Search results for "Computer Science Applications"

showing 10 items of 3993 documents

Asymptotic preserving IMEX finite volume schemes for low Mach number Euler equations with gravitation

2017

In this paper we will present and analyze a new class of the IMEX finite volume schemes for the Euler equations with a gravity source term. We will in particular concentrate on a singular limit of weakly compressible flows when the Mach number M1. In order to efficiently resolve slow dynamics we split the whole nonlinear system in a stiff linear part governing the acoustic and gravity waves and a non-stiff nonlinear part that models nonlinear advection effects. For time discretization we use a special class of the so-called globally stiffly accurate IMEX schemes and approximate the stiff linear operator implicitly and the non-stiff nonlinear operator explicitly. For spatial discretization t…

Numerical AnalysisFinite volume methodPhysics and Astronomy (miscellaneous)DiscretizationApplied MathematicsMathematical analysis010103 numerical & computational mathematics01 natural sciencesComputer Science ApplicationsEuler equations010101 applied mathematicsLinear mapComputational Mathematicssymbols.namesakeNonlinear systemMach numberModeling and SimulationStability theorysymbolsCompressibility0101 mathematicsMathematicsJournal of Computational Physics
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A dynamic load-balancing algorithm for molecular dynamics simulation on multi-processor systems

1991

Abstract A new algorithm for dynamic load-balancing on multi-processor systems and its application to the molecular dynamics simulation of the spinodal phase separation are presented. The load-balancer is distributed among the processors and embedded in the application itself. Tests performed on a transputer network show that the load-balancer behaves almost ideally in this application. The same approach can be easily extended to different multi-processor topologies or applications.

Numerical AnalysisInterconnectionSpinodalPhysics and Astronomy (miscellaneous)Computer scienceApplied MathematicsControl reconfigurationMultiprocessingTopology (electrical circuits)Parallel computingNetwork topologyComputer Science ApplicationsDynamic simulationComputational MathematicsMolecular dynamicsModeling and SimulationJournal of Computational Physics
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Hermite interpolation: The barycentric approach

1991

The barycentric formulas for polynomial and rational Hermite interpolation are derived; an efficient algorithm for the computation of these interpolants is developed. Some new interpolation principles based on rational interpolation are discussed.

Numerical AnalysisMathematical analysisComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMathematicsofComputing_NUMERICALANALYSISTrilinear interpolationStairstep interpolationBirkhoff interpolationComputer Science ApplicationsTheoretical Computer SciencePolynomial interpolationComputational MathematicsComputational Theory and MathematicsNearest-neighbor interpolationHermite interpolationComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONApplied mathematicsSpline interpolationSoftwareComputingMethodologies_COMPUTERGRAPHICSMathematicsInterpolationComputing
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Numerically stable computation of step-sizes for descent methods. The nonconvex case

1977

The computation of step-sizes which guarantee convergence in unconstrained minimization by descent methods is considered. The use of a “control” or “range” function is highly attractive for this purpose because of its simplicity. Since the Armijo-Goldstein test may fail prematurely due to numerical instability near the minimizer, we consider a range function based on gradient values alone as has been done forg convex in [8]. Numerical algorithms are given for the computation of step-sizes whose behaviour under roundoff is shown to be benign in the sense of F. L. Bauer [5].

Numerical AnalysisMathematical optimizationComputationRegular polygonFunction (mathematics)Computer Science ApplicationsTheoretical Computer ScienceComputational MathematicsRange (mathematics)Computational Theory and MathematicsConvergence (routing)MinificationSoftwareNumerical stabilityDescent (mathematics)MathematicsComputing
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Well-balanced bicharacteristic-based scheme for multilayer shallow water flows including wet/dry fronts

