Search results for "Hermite polynomial"

showing 10 items of 23 documents

High-order regularization in lattice-Boltzmann equations

2017

A lattice-Boltzmann equation (LBE) is the discrete counterpart of a continuous kinetic model. It can be derived using a Hermite polynomial expansion for the velocity distribution function. Since LBEs are characterized by discrete, finite representations of the microscopic velocity space, the expansion must be truncated and the appropriate order of truncation depends on the hydrodynamic problem under investigation. Here we consider a particular truncation where the non-equilibrium distribution is expanded on a par with the equilibrium distribution, except that the diffusive parts of high-order nonequilibrium moments are filtered, i.e., only the corresponding advective parts are retained afte…

Shock waverecurrence relationspolynomialsComputational MechanicsLattice Boltzmann methods114 Physical sciences01 natural sciences010305 fluids & plasmassubspaces0103 physical sciences010306 general physicsFluid Flow and Transfer ProcessesPhysicstensor methods: shock tubesHermite polynomialsRecurrence relationta114AdvectionMechanical EngineeringpolynomitMathematical analysisCondensed Matter PhysicsDistribution functionMechanics of MaterialsRegularization (physics)shock tubes [tensor methods]Shear flowPhysics of Fluids
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Interpolation and approximation in L2(γ)

2007

Assume a standard Brownian motion W=(W"t)"t"@?"["0","1"], a Borel function f:R->R such that f(W"1)@?L"2, and the standard Gaussian measure @c on the real line. We characterize that f belongs to the Besov space B"2","q^@q(@c)@?(L"2(@c),D"1","2(@c))"@q","q, obtained via the real interpolation method, by the behavior of a"X(f(X"1);@t)@[email protected]?f(W"1)-P"X^@tf(W"1)@?"L"""2, where @t=(t"i)"i"="0^n is a deterministic time net and P"X^@t:L"2->L"2 the orthogonal projection onto a subspace of 'discrete' stochastic integrals x"[email protected]?"i"="1^nv"i"-"1(X"t"""i-X"t"""i"""-"""1) with X being the Brownian motion or the geometric Brownian motion. By using Hermite polynomial expansions the…

Discrete mathematicsNumerical AnalysisHermite polynomialsGeneric propertyApplied MathematicsGeneral MathematicsLinear equation over a ringGaussian measuresymbols.namesakeWiener processsymbolsBesov spaceMartingale (probability theory)Real lineAnalysisMathematicsJournal of Approximation Theory
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Type I optical parametric oscillators above threshold are perfect squeezers for empty gauss-hermite modes at any pumping level

2007

A type I optical parametric oscillator pumped by a Gaussian beam above threshold and tuned to its first transverse mode family is shown to yield a perfectly squeezed, empty Gauss-Hermite mode at any pumping level.

Quantum opticsPhysicsHermite polynomialsQuantum mechanicsQuantum noiseOptical parametric oscillatorPhysics::OpticsQuantum fluctuationParametric statisticsTransverse modeGaussian beam
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Error analysis of the orthogonal series solution of linear time-invariant systems

1989

Similarities in the error analysis of the polynomial series solution of linear time-invariant systems are pointed out.

Hermite polynomialsMathematical analysisLinear systemComputer Science ApplicationsTheoretical Computer ScienceOrthogonal seriesLTI system theoryControl and Systems EngineeringError analysisOrthogonal polynomialsApplied mathematicsPolynomial seriesLegendre polynomialsMathematicsInternational Journal of Systems Science
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Quantizations from reproducing kernel spaces

2012

Abstract The purpose of this work is to explore the existence and properties of reproducing kernel Hilbert subspaces of L 2 ( C , d 2 z / π ) based on subsets of complex Hermite polynomials. The resulting coherent states (CS) form a family depending on a nonnegative parameter s . We examine some interesting issues, mainly related to CS quantization, like the existence of the usual harmonic oscillator spectrum despite the absence of canonical commutation rules. The question of mathematical and physical equivalences between the s -dependent quantizations is also considered.

