Search results for "Modeling and Simulation"

showing 10 items of 1561 documents

Weighted ENO interpolation and applications

2004

Abstract Data-dependent interpolatory techniques such as essentially non-oscillatory (ENO) technique [J. Comput. Phys. 71 (1987) 231] have long been used as a reconstruction process in multiresolution schemes. In this work we analyze the weighted ENO (WENO) technique introduced by Liu et al. in the context of conservation laws [J. Comput. Phys. 115 (1994) 200] and improved by Jiang and Shu [J. Comput. Phys. 126 (1996) 202], and apply it to the compression of images, using multiresolution techniques.

Numerical AnalysisMultiscale decompositionConservation lawDiscretizationApplied MathematicsModeling and SimulationCompression (functional analysis)Mathematical analysisApplied mathematicsContext (language use)Mathematics::Numerical AnalysisInterpolationMathematicsCommunications in Nonlinear Science and Numerical Simulation
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Multivariate exponential smoothing: A Bayesian forecast approach based on simulation

2009

This paper deals with the prediction of time series with correlated errors at each time point using a Bayesian forecast approach based on the multivariate Holt-Winters model. Assuming that each of the univariate time series comes from the univariate Holt-Winters model, all of them sharing a common structure, the multivariate Holt-Winters model can be formulated as a traditional multivariate regression model. This formulation facilitates obtaining the posterior distribution of the model parameters, which is not analytically tractable: simulation is needed. An acceptance sampling procedure is used in order to obtain a sample from this posterior distribution. Using Monte Carlo integration the …

Numerical AnalysisMultivariate statisticsGeneral Computer ScienceApplied MathematicsUnivariateMarkov chain Monte CarloTheoretical Computer ScienceNormal-Wishart distributionsymbols.namesakeUnivariate distributionModeling and SimulationStatisticssymbolsMultivariate t-distributionBayesian linear regressionGibbs samplingMathematicsMathematics and Computers in Simulation
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Corrigendum to “Fractional differential equations solved by using Mellin transform” [Commun Nonlinear Sci Numer Simul 19(7) (2014) 2220–2227]

2015

Numerical AnalysisNonlinear systemMellin transformApplied MathematicsModeling and SimulationMathematical analysisFractional differentialMathematicsCommunications in Nonlinear Science and Numerical Simulation
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Implicit analytic solutions for a nonlinear fractional partial differential beam equation

2020

Abstract Analytic solutions in implicit form are derived for a nonlinear partial differential equation (PDE) with fractional derivative elements, which can model the dynamics of a deterministically excited Euler-Bernoulli beam resting on a viscoelastic foundation. Specifically, the initial-boundary value problem for the corresponding PDE is reduced to an initial value problem for a nonlinear ordinary differential equation in a Hilbert space. Next, by employing the cosine and sine families of operators, a variation of parameters representation of the solution map is introduced. Due to the presence of a nonlinear term, a local fixed point theorem is employed to prove the local existence and u…

Numerical AnalysisPartial differential equationApplied MathematicsCosine and sine families of operatorHilbert spacePartial differential equationFractional derivativeVariation of parameters01 natural sciencesImplicit analytic solution010305 fluids & plasmasFractional calculusNonlinear systemsymbols.namesakeModeling and Simulation0103 physical sciencessymbolsPartial derivativeInitial value problemApplied mathematicsBoundary value problem010306 general physicsMathematicsNonlinear beam
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Controllability method for the Helmholtz equation with higher-order discretizations

2007

We consider a controllability technique for the numerical solution of the Helmholtz equation. The original time-harmonic equation is represented as an exact controllability problem for the time-dependent wave equation. This problem is then formulated as a least-squares optimization problem, which is solved by the conjugate gradient method. Such an approach was first suggested and developed in the 1990s by French researchers and we introduce some improvements to its practical realization. We use higher-order spectral elements for spatial discretization, which leads to high accuracy and lumped mass matrices. Higher-order approximation reduces the pollution effect associated with finite elemen…

Numerical AnalysisPartial differential equationPhysics and Astronomy (miscellaneous)Helmholtz equationApplied MathematicsMathematical analysisSpectral element methodFinite element methodComputer Science ApplicationsControllabilityakustinen sirontaComputational MathematicsMultigrid methodModeling and SimulationConjugate gradient methodSpectral methodMathematicsJournal of Computational Physics
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Monotonic solution of heterogeneous anisotropic diffusion problems

2013

Anisotropic problems arise in various areas of science and engineering, for example groundwater transport and petroleum reservoir simulations. The pure diffusive anisotropic time-dependent transport problem is solved on a finite number of nodes, that are selected inside and on the boundary of the given domain, along with possible internal boundaries connecting some of the nodes. An unstructured triangular mesh, that attains the Generalized Anisotropic Delaunay condition for all the triangle sides, is automatically generated by properly connecting all the nodes, starting from an arbitrary initial one. The control volume of each node is the closed polygon given by the union of the midpoint of…

