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	Information Retrieval: CHAPTER 10: STRING SEARCHING ALGORITHMS
		String searching is an important component of many problems, including text editing, data retrieval, and symbol manipulation.
		The string searching or string matching problem consists of finding all occurrences (or the first occurrence) of a pattern in a text, where the pattern and the text are strings over some alphabet.
		The classic Knuth, Morris, and Pratt (1977) algorithm, discovered in 1970, is the first algorithm for which the constant factor in the linear term, in the worst case, does not depend on the length of the pattern.
	www.pimpumpam.com /motoridiricerca/ir/chap10.htm (5538 words)

	String searching algorithm Summary
		Algorithms to do this are commonly based on a very fast string-matching kernel which is able to search short patterns using a nondeterministic finite automaton.
		String searching algorithms, sometimes called string matching algorithms, are an important class of string algorithms that try to find a place where one or several strings (also called patterns) are found within a larger string or text.
		Some search methods, for instance trigram search, are intended to find a "closeness" score between the search string and the text rather than a "match/non-match".
	www.bookrags.com /String_searching_algorithm (1083 words)

	NationMaster - Encyclopedia: Fuzzy string searching
		The bitap algorithm is one fuzzy string searching algorithm that is efficient for relatively short pattern strings.
		String searching algorithms are an important class of string algorithms that try to find a place where one or several strings (also called patterns) are found within a larger string or text.
		String searching algorithms, sometimes called string matching algorithms, are an important class of string algorithms that try to find a place where one or several strings (also called patterns) are found within a larger string or text.
	www.nationmaster.com /encyclopedia/Fuzzy-string-searching (492 words)

	Efficient text searching in Java: Finding the right string in any language
		Algorithms such as Knuth-Morris-Pratt and Boyer-Moore utilize tables that tell them what to do when a particular character is seen in the text being searched.
		First, it uses an inefficient algorithm that can, at worst, compare every character of the pattern against every character of the target, requiring a number of comparisons that is proportional to the size of the text being searched multiplied by the size of the pattern.
		String searching is a well-researched area, and there are algorithms that can do considerably better.
	www-106.ibm.com /developerworks/java/library/j-text-searching.html (3709 words)

	Dictionary of Algorithms and Data Structures
		This is a dictionary of algorithms, algorithmic techniques, data structures, archetypal problems, and related definitions.
		Algorithms include common functions, such as Ackermann's function.
		Data Structures and Algorithms is a wonderful site with illustrations, explanations, analysis, and code taking the student from arrays and lists through trees, graphs, and intractable problems.
	www.nist.gov /dads (686 words)

	Dr. Dobb's \| Fast String Searching \| April 15, 2003
		String searching, or finding occurrences of a particular pattern of characters in a block of text, is a common task and a component of many applications, including text editing and document indexing.
		In the string searching problem, we have a pattern of length m characters and we want to find all occurrences of it in a block of text of length n characters.
		A potentially better algorithm would be to locate the next occurrence of the first character of the pattern in the text block and only resort to character-by-character matching from that point.
	www.ddj.com /184403045?pgno=8 (1706 words)

	StringAlgorithms - PineWiki
		These are some quick notes on algorithms for searching strings for particular substrings, patterns, repetitions, etc., and related topics like data compression.
		Algorithms for finding long repeated substrings or patterns can be useful for data compression (see Data_compression) or detecting plagiarism.
		There are many exciting algorithms for searching an n-character string for an m-character substring, ranging from simple brute-force place-by-place comparison (O(nm) time; see LevitinBook Section 3.2) to more sophisticated linear-time algorithms like Boyer-Moore (LevitinBook Section 7.2).
	pine.cs.yale.edu /pinewiki/StringAlgorithms (2109 words)

	The Making of Stringz
		String searching (otherwise known as pattern matching) is a very important subject in the arena of text processing.
		String searching algorithms are basic components used in implementations of practical software existing under most operating systems today.
		We also recognised the essentiality of having overall improvements by better searching algorithms for search applications and algorithms to be designed, integrated, and managed in concert with each other.
	www.geocities.com /stringmatchingresearch (140 words)

	The General Problem
		Note that string searching algorithms can, in general, be extended to find all of the occurrence of P in T instead of only the first, but for the sake of simplicity we will initially only consider the problem of finding the first occurrence.
		The pattern is the string that we are searching for.
		In the previous example, the text is ``string searching'', the pattern is ``ring'', and the shift of the occurrence is 2.
	www.eecs.harvard.edu /~ellard/Q-97/HTML/root/node42.html (486 words)

	String searching algorithm - Definition, explanation
		The various algorithms can be classified by the number of patterns each uses.
		KMP computes a deterministic finite state automaton that recognizes inputs with the string to search for as a suffix, so it doesn't need to back up.
		Baeza-Yates and Gonnet uses bits in a word to keep track of whether the previous N characters were a prefix of the search string, and is therefore adaptable to fuzzy string searching etc.
	www.calsky.com /lexikon/en/txt/s/st/string_searching_algorithm.php (337 words)

