Efficient String Searching With Boyer Moore
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Efficient String Searching with Boyer-Moore
"Efficient String Searching with Boyer-Moore" Efficient String Searching with Boyer-Moore offers a comprehensive exploration into one of the most influential algorithms in the realm of pattern matching. Beginning with a broad survey of string searching algorithms and their critical applications—from bioinformatics to cybersecurity—the book grounds readers in the theory, challenges, and industry drivers that make high-performance search indispensable in today’s data-rich landscape. By defining formal models and scrutinizing the complexity of traditional approaches, the text skillfully motivates the transition to Boyer-Moore and its unique heuristics. At its core, the book delves deeply into the Boyer-Moore algorithm’s innovative mechanics, covering its historical development, core heuristics (bad character and good suffix), and providing rigorous correctness proofs and flow diagrams. Advanced chapters unravel practical aspects such as cache-efficient implementations, parallel processing, and the intricacies of adapting the algorithm for Unicode and non-ASCII text. Readers will also find in-depth guidance on optimizing for modern architectures and integrating the algorithm within large-scale systems. Extending beyond the fundamentals, the text explores powerful variants and related algorithms—such as Boyer-Moore-Horspool, multi-pattern searching, and hardware-accelerated solutions. It addresses contemporary concerns of security, robustness against adversarial inputs, and distributed/cloud-scale deployments. Concluding with future directions, including machine learning integration and quantum hardware, this book stands as an essential resource for engineers, researchers, and practitioners aiming to master efficient string searching in both classical and modern computing environments.
Flexible Pattern Matching in Strings
Author: Gonzalo Navarro
language: en
Publisher: Cambridge University Press
Release Date: 2002-05-27
Presents recently developed algorithms for searching for simple, multiple and extended strings, regular expressions, exact and approximate matches.
Algorithms on Strings, Trees, and Sequences
Author: Dan Gusfield
language: en
Publisher: Cambridge University Press
Release Date: 1997-05-28
String algorithms are a traditional area of study in computer science. In recent years their importance has grown dramatically with the huge increase of electronically stored text and of molecular sequence data (DNA or protein sequences) produced by various genome projects. This book is a general text on computer algorithms for string processing. In addition to pure computer science, the book contains extensive discussions on biological problems that are cast as string problems, and on methods developed to solve them. It emphasises the fundamental ideas and techniques central to today's applications. New approaches to this complex material simplify methods that up to now have been for the specialist alone. With over 400 exercises to reinforce the material and develop additional topics, the book is suitable as a text for graduate or advanced undergraduate students in computer science, computational biology, or bio-informatics. Its discussion of current algorithms and techniques also makes it a reference for professionals.