Search results for "Algebraic number"

showing 10 items of 169 documents

Une structure o-minimale sans décomposition cellulaire

2008

Resume Nous construisons une extension o-minimale du corps des nombres reels qui n'admet pas la propriete de decomposition cellulaire en classe C ∞ . Pour citer cet article : O. Le Gal, J.-P. Rolin, C. R. Acad. Sci. Paris, Ser. I 346 (2008).

010101 applied mathematicsCombinatorics010102 general mathematicsCell structureGeneral MedicineDecomposition method (constraint satisfaction)0101 mathematicsAlgebraic number field01 natural sciencesMathematicsComptes Rendus Mathematique
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An Algebraic Derivation of Chao’s Estimator of the Number of Species in a Community Highlights the Condition Allowing Chao to Deliver Centered Estima…

2014

Anne Chao proposed a very popular, nonparametric estimator of the species richness of a community, on the basis of a limited size sampling of this community. This expression was originally derived on a statistical basis as a lower-bound estimate of the number of missing species in the sample and provides accordingly a minimal threshold for the estimation of the total species richness of the community. Hereafter, we propose an alternative, algebraic derivation of Chao’s estimator, demonstrating thereby that Chao’s formulation may also provide centered estimates (and not only a lower bound threshold), provided that the sampled communities satisfy a specific type of SAD (species abundance dist…

0106 biological sciences[ SDV.BID ] Life Sciences [q-bio]/BiodiversityIdeal (set theory)Article SubjectEstimatorSampling (statistics)[SDV.BID]Life Sciences [q-bio]/Biodiversity15. Life on land010603 evolutionary biology01 natural sciencesUpper and lower bounds010104 statistics & probabilitySample size determinationStatisticsSpecies richness0101 mathematicsAlgebraic numberRelative abundance distributionMathematicsResearch ArticleInternational Scholarly Research Notices
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An algebraic continuous time parameter estimation for a sum of sinusoidal waveform signals

2016

In this paper, a novel algebraic method is proposed to estimate amplitudes, frequencies, and phases of a biased and noisy sum of complex exponential sinusoidal signals. The resulting parameter estimates are given by original closed formulas, constructed as integrals acting as time-varying filters of the noisy measured signal. The proposed algebraic method provides faster and more robust results, compared with usual procedures. Some computer simulations illustrate the efficiency of our method. Copyright © 2016 John Wiley & Sons, Ltd.

0209 industrial biotechnologyMathematical optimizationNoise (signal processing)020206 networking & telecommunications02 engineering and technologySignalsymbols.namesake020901 industrial engineering & automationAmplitudeSine waveControl and Systems EngineeringSinusoidal waveformSignal Processing0202 electrical engineering electronic engineering information engineeringEuler's formulasymbolsApplied mathematicsDifferential algebraElectrical and Electronic EngineeringAlgebraic numberMathematicsInternational Journal of Adaptive Control and Signal Processing
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Algebraic parameter estimation of a multi-sinusoidal waveform signal from noisy data

2013

International audience; In this paper, we apply an algebraic method to estimate the amplitudes, phases and frequencies of a biased and noisy sum of complex exponential sinusoidal signals. Let us stress that the obtained estimates are integrals of the noisy measured signal: these integrals act as time-varying filters. Compared to usual approaches, our algebraic method provides a more robust estimation of these parameters within a fraction of the signal's period. We provide some computer simulations to demonstrate the efficiency of our method.

0209 industrial biotechnology[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSignalsymbols.namesake020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingControl theory[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering0202 electrical engineering electronic engineering information engineeringFraction (mathematics)Algebraic numberNoisy data[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematicsEstimation theory020206 networking & telecommunicationsAmplitudeSinusoidal waveformEuler's formulasymbols[INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Algebraic parameter estimation of a biased sinusoidal waveform signal from noisy data

2012

International audience; The amplitude, frequency and phase of a biased and noisy sum of two complex exponential sinusoidal signals are estimated via new algebraic techniques providing a robust estimation within a fraction of the signal period. The methods that are popular today do not seem able to achieve such performances. The efficiency of our approach is illustrated by several computer simulations.

