Search results for "Divergence"

showing 10 items of 257 documents

What do we mean by diversity? : the path towards quantification

2018

The concept of biological diversity has evolved from a simple count of species to more sophisticated measures that are sensitive to relative abundances and even to evolutionary divergence times between species. In the course of this evolution, diversity measures have often been borrowed from other disciplines. Biological reasoning about diversity often implicitly assumed that measures of diversity had certain mathematical properties, but most of biologys traditional diversity measures did not actually possess these properties, a situation which often led to mathematically and biologically invalid inferences. Biologists now usually transform the traditional measures to the «effective number …

51MultidisciplinaryHistory and Philosophy of SciencePath (graph theory)Mathematical propertiesBiodiversityEvolutionary divergenceRule of inferenceData scienceDiversity (business)Global biodiversitySimple (philosophy)
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Relation between fixation disparity and the asymmetry between convergent and divergent disparity step responses

2007

Abstract The neural network model of Patel et al. [Patel, S. S., Jiang, B. C., & Ogmen, H. (2001). Vergence dynamics predict fixation disparity. Neural Computation, 13 (7), 1495–1525] predicts that fixation disparity, the vergence error for a stationary fusion stimulus, is the result of asymmetrical dynamic properties of disparity vergence mechanisms: faster (slower) convergent than divergent responses give rise to an eso (exo) fixation disparity, i.e., over-convergence (under-convergence) in stationary fixation. This hypothesis was tested in the present study with an inter-individual approach: in 16 subjects we estimated the vergence step response to a 1 deg disparity stimulus with a subje…

AdultVision Disparitymedia_common.quotation_subjectModels NeurologicalFixation OcularStimulus (physiology)AsymmetryDivergencelaw.inventionModels of neural computationOpticslawHumansmedia_commonMathematicsVision Binocularbusiness.industryMathematical analysisConvergence OcularNoniusSensory SystemsOphthalmologyConvergent and divergent productionNonius linesBinocular visionConvergenceFixation disparitybusinessBinocular visionPhotic StimulationVision Research
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Continuity of solutions of linear, degenerate elliptic equations

2009

We consider the simplest form of a second order, linear, degenerate, divergence structure equation in the plane. Under an integrability condition on the degenerate function, we prove that the solutions are continuous.

AlgebraMathematics (miscellaneous)Plane (geometry)Mathematical analysisStructure equationDegenerate energy levelsOrder (group theory)Function (mathematics)Divergence (statistics)Theoretical Computer ScienceMathematicsANNALI SCUOLA NORMALE SUPERIORE - CLASSE DI SCIENZE
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Local regularity for quasi-linear parabolic equations in non-divergence form

2018

Abstract We consider viscosity solutions to non-homogeneous degenerate and singular parabolic equations of the p -Laplacian type and in non-divergence form. We provide local Holder and Lipschitz estimates for the solutions. In the degenerate case, we prove the Holder regularity of the gradient. Our study is based on a combination of the method of alternatives and the improvement of flatness estimates.

Applied Mathematics010102 general mathematicsMathematical analysisDegenerate energy levelsMathematics::Analysis of PDEsType (model theory)Lipschitz continuity01 natural sciencesParabolic partial differential equation010101 applied mathematicsViscosityMathematics - Analysis of PDEs35B65 35K65 35D40 35K92 35K6FOS: Mathematics0101 mathematicsDivergence (statistics)Laplace operatorAnalysisAnalysis of PDEs (math.AP)Flatness (mathematics)MathematicsNonlinear Analysis
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Local behaviour of singular solutions for nonlinear elliptic equations in divergence form

2012

We consider the following class of nonlinear elliptic equations $$\begin{array}{ll}{-}{\rm div}(\mathcal{A}(|x|)\nabla u) +u^q=0\quad {\rm in}\; B_1(0)\setminus\{0\}, \end{array}$$ where q > 1 and $${\mathcal{A}}$$ is a positive C 1(0,1] function which is regularly varying at zero with index $${\vartheta}$$ in (2−N,2). We prove that all isolated singularities at zero for the positive solutions are removable if and only if $${\Phi\not\in L^q(B_1(0))}$$ , where $${\Phi}$$ denotes the fundamental solution of $${-{\rm div}(\mathcal{A}(|x|)\nabla u)=\delta_0}$$ in $${\mathcal D'(B_1(0))}$$ and δ0 is the Dirac mass at 0. Moreover, we give a complete classification of the behaviour near zero of al…

Applied MathematicsMathematical analysisZero (complex analysis)Function (mathematics)DivergenceCombinatoricsNonlinear systemSettore MAT/05 - Analisi MatematicaFundamental solutionnonlinear equationsNabla symbolSingular solutionAnalysisMathematics
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Internal fe approximation of spaces of divergence-free functions in three-dimensional domains

1986

SUMMARY The space of divergence-free vector functions with vanishing normal flux on the boundary is approximated by subspaces of finite elements having the same property. An easy way of generating basis functions in these subspaces is shown.