Numerical AnalysisPhysics and Astronomy (miscellaneous)Anisotropic diffusionDelaunay triangulationApplied MathematicsMathematical analysisMonotonic functionGeometryMidpointFinite element methodComputer Science ApplicationsSettore ICAR/01 - IdraulicaComputational MathematicsModeling and SimulationPolygonTriangle meshanisotropic diffusion heterogeneous medium M-matrix Delaunay mesh affine transformation edge swapGalerkin methodComputingMethodologies_COMPUTERGRAPHICSMathematics
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Efficient numerical method for simulating static and dynamic properties of superfluid helium

2004

Density functional theory (DFT) offers computationally affordable way of describing static and dynamic properties of superfluid 4He. In general, the DFT models yield single particle-like Schrodinger equations with a nonlinear potential term that accounts for all the many-body interactions. The resulting equations can be solved for small amplitude plane wave excitations in the bulk whereas fully numerical solution must be sought in more complicated cases. In this paper we propose a numerical method that can be used in solving the time-dependent nonlinear Schrodinger equation in both real and imaginary times. The method is based on operator splitting technique where each component operator is…

Numerical AnalysisPhysics and Astronomy (miscellaneous)Applied MathematicsNumerical analysisOperator (physics)Plane waveComputer Science ApplicationsSchrödinger equationComputational Mathematicssymbols.namesakeNonlinear systemClassical mechanicsModeling and SimulationsymbolsCrank–Nicolson methodNonlinear Schrödinger equationSuperfluid helium-4MathematicsJournal of Computational Physics
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The MAST-edge centred lumped scheme for the flow simulation in variably saturated heterogeneous porous media

2012

A novel methodology is proposed for the solution of the flow equation in a variably saturated heterogeneous porous medium. The computational domain is descretized using triangular meshes and the governing PDEs are discretized using a lumped in the edge centres numerical technique. The dependent unknown variable of the problem is the piezometric head. A fractional time step methodology is applied for the solution of the original system, solving consecutively a prediction and a correction problem. A scalar potential of the flow field exists and in the prediction step a MArching in Space and Time (MAST) formulation is applied for the sequential solution of the Ordinary Differential Equation of…

Numerical AnalysisPhysics and Astronomy (miscellaneous)DiscretizationApplied MathematicsLinear systemScalar potentialGeometryFinite element methodSettore ICAR/01 - IdraulicaComputer Science ApplicationsComputational MathematicsHydraulic headRate of convergenceVariably saturated porous medium Numerical model Finite element Lumped scheme Mass conservation Unstructured mesh Analytical solutionModeling and SimulationOrdinary differential equationApplied mathematicsVariably saturated porous medium Numerical model Finite element Lumped scheme Mass conservation Unstructured mesh Analytical solutionConservation of massMathematicsJournal of Computational Physics
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Time-harmonic elasticity with controllability and higher-order discretization methods

2008

The time-harmonic solution of the linear elastic wave equation is needed for a variety of applications. The typical procedure for solving the time-harmonic elastic wave equation leads to difficulties solving large-scale indefinite linear systems. To avoid these difficulties, we consider the original time dependent equation with a method based on an exact controllability formulation. The main idea of this approach is to find initial conditions such that after one time-period, the solution and its time derivative coincide with the initial conditions.The wave equation is discretized in the space domain with spectral elements. The degrees of freedom associated with the basis functions are situa…

Numerical AnalysisPhysics and Astronomy (miscellaneous)DiscretizationApplied MathematicsMathematical analysisLinear systemWave equationComputer Science ApplicationsControllabilityComputational Mathematicssymbols.namesakeModeling and SimulationDiagonal matrixTime derivativesymbolsGaussian quadratureSpectral methodMathematics
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Solution of time-independent Schrödinger equation by the imaginary time propagation method

2007

Numerical solution of eigenvalues and eigenvectors of large matrices originating from discretization of linear and non-linear Schrodinger equations using the imaginary time propagation (ITP) method is described. Convergence properties and accuracy of 2nd and 4th order operator-splitting methods for the ITP method are studied using numerical examples. The natural convergence of the method is further accelerated with a new dynamic time step adjustment method. The results show that the ITP method has better scaling with respect to matrix size as compared to the implicitly restarted Lanczos method. An efficient parallel implementation of the ITP method for shared memory computers is also demons…

Numerical AnalysisPhysics and Astronomy (miscellaneous)DiscretizationApplied MathematicsMathematical analysisMathematicsofComputing_NUMERICALANALYSISOrder (ring theory)Computer Science::Human-Computer InteractionComputer Science ApplicationsSchrödinger equationComputational Mathematicssymbols.namesakeLanczos resamplingShared memoryModeling and SimulationConvergence (routing)symbolsScalingEigenvalues and eigenvectorsMathematicsJournal of Computational Physics
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