Search results for "Function"

showing 10 items of 14432 documents

A NEW POTENTIAL FUNCTION FOR SELF INTERSECTING GIELIS CURVES WITH RATIONAL SYMMETRIES

2009

International audience; We present a new potential field equation for self-intersecting Gielis curves with rational rotational symmetries. In the literature, potential field equations for these curves, and their extensions to surfaces, impose the rotational symmetries to be integers in order to guarantee the unicity of the intersection between the curve/surface and any ray starting from its center. Although the representation with natural symmetries has been applied to mechanical parts modeling and reconstruction, the lack of a potential function for Rational symmetry Gielis Curves (RGC) remains a major problem for natural object representation, such as flowers and phyllotaxis. We overcome thi…

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]superquadricsparametric functionsR-functions[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]implicit functionsGielis curves and surfacessymmetry
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Query-preserving watermarking of relational databases and XML documents

2011

Watermarking allows robust and unobtrusive insertion of information in a digital document. During the last few years, techniques have been proposed for watermarking relational databases or Xml documents, where information insertion must preserve a specific measure on data (for example the mean and variance of numerical attributes). In this article we investigate the problem of watermarking databases or Xml while preserving a set of parametric queries in a specified language, up to an acceptable distortion. We first show that unrestricted databases can not be watermarked while preserving trivial parametric queries. We then exhibit query languages and classes of structures that allow guarante…

[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Theoretical computer scienceInformation retrievalcomputer.internet_protocolRelational databaseComputer science0102 computer and information sciences02 engineering and technologyQuery language01 natural sciencesVC dimension[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Computational learning theory010201 computation theory & mathematicsBounded function0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Graph (abstract data type)020201 artificial intelligence & image processingcomputerDigital watermarkingComputingMilieux_MISCELLANEOUSXMLInformation SystemsParametric statisticsProceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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SIMILARITY NETWORK FOR SEMANTIC WEB SERVICES SUBSTITUTION

2013

Web services substitution is one of the most challenging tasks for automating the composition process of multiple Web services. It aims to improve performances and to deal efficiently with Web services failures. Many existing solutions have approached the problem through classification of substitutable Web services. To go a step further, we propose in this paper a network based approach where nodes are Web services operations and links join similar operations. Four similarity measures based on the comparison of input and output parameters values of Web services operations are presented. A comparative evaluation of the topological structure of the corresponding networks is performed on a ben…

[INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-WB]Computer Science [cs]/WebSemantic Web services[ INFO.INFO-WB ] Computer Science [cs]/WebFunctional similaritySimilarity networkSubstitution
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A note on Hilbert’s weak nullstellensatz

2015

In this article, through a suitable generalization of the well-known notion of spectrum of an element of an arbitrary normed algebra of Operator Theory, it will be possible to give another simple proof of the Hilbert’s Weak Nullstellensatz.

[MATH.MATH-AC] Mathematics [math]/Commutative Algebra [math.AC]lcsh:MathematicsSpectrum[MATH.MATH-FA] Mathematics [math]/Functional Analysis [math.FA]lcsh:Descriptive and experimental mechanicsOperator algebraComputer Science::Computational GeometryComputer Science::Data Structures and Algorithmslcsh:QA1-939Ideallcsh:QC120-168.85
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On Gelfand-Mazur Theorem

2015

From a suitable extension of the notion of spectrum drew from normed algebra theory, it will be possible, among other things, to provide some generalizations of the well-known Gelfand-Mazur theorem. In this brief research report, we wish to pursue one of these, as achieved in I,4.

