Search results for "Computer Science::Numerical Analysis"

showing 10 items of 32 documents

"Table 4" of "Measurement of the Cross Section for Electromagnetic Dissociation with Neutron Emission in Pb-Pb Collisions at {\surd}sNN = 2.76 TeV"

2013

Measurement of the fractions of 1neutron (1n), 2 neutrons (2n), 3 neutrons (3n) events with respect to the total number of events (Ntot) for single EMD minus mutual EMD process in Pb-Pb collisions at 2.76 TeV per nucleon.

PB PB --> 3N XInclusivePB PB --> 2N XSIG/SIG2760.0Astrophysics::High Energy Astrophysical PhenomenaPB PB --> 1N XNuclear TheoryIntegrated Cross SectionCross SectionNuclear ExperimentPB PB --> N XComputer Science::Numerical Analysis
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A Note about Eigenvalues, SVD and PCA

2013

Notes on eigen-decomposition, PCA, SVD and connexions.

PCA[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Computer Science::Computer Vision and Pattern RecognitionComputer Science::MultimediaQuantitative Biology::Populations and Evolution[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]SVDComputer Science::Numerical Analysis
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On superconvergence techniques

1987

A brief survey with a bibliography of superconvergence phenomena in finding a numerical solution of differential and integral equations is presented. A particular emphasis is laid on superconvergent schemes for elliptic problems in the plane employing the finite element method.

Partial differential equationComputer Science::Computational Engineering Finance and SciencePlane (geometry)Applied MathematicsMathematical analysisBibliographySuperconvergenceComputer Science::Numerical AnalysisIntegral equationFinite element methodDifferential (mathematics)Mathematics::Numerical AnalysisMathematicsActa Applicandae Mathematicae
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Partially Implicit Runge-Kutta Methods for Wave-Like Equations

2014

Runge-Kutta methods are used to integrate in time systems of differential equations. Implicit methods are designed to overcome numerical instabilities appearing during the evolution of a system of equations. We will present partially implicit Runge-Kutta methods for a particular structure of equations, generalization of a wave equation; the partially implicit term refers to this structure, where the implicit term appears only in a subset of the system of equations. These methods do not require any inversion of operators and the computational costs are similar to those of explicit Runge-Kutta methods. Partially implicit Runge-Kutta methods are derived up to third-order of convergence. We ana…

Physics::Computational Physics010308 nuclear & particles physicsDifferential equationMathematical analysisInversion (meteorology)010103 numerical & computational mathematicsSystem of linear equationsComputer Science::Numerical Analysis01 natural sciencesMathematics::Numerical AnalysisRunge–Kutta methods0103 physical sciences0101 mathematicsMathematics
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Rational Hermite Interpolation and Quadrature

1993

Rational Hermite interpolation is used in two different ways in order to derive and analyze quadrature rules. One approach yields quadratures of Gaussian-type whereas the other one generalizes Engels’ dual quadratures exhibiting the close connection between rational Hermite interpolation and quadrature in general.

Physics::Computational PhysicsCubic Hermite splineHermite splineChebyshev–Gauss quadratureHermite interpolationMonotone cubic interpolationApplied mathematicsBirkhoff interpolationComputer Science::Numerical AnalysisGauss–Kronrod quadrature formulaMathematics::Numerical AnalysisMathematicsClenshaw–Curtis quadrature
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Enhancement of Bremsstrahlung Radiation Generated by Electron Beam Interaction in an Axially-Oriented Scintillator Crystal (Poster)

2019

Since their discovery, scintillator materials have played an important role in nuclear and particle physics, as well as in medical and industrial imaging. [...]

