Search results for "Combinatorics"

showing 10 items of 1770 documents

Finite Satisfiability of the Two-Variable Guarded Fragment with Transitive Guards and Related Variants

2018

We consider extensions of the two-variable guarded fragment, GF2, where distinguished binary predicates that occur only in guards are required to be interpreted in a special way (as transitive relations, equivalence relations, pre-orders or partial orders). We prove that the only fragment that retains the finite (exponential) model property is GF2 with equivalence guards without equality. For remaining fragments we show that the size of a minimal finite model is at most doubly exponential. To obtain the result we invent a strategy of building finite models that are formed from a number of multidimensional grids placed over a cylindrical surface. The construction yields a 2NExpTime-upper bou…

FOS: Computer and information sciencesComputer Science - Logic in Computer ScienceTwo-variable logicGeneral Computer ScienceComputational complexity theoryLogicguarded fragmentBinary number0102 computer and information sciences01 natural sciencesUpper and lower boundsTheoretical Computer ScienceCombinatoricstransitive relationEquivalence relationfinite satisfiability problem0101 mathematicsEquivalence (formal languages)Integer programmingMathematicsDiscrete mathematicsTransitive relationNEXPTIMEcomputational complexity010102 general mathematicsLogic in Computer Science (cs.LO)Computational Mathematics010201 computation theory & mathematicsequivalence ralationACM Transactions on Computational Logic
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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
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Right-jumps and pattern avoiding permutations

2015

We study the iteration of the process "a particle jumps to the right" in permutations. We prove that the set of permutations obtained in this model after a given number of iterations from the identity is a class of pattern avoiding permutations. We characterize the elements of the basis of this class and we enumerate these "forbidden minimal patterns" by giving their bivariate exponential generating function: we achieve this via a catalytic variable, the number of left-to-right maxima. We show that this generating function is a D-finite function satisfying a nice differential equation of order~2. We give some congruence properties for the coefficients of this generating function, and we sho…

FOS: Computer and information sciencesD-finite function[ MATH.MATH-CV ] Mathematics [math]/Complex Variables [math.CV]Discrete Mathematics (cs.DM)General Computer Scienceinsertion sort[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM][ MATH.MATH-CO ] Mathematics [math]/Combinatorics [math.CO]left-to-right maximumPermutation patternTheoretical Computer Science[ MATH.MATH-NT ] Mathematics [math]/Number Theory [math.NT]Combinatorics[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]FOS: Mathematicsanalytic combinatoricsMathematics - CombinatoricsDiscrete Mathematics and CombinatoricsGolden ratioMathematicsProbability (math.PR)Generating function[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM][MATH.MATH-CV]Mathematics [math]/Complex Variables [math.CV]Function (mathematics)[MATH.MATH-NT]Mathematics [math]/Number Theory [math.NT]Exponential function[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]generating functionPermutation patternExponentAnalytic combinatoricssupercongruenceCombinatorics (math.CO)Maxima[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - ProbabilityComputer Science - Discrete Mathematics
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Properties of a Class of Toeplitz Words

2021

We study the properties of the uncountable set of Stewart words. These are Toeplitz words specified by infinite sequences of Toeplitz patterns of the form $\alpha\beta\gamma$, where $\alpha,\beta,\gamma$ is any permutation of the symbols 0,1,?. We determine the critical exponent of the Stewart words, prove that they avoid the pattern $xxyyxx$, find all factors that are palindromes, and determine their subword complexity. An interesting aspect of our work is that we use automata-theoretic methods and a decision procedure for automata to carry out the proofs.

