Search results for " Formal languages"

showing 10 items of 79 documents

Zero-Error Affine, Unitary, and Probabilistic OBDDs

2017

We introduce the affine OBDD model and show that zero-error affine OBDDs can be exponentially narrower than bounded-error unitary and probabilistic OBDDs on certain problems. Moreover, we show that Las Vegas unitary and probabilistic OBDDs can be quadratically narrower than deterministic OBDDs. We also obtain the same results by considering the automata versions of these models.

FOS: Computer and information sciencesComputer Science - Computational ComplexityQuantum PhysicsFormal Languages and Automata Theory (cs.FL)Computer Science::Logic in Computer ScienceFOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Computer Science::Computational ComplexityComputer Science::Artificial IntelligenceQuantum Physics (quant-ph)Computer Science::Databases
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Languages associated with saturated formations of groups

2013

International audience; In a previous paper, the authors have shown that Eilenberg's variety theorem can be extended to more general structures, called formations. In this paper, we give a general method to describe the languages corresponding to saturated formations of groups, which are widely studied in group theory. We recover in this way a number of known results about the languages corresponding to the classes of nilpotent groups, soluble groups and supersoluble groups. Our method also applies to new examples, like the class of groups having a Sylow tower.; Dans un article précédent, les auteurs avaient montré comment étendre le théorème des variétés d'Eilenberg à des structures plus g…

Group formationGeneral MathematicsFinite monoid[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]0102 computer and information sciences01 natural sciencesregular languageRegular languageÁlgebra0101 mathematicsValenciaMathematicsFinite groupbiologyApplied Mathematics010102 general mathematicsACM: F.: Theory of Computation/F.4: MATHEMATICAL LOGIC AND FORMAL LANGUAGES/F.4.3: Formal LanguagesRegular languagebiology.organism_classificationAlgebra010201 computation theory & mathematicsMSC 68Q70 20D10 20F17 20M25finite groupsaturated formationformationsFinite automata
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Alternating, private alternating, and quantum alternating realtime automata

2014

We present new results on realtime alternating, private alternating, and quantum alternating automaton models. Firstly, we show that the emptiness problem for alternating one-counter automata on unary alphabets is undecidable. Then, we present two equivalent definitions of realtime private alternating finite automata (PAFAs). We show that the emptiness problem is undecidable for PAFAs. Furthermore, PAFAs can recognize some nonregular unary languages, including the unary squares language, which seems to be difficult even for some classical counter automata with two-way input. Regarding quantum finite automata (QFAs), we show that the emptiness problem is undecidable both for universal QFAs o…

FOS: Computer and information sciencesComputer Science - Computational ComplexityComputer Science - Logic in Computer ScienceQuantum PhysicsFormal Languages and Automata Theory (cs.FL)Computer Science::Logic in Computer ScienceFOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputer Science::Computational ComplexityComputational Complexity (cs.CC)Quantum Physics (quant-ph)Computer Science::Formal Languages and Automata TheoryLogic in Computer Science (cs.LO)
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A trie-based approach for compacting automata

2004

International audience; We describe a new technique for reducing the number of nodes and symbols in automata based on tries. The technique stems from some results on anti-dictionaries for data compression and does not need to retain the input string, differently from other methods based on compact automata. The net effect is that of obtaining a lighter automaton than the directed acyclic word graph (DAWG) of Blumer et al., as it uses less nodes, still with arcs labeled by single characters.

automataComputer scienceSuffix tree[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]suffix tree0102 computer and information sciences02 engineering and technologyω-automaton01 natural sciencesindex text compressionlaw.inventionlawfactor and suffixTrie0202 electrical engineering electronic engineering information engineeringAutomata and formal languagesPattern matchingDirected acyclic word graphString (computer science)Directed graphDirected acyclic graphMobile automatonAutomaton010201 computation theory & mathematics020201 artificial intelligence & image processingAlgorithmComputer Science::Formal Languages and Automata Theory
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Quantum versus Classical Online Streaming Algorithms with Logarithmic Size of Memory

2023

We consider online algorithms with respect to the competitive ratio. Here, we investigate quantum and classical one-way automata with non-constant size of memory (streaming algorithms) as a model for online algorithms. We construct problems that can be solved by quantum online streaming algorithms better than by classical ones in a case of logarithmic or sublogarithmic size of memory.

FOS: Computer and information sciencesComputer Science - Computational ComplexityQuantum PhysicsFormal Languages and Automata Theory (cs.FL)General MathematicsComputer Science - Data Structures and AlgorithmsFOS: Physical sciencesData Structures and Algorithms (cs.DS)Computer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Quantum Physics (quant-ph)
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Novel Results on the Number of Runs of the Burrows-Wheeler-Transform

2021

The Burrows-Wheeler-Transform (BWT), a reversible string transformation, is one of the fundamental components of many current data structures in string processing. It is central in data compression, as well as in efficient query algorithms for sequence data, such as webpages, genomic and other biological sequences, or indeed any textual data. The BWT lends itself well to compression because its number of equal-letter-runs (usually referred to as $r$) is often considerably lower than that of the original string; in particular, it is well suited for strings with many repeated factors. In fact, much attention has been paid to the $r$ parameter as measure of repetitiveness, especially to evalua…