Physics::Computational PhysicsMaterials sciencebusiness.industryPhysics::Instrumentation and DetectorsBremsstrahlunglcsh:AScintillatorComputer Science::Numerical AnalysisIndustrial imagingCrystalOpticsn/aCathode raylcsh:General WorksbusinessAxial symmetryProceedings
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Particle in Harmonic E-Field E ( t ) = E sin ω 0 t $$E(t)= E \sin \omega _0 t$$ ; Schwinger–Fock Proper-Time Method

2020

Since the Green’s function of a Dirac particle in an external field, which is described by a potential Aμ(x), is given by

Physics::Computational PhysicsPhysicsElectric fieldQuantum electrodynamicsDirac (software)Proper timeParticleHarmonic (mathematics)Function (mathematics)Computer Science::Numerical AnalysisOmegaFock space
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Qualitative analysis of matrix splitting methods

2001

Abstract Qualitative properties of matrix splitting methods for linear systems with tridiagonal and block tridiagonal Stieltjes-Toeplitz matrices are studied. Two particular splittings, the so-called symmetric tridiagonal splittings and the bidiagonal splittings, are considered, and conditions for qualitative properties like nonnegativity and shape preservation are shown for them. Special attention is paid to their close relation to the well-known splitting techniques like regular and weak regular splitting methods. Extensions to block tridiagonal matrices are given, and their relation to algebraic representations of domain decomposition methods is discussed. The paper is concluded with ill…

Pure mathematicsSOR methodTridiagonal matrixLinear systemBlock (permutation group theory)Tridiagonal matrix algorithmDomain decomposition methodsComputer Science::Numerical AnalysisStieltjes-Toeplitz matricesMathematics::Numerical AnalysisAlgebraComputational MathematicsQualitative analysisComputational Theory and MathematicsMatrix splittingModeling and SimulationModelling and SimulationMatrix splitting methodsRegular and weak regular splittingsDomain decompositionAlgebraic numberQualitative analysisMathematicsComputers & Mathematics with Applications
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Spectrum cartography using adaptive radial basis functions: Experimental validation

2017

In this paper, we experimentally validate the functionality of a developed algorithm for spectrum cartography using adaptive Gaussian radial basis functions (RBF). The RBF are strategically centered around representative centroid locations in a machine learning context. We assume no prior knowledge about neither the power spectral densities (PSD) of the transmitters nor their locations. Instead, the received signal power at each location is estimated as a linear combination of different RBFs. The weights of the RBFs, their Gaussian decaying parameters and locations are jointly optimized using expectation maximization with a least squares loss function and a quadratic regularizer. The perfor…

Signal processingComputer scienceGaussianCentroid020206 networking & telecommunicationsContext (language use)02 engineering and technologyComputer Science::Computational GeometryLeast squaresComputer Science::Numerical Analysissymbols.namesakeExpectation–maximization algorithm0202 electrical engineering electronic engineering information engineeringsymbolsRadial basis functionLinear combinationCartography
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On solving separable block tridiagonal linear systems using a GPU implementation of radix-4 PSCR method

2018

Partial solution variant of the cyclic reduction (PSCR) method is a direct solver that can be applied to certain types of separable block tridiagonal linear systems. Such linear systems arise, e.g., from the Poisson and the Helmholtz equations discretized with bilinear finite-elements. Furthermore, the separability of the linear system entails that the discretization domain has to be rectangular and the discretization mesh orthogonal. A generalized graphics processing unit (GPU) implementation of the PSCR method is presented. The numerical results indicate up to 24-fold speedups when compared to an equivalent CPU implementation that utilizes a single CPU core. Attained floating point perfor…

Tridiagonal linear systemsProgramvaruteknikComputer Networks and CommunicationsComputer sciencePartial solution techniquereduction010103 numerical & computational mathematicsParallel computingtietotekniikka01 natural scienceslineaariset mallitTheoretical Computer ScienceSeparable spaceinformation technologyArtificial IntelligenceSeparable block tridiagonal linear systemBlock (telecommunications)Fast direct solverRadix0101 mathematicsta113Computer Sciencesta111Linear systemSoftware EngineeringGPU computingSolverComputer Science::Numerical Analysis010101 applied mathematicsPSCR methodDatavetenskap (datalogi)partial solution techniqueHardware and ArchitectureComputer Science::Mathematical Softwarepienennyslinear modelsSoftwareRoofline modelCyclic reductionJournal of Parallel and Distributed Computing
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