Applied MathematicsMechanical EngineeringMathematical analysisComputational MechanicsFluxBoundary (topology)Basis functionSpace (mathematics)Linear subspaceFinite element methodComputer Science ApplicationsMechanics of MaterialsDivergence (statistics)Vector-valued functionMathematicsInternational Journal for Numerical Methods in Fluids
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A filtering algorithm for maneuvering target tracking based on smoothing spline fitting

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/127643 Open Access Maneuvering target tracking is a challenge. Target's sudden speed or direction changing would make the common filtering tracker divergence. To improve the accuracy of maneuvering target tracking, we propose a tracking algorithm based on spline fitting. Curve fitting, based on historical point trace, reflects the mobility information. The innovation of this paper is assuming that there is no dynamic motion model, and prediction is only based on the curve fitting over the measured data. Monte Carlo simulation results show that, …

Article Subjectlcsh:MathematicsApplied MathematicsMonte Carlo methodSpline fittingAnalysis; Applied MathematicsTracking (particle physics)lcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Smoothing splineCurve fittingPoint (geometry)Divergence (statistics)AlgorithmAnalysisTRACE (psycholinguistics)Mathematics
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Detection and evaluation of an early divergence problem in northern Fennoscandian tree-ring data

2013

Although not yet fully understood, reduced sensitivity of tree growth to temperature at high northern latitudes during the last ˜ 40 years is often linked to concurrent anthropogenic changes of atmospheric composition and global warming. The idea that a temporal localization of the problem could improve its understanding initiated a search for erratic growth-patterns in earlier periods of high quality dendrochronological archives. An extensive network of maximum latewood density (MXD) measurements from northern Fennoscandia likely represents one of the most reliable regional summer-temperature reconstructions. The strong coherence between proxy and instrumental data is, however, interrupted…

Atmospheric compositionbiologyEcologyClimatologyDivergence problemGlobal warmingEnvironmental sciencePicea abiesTree ring databiology.organism_classificationEcology Evolution Behavior and SystematicsProxy (climate)LatitudeOikos
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LogDet divergence-based metric learning with triplet constraints and its applications.

2014

How to select and weigh features has always been a difficult problem in many image processing and pattern recognition applications. A data-dependent distance measure can address this problem to a certain extent, and therefore an accurate and efficient metric learning becomes necessary. In this paper, we propose a LogDet divergence-based metric learning with triplet constraints (LDMLT) approach, which can learn Mahalanobis distance metric accurately and efficiently. First of all, we demonstrate the good properties of triplet constraints and apply it in LogDet divergence-based metric learning model. Then, to deal with high-dimensional data, we apply a compressed representation method to learn…

AutomatedData InterpretationBiometryFeature extractionhigh dimensional datametric learningPattern RecognitionFacial recognition systemSensitivity and SpecificityMatrix decompositionPattern Recognition Automatedcompressed representationComputer-AssistedArtificial Intelligencecompressed representation; high dimensional data; LogDet divergence; metric learning; triplet constraint; Artificial Intelligence; Biometry; Data Interpretation Statistical; Face; Humans; Image Enhancement; Image Interpretation Computer-Assisted; Pattern Recognition Automated; Photography; Reproducibility of Results; Sensitivity and Specificity; Algorithms; Facial Expression; Software; Medicine (all); Computer Graphics and Computer-Aided DesignImage Interpretation Computer-AssistedPhotographyHumansDivergence (statistics)Image retrievalImage InterpretationMathematicsMahalanobis distancebusiness.industryLogDet divergenceMedicine (all)Reproducibility of ResultsPattern recognitionStatisticalImage EnhancementComputer Graphics and Computer-Aided DesignFacial ExpressionComputingMethodologies_PATTERNRECOGNITIONComputer Science::Computer Vision and Pattern RecognitionData Interpretation StatisticalFaceMetric (mathematics)Pattern recognition (psychology)Artificial intelligencetriplet constraintbusinessSoftwareAlgorithmsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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A multi-locus inference of the evolutionary diversification of extant flamingos (Phoenicopteridae).

2014

9 pages; International audience; BACKGROUND: Modern flamingos (Phoenicopteridae) occupy a highly specialized ecology unique among birds and represent a potentially powerful model system for informing the mechanisms by which a lineage of birds adapts and radiates. However, despite a rich fossil record and well-studied feeding morphology, molecular investigations of the evolutionary progression among modern flamingos have been limited. Here, using three mitochondrial (mtDNA) markers, we present the first DNA sequence-based study of population genetic variation in the widely distributed Chilean Flamingo and, using two mtDNA and 10 nuclear (nDNA) markers, recover the species tree and divergence…

BillBiogeographyPopulationMESH : Multilocus Sequence TypingZoologyMetapopulationMirandornithesBirdsEvolution MolecularMESH : Bayes TheoremPhylogeneticsMESH : Genetic VariationMESH : Biological EvolutionMESH : PhylogeographyAnimalsMESH : Evolution MolecularMESH : BirdseducationDivergence timeEcology Evolution Behavior and SystematicsPhylogenyCell Nucleuseducation.field_of_studyMESH : Cell NucleusbiologyPhylogenetic treeFossilsGenetic VariationBayes TheoremFossilbiology.organism_classificationBiological EvolutionPhoenicoparrusPhoenicopteridaePhylogeographyFlamingoBiogeographyEvolutionary biologyFilter feedingMESH : FossilsMESH : Animals[ SDV.BID.SPT ] Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomyMultilocus Sequence TypingResearch Article
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