Search results for " Structures"

showing 10 items of 4162 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
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The Alternating BWT: an algorithmic perspective

2020

Abstract The Burrows-Wheeler Transform (BWT) is a word transformation introduced in 1994 for Data Compression. It has become a fundamental tool for designing self-indexing data structures, with important applications in several areas in science and engineering. The Alternating Burrows-Wheeler Transform (ABWT) is another transformation recently introduced in Gessel et al. (2012) [21] and studied in the field of Combinatorics on Words. It is analogous to the BWT, except that it uses an alternating lexicographical order instead of the usual one. Building on results in Giancarlo et al. (2018) [23] , where we have shown that BWT and ABWT are part of a larger class of reversible transformations, …

Discrete mathematicsFOS: Computer and information sciencesSettore INF/01 - InformaticaGeneral Computer ScienceBasis (linear algebra)Computer scienceAlternating Burrows-Wheeler TransformGalois wordRank-invertibilityField (mathematics)Data structureTheoretical Computer ScienceTransformation (function)Difference cover algorithmComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Time complexityAlternating Burrows-Wheeler Transform; Difference cover algorithm; Galois word; Rank-invertibilityWord (computer architecture)Data compression
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Minimal forbidden words and symbolic dynamics

1996

We introduce a new complexity measure of a factorial formal language L: the growth rate of the set of minimal forbidden words. We prove some combinatorial properties of minimal forbidden words. As main result we prove that the growth rate of the set of minimal forbidden words for L is a topological invariant of the dynamical system defined by L.

Discrete mathematicsFactorial010102 general mathematics[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Symbolic dynamicsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciencesInvariant (physics)16. Peace & justice01 natural sciencesCombinatorics010201 computation theory & mathematicsTheoryofComputation_LOGICSANDMEANINGSOFPROGRAMSInformation complexityFormal language0101 mathematicsComputer Science::Formal Languages and Automata TheoryComputingMilieux_MISCELLANEOUSMathematicsofComputing_DISCRETEMATHEMATICSMathematics
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A Graph Based Algorithm For Intersection Of Subdivision Surfaces

2003

Computing surface intersections is a fundamental problem in geometric modeling. Any boolean operation can be seen as an intersection calculation followed by a selection of the parts necessary for building the surface of the resulting object. A robust and efficient algorithm to compute intersection on subdivision surfaces (surfaces generated by the Loop scheme) is proposed here. This algorithm relies on the concept of a bipartite graph which allows the reduction of the number of faces intersection tests. Intersection computations are accelerated by the use of the bipartite graph and the neighborhood of intersecting faces at a given level of subdivision to deduce intersecting faces at the fol…

Discrete mathematicsFoster graph[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS][ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM][INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Intersection number (graph theory)Intersection graphlaw.inventionCombinatorics[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]IntersectionlawHomeomorphism (graph theory)Subdivision surfaceCircle graphAlgorithmComputingMilieux_MISCELLANEOUS[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]ComputingMethodologies_COMPUTERGRAPHICSMathematicsDistance-hereditary graph
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Machine-Independent Characterizations and Complete Problems for Deterministic Linear Time

2002

This article presents two algebraic characterizations and two related complete problems for the complexity class DLIN that was introduced in [E. Grandjean, Ann. Math. Artif. Intell., 16 (1996), pp. 183--236]. DLIN is essentially the class of all functions that can be computed in linear time on a Random Access Machine which uses only numbers of linear value during its computations. The algebraic characterizations are in terms of recursion schemes that define unary functions. One of these schemes defines several functions simultaneously, while the other one defines only one function. From the algebraic characterizations, we derive two complete problems for DLIN under new, very strict, and mac…

Discrete mathematicsGeneral Computer ScienceUnary operationGeneral Mathematics[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Recursion (computer science)[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciences02 engineering and technologyFunction (mathematics)01 natural sciencesRandom-access machine010201 computation theory & mathematicsCompleteness (order theory)0202 electrical engineering electronic engineering information engineeringComplexity class020201 artificial intelligence & image processingAlgebraic numberTime complexityMathematics
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Bounds for minimum feedback vertex sets in distance graphs and circulant graphs

2008

Graphs and Algorithms

Discrete mathematicsGeneral Computer Science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Neighbourhood (graph theory)[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM][INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Feedback arc setTheoretical Computer ScienceCombinatorics[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]Circulant graphChordal graphIndependent setDiscrete Mathematics and CombinatoricsMaximal independent setFeedback vertex setRegular graph[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]MathematicsMathematicsofComputing_DISCRETEMATHEMATICS
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Random analysis of geometrically non-linear FE modelled structures under seismic actions

1990

Abstract In the framework of the finite element (FE) method, by using the “total Lagrangian approach”, the stochastic analysis of geometrically non-linear structures subjected to seismic inputs is performed. For this purpose the equations of motion are written with the non-linear contribution in an explicit representation, as pseudo-forces, and with the ground motion modelled as a filtered non-stationary white noise Gaussian process, using a Tajimi-Kanai-like filter. Then equations for the moments of the response are obtained by extending the classical Ito's rule to vectors of random processes. The equations of motion, and the equations for moments, obtained here, show a perfect formal simi…

Discrete mathematicsHermite polynomialsSimilarity (geometry)Random excitation; non-linear structuresStochastic processMathematical analysisEquations of motionBuilding and ConstructionWhite noiseFinite element methodRandom excitationNonlinear systemsymbols.namesakesymbolsnon-linear structuresSafety Risk Reliability and QualityGaussian processCivil and Structural EngineeringMathematics
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A note on Sturmian words

2012

International audience; We describe an algorithm which, given a factor of a Sturmian word, computes the next factor of the same length in the lexicographic order in linear time. It is based on a combinatorial property of Sturmian words which is related with the Burrows-Wheeler transformation.

Discrete mathematicsProperty (philosophy)General Computer ScienceSettore INF/01 - Informatica010102 general mathematics[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Sturmian word0102 computer and information sciencesSturmian wordsLexicographical order01 natural sciencesTheoretical Computer ScienceCombinatoricsTransformation (function)010201 computation theory & mathematicsFactor (programming language)combinatorics0101 mathematicscomputerTime complexitycomputer.programming_languageMathematics
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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
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New Encodings of Pseudo-Boolean Constraints into CNF

2009

International audience; This paper answers affirmatively the open question of the existence of a polynomial size CNF encoding of pseudo-Boolean (PB) constraints such that generalized arc consistency (GAC) is maintained through unit propagation (UP). All previous encodings of PB constraints either did not allow UP to maintain GAC, or were of exponential size in the worst case. This paper presents an encoding that realizes both of the desired properties. From a theoretical point of view, this narrows the gap between the expressive power of clauses and the one of pseudo-Boolean constraints.

Discrete mathematics[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Polynomial021103 operations researchUnit propagation[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]0211 other engineering and technologies[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]02 engineering and technologyComputer Science::Computational ComplexityExpressive powerExponential functionCombinatorics[ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC]Encoding (memory)0202 electrical engineering electronic engineering information engineeringLocal consistency020201 artificial intelligence & image processingPoint (geometry)[INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC][ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]Mathematics
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