Search results for "approximation"

showing 10 items of 818 documents

Mass and energy flux estimates at different spatial resolutions in a heterogeneous area through a distributed energy-water balance model and remote s…

2012

Computed ET with the FEST-EWB model at high spatial resolution 10 m showed for the three days of analysis a mean relative error of 9.4% compared to AHS data, whereas for land surface temperature comparison a relative error of 1.6% was found. Then, LSTs from AHS and FEST-EWB were aggregated at decreasing spatial resolutions 50, 150, 300, 400, 500, 600, 750, and 1000 m, showing that the thermodynamic variability tends to disappear with a lower number of classes in the histograms and with a decrease of the coefficient of variation CV and of standard deviation values. At each scale, a similar behaviour was reported between each pair of images, with the values of standard deviation starting, res…

Scale (ratio)PixelApproximation errorHistogramCoefficient of variationGeneral Earth and Planetary SciencesEnergy fluxEnvironmental scienceImage resolutionStandard deviationRemote sensing
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Potentials with SuppressedS-Wave Phase Shift at Low Energies

1972

These results are valid for arbitrary range and depths of the potentials here studied. In spite of the fact that for the general solution we have worked only with a particular radial dependence, for .which an explicit solution for the phase shifts can be written down, it seems plausible that the results have a more general validity. With this generalization in mind, we show that for general shapes of the radial dependence, the phase shifts in Born approximation present the momentum dependence described above. The origin of our results become transparent in this Born approximation treatment. We consider a velocity dependent potential of the form 1 )

Scattering amplitudePhysicsMomentumPhysics and Astronomy (miscellaneous)ScatteringQuantum electrodynamicsQuantum mechanicsS-wavePhase (waves)Scattering lengthScattering theoryBorn approximationProgress of Theoretical Physics
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The PCHIP subdivision scheme

2016

In this paper we propose and analyze a nonlinear subdivision scheme based on the monotononicity-preserving third order Hermite-type interpolatory technique implemented in the PCHIP package in Matlab. We prove the convergence and the stability of the PCHIP nonlinear subdivision process by employing a novel technique based on the study of the generalized Jacobian of the first difference scheme. MTM2011-22741

Scheme (programming language)Generalized JacobianStability (learning theory)MathematicsofComputing_NUMERICALANALYSIS010103 numerical & computational mathematics01 natural sciencesConvergence (routing)ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION0101 mathematicsMATLABMathematicscomputer.programming_languageSubdivisionNonlinear subdivision schemesbusiness.industryApplied MathematicsProcess (computing)Approximation order010101 applied mathematicsComputational MathematicsThird orderbusinessConvergencecomputerAlgorithmStability
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A Simple Method for the Consecutive Determination of Protonation Constants through Evaluation of Formation Curves

2013

A simple method is presented for the consecutive determination of protonation constants of polyprotic acids based on their formation curves. The procedure is based on generally known equations that describe dissociation equilibria. It has been demonstrated through simulation that the values obtained through the proposed method are sufficiently consistent with the actual values. In contrast with the universally known and applied Bjerrum’s method, no differences in the accuracy of determination of subsequent protonation constant values are observed. The proposed method requires the value of one of the protonation constants (e.g., of the first one, K1) of the polyprotic acid. An iterative meth…

Science instructionpHChemistryIterative methodAcids/BasesNumerical analysisComputationThermodynamicsProtonationGeneral ChemistryequilibriumDissociation (chemistry)EducationNonlinear approximationanalytical chemistryphysical chemistryProtonation constantsecond-year undergraduatecomputer-based learningJournal of Chemical Education
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Quasi-Modes and Spectral Instability in One Dimension

2019

In this section we describe the general WKB construction of approximate “asymptotic” solutions to the ordinary differential equation $$\displaystyle P(x,hD_x)u=\sum _{k=0}^m b_k(x)(hD_x)^ku=0, $$ on an interval α < x < β, where we assume that the coefficients bk ∈ C∞(]α, β[). Here h ∈ ]0, h0] is a small parameter and we wish to solve (above equation) up to any power of h. We look for u in the form $$\displaystyle u(x;h)=a(x;h)e^{i\phi (x)/h}, $$ where ϕ ∈ C∞(]α, β[) is independent of h. The exponential factor describes the oscillations of u, and when ϕ is complex valued it also describes the exponential growth or decay; a(x;h) is the amplitude and should be of the form $$\displaystyle a(x;h…

Section (fiber bundle)PhysicsAmplitudeOrdinary differential equationDimension (graph theory)Interval (graph theory)Beta (velocity)WKB approximationMathematical physicsExponential function
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‘‘Improved’’ lattice study of semileptonic decays ofDmesons

1995

We present results of a lattice computation of the matrix elements of the vector and axial-vector currents which are relevant for the semi-leptonic decays $D \rightarrow K$ and $D \rightarrow K^*$. The computations are performed in the quenched approximation to lattice QCD on a $24^3 \times 48$ lattice at $\beta=6.2$, using an $O(a)$-improved fermionic action. In the limit of zero lepton masses the semi-leptonic decays $D \rightarrow K$ and $D \rightarrow K^*$ are described by four form factors: $f^{+}_K,V,A_1$ and $A_2$, which are functions of $q^2$, where $q^{\mu}$ is the four-momentum transferred in the process. Our results for these form factors at $q^2=0$ are: $f^+_K(0)=0.67 \er{7}{8}$…

