Search results for "Numerical Analysis"

showing 10 items of 883 documents

Discontinuous Galerkin semi-Lagrangian method for Vlasov-Poisson

2011

We present a discontinuous Galerkin scheme for the numerical approximation of the one-dimensional periodic Vlasov-Poisson equation. The scheme is based on a Galerkin-characteristics method in which the distribution function is projected onto a space of discontinuous functions. We present comparisons with a semi-Lagrangian method to emphasize the good behavior of this scheme when applied to Vlasov-Poisson test cases. Une méthode de Galerkin discontinu est proposée pour l’approximation numérique de l’équation de Vlasov-Poisson 1D. L’approche est basée sur une méthode Galerkin-caractéristiques où la fonction de distribution est projetée sur un espace de fonctions discontinues. En particulier, …

T57-57.97Applied mathematics. Quantitative methods[SPI.PLASMA]Engineering Sciences [physics]/Plasmas010103 numerical & computational mathematicsSpace (mathematics)Poisson distribution01 natural sciences010101 applied mathematicssymbols.namesakeTest caseDistribution functionNumerical approximationDiscontinuous Galerkin methodScheme (mathematics)QA1-939symbolsApplied mathematics0101 mathematicsAlgorithmMathematicsLagrangian[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]Mathematics
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Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

2019

This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHiP experiment will be able to search for new long-lived particles produced in a 400~GeV$/c$ SPS proton beam dump and which travel distances between fifty metres and tens of kilometers. The SHiP detector needs to operate under ultra-low background conditions and requires large simulated samples of muon induced background processes. Through the use of Generative Adversarial Networks it is possible to emulate the simulation of the interaction of 400~GeV$/c$ proton beams with the SHiP target, an otherwise computationally intensive process. For th…

TechnologyPhysics - Instrumentation and DetectorsProtonPhysics::Instrumentation and DetectorsComputer sciencebackground: inducedNuclear TheoryDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Simulation methods and programs01 natural sciences09 EngineeringHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]muon: momentumDetectors and Experimental TechniquesNuclear Experimentphysics.ins-detGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationInstruments & InstrumentationMathematical PhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)02 Physical Sciencesinteraction of photons with matterInstrumentation and Detectors (physics.ins-det)p: beammuon: productionDetector modelling and simulations INuclear & Particles Physicsinteraction of hadrons with matterParticle Physics - Experimentperformancedata analysis methodDetector modelling and simulations I (interaction of radiation with matterFOS: Physical sciencesAccelerator Physics and Instrumentation0103 physical sciencesnumerical methodsddc:610[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Aerospace engineering010306 general physicsnumerical calculationsetc)MuonScience & Technologyhep-ex010308 nuclear & particles physicsbusiness.industryNumerical analysisAcceleratorfysik och instrumenteringCERN SPSPhysics::Accelerator PhysicsHigh Energy Physics::ExperimentSimulation methods and programsbusinessGenerative grammar
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Diagrammatic approach to cellular automata and the emergence of form with inner structure

2018

We present a diagrammatic method to build up sophisticated cellular automata (CAs) as models of complex physical systems. The diagrams complement the mathematical approach to CA modeling, whose details are also presented here, and allow CAs in rule space to be classified according to their hierarchy of layers. Since the method is valid for any discrete operator and only depends on the alphabet size, the resulting conclusions, of general validity, apply to CAs in any dimension or order in time, arbitrary neighborhood ranges and topology. We provide several examples of the method, illustrating how it can be applied to the mathematical modeling of the emergence of order out of disorder. Specif…

Theoretical computer scienceStructure (category theory)Physical systemFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)01 natural sciences010305 fluids & plasmasOperator (computer programming)0103 physical sciences010306 general physicsTopology (chemistry)Mathematical PhysicsMathematicsComplement (set theory)Numerical AnalysisHierarchy (mathematics)Applied MathematicsCellular Automata and Lattice Gases (nlin.CG)Mathematical Physics (math-ph)Nonlinear Sciences - Pattern Formation and SolitonsCellular automatonNonlinear Sciences - Adaptation and Self-Organizing SystemsDiagrammatic reasoningModeling and SimulationAlgorithmAdaptation and Self-Organizing Systems (nlin.AO)Nonlinear Sciences - Cellular Automata and Lattice Gases
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Global extrapolation with a parallel splitting method

