Discover how bottom-up tree pattern matching can improve performance in complex pattern languages.
This book presents new algorithms and space-time tradeoffs for multi-pattern matching.
Grounded in theory and practical systems like RAPTS, it compares prior approaches and introduces online preprocessing, space-efficient methods, and adaptations to simple patterns. The work emphasizes both the math and the real-world impact of pattern matching on trees.
Ideal for readers who want a clear, practical look at advanced pattern matching and its applications in computer science.
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