Search results for "Numerical Analysis"

showing 10 items of 883 documents

Capturing shock waves in inelastic granular gases

2005

Shock waves in granular gases generated by hitting an obstacle at rest are treated by means of a shock capturing scheme that approximates the Euler equations of granular gas dynamics with an equation of state (EOS), introduced by Goldshtein and Shapiro [J. Fluid Mech. 282 (1995) 75-114], that takes into account the inelastic collisions of granules. We include a sink term in the energy balance to account for dissipation of the granular motion by collisional inelasticity, proposed by Haff [J. Fluid Mech. 134 (1983) 401-430], and the gravity field added as source terms. We have computed the approximate solution to a one-dimensional granular gas falling on a plate under the acceleration of grav…

Shock wavePhysicsNumerical AnalysisEquation of statePhysics and Astronomy (miscellaneous)Applied MathematicsInelastic collisionEnergy balanceGas dynamicsDissipationComputer Science ApplicationsEuler equationsComputational Mathematicssymbols.namesakeClassical mechanicsGravitational fieldModeling and SimulationsymbolsJournal of Computational Physics
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A flux-split algorithm applied to conservative models for multicomponent compressible flows

2003

In this paper we consider a conservative extension of the Euler equations for gas dynamics to describe a two-component compressible flow in Cartesian coordinates. It is well known that classical shock-capturing schemes applied to conservative models are oscillatory near the interface between the two gases. Several authors have addressed this problem proposing either a primitive consistent algorithm [J. Comput. Phys. 112 (1994) 31] or Lagrangian ingredients (Ghost Fluid Method by Fedkiw et al. [J. Comput. Phys. 152 (1999) 452] and [J. Comput. Phys. 169 (2001) 594]). We solve directly this conservative model by a flux-split algorithm, due to the first author (see [J. Comput. Phys. 125 (1996) …

Shock wavePhysicsNumerical AnalysisPhysics and Astronomy (miscellaneous)Computer simulationRichtmyer–Meshkov instabilityApplied MathematicsCompressible flowComputer Science Applicationslaw.inventionEuler equationsComputational Mathematicssymbols.namesakeMach numberlawModeling and SimulationCompressibilitysymbolsCartesian coordinate systemAlgorithmJournal of Computational Physics
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Random wave run-up with a physically-based Lagrangian shoreline model

2014

Abstract In the present paper the run-up of random waves was calculated by means of a numerical method. In situ measurements based on a video imaging technique have been used for the validation of the present numerical model. The on-site run-up measurements have been carried out at Lido Signorino beach, near Marsala, Italy,along a transect, normal to the shore. A video camera and a linear array of rods have been used to obtain field data. Numerical simulations with a 1DH Boussinesq-type of model for breaking waves which takes into account the wave run-up by means of a Lagrangian shoreline model have been carried out. In such simulations random waves of given spectrum have been propagated in…

ShoreBoussinesq numerical modelgeographygeography.geographical_feature_categoryMeteorologyNumerical analysisBreaking waveVideo cameraGeneral Medicineirregular wave run-upGeodesyirregular wave run-up; Boussinesq numerical model; shorelineRandom waveslaw.inventionSettore ICAR/01 - IdraulicaFlumesymbols.namesakeshorelinelawsymbolsTransectGeologyLagrangianEngineering(all)
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Iterative Reconstruction of Signals on Graph

2020

We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or better performance both in terms of convergence rate and computational efficiency.

Signal Processing (eess.SP)signal processing algorithmIterative methodComputer science02 engineering and technologyIterative reconstructionSettore MAT/08 - Analisi NumericaSettore MAT/05 - Analisi Matematica0202 electrical engineering electronic engineering information engineeringFOS: MathematicsFOS: Electrical engineering electronic engineering information engineeringsignal reconstructionMathematics - Numerical AnalysisElectrical and Electronic EngineeringElectrical Engineering and Systems Science - Signal ProcessingSignal reconstructionApplied Mathematics020206 networking & telecommunicationsNumerical Analysis (math.NA)Graphspectral analysisGraph theoryRate of convergenceSignal ProcessingGraph (abstract data type)Algorithmsignal processing algorithmsInterpolation
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Numerical approach for signal delay in general distributed networks

2003

The authors consider a general network with telegraph equations modelling distributed elements and having, additionally, nonlinear capacitors. A global asymptotic exponential stability of the solution is given. A simple computable upper bound of the delay time is given. Numerical examples illustrate the usefulness of the results. >

Signal delayNumerical analysisMathematical analysisTime-scale calculusLambdaUpper and lower boundslaw.inventionNonlinear capacitanceCapacitorTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESIntelligent NetworkExponential stabilityControl theorySimple (abstract algebra)lawApplied mathematicsDelay timeHardware_LOGICDESIGNMathematicsNetwork analysisVoltage[1987] NASECODE V: Proceedings of the Fifth International Conference on the Numerical Analysis of Semiconductor Devices and Integrated Circuits
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Cell-average WENO with progressive order of accuracy close to discontinuities with applications to signal processing

