Search results for "Suffix"

showing 10 items of 75 documents

Sturmian Graphs and a conjecture of Moser

2004

In this paper we define Sturmian graphs and we prove that all of them have a “counting” property. We show deep connections between this counting property and two conjectures, by Moser and by Zaremba, on the continued fraction expansion of real numbers. These graphs turn out to be the underlying graphs of CDAWGs of central Sturmian words. We show also that, analogously to the case of Sturmian words, these graphs converge to infinite ones.

Discrete mathematicsConjectureProperty (philosophy)Data structuresData structureCombinatoricsPhilosophy of languagecompressed suffixComputer Science::Discrete MathematicsContinued fractionComputer Science::Formal Languages and Automata TheoryAlgorithmsReal numberMathematics
researchProduct

On the longest common factor problem

2008

The Longest Common Factor (LCF) of a set of strings is a well studied problem having a wide range of applications in Bioinformatics: from microarrays to DNA sequences analysis. This problem has been solved by Hui (2000) who uses a famous constant-time solution to the Lowest Common Ancestor (LCA) problem in trees coupled with use of suffix trees. A data structure for the LCA problem, although linear in space and construction time, introduces a multiplicative constant in both space and time that reduces the range of applications in many biological applications. In this article we present a new method for solving the LCF problem using the suffix tree structure with an auxiliary array that take…

Discrete mathematicsSettore INF/01 - InformaticaSuffix tree[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Generalized suffix treeDAWGsuffix tree[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]Data structureLongest common substring problemlaw.inventionCombinatoricsSet (abstract data type)Range (mathematics)lawLongest Common Factor ProblemSuffixLowest common ancestorMathematics
researchProduct

On the Construction of Classes of Suffix Trees for Square Matrices: Algorithms and Applications

1996

AbstractWe provide a uniform framework for the study of index data structures for a two-dimensional matrixTEXT[1:n, 1:n] whose entries are drawn from an ordered alphabetΣ. An index forTEXTcan be informally seen as the two-dimensional analog of the suffix tree for a string. It allows on-line searches and statistics to be performed onTEXTby representing compactly theΘ(n3) square submatrices ofTEXTin optimalO(n2) space. We identify 4n−1families of indices forTEXT, each containing ∏ni=1(2i−1)! isomorphic data structures. We also develop techniques leading to a single algorithm that efficiently builds any index in any family inO(n2logn) time andO(n2) space. Such an algorithm improves in various …

Discrete mathematicsSuffix treeString (computer science)Generalized suffix treeBlock matrixData structureSquare matrixComputer Science ApplicationsTheoretical Computer Sciencelaw.inventionCombinatoricsComputational Theory and MathematicslawTree (set theory)SuffixInformation SystemsMathematics
researchProduct

Effects of reading proficiency and of base and whole-word frequency on reading noun- and verb-derived words: An eye-tracking study in Italian primary…

2018

The aim of this study is to assess the role of readers’ proficiency and of the base-word distributional properties on eye-movement behavior. Sixty-two typically developing children, attending 3rd, 4th, and 5th grade, were asked to read derived words in a sentence context. Target words were nouns derived from noun bases (e.g., umorista, ‘humorist’), which in Italian are shared by few derived words, and nouns derived from verb bases (e.g., punizione, ‘punishment’), which are shared by about 50 different inflected forms and several derived words. Data shows that base and word frequency affected first-fixation duration for nouns derived from noun bases, but in an opposite way: base frequency ha…

Eye movementnoun-derived nounslcsh:BF1-990VerbM-PSI/02 - PSICOBIOLOGIA E PSICOLOGIA FISIOLOGICA050105 experimental psychology03 medical and health sciences0302 clinical medicineMorphemeDerived wordReading proficiencyM-PSI/04 - PSICOLOGIA DELLO SVILUPPO E PSICOLOGIA DELL'EDUCAZIONENounReading acquisitionPsychology0501 psychology and cognitive sciencesderived wordsWord frequencyGeneral PsychologyWord morphologyOriginal Research05 social sciencesverb-derived nounseye-movementsFixation (psychology)Noun-derived noungrammatical categoryLinguisticsWord lists by frequencyeye movementslcsh:PsychologySettore M-PSI/04 - PSICOLOGIA DELLO SVILUPPO E PSICOLOGIA DELL'EDUCAZIONEVerb-derived nounreading acquisition word morphology eye-movements lexical processing sentence readingEye trackingSuffixPsychologyM-PSI/01 - PSICOLOGIA GENERALE030217 neurology & neurosurgerySentence
researchProduct