[PHYS]Physics [physics]PhysicsPure mathematicsHermite polynomials010102 general mathematicsSpectrum (functional analysis)FOS: Physical sciencesGeneral Physics and AstronomyMathematical Physics (math-ph)coherent states16. Peace & justice01 natural sciencesLinear subspaceQuantization (physics)Kernel (statistics)0103 physical sciencesCoherent statesCommutation0101 mathematics[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]010306 general physicsSettore MAT/07 - Fisica MatematicaMathematical PhysicsComputingMilieux_MISCELLANEOUSHarmonic oscillatorAnnals of Physics
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Third-order accurate monotone cubic Hermite interpolants

2019

Abstract Monotonicity-preserving interpolants are used in several applications as engineering or computer aided design. In last years some new techniques have been developed. In particular, in Arandiga (2013) some new methods to design monotone cubic Hermite interpolants for uniform and non-uniform grids are presented and analyzed. They consist on calculating the derivative values introducing the weighted harmonic mean and a non-linear variation. With these changes, the methods obtained are third-order accurate, except in extreme situations. In this paper, a new general mean is used and a third-order interpolant for all cases is gained. We perform several experiments comparing the known tec…

Hermite polynomialsApplied MathematicsHarmonic meanDerivativeFunction (mathematics)computer.software_genreThird orderMonotone polygonComputer Aided DesignApplied mathematicsMATLABcomputercomputer.programming_languageMathematicsApplied Mathematics Letters
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Using the Hermite Regression Algorithm to Improve the Generalization Capability of a Neural Network

1999

In this paper it is shown that the ability of classification and the ability of approximating a function are correlated to the value (in the training points) of the gradient of the output function learned by the network.

Hermite polynomialsArtificial neural networkbusiness.industryGeneralizationComputer scienceValue (computer science)Pattern recognitionArtificial intelligenceFunction (mathematics)Regression algorithmbusiness
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Indefinite integrals for some orthogonal polynomials obtained using integrating factors

2020

A method has been presented recently for deriving integrals of special functions using two kinds of integrating factor for the homogeneous second-order linear differential equations which many spec...

Hermite polynomialsGegenbauer polynomialsDifferential equationApplied Mathematics010102 general mathematics010103 numerical & computational mathematics01 natural sciencesIntegrating factorVDP::Teknologi: 500Linear differential equationSpecial functionsOrthogonal polynomialsLaguerre polynomialsApplied mathematics0101 mathematicsAnalysisMathematicsIntegral Transforms and Special Functions
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Estimation of ordered response models with sample selection

2011

We introduce two new Stata commands for the estimation of an ordered response model with sample selection. The opsel command uses a standard maximum-likelihood approach to fit a parametric specification of the model where errors are assumed to follow a bivariate Gaussian distribution. The snpopsel command uses the semi-nonparametric approach of Gallant and Nychka (1987, Econometrica 55: 363–390) to fit a semiparametric specification of the model where the bivariate density function of the errors is approximated by a Hermite polynomial expansion. The snpopsel command extends the set of Stata routines for semi-nonparametric estimation of discrete response models. Compared to the other semi-n…

EstimationSample selectionHermite polynomialsResponse modelComputer scienceEstimatorSettore SECS-P/05 - EconometriaProbability density functionBivariate analysisst0226 opsel opsel postestimation sneop sneop postestimation snp2 snp2 postestimation snp2s snp2s postestimation snpopsel snpopsel postestimation snp snp postestimation ordered response models sample selection parametric maximum-likelihood estimation semi-nonparametric estimationSet (abstract data type)Mathematics (miscellaneous)StatisticsSettore SECS-P/01 - Economia PoliticaAlgorithmMathematicsParametric statistics
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Products of Bessel functions and associated polynomials

2013

The symbolic method is used to get explicit formulae for the products or powers of Bessel functions and for the relevant integrals.

Hermite polynomialsCylindrical harmonicsHermite polynomialsBessel processUmbral calculuApplied MathematicsFOS: Physical sciencesMathematical Physics (math-ph)Bessel functionsClassical orthogonal polynomialsAlgebraComputational Mathematicssymbols.namesakeHermite polynomialComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONBessel polynomialsStruve functionsymbolsJacobi polynomialsHermite polynomials;Umbral calculus;Bessel functionsBessel functions; Hermite polynomials; Umbral calculus; Applied Mathematics; Computational MathematicsUmbral calculusMathematical PhysicsBessel functionMathematicsApplied Mathematics and Computation
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