0209 industrial biotechnology[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingPhase (waves)02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSignalsymbols.namesake020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering0202 electrical engineering electronic engineering information engineeringElectronic engineeringFraction (mathematics)Differential algebraAlgebraic numberMathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingEstimation theory020206 networking & telecommunicationsAmplitudeEuler's formulasymbols[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithm[INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering
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QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computati…

2017

Background In previous reports, Marrero-Ponce et al. proposed algebraic formalisms for characterizing topological (2D) and chiral (2.5D) molecular features through atom- and bond-based ToMoCoMD-CARDD (acronym for Topological Molecular Computational Design-Computer Aided Rational Drug Design) molecular descriptors. These MDs codify molecular information based on the bilinear, quadratic and linear algebraic forms and the graph-theoretical electronic-density and edge-adjacency matrices in order to consider atom- and bond-based relations, respectively. These MDs have been successfully applied in the screening of chemical compounds of different therapeutic applications ranging from antimalarials…

0301 basic medicineTheoretical computer scienceComputer scienceBilinear interpolationLibrary and Information SciencesTopologyLinear01 natural scienceslcsh:ChemistryToMoCoMD-CARDDDouble stochastic03 medical and health sciencesMatrix (mathematics)SoftwareQuadratic equationMolecular descriptorAtom/bond-based molecular descriptorPhysical and Theoretical ChemistryAlgebraic numberSimple stochasticFree and open source softwarelcsh:T58.5-58.64lcsh:Information technologybusiness.industryQSARMutual probability matricesComputer Graphics and Computer-Aided DesignRotation formalisms in three dimensions0104 chemical sciencesComputer Science Applications010404 medicinal & biomolecular chemistry030104 developmental biologylcsh:QD1-999CheminformaticsBilinear and quadratic indicesbusinessNon-stochasticSoftwareQuBiLS-MASJournal of cheminformatics
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Projective models of K3 surfaces with an even set

2006

The aim of this paper is to describe algebraic K3 surfaces with an even set of rational curves or of nodes. Their minimal possible Picard number is nine. We completely classify these K3 surfaces and after a carefull analysis of the divisors contained in the Picard lattice we study their projective models, giving necessary and sufficient conditions to have an even set. Moreover we investigate their relation with K3 surfaces with a Nikulin involution.

14J28 14J10 14E20Discrete mathematicsMathematics - Algebraic GeometryPure mathematicsMathematics::Algebraic GeometryFOS: MathematicsGeometry and TopologyProjective testAlgebraic numberAlgebraic Geometry (math.AG)Twisted cubicMathematicsadvg
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Automorphisms of 2–dimensional right-angled Artin groups

2007

We study the outer automorphism group of a right-angled Artin group AA in the case where the defining graph A is connected and triangle-free. We give an algebraic description of Out.AA/ in terms of maximal join subgraphs in A and prove that the Tits’ alternative holds for Out.AA/. We construct an analogue of outer space for Out.AA/ and prove that it is finite dimensional, contractible, and has a proper action of Out.AA/. We show that Out.AA/ has finite virtual cohomological dimension, give upper and lower bounds on this dimension and construct a spine for outer space realizing the most general upper bound. 20F36; 20F65, 20F28

20F36outer spaceCohomological dimensionComputer Science::Digital LibrariesQuantitative Biology::Other01 natural sciencesContractible spaceUpper and lower boundsCombinatorics0103 physical sciences20F650101 mathematicsAlgebraic numberMathematics20F28Quantitative Biology::Biomolecules010102 general mathematicsAstrophysics::Instrumentation and Methods for AstrophysicsOuter automorphism groupAutomorphismGraphArtin groupright-angled Artin groups010307 mathematical physicsGeometry and Topologyouter automorphismsGeometry & Topology
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Algebras of unbounded operators and physical applications: a survey

2009

After a historical introduction on the standard algebraic approach to quantum mechanics of large systems we review the basic mathematical aspects of the algebras of unbounded operators. After that we discuss in some details their relevance in physical applications.

AlgebraAlgebras of unbounded operatorComputer scienceComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONAlgebraic dynamicFOS: Physical sciencesStatistical and Nonlinear PhysicsRelevance (information retrieval)Mathematical Physics (math-ph)Algebraic numberQuantum systems with infinite degrees of freedomSettore MAT/07 - Fisica MatematicaMathematical Physics
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Algebraic Frobenius groups

2000

AlgebraApplied MathematicsGeneral MathematicsSettore MAT/03 - GeometriaAlgebraic numberAlgebraic groups Frobenius groupsMathematics
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