to efficiently store and search for substrings of a given string. It is particularly useful for various string-related algorithms such as pattern matching, substring search, ...