FOS: Computer and information sciencesDecision procedureSubword complexityDiscrete Mathematics (cs.DM)Combinatorics on wordsSettore INF/01 - InformaticaGeneral Computer ScienceFormal Languages and Automata Theory (cs.FL)Computer Science - Formal Languages and Automata TheoryToeplitz wordTheoretical Computer ScienceComputer Science::Discrete MathematicsPattern avoidanceFOS: MathematicsAutomatic sequenceMathematics - CombinatoricsCombinatorics (math.CO)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Algorithms for Computing Abelian Periods of Words

2012

Constantinescu and Ilie (Bulletin EATCS 89, 167--170, 2006) introduced the notion of an \emph{Abelian period} of a word. A word of length $n$ over an alphabet of size $\sigma$ can have $\Theta(n^{2})$ distinct Abelian periods. The Brute-Force algorithm computes all the Abelian periods of a word in time $O(n^2 \times \sigma)$ using $O(n \times \sigma)$ space. We present an off-line algorithm based on a $\sel$ function having the same worst-case theoretical complexity as the Brute-Force one, but outperforming it in practice. We then present on-line algorithms that also enable to compute all the Abelian periods of all the prefixes of $w$.

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Abelian repetitionElementary abelian groupRank of an abelian groupCombinatoricsComputer Science - Data Structures and AlgorithmsFOS: MathematicsDiscrete Mathematics and CombinatoricsMathematics - CombinatoricsData Structures and Algorithms (cs.DS)Abelian groupOnline algorithmMathematicsArithmetic of abelian varietiesDiscrete mathematicsCombinatorics on wordsApplied MathematicsAbelian periodText algorithmWeak repetitionPrefixCombinatorics on wordsDesign of algorithmCombinatorics (math.CO)AlgorithmWord (computer architecture)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Upperbounds on the probability of finding marked connected components using quantum walks

2019

Quantum walk search may exhibit phenomena beyond the intuition from a conventional random walk theory. One of such examples is exceptional configuration phenomenon -- it appears that it may be much harder to find any of two or more marked vertices, that if only one of them is marked. In this paper, we analyze the probability of finding any of marked vertices in such scenarios and prove upper bounds for various sets of marked vertices. We apply the upper bounds to large collection of graphs and show that the quantum search may be slow even when taking real-world networks.

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)FOS: Physical sciences01 natural sciencesUpper and lower bounds010305 fluids & plasmasTheoretical Computer Science0103 physical sciencesFOS: MathematicsMathematics - CombinatoricsQuantum walkElectrical and Electronic Engineering010306 general physicsQuantum computerMathematicsDiscrete mathematicsConnected componentQuantum PhysicsStatistical and Nonlinear PhysicsRandom walkQuantum searchElectronic Optical and Magnetic MaterialsModeling and SimulationSignal ProcessingCombinatorics (math.CO)Quantum Physics (quant-ph)Stationary stateComputer Science - Discrete Mathematics
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Algorithms for Anti-Powers in Strings

2018

Abstract A string S [ 1 , n ] is a power (or tandem repeat) of order k and period n / k if it can be decomposed into k consecutive equal-length blocks of letters. Powers and periods are fundamental to string processing, and algorithms for their efficient computation have wide application and are heavily studied. Recently, Fici et al. (Proc. ICALP 2016) defined an anti-power of order k to be a string composed of k pairwise-distinct blocks of the same length ( n / k , called anti-period). Anti-powers are a natural converse to powers, and are objects of combinatorial interest in their own right. In this paper we initiate the algorithmic study of anti-powers. Given a string S, we describe an op…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)ComputationComputer Science - Formal Languages and Automata Theory0102 computer and information sciencesString processingInformation System01 natural sciencesUpper and lower boundsAnti-powersTheoretical Computer ScienceLemma (logic)ConverseComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)0101 mathematicsMathematicsCombinatorics on wordSignal processingCombinatorics on wordsComputer Science Applications1707 Computer Vision and Pattern RecognitionAnti-power16. Peace & justice113 Computer and information sciencesSubstringComputer Science Applications010101 applied mathematicsAlgorithmCombinatorics on words010201 computation theory & mathematicsSignal ProcessingAlgorithmAlgorithmsInformation SystemsComputer Science - Discrete Mathematics
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Normal, Abby Normal, Prefix Normal

