Search results for "formal languages"

showing 10 items of 322 documents

ALGORITHMS FOR JUMBLED PATTERN MATCHING IN STRINGS

2011

The Parikh vector p(s) of a string s is defined as the vector of multiplicities of the characters. Parikh vector q occurs in s if s has a substring t with p(t)=q. We present two novel algorithms for searching for a query q in a text s. One solves the decision problem over a binary text in constant time, using a linear size index of the text. The second algorithm, for a general finite alphabet, finds all occurrences of a given Parikh vector q and has sub-linear expected time complexity; we present two variants, which both use a linear size index of the text.

FOS: Computer and information sciencesJ.3average case analysis.Binary numberaverage case analysispermuted stringpermuted stringsComputer Science - Data Structures and AlgorithmsComputer Science (miscellaneous)Parikh vectorData Structures and Algorithms (cs.DS)Pattern matchingTime complexityMathematicsString (computer science)Parikh vectorsstring algorithmDecision problemstring algorithmsSubstringParikh vectors; permuted strings; pattern matching; string algorithms; average case analysisF.2.2; J.3Index (publishing)pattern matchingF.2.2Constant (mathematics)AlgorithmComputer Science::Formal Languages and Automata Theory
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The Inconsistent Labelling Problem of Stutter-Preserving Partial-Order Reduction

2020

AbstractIn model checking, partial-order reduction (POR) is an effective technique to reduce the size of the state space. Stubborn sets are an established variant of POR and have seen many applications over the past 31 years. One of the early works on stubborn sets shows that a combination of several conditions on the reduction is sufficient to preserve stutter-trace equivalence, making stubborn sets suitable for model checking of linear-time properties. In this paper, we identify a flaw in the reasoning and show with a counter-example that stutter-trace equivalence is not necessarily preserved. We propose a solution together with an updated correctness proof. Furthermore, we analyse in whi…

FOS: Computer and information sciencesModel checkingComputer Science - Logic in Computer ScienceTheoretical computer sciencepartial-order reductionComputer scienceautomaattien teoria020207 software engineering02 engineering and technologymodel checkingArticleLogic in Computer Science (cs.LO)Partial order reductionstubborn sets0202 electrical engineering electronic engineering information engineeringState space020201 artificial intelligence & image processingEquivalence (formal languages)Equivalence (measure theory)tietojenkäsittely
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Pattern statistics in faro words and permutations

2021

We study the distribution and the popularity of some patterns in $k$-ary faro words, i.e. words over the alphabet $\{1, 2, \ldots, k\}$ obtained by interlacing the letters of two nondecreasing words of lengths differing by at most one. We present a bijection between these words and dispersed Dyck paths (i.e. Motzkin paths with all level steps on the $x$-axis) with a given number of peaks. We show how the bijection maps statistics of consecutive patterns of faro words into linear combinations of other pattern statistics on paths. Then, we deduce enumerative results by providing multivariate generating functions for the distribution and the popularity of patterns of length at most three. Fina…

FOS: Computer and information sciencesMultivariate statisticsDistribution (number theory)Discrete Mathematics (cs.DM)Interlacing0102 computer and information sciences02 engineering and technology[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]01 natural sciencesTheoretical Computer ScienceCombinatoricsStatistics[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]05A05 (Primary) 05A15 05A19 68R15 (Secondary)0202 electrical engineering electronic engineering information engineeringFOS: MathematicsDiscrete Mathematics and CombinatoricsMathematics - CombinatoricsLinear combinationMathematicsDiscrete mathematicsMathematics::Combinatorics020206 networking & telecommunicationsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Derangement010201 computation theory & mathematicsBijectionCombinatorics (math.CO)AlphabetComputer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Classical automata on promise problems

2015

Promise problems were mainly studied in quantum automata theory. Here we focus on state complexity of classical automata for promise problems. First, it was known that there is a family of unary promise problems solvable by quantum automata by using a single qubit, but the number of states required by corresponding one-way deterministic automata cannot be bounded by a constant. For this family, we show that even two-way nondeterminism does not help to save a single state. By comparing this with the corresponding state complexity of alternating machines, we then get a tight exponential gap between two-way nondeterministic and one-way alternating automata solving unary promise problems. Secon…

FOS: Computer and information sciencesNested wordTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESUnary operationGeneral Computer ScienceFormal Languages and Automata Theory (cs.FL)nondeterministic automataComputer Science - Formal Languages and Automata Theoryω-automatonComputational Complexity (cs.CC)Theoretical Computer ScienceContinuous spatial automatonQuantum finite automataDiscrete Mathematics and Combinatoricsalternating automatapromise problemsMathematicsprobabilistic automataNonlinear Sciences::Cellular Automata and Lattice GasesMobile automatonNondeterministic algorithmAlgebra[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]Computer Science - Computational ComplexityTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESAutomata theorydescriptional complexityComputer Science::Formal Languages and Automata Theory
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On prefix normal words and prefix normal forms

2016

A $1$-prefix normal word is a binary word with the property that no factor has more $1$s than the prefix of the same length; a $0$-prefix normal word is defined analogously. These words arise in the context of indexed binary jumbled pattern matching, where the aim is to decide whether a word has a factor with a given number of $1$s and $0$s (a given Parikh vector). Each binary word has an associated set of Parikh vectors of the factors of the word. Using prefix normal words, we provide a characterization of the equivalence class of binary words having the same set of Parikh vectors of their factors. We prove that the language of prefix normal words is not context-free and is strictly contai…