FOS: Computer and information sciencesBurrows–Wheeler transformSettore INF/01 - InformaticaCombinatorics on wordsFormal Languages and Automata Theory (cs.FL)Computer scienceString (computer science)Search engine indexingCompressed data structuresComputer Science - Formal Languages and Automata TheoryString indexingData structureMeasure (mathematics)Burrows-Wheeler-TransformRepetitivenessCombinatorics on wordsBurrows-Wheeler-Transform Compressed data structures String indexing Repetitiveness Combinatorics on wordsTransformation (function)Computer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)AlgorithmData compression
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Abelian-Square-Rich Words

2017

An abelian square is the concatenation of two words that are anagrams of one another. A word of length $n$ can contain at most $\Theta(n^2)$ distinct factors, and there exist words of length $n$ containing $\Theta(n^2)$ distinct abelian-square factors, that is, distinct factors that are abelian squares. This motivates us to study infinite words such that the number of distinct abelian-square factors of length $n$ grows quadratically with $n$. More precisely, we say that an infinite word $w$ is {\it abelian-square-rich} if, for every $n$, every factor of $w$ of length $n$ contains, on average, a number of distinct abelian-square factors that is quadratic in $n$; and {\it uniformly abelian-sq…

FOS: Computer and information sciencesGeneral Computer ScienceDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)Abelian squareComputer Science - Formal Languages and Automata Theory0102 computer and information sciences02 engineering and technology68R1501 natural sciencesSquare (algebra)Theoretical Computer ScienceCombinatorics0202 electrical engineering electronic engineering information engineeringFOS: MathematicsMathematics - CombinatoricsAbelian groupQuotientMathematicsDiscrete mathematicsComputer Science (all)Sturmian wordSturmian wordFunction (mathematics)Thue–Morse word010201 computation theory & mathematicsBounded functionThue-Morse wordExponentAbelian square; Sturmian word; Thue-Morse word; Theoretical Computer Science; Computer Science (all)020201 artificial intelligence & image processingCombinatorics (math.CO)Word (group theory)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Enumeration and Structure of Trapezoidal Words

2013

Trapezoidal words are words having at most $n+1$ distinct factors of length $n$ for every $n\ge 0$. They therefore encompass finite Sturmian words. We give combinatorial characterizations of trapezoidal words and exhibit a formula for their enumeration. We then separate trapezoidal words into two disjoint classes: open and closed. A trapezoidal word is closed if it has a factor that occurs only as a prefix and as a suffix; otherwise it is open. We investigate open and closed trapezoidal words, in relation with their special factors. We prove that Sturmian palindromes are closed trapezoidal words and that a closed trapezoidal word is a Sturmian palindrome if and only if its longest repeated …

FOS: Computer and information sciencesFibonacci numberSpecial factorGeneral Computer ScienceFormal Languages and Automata Theory (cs.FL)Computer Science - Formal Languages and Automata TheoryEnumerative formulaDisjoint sets68R15Theoretical Computer ScienceFOS: MathematicsPalindromeMathematics - CombinatoricsClosed wordsFibonacci wordMathematicsDiscrete mathematicsClosed wordSequenceta111Sturmian wordPrefixCombinatorics on wordsRich wordtrapezoidal wordF.4.3Combinatorics (math.CO)SuffixWord (group theory)Computer Science(all)
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A note on easy and efficient computation of full abelian periods of a word

2016

Constantinescu and Ilie (Bulletin of the EATCS 89, 167-170, 2006) introduced the idea of an Abelian period with head and tail of a finite word. An Abelian period is called full if both the head and the tail are empty. We present a simple and easy-to-implement $O(n\log\log n)$-time algorithm for computing all the full Abelian periods of a word of length $n$ over a constant-size alphabet. Experiments show that our algorithm significantly outperforms the $O(n)$ algorithm proposed by Kociumaka et al. (Proc. of STACS, 245-256, 2013) for the same problem.

FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]Elementary abelian groupComputer Science - Formal Languages and Automata Theory0102 computer and information sciences02 engineering and technology[INFO] Computer Science [cs]01 natural sciencesRank of an abelian groupCombinatoricsSimple (abstract algebra)Computer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringDiscrete Mathematics and CombinatoricsData Structures and Algorithms (cs.DS)[INFO]Computer Science [cs]Abelian groupHidden subgroup problemDiscrete Mathematics and CombinatoricComputingMilieux_MISCELLANEOUSMathematicsCombinatorics on wordDiscrete mathematicsApplied Mathematics020206 networking & telecommunicationsAbelian periodText algorithmWeak repetitionFree abelian groupAbelian powerCombinatorics on wordsDesign of algorithm010201 computation theory & mathematicsWord (computer architecture)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Nondeterministic unitary OBDDs

2016

We investigate the width complexity of nondeterministic unitary OBDDs (NUOBDDs). Firstly, we present a generic lower bound on their widths based on the size of strong 1-fooling sets. Then, we present classically cheap functions that are expensive for NUOBDDs and vice versa by improving the previous gap. We also present a function for which neither classical nor unitary nondeterminism does help. Moreover, based on our results, we present a width hierarchy for NUOBDDs. Lastly, we provide the bounds on the widths of NUOBDDs for the basic Boolean operations negation, union, and intersection.

FOS: Computer and information sciencesComputer Science - Computational ComplexityQuantum PhysicsFormal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata TheoryComputational Complexity (cs.CC)Computer Science::Computational ComplexityQuantum Physics (quant-ph)
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