	Algoritmteori, Dataveteskap
		The construction and analysis of algorithms and data structures is a basic and very important part of modern computer science.
		Efficient approximation algorithms for Euclidean network problems including minimum-cost multi-connectivity, fault tolerant spanners and ``traveling salesperson''--type problems (also in the kinetic setting where the input objects move with different velocities in different directions).
		Computational geometry, parallel and distributed graph algorithms, and computational biology belong to the new frontier of computer science inspired by the rapid development of graphics, robotics, VLSI and parallel computing in recent years.
	www.cs.lth.se /Research/Algorithms/Algorithms.shtml (306 words)

	Dick Grune's Annotated Literature Lists
		One keyword pat[1..n] is searched for in a text string string by comparing the characters in pat with those in string by starting from the right end of pat and working backwards.
		First, the algorithm is derived in a fairly circuitous way, using 4 considerations, of which 1 and 2 are actually the same (required presence of char in pat) and so are 3a and 3b (required presence of P in pat).
		The history of the KMP algorithm is given, including the story of Morris' 1967 implementation of his algorithm in a text editor being removed by a successor programmer who did not understand it.
	www.cs.vu.nl /~dick/Summaries/CS/StringSearch.html (3079 words)

	Unicode Text Searching in Java
		Algorithms such as Knuth-Morris-Pratt and Boyer-Moore utilize tables that tell them what to do when a particular character is seen in the text being searched.
		First, it uses an inefficient algorithm that can, at worst, compare every character of the pattern against every character of the target, requiring a number of comparisons that is proportional to the size of the text being searched multiplied by the size of the pattern.
		String searching is a well-researched area, and there are algorithms that can do considerably better.
	www.icu-project.org /docs/papers/efficient_text_searching_in_java.html (3771 words)

	Data Structures and Algorithms II
		If the search string is very large, then it is likely that a given character WILL appear in it, but we still get a good improvement compared with the other algorithms (approx N2/alphabet_size if characters are randomly distributed in a string*).
		The algorithm outlined works reasonably efficiently: with a small modification to avoid the possibility of having redundant repeats of the same state, we have a worst case on [tex2html_wrap_inline1280] where M is the number of states and N the length of the string.
		For example, search algorithms can be used find a possible winning move in a game; shortest path algorithms can be used to find the shortest route between two cities; ordering algorithms can be used to find a possible sequence of courses to take, given prerequisite relationships between them.
	rtm-cs.sinp.msu.ru /~fedor/programming/ds_and_algorithms/ds.html (15355 words)

	Pattern Matching
		String searching algorithms are an important class of string algorithms that try to find a place where one or several strings (also called patterns) are found within a larger string or text.
		Algorithms for String Searching On A Beowulf Cluster
		Rabin-Karp string search algorithm Rabin-Karp algorithm is a string searching algorithm that seeks a pattern, i.e.
	www.softpanorama.org /Algorithms/pattern_matching.shtml (5734 words)

	Citations: String searching algorithms - Stephen (ResearchIndex) (Site not responding. Last check: )
		The algorithm retrieves matches differing by an edit distance of at most k, where edit distance denotes the minimum number of operations needed to transform one string into another, permitting insertion, deletion and substitution of symbols.
		A key principle in this field is the concept of string edit distance, a measure for quantifying the similarity between two strings as well as for understanding the precise ways in which related strings may differ.
		Since the type of string element in stroke sequence strings is angular, usual edit distances [25] with cost matrix are inadequate for this type of strings.
	citeseer.ist.psu.edu /context/262135/0 (2070 words)

	HAKMEM -- PROGRAMMING ALGORITHMS, HEURISTICS -- DRAFT, NOT YET PROOFED
		The "banana phenomenon" was encountered when processing a character string by taking the last 3 letters typed out, searching for a random occurrence of that sequence in the text, taking the letter following that occurrence, typing it out, and iterating.
		A program which searches a character string for a given substring can always be written by iterating the sequence fetch-compare-transfer (ILDB-CAIE-JRST on the PDP6/10) once for each character in the sought string.
		To generalize this method to search for N strings at once, we produce a program of ILDB-CAIE-JRST's for each of the sought strings, omitting the initial ILDB from all but the first.
	www.inwap.com /pdp10/hbaker/hakmem/algorithms.html (1193 words)

	Simon Tatham's Algorithms Page
		In addition to actual algorithms, I've also got a couple of unsolved problems, in the hope that people might send me ideas on how to solve them.
		A method of searching one string for another, inspired by the Burrows-Wheeler transform.
		Unlike most searching algorithms, which are optimised to search for one needle in a large amount of haystack text, this algorithm is optimised to take one fixed haystack and search it very fast for lots of different needles.
	www.chiark.greenend.org.uk /~sgtatham/algorithms (488 words)

	String Searching Algorithms (Site not responding. Last check: )
		For example, S could be the string 'abracadabra' and P the string 'cad'.
		If (1) then we slide the pattern along one character and start the search again at the beginning of the pattern.
		A better string searching algorithm is the Knuth-Morris-PRATT Algorithm (KMP)
	www.btinternet.com /~mike.yeo/project/string_search/Naive (206 words)

