Search results for "numerical analysis"

showing 10 items of 883 documents

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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Constructing adaptive generalized polynomial chaos method to measure the uncertainty in continuous models: A computational approach

2015

Due to errors in measurements and inherent variability in the quantities of interest, models based on random differential equations give more realistic results than their deterministic counterpart. The generalized polynomial chaos (gPC) is a powerful technique used to approximate the solution of these equations when the random inputs follow standard probability distributions. But in many cases these random inputs do not have a standard probability distribution. In this paper, we present a step-by-step constructive methodology to implement directly a useful version of adaptive gPC for arbitrary distributions, extending the applicability of the gPC. The paper mainly focuses on the computation…

Numerical AnalysisMathematical optimizationPolynomial chaosGeneral Computer ScienceDifferential equationApplied MathematicsComputingConstructiveMeasure (mathematics)Theoretical Computer ScienceCHAOS (operating system)Generalized polynomialRandom differential equationsModeling and SimulationConvergence (routing)Applied mathematicsProbability distributionMATEMATICA APLICADAAdaptive polynomial chaosMathematics
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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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Padé approximants and the prediction of non-perturbative parameters in particle physics

2010

Conference on Approximation and extrapolation of Convergent and Divergent Sequences and Series Luminy, FRANCE, SEP 28-OCT 02, 2009

Numerical AnalysisMathematics::Complex VariablesApplied MathematicsStrong interactionsConnection (mathematics)Computational MathematicsPadé approximants1/NC expansionCalculusPadé approximantApplied mathematicsNon-perturbativeMeromorphic functionMathematicsApplied Numerical Mathematics
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Fractional differential equations solved by using Mellin transform

2014

In this paper, the solution of the multi-order differential equations, by using Mellin Transform, is proposed. It is shown that the problem related to the shift of the real part of the argument of the transformed function, arising when the Mellin integral operates on the fractional derivatives, may be overcame. Then, the solution may be found for any fractional differential equation involving multi-order fractional derivatives (or integrals). The solution is found in the Mellin domain, by solving a linear set of algebraic equations, whose inverse transform gives the solution of the fractional differential equation at hands.

Numerical AnalysisMellin transformApplied MathematicsMathematical analysisRamanujan's master theoremIntegral equationFractional differential equationFractional calculusWiener–Hopf methodsymbols.namesakeMathematics - Analysis of PDEsSelf-similarity of inverse Mellin transform.Modeling and SimulationLaplace transform applied to differential equationssymbolsMellin inversion theoremFOS: MathematicsTwo-sided Laplace transformMellin transformMathematicsAnalysis of PDEs (math.AP)
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Mellin transform approach for the solution of coupled systems of fractional differential equations

2015

In this paper, the solution of a multi-order, multi-degree-of-freedom fractional differential equation is addressed by using the Mellin integral transform. By taking advantage of a technique that relates the transformed function, in points of the complex plane differing in the value of their real part, the solution is found in the Mellin domain by solving a linear set of algebraic equations. The approximate solution of the differential (or integral) equation is restored, in the time domain, by using the inverse Mellin transform in its discretized form.

Numerical AnalysisMellin transformLaplace transformApplied MathematicsMathematical analysisMulti degree of freedom systemsRamanujan's master theoremIntegral equationFractional differential equationWiener–Hopf methodsymbols.namesakeModeling and SimulationLaplace transform applied to differential equationsComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONsymbolsMellin inversion theoremTwo-sided Laplace transformMellin transformMathematicsCommunications in Nonlinear Science and Numerical Simulation
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Mesoscopic aspects of the computational homogenization with meshless modeling for masonry material

2020

The multiscale homogenization scheme is becoming a diffused tool for the analysis of heterogeneous materials as masonry since it allows dealing with the complexity of formulating closed-form constitutive laws by retrieving the material response from the solution of a unit cell (UC) boundary value problem (BVP). The robustness of multiscale simulations depends on the robustness of the nested macroscopic and mesoscopic models. In this study, specific attention is paid to the meshless solution of the UC BVP under plane stress conditions, comparing performances related to the application of linear displacement or periodic boundary conditions (BCs). The effect of the geometry of the UC is also i…

Numerical AnalysisMesoscopic physicsMaterials sciencebusiness.industryApplied MathematicsGeneral EngineeringPeriodic boundary conditionsMechanicsMasonryComputational homogenization masonry meshless meso-modeling periodic boundary conditionsbusinessSettore ICAR/08 - Scienza Delle CostruzioniHomogenization (chemistry)
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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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Gradings on the algebra of upper triangular matrices of size three

2013

Abstract Let UT 3 ( F ) be the algebra of 3 × 3 upper triangular matrices over a field F . On UT 3 ( F ) , up to isomorphism, there are at most five non-trivial elementary gradings and we study the graded polynomial identities for such gradings. In case F is of characteristic zero we give a complete description of the space of multilinear graded identities in the language of Young diagrams through the representation theory of a Young subgroup of S n . We finally compute the multiplicities in the graded cocharacter sequence for every elementary G -grading on UT 3 ( F ) .

Numerical AnalysisMultilinear mapPolynomialAlgebra and Number TheoryMathematics::Commutative AlgebraMathematics::Rings and AlgebrasZero (complex analysis)Triangular matrixField (mathematics)Representation theorypolynomial identity G-graded algebras cocharacters graded ideals of identitiesCombinatoricsAlgebraSettore MAT/02 - AlgebraDifferential graded algebraDiscrete Mathematics and CombinatoricsGeometry and TopologyIsomorphismComputer Science::Information TheoryMathematics
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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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