[MATH.MATH-AC] Mathematics [math]/Commutative Algebra [math.AC]topology[MATH.MATH-AC]Mathematics [math]/Commutative Algebra [math.AC]Gelfand-Mazur theorem[MATH.MATH-OA]Mathematics [math]/Operator Algebras [math.OA][MATH.MATH-FA] Mathematics [math]/Functional Analysis [math.FA][MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA][MATH.MATH-OA] Mathematics [math]/Operator Algebras [math.OA]ComputingMilieux_MISCELLANEOUSspectrum
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Counting Prefixes of Skew Dyck Paths

2021

We present enumerative results on prefixes of skew Dyck paths by giving recursive relations, Riordan arrays, and generating functions, as well as closed formulas to count the total number of these paths with respect to the length, the height of its endpoint and the number of left steps.

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO]Riordan arrayLagrange inversionSkew Dyck pathGenerating function
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Can there be a general nonlinear PDE theory for existence of solutions ?

2010

Updated version of the 2004 paper arxiv:math/0407026; Contrary to widespread perception, there is ever since 1994 a unified, general type independent theory for the existence of solutions for very large classes of nonlinear systems of PDEs. This solution method is based on the Dedekind order completion of suitable spaces of piece-wise smooth functions on the Euclidean domains of definition of the respective PDEs. The method can also deal with associated initial and/or boundary value problems. The solutions obtained can be assimilated with usual measurable functions or even with Hausdorff continuous functions on the respective Euclidean domains. It is important to note that the use of the or…

[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM]MSC 35[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph][PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph][MATH.MATH-FA] Mathematics [math]/Functional Analysis [math.FA]QA Mathematics (General)[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP][MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM][MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP][PHYS.MPHY] Physics [physics]/Mathematical Physics [math-ph][MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph][MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA]
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Statistical consequences of the Devroye inequality for processes. Applications to a class of non-uniformly hyperbolic dynamical systems

2005

In this paper, we apply Devroye inequality to study various statistical estimators and fluctuations of observables for processes. Most of these observables are suggested by dynamical systems. These applications concern the co-variance function, the integrated periodogram, the correlation dimension, the kernel density estimator, the speed of convergence of empirical measure, the shadowing property and the almost-sure central limit theorem. We proved in \cite{CCS} that Devroye inequality holds for a class of non-uniformly hyperbolic dynamical systems introduced in \cite{young}. In the second appendix we prove that, if the decay of correlations holds with a common rate for all pairs of functio…

[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Pure mathematicsDynamical systems theoryFunction space[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]General Physics and AstronomyDynamical Systems (math.DS)01 natural sciences010104 statistics & probabilityFOS: MathematicsMathematics - Dynamical Systems0101 mathematicsMathematical PhysicsCentral limit theoremMathematicsApplied MathematicsProbability (math.PR)010102 general mathematicsEstimatorStatistical and Nonlinear PhysicsFunction (mathematics)Absolute continuity[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Besov spaceInvariant measure[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - ProbabilityNonlinearity
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The central limit theorem for linear eigenvalue statistics of the sum of independent random matrices of rank one

2014

International audience

[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]010104 statistics & probability[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]010102 general mathematics[MATH.MATH-FA] Mathematics [math]/Functional Analysis [math.FA]0101 mathematics16. Peace & justice[MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA]01 natural sciencesComputingMilieux_MISCELLANEOUS
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Additive functionals and push forward measures under Veretennikov's flow

2014

16 pages; In this work, we will be interested in the push forward measure $(\vf_t)_*\gamma$, where $\vf_t$ is defined by the stochastic differential equation \begin{equation*} d\vf_t(x)=dW_t + \ba(\vf_t(x))dt, \quad \vf_0(x)=x\in\mbR^m, \end{equation*} and $\gamma$ is the standard Gaussian measure. We will prove the existence of density under the hypothesis that the divergence $\div(\ba)$ is not a function, but a signed measure belonging to a Kato class; the density will be expressed with help of the additive functional associated to $\div(\ba)$.

[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]010104 statistics & probability[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]010102 general mathematicsstochastic flowsAdditive functionalsmeasures in Kato class0101 mathematics01 natural sciencesAMS 2000 subject classifications. Primary 60H10; secondary 60J35 60J60.[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]
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