2020

In this paper we translate to the cell-average setting the algorithm for the point-value discretization presented in S. Amat, J. Ruiz, C.-W. Shu, D. F. Y\'a\~nez, A new WENO-2r algorithm with progressive order of accuracy close to discontinuities, submitted to SIAM J. Numer. Anal.. This new strategy tries to improve the results of WENO-($2r-1$) algorithm close to the singularities, resulting in an optimal order of accuracy at these zones. The main idea is to modify the optimal weights so that they have a nonlinear expression that depends on the position of the discontinuities. In this paper we study the application of the new algorithm to signal processing using Harten's multiresolution. Se…

Signal processing0209 industrial biotechnologyDiscretizationComputer science02 engineering and technologyClassification of discontinuitiesCell-averageMathematics::Numerical Analysis020901 industrial engineering & automationImproved adaption to discontinuitiesNew optimal weightsPosition (vector)Multiresolution schemesFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - Numerical AnalysisSignal processingWENO65D05 65D17 65M06 65N0612 MatemáticasApplied MathematicsOrder of accuracyMatemática Aplicada020206 networking & telecommunicationsNumerical Analysis (math.NA)Expression (mathematics)Computational MathematicsNonlinear systemGravitational singularityAlgorithmApplied Mathematics and Computation
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Cubic Local Splines on Non-uniform Grid

2015

In this chapter, two types of local cubic splines on non-uniform grids are described: 1. The simplest variation-diminishing splines and 2. The quasi-interpolating splines. The splines are computed by a simple fast computational algorithms that utilizes a relation between the splines and cubic interpolation polynomials. Those splines can serve as an efficient tool for real-time signal processing. As an input, they use either clean or noised arbitrarily-spaced samples. On the other hand, the capability to adapt the grid to the structure of an object and minimal requirements to the operating memory are great advantages for off-line processing of signals and multidimensional data arrays.

Signal processingBox splineRelation (database)Computer scienceMathematicsofComputing_NUMERICALANALYSISMonotone cubic interpolationGridMathematics::Numerical AnalysisComputer Science::GraphicsSimple (abstract algebra)Bicubic interpolationSpline interpolationAlgorithmComputingMethodologies_COMPUTERGRAPHICS
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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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Multidomain spectral method for the Gauss hypergeometric function

2018

International audience; We present a multidomain spectral approach for Fuchsian ordinary differential equations in the particular case of the hypergeometric equation. Our hybrid approach uses Frobenius’ method and Moebius transformations in the vicinity of each of the singular points of the hypergeometric equation, which leads to a natural decomposition of the real axis into domains. In each domain, solutions to the hypergeometric equation are constructed via the well-conditioned ultraspherical spectral method. The solutions are matched at the domain boundaries to lead to a solution which is analytic on the whole compactified real line R∪∞, except for the singular points and cuts of the Rie…

Singular differential equationsMathematics::Classical Analysis and ODEsRiemann sphere[MATH] Mathematics [math]010103 numerical & computational mathematics01 natural sciencessymbols.namesakeFOS: MathematicsHypergeometric functionMathematics - Numerical Analysis[MATH]Mathematics [math]0101 mathematicsHypergeometric functionQAMathematicsLaplace's equationApplied MathematicsRiemann surfaceMathematical analysisNumerical Analysis (math.NA)[MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA]Hypergeometric distribution010101 applied mathematicsSpectral methodsHarmonic functionOrdinary differential equationsymbolsSpectral method[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]Numerical Algorithms
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Numerical study of soliton stability, resolution and interactions in the 3D Zakharov–Kuznetsov equation

2021

International audience; We present a detailed numerical study of solutions to the Zakharov-Kuznetsov equation in three spatial dimensions. The equation is a three-dimensional generalization of the Korteweg-de Vries equation, though, not completely integrable. This equation is L-2-subcritical, and thus, solutions exist globally, for example, in the H-1 energy space.We first study stability of solitons with various perturbations in sizes and symmetry, and show asymptotic stability and formation of radiation, confirming the asymptotic stability result in Farah et al. (0000) for a larger class of initial data. We then investigate the solution behavior for different localizations and rates of de…

Soliton stabilityIntegrable systemStrong interactionSoliton resolutionSpace (mathematics)01 natural sciencesStability (probability)Zakharov-Kuznetsov equationMathematics - Analysis of PDEsExponential stabilityFOS: MathematicsMathematics - Numerical Analysis0101 mathematics[MATH]Mathematics [math]Soliton interactionMathematical physicsPhysics[PHYS]Physics [physics]Radiation010102 general mathematicsStatistical and Nonlinear PhysicsNumerical Analysis (math.NA)Condensed Matter PhysicsSymmetry (physics)Exponential function010101 applied mathematicsNonlinear Sciences::Exactly Solvable and Integrable SystemsSolitonAnalysis of PDEs (math.AP)
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