2014

A prefix normal word is a binary word with the property that no substring has more 1s than the prefix of the same length. This class of words is important in the context of binary jumbled pattern matching. In this paper we present results about the number $pnw(n)$ of prefix normal words of length $n$, showing that $pnw(n) =\Omega\left(2^{n - c\sqrt{n\ln n}}\right)$ for some $c$ and $pnw(n) = O \left(\frac{2^n (\ln n)^2}{n}\right)$. We introduce efficient algorithms for testing the prefix normal property and a "mechanical algorithm" for computing prefix normal forms. We also include games which can be played with prefix normal words. In these games Alice wishes to stay normal but Bob wants t…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Computer Science - Data Structures and AlgorithmsFOS: MathematicsMathematics - CombinatoricsData Structures and Algorithms (cs.DS)Computer Science - Formal Languages and Automata TheoryCombinatorics (math.CO)Data_CODINGANDINFORMATIONTHEORYComputer Science - Discrete Mathematics
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Cyclic Complexity of Words

2014

We introduce and study a complexity function on words $c_x(n),$ called \emph{cyclic complexity}, which counts the number of conjugacy classes of factors of length $n$ of an infinite word $x.$ We extend the well-known Morse-Hedlund theorem to the setting of cyclic complexity by showing that a word is ultimately periodic if and only if it has bounded cyclic complexity. Unlike most complexity functions, cyclic complexity distinguishes between Sturmian words of different slopes. We prove that if $x$ is a Sturmian word and $y$ is a word having the same cyclic complexity of $x,$ then up to renaming letters, $x$ and $y$ have the same set of factors. In particular, $y$ is also Sturmian of slope equ…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Computer Science - Formal Languages and Automata Theory0102 computer and information sciences68R15Characterization (mathematics)[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]01 natural sciencesTheoretical Computer ScienceCombinatoricsConjugacy class[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL][MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsDiscrete Mathematics and CombinatoricsMathematics - Combinatorics0101 mathematics[MATH]Mathematics [math]Discrete Mathematics and CombinatoricMathematicsDiscrete mathematicsFactor complexity010102 general mathematicsSturmian wordSturmian wordComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Sturmian wordsCyclic complexity factor complexity Sturmian words minimal forbidden factorInfimum and supremumToeplitz matrixComputational Theory and Mathematics010201 computation theory & mathematicsCyclic complexityBounded functionComplexity functionCombinatorics (math.CO)Word (group theory)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Anti-powers in infinite words

2018

In combinatorics of words, a concatenation of $k$ consecutive equal blocks is called a power of order $k$. In this paper we take a different point of view and define an anti-power of order $k$ as a concatenation of $k$ consecutive pairwise distinct blocks of the same length. As a main result, we show that every infinite word contains powers of any order or anti-powers of any order. That is, the existence of powers or anti-powers is an unavoidable regularity. Indeed, we prove a stronger result, which relates the density of anti-powers to the existence of a factor that occurs with arbitrary exponent. As a consequence, we show that in every aperiodic uniformly recurrent word, anti-powers of ev…

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)ConcatenationComputer Science - Formal Languages and Automata Theory68R150102 computer and information sciences01 natural sciencesTheoretical Computer ScienceCombinatoricsUnavoidable regularityPosition (vector)Infinite wordAvoidability[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsMathematics - CombinatoricsDiscrete Mathematics and CombinatoricsOrder (group theory)Point (geometry)0101 mathematicsDiscrete Mathematics and CombinatoricMathematicsDiscrete mathematics000 Computer science knowledge general worksAnti-power010101 applied mathematicsComputational Theory and Mathematics010201 computation theory & mathematicsAperiodic graphComputer ScienceExponentPairwise comparisonCombinatorics (math.CO)SoftwareWord (group theory)Computer Science - Discrete Mathematics
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