Semileptonic decayPhysicsStatistics::TheoryParticle physicsStatistics::ApplicationsMesonHigh Energy Physics - Lattice (hep-lat)Lattice field theoryZero (complex analysis)Lattice (group)Form factor (quantum field theory)FOS: Physical sciencesFísicaQuenched approximationLattice QCDHigh Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)High Energy Physics - LatticeHigh Energy Physics::ExperimentPhysical Review D
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The Isgur-Wise function from the lattice

1995

We calculate the Isgur-Wise function by measuring the elastic scattering amplitude of a $D$ meson in the quenched approximation on a $24^3\times48$ lattice at $\beta=6.2$, using an $O(a)$-improved fermion action. Fitting the resulting chirally-extrapolated Isgur-Wise function to Stech's relativistic-oscillator parametrization, we obtain a slope parameter $\rho^2=1.2+7-3. We then use this result, in conjunction with heavy-quark symmetry, to extract $V_{cb}$\ from the experimentally measured $\bar B\to D^*l\bar\nu\,$\ differential decay width. We find $|V_{cb}|\sqrt{\tau_B/1.48{\mathrm ps}}= 0.038 +2-2 +8-3, where the first set of errors is due to experimental uncertainties, while the second …

Semileptonic decayStatistics::TheoryParticle physicsEXTRACTIONMesonFORM-FACTORSHigh Energy Physics::LatticeHadronQUARK EFFECTIVE THEORYGeneral Physics and AstronomyFOS: Physical sciencesQuenched approximationElementary particleFaculty of Science\Computer ScienceParticle decayHigh Energy Physics - LatticeHigh Energy Physics - Phenomenology (hep-ph)B-MESON DECAYSD mesonB mesonMathematical physicsPhysicsStatistics::ApplicationsHEAVY MESONSHigh Energy Physics - Lattice (hep-lat)High Energy Physics::PhenomenologyFísicaVCBQCDHigh Energy Physics - PhenomenologyWILSONHigh Energy Physics::Experiment
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Yet Another New Variant of Szász–Mirakyan Operator

2021

In this paper, we construct a new variant of the classical Szász–Mirakyan operators, Mn, which fixes the functions 1 and eax,x≥0,a∈R. For these operators, we provide a quantitative Voronovskaya-type result. The uniform weighted convergence of Mn and a direct quantitative estimate are obtained. The symmetry of the properties of the classical Szász–Mirakyan operator and of the properties of the new sequence is investigated. Our results improve and extend similar ones on this topic, established in the last decade by many authors.

SequencePure mathematicsPhysics and Astronomy (miscellaneous)weighted approximationGeneral MathematicsUniform convergenceMathematicsofComputing_GENERALEAX modeuniform convergenceExponential functionOperator (computer programming)Chemistry (miscellaneous)Convergence (routing)Computer Science (miscellaneous)QA1-939Szász–Mirakyan operatorsexponential functionsSymmetry (geometry)Yet anotherMathematicsMathematicsSymmetry
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Exploiting Numerical Behaviors in SPH.

2010

Smoothed Particle Hydrodynamics is a meshless particle method able to evaluate unknown field functions and relative differential operators. This evaluation is done by performing an integral representation based on a suitable smoothing kernel function which, in the discrete formulation, involves a set of particles scattered in the problem domain. Two fundamental aspects strongly characterizing the development of the method are the smoothing kernel function and the particle distribution. Their choice could lead to the so-called particle inconsistency problem causing a loose of accuracy in the approximation; several corrective strategies can be adopted to overcome this problem. This paper focu…

Series (mathematics)Applied MathematicsMeshless particle methodconsistency restoringfunction approximationGeneral ChemistryFunction (mathematics)smoothed particle hydrodinamics methodSmoothed-particle hydrodynamicsSettore MAT/08 - Analisi NumericaFunction approximationDistribution (mathematics)Kernel methodProblem domainCalculusApplied mathematicsparticle distributionSmoothingMathematics
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Speeding up the Consensus Clustering methodology for microarray data analysis

2010

Abstract Background The inference of the number of clusters in a dataset, a fundamental problem in Statistics, Data Analysis and Classification, is usually addressed via internal validation measures. The stated problem is quite difficult, in particular for microarrays, since the inferred prediction must be sensible enough to capture the inherent biological structure in a dataset, e.g., functionally related genes. Despite the rich literature present in that area, the identification of an internal validation measure that is both fast and precise has proved to be elusive. In order to partially fill this gap, we propose a speed-up of Consensus (Consensus Clustering), a methodology whose purpose…

Settore INF/01 - Informaticalcsh:QH426-470Computer scienceResearchApplied MathematicsStability (learning theory)InferenceApproximation algorithmcomputer.software_genreNon-negative matrix factorizationIdentification (information)lcsh:GeneticsComputingMethodologies_PATTERNRECOGNITIONComputational Theory and Mathematicslcsh:Biology (General)Structural BiologyConsensus clusteringBenchmark (computing)Data mininginternal validation measures data mining microarray data NMFCluster analysiscomputerMolecular Biologylcsh:QH301-705.5Algorithms for Molecular Biology
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