Inducing the Lyndon Array

2019

In this paper we propose a variant of the induced suffix sorting algorithm by Nong (TOIS, 2013) that computes simultaneously the Lyndon array and the suffix array of a text in $O(n)$ time using $\sigma + O(1)$ words of working space, where $n$ is the length of the text and $\sigma$ is the alphabet size. Our result improves the previous best space requirement for linear time computation of the Lyndon array. In fact, all the known linear algorithms for Lyndon array computation use suffix sorting as a preprocessing step and use $O(n)$ words of working space in addition to the Lyndon array and suffix array. Experimental results with real and synthetic datasets show that our algorithm is not onl…

FOS: Computer and information sciences050101 languages & linguisticsComputer scienceComputationInduced suffix sorting02 engineering and technologySpace (mathematics)law.inventionSuffix sortinglawSuffix arrayComputer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringData_FILESPreprocessorData Structures and Algorithms (cs.DS)0501 psychology and cognitive sciencesComputer Science::Data Structures and AlgorithmsTime complexitySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informatica05 social sciencesLightweight algorithmSuffix arraySigmaComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Induced suffix sorting; Lightweight algorithms; Lyndon array; Suffix arrayWorking spaceLyndon arrayLightweight algorithms020201 artificial intelligence & image processingAlgorithmComputer Science::Formal Languages and Automata Theory
researchProduct

Sorting suffixes of a text via its Lyndon Factorization

2013

The process of sorting the suffixes of a text plays a fundamental role in Text Algorithms. They are used for instance in the constructions of the Burrows-Wheeler transform and the suffix array, widely used in several fields of Computer Science. For this reason, several recent researches have been devoted to finding new strategies to obtain effective methods for such a sorting. In this paper we introduce a new methodology in which an important role is played by the Lyndon factorization, so that the local suffixes inside factors detected by this factorization keep their mutual order when extended to the suffixes of the whole word. This property suggests a versatile technique that easily can b…

FOS: Computer and information sciencesBWTLyndon FactorizationSettore INF/01 - InformaticaSorting Suffixes; Lyndon Factorization; Lyndon WordsSuffix arrayComputer Science - Data Structures and AlgorithmsData_FILESData Structures and Algorithms (cs.DS)Lyndon wordSorting suffixeSorting SuffixesLyndon Words
researchProduct

Adaptive learning of compressible strings

2020

Suppose an oracle knows a string $S$ that is unknown to us and that we want to determine. The oracle can answer queries of the form "Is $s$ a substring of $S$?". In 1995, Skiena and Sundaram showed that, in the worst case, any algorithm needs to ask the oracle $\sigma n/4 -O(n)$ queries in order to be able to reconstruct the hidden string, where $\sigma$ is the size of the alphabet of $S$ and $n$ its length, and gave an algorithm that spends $(\sigma-1)n+O(\sigma \sqrt{n})$ queries to reconstruct $S$. The main contribution of our paper is to improve the above upper-bound in the context where the string is compressible. We first present a universal algorithm that, given a (computable) compre…

FOS: Computer and information sciencesCentroid decompositionGeneral Computer ScienceString compressionAdaptive learningKolmogorov complexityContext (language use)Data_CODINGANDINFORMATIONTHEORYString reconstructionTheoretical Computer ScienceCombinatoricsString reconstruction; String learning; Adaptive learning; Kolmogorov complexity; String compression; Lempel-Ziv; Centroid decomposition; Suffix treeSuffix treeIntegerComputer Science - Data Structures and AlgorithmsOrder (group theory)Data Structures and Algorithms (cs.DS)Adaptive learning; Centroid decomposition; Kolmogorov complexity; Lempel-Ziv; String compression; String learning; String reconstruction; Suffix treeTime complexityComputer Science::DatabasesMathematicsLempel-ZivSettore INF/01 - InformaticaLinear spaceString (computer science)SubstringBounded functionString learningTheoretical Computer Science
researchProduct