FOS: Computer and information sciencesPrefix codePrefix normal wordPre-necklaceDiscrete Mathematics (cs.DM)General Computer ScienceFormal Languages and Automata Theory (cs.FL)Binary numberComputer Science - Formal Languages and Automata TheoryContext (language use)Binary languageLyndon words0102 computer and information sciences02 engineering and technologyPrefix grammarprefix normal formsKraft's inequalityCharacterization (mathematics)Lyndon word01 natural sciencesPrefix normal formenumerationTheoretical Computer ScienceFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - CombinatoricsMathematicsDiscrete mathematicsprefix normal words prefix normal forms binary languages binary jumbled pattern matching pre-necklaces Lyndon words enumerationbinary jumbled pattern matchingSettore INF/01 - InformaticaComputer Science (all)pre-necklacesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)prefix normal wordsPrefix010201 computation theory & mathematics020201 artificial intelligence & image processingCombinatorics (math.CO)binary languagesComputer Science::Formal Languages and Automata TheoryWord (group theory)Computer Science - Discrete MathematicsTheoretical Computer Science
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Primitive sets of words

2020

Given a (finite or infinite) subset $X$ of the free monoid $A^*$ over a finite alphabet $A$, the rank of $X$ is the minimal cardinality of a set $F$ such that $X \subseteq F^*$. We say that a submonoid $M$ generated by $k$ elements of $A^*$ is {\em $k$-maximal} if there does not exist another submonoid generated by at most $k$ words containing $M$. We call a set $X \subseteq A^*$ {\em primitive} if it is the basis of a $|X|$-maximal submonoid. This definition encompasses the notion of primitive word -- in fact, $\{w\}$ is a primitive set if and only if $w$ is a primitive word. By definition, for any set $X$, there exists a primitive set $Y$ such that $X \subseteq Y^*$. We therefore call $Y$…

FOS: Computer and information sciencesPrimitive setDiscrete Mathematics (cs.DM)General Computer ScienceFormal Languages and Automata Theory (cs.FL)Pseudo-repetitionComputer Science - Formal Languages and Automata Theory0102 computer and information sciences02 engineering and technology01 natural sciencesTheoretical Computer ScienceCombinatoricsCardinalityFree monoidBi-rootFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - CombinatoricsRank (graph theory)Primitive root modulo nMathematicsHidden repetitionSettore INF/01 - InformaticaIntersection (set theory)k-maximal monoidFunction (mathematics)Basis (universal algebra)010201 computation theory & mathematics020201 artificial intelligence & image processingCombinatorics (math.CO)Computer Science::Formal Languages and Automata TheoryWord (group theory)Computer Science - Discrete Mathematics
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Quantum Pushdown Automata

2001

Quantum finite automata, as well as quantum pushdown automata (QPA) were first introduced by C. Moore and J. P. Crutchfield. In this paper we introduce the notion of QPA in a non-equivalent way, including unitarity criteria, by using the definition of quantum finite automata of Kondacs and Watrous. It is established that the unitarity criteria of QPA are not equivalent to the corresponding unitarity criteria of quantum Turing machines. We show that QPA can recognize every regular language. Finally we present some simple languages recognized by QPA, not recognizable by deterministic pushdown automata.

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Quantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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Implications of quantum automata for contextuality

2014

We construct zero-error quantum finite automata (QFAs) for promise problems which cannot be solved by bounded-error probabilistic finite automata (PFAs). Here is a summary of our results: - There is a promise problem solvable by an exact two-way QFA in exponential expected time, but not by any bounded-error sublogarithmic space probabilistic Turing machine (PTM). - There is a promise problem solvable by an exact two-way QFA in quadratic expected time, but not by any bounded-error $ o(\log \log n) $-space PTMs in polynomial expected time. The same problem can be solvable by a one-way Las Vegas (or exact two-way) QFA with quantum head in linear (expected) time. - There is a promise problem so…

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Quantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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Quantum finite multitape automata

1999

Quantum finite automata were introduced by C.Moore, J.P. Crutchfield, and by A.Kondacs and J.Watrous. This notion is not a generalization of the deterministic finite automata. Moreover, it was proved that not all regular languages can be recognized by quantum finite automata. A.Ambainis and R.Freivalds proved that for some languages quantum finite automata may be exponentially more concise rather than both deterministic and probabilistic finite automata. In this paper we introduce the notion of quantum finite multitape automata and prove that there is a language recognized by a quantum finite automaton but not by a deterministic or probabilistic finite automata. This is the first result on …

FOS: Computer and information sciencesQuantum PhysicsComputer Science - Computational ComplexityTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Quantum Physics (quant-ph)Nonlinear Sciences::Cellular Automata and Lattice GasesComputer Science::Formal Languages and Automata Theory
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The minimal probabilistic and quantum finite automata recognizing uncountably many languages with fixed cutpoints

2019

Discrete Mathematics & Theoretical Computer Science ; vol. 22 no. 1 ; Automata, Logic and Semantics ; 1365-8050

FOS: Computer and information sciencesQuantum PhysicsFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Nonlinear Sciences::Cellular Automata and Lattice GasesComputer Science - Computational ComplexityMathematics::LogicTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputer Science::Discrete MathematicsComputer Science::Logic in Computer ScienceComputingMilieux_COMPUTERSANDSOCIETYMathematics::Metric GeometryQuantum Physics (quant-ph)Computer Science::Formal Languages and Automata Theory
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