String Searching Algorithms [1 ed.] 9810237030, 9789810237035
String searching is a subject of both theoretical and practical interest in computer science. This book presents a bibli
243 54 8MB
English Pages [253] Year 1994
Table of contents :
Preface
Contents
List of Figures
Introduction
Some Definitions
Algorithm Presentation
Chapter Preview
String Matching
2.1 Overview
2.1.1 Brute Force
2.1.2 Knuth-Morris-Pratt and Beyer-Moore Approaches
2.1.3 Hashing Functions
2.1.4 Comparative Performance
Space Optimality
2.1.5 Popularity
2.1 .6 Multiple-String Searches
2.2 Algorithms in Detail
2.2.1 Brute Force
2.2.2 Knuth-Morris-Pratt
2.2.3 Beyer-Moore
2.2.4 Boyer-Moore-Horspool
2.2.5 Sunday - Quick Search, Maximal Shift, and Optimal Mismatch
2.2.6 Hume and Sunday- Tuned Boyer-Moore and Least Cost
2.3 Further Reading
String Distance and Common Sequences
3.1 Overview
3.1.1 String Distance Measures
3.1.2 String Distance and Longest Common Subsequence
3.1.3 Comparative Performance
3.1.4 Related Problems
3.2 Algorithms in Detail
3.2.1 Wagner-Fischer
3.2.2 Hirschberg
3.2.3 Hunt-Szymanski
3.2.4 Masek-Paterson
3.2.5 Ukkonen
3.2.6 Heaviest Common Subsequence
3.3 Further Reading
Suffix Trees
4.1 Overview
4.1.1 Suffix Tries
4.1.2 From Suffix Trie to Suffix Tree
4.2 Algorithms in Detail
4.2. 1 Brute Force
4.2.2 McCreight
4.2.3 Ukkonen
4.3 Further Reading
Approximate String Matching
5.1 Overview
5.1 .1 String Matching with k Mismatches
5.1.2 String Matching with k Differences
5.1.3 String Matching with Don't-Cares
5.1.4 Application Areas
5.1.5 Dedicated Hardware and Parallel Algorithms
5.2 Algorithms in Detail
5.2.1 Landau-Vishkin k-mismatches
5.2.2 Shift-Add
5.2.3 Tarhio-Ukkonen k-mismatches
5.2.4 Baeza-Yates-Perleberg k-mismatches
5.2.5 Dynamic Programming k-differences
5.2.6 Landau-Vishkin k-differences
5.2. 7 Chang-Lawler k-differences
5.2.8 Chang-Lampe k-differences
5.2.9 Wu-Manber k-differences
5.3 Further Reading
Repeated Substrings
6.1 Overview
6.1 .1 Repetitions
6.1.2 Longest Repeated Substrings
6.2 Algorithms in Detail
6.2.1 Brute Force
6.2.2 Suffix Trees
Appendix
Asymptotic Notation
String Symbology
Glossary
Bibliography
Index
Preface
Contents
List of Figures
Introduction
Some Definitions
Algorithm Presentation
Chapter Preview
String Matching
2.1 Overview
2.1.1 Brute Force
2.1.2 Knuth-Morris-Pratt and Beyer-Moore Approaches
2.1.3 Hashing Functions
2.1.4 Comparative Performance
Space Optimality
2.1.5 Popularity
2.1 .6 Multiple-String Searches
2.2 Algorithms in Detail
2.2.1 Brute Force
2.2.2 Knuth-Morris-Pratt
2.2.3 Beyer-Moore
2.2.4 Boyer-Moore-Horspool
2.2.5 Sunday - Quick Search, Maximal Shift, and Optimal Mismatch
2.2.6 Hume and Sunday- Tuned Boyer-Moore and Least Cost
2.3 Further Reading
String Distance and Common Sequences
3.1 Overview
3.1.1 String Distance Measures
3.1.2 String Distance and Longest Common Subsequence
3.1.3 Comparative Performance
3.1.4 Related Problems
3.2 Algorithms in Detail
3.2.1 Wagner-Fischer
3.2.2 Hirschberg
3.2.3 Hunt-Szymanski
3.2.4 Masek-Paterson
3.2.5 Ukkonen
3.2.6 Heaviest Common Subsequence
3.3 Further Reading
Suffix Trees
4.1 Overview
4.1.1 Suffix Tries
4.1.2 From Suffix Trie to Suffix Tree
4.2 Algorithms in Detail
4.2. 1 Brute Force
4.2.2 McCreight
4.2.3 Ukkonen
4.3 Further Reading
Approximate String Matching
5.1 Overview
5.1 .1 String Matching with k Mismatches
5.1.2 String Matching with k Differences
5.1.3 String Matching with Don't-Cares
5.1.4 Application Areas
5.1.5 Dedicated Hardware and Parallel Algorithms
5.2 Algorithms in Detail
5.2.1 Landau-Vishkin k-mismatches
5.2.2 Shift-Add
5.2.3 Tarhio-Ukkonen k-mismatches
5.2.4 Baeza-Yates-Perleberg k-mismatches
5.2.5 Dynamic Programming k-differences
5.2.6 Landau-Vishkin k-differences
5.2. 7 Chang-Lawler k-differences
5.2.8 Chang-Lampe k-differences
5.2.9 Wu-Manber k-differences
5.3 Further Reading
Repeated Substrings
6.1 Overview
6.1 .1 Repetitions
6.1.2 Longest Repeated Substrings
6.2 Algorithms in Detail
6.2.1 Brute Force
6.2.2 Suffix Trees
Appendix
Asymptotic Notation
String Symbology
Glossary
Bibliography
Index
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