Uncommon Suffix Tries

2011

Common assumptions on the source producing the words inserted in a suffix trie with $n$ leaves lead to a $\log n$ height and saturation level. We provide an example of a suffix trie whose height increases faster than a power of $n$ and another one whose saturation level is negligible with respect to $\log n$. Both are built from VLMC (Variable Length Markov Chain) probabilistic sources; they are easily extended to families of sources having the same properties. The first example corresponds to a ''logarithmic infinite comb'' and enjoys a non uniform polynomial mixing. The second one corresponds to a ''factorial infinite comb'' for which mixing is uniform and exponential.

FOS: Computer and information sciencesCompressed suffix arrayPolynomialLogarithmGeneral MathematicsSuffix treevariable length Markov chain[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Generalized suffix treeprobabilistic source0102 computer and information sciences02 engineering and technologysuffix trie01 natural scienceslaw.inventionCombinatoricslawComputer Science - Data Structures and AlgorithmsTrieFOS: Mathematics0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)Mixing (physics)[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]MathematicsDiscrete mathematicsApplied MathematicsProbability (math.PR)020206 networking & telecommunicationssuffix trie.Computer Graphics and Computer-Aided Design[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]010201 computation theory & mathematicsmixing properties60J05 37E05Suffix[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - ProbabilitySoftware
researchProduct

Lightweight LCP construction for very large collections of strings

2016

The longest common prefix array is a very advantageous data structure that, combined with the suffix array and the Burrows-Wheeler transform, allows to efficiently compute some combinatorial properties of a string useful in several applications, especially in biological contexts. Nowadays, the input data for many problems are big collections of strings, for instance the data coming from "next-generation" DNA sequencing (NGS) technologies. In this paper we present the first lightweight algorithm (called extLCP) for the simultaneous computation of the longest common prefix array and the Burrows-Wheeler transform of a very large collection of strings having any length. The computation is reali…

FOS: Computer and information sciencesComputer scienceComputation0102 computer and information sciences02 engineering and technologyParallel computing01 natural sciencesGeneralized Suffix ArrayTheoretical Computer Sciencelaw.inventionlawComputational Theory and MathematicComputer Science - Data Structures and AlgorithmsExtended Burrows-Wheeler TransformData_FILES0202 electrical engineering electronic engineering information engineeringDiscrete Mathematics and CombinatoricsData Structures and Algorithms (cs.DS)Discrete Mathematics and CombinatoricAuxiliary memoryLongest Common Prefix Array; Extended Burrows-Wheeler Transform; Generalized Suffix Array;String (computer science)LCP arraySuffix arrayData structureComputational Theory and Mathematics010201 computation theory & mathematicsLongest Common Prefix Array020201 artificial intelligence & image processingJournal of Discrete Algorithms
researchProduct

The sequence of open and closed prefixes of a Sturmian word

2017

A finite word is closed if it contains a factor that occurs both as a prefix and as a suffix but does not have internal occurrences, otherwise it is open. We are interested in the {\it oc-sequence} of a word, which is the binary sequence whose $n$-th element is $0$ if the prefix of length $n$ of the word is open, or $1$ if it is closed. We exhibit results showing that this sequence is deeply related to the combinatorial and periodic structure of a word. In the case of Sturmian words, we show that these are uniquely determined (up to renaming letters) by their oc-sequence. Moreover, we prove that the class of finite Sturmian words is a maximal element with this property in the class of binar…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Sturmian word closed wordComputer Science - Formal Languages and Automata Theory0102 computer and information sciences68R1501 natural sciencesPseudorandom binary sequenceCombinatorics[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsMathematics - Combinatorics0101 mathematicsMathematicsSequenceClosed wordSettore INF/01 - InformaticaApplied Mathematics010102 general mathematicsSturmian wordSturmian wordPrefix010201 computation theory & mathematicsCombinatorics (math.CO)SuffixElement (category theory)Word (computer architecture)Maximal elementComputer Science - Discrete Mathematics
researchProduct