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 algorithmes

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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💡 Conseil d'apprentissage

Commencez par les algorithmes de niveau débutant pour construire vos bases, puis progressez vers les sujets intermédiaires et avancés. Chaque algorithme comprend des visualisations interactives, une analyse de complexité et des exemples de code dans plusieurs langages.