	The Old New Thing : The cost of trying too hard: String searching
		More advanced string searching algorithms can take advantage of characteristics of the target string, but in the general case, where the target string is of moderate size and is not pathological, all that the fancy search algorithms give you over the naive search algorithm is a somewhat smaller multiplicative constant.
		When WUA searches for updates, it actually uses a highly optimized protocol that only picks up new and changed updates, prunes out entire branches of updates based on OS and other applicability rules, omits languages that are not installed on the local machine, and then caches the results in a client-side database.
		In the vast majority of real-world cases, the time taken to blaze through the search string looking for all the occurences of the first letter in the target string is _far_ less than the time it takes to scan the string, build the index, blah blah blah.
	blogs.msdn.com /oldnewthing/archive/2006/01/19/514834.aspx (2316 words)

	A Library of Parallel Algorithms
		The algorithms are implemented in the parallel programming language NESL and developed by the Scandal project.
		Here we consider two algorithms that both require O(n) work, although for the first this is expected case and for the second it is with high probability.
		Spanning-tree algorithms are similar to those for connected-components, except that spanning-tree algorithms need to keep track of which edges are used for contraction and they do not need to expand the graph back out.
	www-2.cs.cmu.edu /~scandal/nesl/algorithms.html (497 words)

	STRING SEARCHING ALGORITHMS
		String searching is a subject of both theoretical and practical interest in computer science.
		The aim is twofold: on the one hand, to provide an easy-to-read comparison of the available techniques in each area, and on the other, to furnish the reader with a reference to in-depth descriptions of the major algorithms.
		For clarity, all the algorithms are presented in a uniform format and notation.
	www.worldscibooks.com /compsci/2418.html (152 words)

	Fast String Searching With Suffix Trees
		Knowing how the construction algorithm works, you can see that if you find a certain character as a descendant of a particular suffix, you are bound to also find it as a descendant of every smaller suffix.
		So if a particular string contains characters 0 through N of the input text, the suffix pointer for that string will point to the node that is the termination point for the string starting at the root that represents characters 1 through N of the input text.
		If a book is dedicated to string searching, it seems a bit redundant to say that string searching occupies at least one chapter.
	marknelson.us /1996/08/01/suffix-trees (5748 words)

	Algorithms and Data Structures in F and Fortran
		Various search algorithms are studied: linear, binary, hash, binary search tree.
		Algorithms for solving linear equations including tri-diagonal and banded systems (Gauss, Gauss-Siedel), matrix inversion, and roots of polynomials, are covered in detail.
		Graphics algorithms for creating fractals and space-filling curves, for creating picture files (PCX and TIFF files), for reading a PCX file, and data compression and expansion, are provided.
	www.users.bigpond.com /robin_v/f-cont.htm (458 words)

	String searching algorithms - lecture notes series on computing
		This delightful book provides succinct and complete coverage of the important algorithms for string matching and approximate string matching...
		In most cases, the writing is extremely clear so that it can be understood in a single relaxed reading...
		In my opinion, researchers can read the book as a monograph on a sample of problems in text algorithmics, and students can use it to learn several basic important algorithms in the field.
	homepages.tesco.net /~gas/ssa (105 words)

	Computer Programming Algorithms Directory
		Fibonaccian search - Describes an O(log n) search algorithm for sorted arrays that is faster than a binary search for very large arrays.
		AI Horizon - Has a variety of algorithms, from basic computer science data structures such as 2-3 trees to AI-related algorithms such as minimax and a discussion of machine learning algorithms.
		Global Optimization Algorithms - Theory and Application - This is a free ebook (600+ page.PDF file) that focuses on evolutionary computation by discussing evolutionary algorithms, genetic algorithms, genetic programming, learning classifier systems, evolution strategy, differential evolution, particle swarm optimization, and ant colony optimization.
	www.algosort.com (1159 words)

	1. WADS 1989: Ottawa, Canada
		Frank K. Dehne, Jörg-Rüdiger Sack, Nicola Santoro (Eds.): Algorithms and Data Structures, Workshop WADS '89, Ottawa, Canada, August 17-19, 1989, Proceedings.
		Pandu Rangan: Linear Algorithms for Parity Path and Two Path Problems on Circular-Arc Graph.
		Oscar H. Ibarra, Michael A. Palis: An Efficient All-Parses Systolic Algorithm for General Context-Free Parsing.
	www.informatik.uni-trier.de /~ley/db/conf/wads/wads89.html (684 words)

	Text Searching and Processing
		This is a part of the course "Text Searching and Processing" of the Master in Advanced Computing delivered by the Department of Computer Science of King's College London.
		It contains on-line searching algorithms based on automata and borders of strings (Knuth, Morris, and Pratt algorithm, and variants), and practically-efficient algorithms based on combinatorial properties of strings (Boyer and Moore algorithm, and variants).
		An algorithm to build suffix trees is given in full detail, other algorithms are just sketched.
	www-igm.univ-mlv.fr /~mac/ENS/TSP.html (616 words)

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