Search results for "approximation"

showing 10 items of 818 documents

Changes in the objective amplitude of accommodation with pupil size.

2014

PURPOSE We evaluate the effect of pupil size on objectively measured amplitude of accommodation (AA). METHODS Pupil diameter and wavefront aberrometry were obtained in 15 eyes when stimulus swept across the range of clear vision in steps of 0.5 diopters. Wavefront refraction techniques were used to compute objective AA as the maximum refractive change. Measurements were obtained monocularly under low and high ambient room lighting conditions with a fixed luminance of the fixation target. Amplitude of accommodation computations were performed taking into account just paraxial rays (paraxial AA) or including the effects of the change of spherical aberration during accommodation (minRMS AA). R…

MiosisAdultMaleCorneal Wavefront AberrationLightRefraction OcularLuminancePupilCorneaYoung AdultOpticsmedicineHumansDioptrePhysicsbusiness.industryAberrometryParaxial approximationAccommodation OcularPupilAmplitude of accommodationOphthalmologySpherical aberrationFemalemedicine.symptombusinessAccommodationOptometryOptometry and vision science : official publication of the American Academy of Optometry
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Mixed integer optimal compensation: Decompositions and mean-field approximations

2012

Mixed integer optimal compensation deals with optimizing integer- and real-valued control variables to compensate disturbances in dynamic systems. The mixed integer nature of controls might be a cause of intractability for instances of larger dimensions. To tackle this issue, we propose a decomposition method which turns the original n-dimensional problem into n independent scalar problems of lot sizing form. Each scalar problem is then reformulated as a shortest path one and solved through linear programming over a receding horizon. This last reformulation step mirrors a standard procedure in mixed integer programming. We apply the decomposition method to a mean-field coupled multi-agent s…

Model predictive controlApproximation theoryMathematical optimizationLinear programmingBranch and priceShortest path problemDecomposition method (constraint satisfaction)Optimal controlInteger programmingMathematics2012 American Control Conference (ACC)
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Estimate the mean electricity consumption curve by survey and take auxiliary information into account

2012

In this thesis, we are interested in estimating the mean electricity consumption curve. Since the study variable is functional and storage capacities are limited or transmission cost are high survey sampling techniques are interesting alternatives to signal compression techniques. We extend, in this functional framework, estimation methods that take into account available auxiliary information and that can improve the accuracy of the Horvitz-Thompson estimator of the mean trajectory. The first approach uses the auxiliary information at the estimation stage, the mean curve is estimated using model-assisted estimators with functional linear regression models. The second method involves the au…

Model-assisted estimator[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM]Unequal probability sampling without replacement[MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM]Functional linear modelCovariance functionFunctional central limit theoremConfidence bandFunctional dataBootstrapSurvey sampling[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM]Théorème central limite fonctionnelDonnées fonctionnellesHajek variance approximationFonction de covariancePlan à probabilités inégales sans remiseEstimateur de Horvitz-ThompsonModèle linéaire fonctionnelApproximation de HájekHorvitz-Thompson estimatorSondageBande de confianceEstimateur model-assisted
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Second-order approximations to laser-assisted charged-particle scattering.

1990

Multiphoton free-free transitions within a full second-order treatment of the scattering potential are considered with two specific aims: (i) to test some widely used approximations against exact calculations; (ii) to present differential cross sections for the laser-assisted positron scattering, in the regime of intermediate field intensities (up to ${10}^{13}$ W/${\mathrm{cm}}^{2}$). In the case of a field linearly polarized along the incident particle momentum, the results clearly discriminate among the approximations, setting interesting limitations to each of them as functions of the scattering potential features and of the field parameters. Each approach shows good performance for par…

MomentumPhysicsField (physics)ScatteringOrder (ring theory)Scattering lengthElementary particleAtomic physicsBorn approximationAtomic and Molecular Physics and OpticsCharged particlePhysical review. A, Atomic, molecular, and optical physics
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A method for high-resolution in-beam studies of internal pair transitions

1978

Abstract A combination intermediate-image magnetic plus Si(Li) electron spectrometer has been adapted to internal pair formation measurements of cyclotron-induced reactions. The system is especially intended for the study of E0 transitions in the energy range from 1.5 to 8.6 MeV and to measurements of coincidences between internal pairs and heavy particles. The method is based on the fact that the electron and the positron spiral from the target to the detector simultaneously, the sense of rotation being of opposite sign. The energies of the particles are summed in a high-resolution cooled Si(Li) detector. Calculations of the spectrometer pair-line efficiency for E0 transitions versus trans…

MomentumPhysicsRange (particle radiation)Electron spectrometerPositronSpectrometerDetectorGeneral MedicineElectronBorn approximationAtomic physicsNuclear Instruments and Methods
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Complete Measurement of the Λ Electromagnetic Form Factors.

