String Algorithms

Master efficient pattern matching and string manipulation techniques. Learn substring search algorithms like Knuth-Morris-Pratt (KMP) for O(n+m) pattern matching, Boyer-Moore for practical text searching, and Rabin-Karp for multiple pattern detection. These algorithms power text editors, search engines, DNA sequence analysis, and data validation systems.

2 algorithms

KMP String Matching

Advanced

Knuth-Morris-Pratt algorithm for efficient pattern matching in strings. Uses a failure function (LPS array) to skip unnecessary comparisons, achieving O(n+m) time complexity. Essential for text search, DNA sequence analysis, and plagiarism detection.

O(n + m)

O(m)

stringpattern-matching

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Boyer-Moore String Matching

Advanced

Efficient string searching algorithm using bad character and good suffix heuristics. Compares pattern from right to left, allowing large jumps on mismatch. Achieves sublinear time in practice, making it one of the fastest string matching algorithms.

O(n)

O(m + σ)

stringpattern-matching

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💡 Learning Tip

Start with the beginner-level algorithms to build your foundation, then progress to intermediate and advanced topics. Each algorithm includes interactive visualizations, complexity analysis, and code examples in multiple languages.