2013

The aim of this paper is to present a new well-balanced finite volume scheme for two-dimensional multilayer shallow water flows including wet/dry fronts. The ideas, presented here for the two-layer model, can be generalized to a multilayer case in a straightforward way. The method developed here is constructed in the framework of the Finite Volume Evolution Galerkin (FVEG) schemes. The FVEG methods couple a finite volume formulation with evolution operators. The latter are constructed using the bicharacteristics of multidimensional hyperbolic systems. However, in the case of multilayer shallow water flows the required eigenstructure of the underlying equations is not readily available. Thus…

Numerical AnalysisMathematical optimizationFinite volume methodPhysics and Astronomy (miscellaneous)Applied MathematicsReliability (computer networking)Hyperbolic systemsComputer Science ApplicationsComputational MathematicsWaves and shallow waterModeling and SimulationScheme (mathematics)Applied mathematicsGalerkin methodMathematicsJournal of Computational Physics
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Comparison between adaptive and uniform discontinuous Galerkin simulations in dry 2D bubble experiments

2013

Accepted by the Journal of Computational Physics Adaptive mesh refinement generally aims to increase computational efficiency without compromising the accuracy of the numerical solution. However it is an open question in which regions the spatial resolution can actually be coarsened without affecting the accuracy of the result. This question is investigated for a specific example of dry atmospheric convection, namely the simulation of warm air bubbles. For this purpose a novel numerical model is developed that is tailored towards this specific application. The compressible Euler equations are solved with a Discontinuous Galerkin method. Time integration is done with an IMEXmethod and the dy…

Numerical AnalysisMathematical optimizationPhysics and Astronomy (miscellaneous)Mathematical modelAdaptive mesh refinementApplied MathematicsNumerical analysisAdaptive Mesh RefinementCompressible flowComputer Science ApplicationsEuler equationsDry Warm Air BubbleComputational Mathematicssymbols.namesakeMeteorologyIMEXDiscontinuous Galerkin methodModeling and SimulationDiscontinuous GalerkinsymbolsApplied mathematicsGalerkin methodNavier–Stokes equationsMathematicsJournal of Computational Physics
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A semi-Lagrangian AMR scheme for 2D transport problems in conservation form

2013

In this paper, we construct a semi-Lagrangian (SL) Adaptive-Mesh-Refinement (AMR) solver for 1D and 2D transport problems in conservation form. First, we describe the a-la-Harten AMR framework: the adaptation process selects a hierarchical set of grids with different resolutions depending on the features of the integrand function, using as criteria the point value prediction via interpolation from coarser meshes, and the appearance of large gradients. We integrate in time by reconstructing at the feet of the characteristics through the Point-Value Weighted Essentially Non-Oscillatory (PV-WENO) interpolator. We propose, then, an extension to the 2D setting by making the time integration dime…

Numerical AnalysisMathematical optimizationSpeedupPhysics and Astronomy (miscellaneous)Adaptive mesh refinementApplied MathematicsFunction (mathematics)SolverComputer Science ApplicationsComputational MathematicsStrang splittingModeling and SimulationApplied mathematicsPolygon meshConservation formMathematicsInterpolationJournal of Computational Physics
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GPU accelerated Monte Carlo simulation of the 2D and 3D Ising model

2009

The compute unified device architecture (CUDA) is a programming approach for performing scientific calculations on a graphics processing unit (GPU) as a data-parallel computing device. The programming interface allows to implement algorithms using extensions to standard C language. With continuously increased number of cores in combination with a high memory bandwidth, a recent GPU offers incredible resources for general purpose computing. First, we apply this new technology to Monte Carlo simulations of the two dimensional ferromagnetic square lattice Ising model. By implementing a variant of the checkerboard algorithm, results are obtained up to 60 times faster on the GPU than on a curren…

Numerical AnalysisMulti-core processorPhysics and Astronomy (miscellaneous)Computer scienceApplied MathematicsMonte Carlo methodGraphics processing unitSquare-lattice Ising modelComputer Science ApplicationsComputational scienceComputational MathematicsCUDAModeling and SimulationIsing modelStatistical physicsGeneral-purpose computing on graphics processing unitsLattice model (physics)Journal of Computational Physics
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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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