2019

The exclusive process e+e−→ΛΛ¯, with Λ→pπ− and Λ¯→p¯π+, has been studied at s=2.396 GeV for measurement of the timelike Λ electric and magnetic form factors, GE and GM. A data sample, corresponding to an integrated luminosity of 66.9 pb−1, was collected with the BESIII detector for this purpose. A multidimensional analysis with a complete decomposition of the spin structure of the reaction enables a determination of the modulus of the ratio R=|GE/GM| and, for the first time for any baryon, the relative phase ΔΦ=ΦE−ΦM. The resulting values are R=0.96±0.14(stat)±0.02(syst) and ΔΦ=37°±12°(stat)±6°(syst), respectively. These are obtained using the recently established and most precise value of …

Multi-dimensional analysisElectron–positron annihilationRelative phaseHadronAnalytical chemistryGeneral Physics and AstronomyHadronsOBSERVABLESLambdaBaryon01 natural sciencesArticleNOHigh Energy Physics - ExperimentSubatomär fysikGermanium compoundsElectromagnetic form factorsSubatomic Physics0103 physical sciencesMagnetic form factorTwo-photon exchangePiddc:530010306 general physicsAsymmetry parameterProton Scattering; Nucleons; HydrogenPhysicsIntegrated luminosityDecompositionPhysicsHigh Energy Physics::PhenomenologyApproximation theoryPhysics multidisciplinaryPhotonHigh Energy Physics - Experiment; High Energy Physics - ExperimentBaryonLuminanceSpin structuresHigh Energy Physics::ExperimentMagnetic form factorMulti dimensional analysisBar (unit)Physical review letters
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Multilinear sparse decomposition for best spectral bands selection

2014

Optimal spectral bands selection is a primordial step in multispectral images based systems for face recognition. In this context, we select the best spectral bands using a multilinear sparse decomposition based approach. Multispectral images of 35 subjects presenting 25 different lengths from 480nm to 720nm and three lighting conditions: fluorescent, Halogen and Sun light are groupped in a 3-mode face tensor T of size 35x25x2 . T is then decomposed using 3-mode SVD where three mode matrices for subjects, spectral bands and illuminations are sparsely determined. The 25x25 spectral bands mode matrix defines a sparse vector for each spectral band. Spectral bands having the sparse vectors with…

Multilinear mapbusiness.industrysparseMultispectral imagePattern recognitionContext (language use)Spectral bandsSparse approximationMatrix (mathematics)TensorSingular value decompositionMBLBPMultilinearTensorArtificial intelligenceHGPPbusinessSpectral bandsMathematics
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Multivariate approximation: Theory and applications 2020

2021

A summary of the main facts about the Conference ‘Multivariate Approximation: Theory and Applications’ (MATA 2020) held at the Department of Mathematics and Computer Science of the University of Perugia (Italy), on January 16-18, 2020 and the contents of the associated Special Issue appearing on Dolomites Research Notes on Approximation, are here reported.

Multivariate approximation
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Stochastic Approximation for Multivariate and Functional Median

2010

We propose a very simple algorithm in order to estimate the geometric median, also called spatial median, of multivariate (Small (1990)) or functional data (Gervini (2008)) when the sample size is large. A simple and fast iterative approach based on the Robbins-Monro algorithm (Duflo (1997)) as well as its averaged version (Polyak and Juditsky (1992)) are shown to be effective for large samples of high dimension data. They are very fast and only require O(Nd) elementary operations, where N is the sample size and d is the dimension of data. The averaged approach is shown to be more effective and less sensitive to the tuning parameter. The ability of this new estimator to estimate accurately …

Multivariate statisticsDimension (vector space)Sample size determinationRobustness (computer science)StatisticsApplied mathematicsEstimatorGeometric medianStochastic approximationSIMPLE algorithmMathematics
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Computation of the Multivariate Oja Median

2003

The multivariate Oja median (Oja, 1983) is an affine equivariant multivariate location estimate with high efficiency. This estimate has a bounded influence function but zero breakdown. The computation of the estimate appears to be highly intensive. We consider different, exact and stochastic, algorithms for the calculation of the value of the estimate. In the stochastic algorithms, the gradient of the objective function, the rank function, is estimated by sampling observation. hyperplanes. The estimated rank function with its estimated accuracy then yields a confidence region for the true sample Oja median, and the confidence region shrinks to the sample median with the increasing number of…

Multivariate statisticsHyperplaneRank (linear algebra)Bounded functionStatisticsApplied mathematicsFunction (mathematics)Stochastic approximationTime complexityConfidence regionMathematics
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