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 アルゴリズム

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

Start Learning

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

Start Learning

💡 学習のヒント

基礎を固めるために初級レベルのアルゴリズムから始め、中級および上級のトピックに進んでください。各アルゴリズムには、インタラクティブな可視化、複雑度分析、複数の言語でのコード例が含まれています。