1992

Extrapolation with a parallel splitting method is discussed. The parallel splitting method reduces a multidimensional problem into independent one-dimensional problems and can improve the convergence order of space variables to an order as high as the regularity of the solution permits. Therefore, in order to match the convergence order of the space variables, a high order method should also be used for the time integration. Second and third order extrapolation methods are used to improve the time convergence and it was found that the higher order extrapolation method can produce a more accurate solution than the lower order extrapolation method, but the convergence order of high order extr…

Third orderUnit circleHigh Energy Physics::LatticeApplied MathematicsNumerical analysisConvergence (routing)Mathematical analysisExtrapolationSpace (mathematics)Unit squareMinimum polynomial extrapolationMathematicsNumerical Algorithms
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Fractional visco-elastic Timoshenko beam deflection via single equation

2015

SUMMARY This paper deals with the response determination of a visco-elastic Timoshenko beam under static loading condition and taking into account fractional calculus. In particular, the fractional derivative terms arise from representing constitutive behavior of the visco-elastic material. Further, taking advantages of the Mellin transform method recently developed for the solution of fractional differential equation, the problem of fractional Timoshenko beam model is assessed in time domain without invoking the Laplace-transforms as usual. Further, solution provided by the Mellin transform procedure will be compared with classical Central Difference scheme one, based on the Grunwald–Letni…

Timoshenko beam theoryNumerical AnalysisMellin transformDifferential equationDeflection (engineering)Applied MathematicsMathematical analysisGeneral EngineeringFinite differenceTime domainViscoelasticityFractional calculusMathematicsInternational Journal for Numerical Methods in Engineering
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Fractional viscoelastic beam under torsion

2017

Abstract This paper introduces a study on twisted viscoelastic beams, having considered fractional calculus to capture the viscoelastic behaviour. Further another novelty of this paper is extending a recent numerical approach, labelled line elementless method (LEM), to viscoelastic beams. The latter does not require any discretization neither in the domain nor in the boundary. Some numerical applications have been reported to demonstrate the efficiency and accuracy of the method.

TorsionNumerical AnalysisDiscretizationApplied MathematicsNumerical analysisMathematical analysisTorsion (mechanics)Viscoelasticity02 engineering and technologyFractional calculu01 natural sciencesViscoelasticityFractional calculus010101 applied mathematicsModeling and simulationAnalytic functionHarmonic polynomial020303 mechanical engineering & transports0203 mechanical engineeringModeling and SimulationViscoelastic beam0101 mathematicsNumerical AnalysiMathematicsAnalytic functionCommunications in Nonlinear Science and Numerical Simulation
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LEM for twisted re-entrant angle sections

2014

In this paper an innovative numerical method named as line element-less method, LEM, for finding solution of torsion problem has been extended to all shaped sections, including sections possessing re-entrant angles at their boundary. The response solution in terms of shear stress field or Prandtl function or warping function in all domain and for any kind of domain with arbitrary contour, may be performed quickly, calculating line integrals only. The method takes full advantage of the theory of analytic complex function and is robust in the sense that returns exact solution if this exists. Numerical implementation of LEM has been developed using Mathematica software without resorting to any…

TorsionRe-entrant angleDiscretizationMechanical EngineeringNumerical analysisMathematical analysisPrandtl numberLine integralTorsion (mechanics)GeometryStress fieldComputer Science ApplicationsStress fieldsymbols.namesakeExact solutions in general relativityModeling and SimulationShear stresssymbolsComplex potential functionGeneral Materials ScienceCivil and Structural EngineeringMathematicsComputers & Structures
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Clarkson-McCarthy inequalities with unitary and isometry orbits

2020

Abstract A refinement of a trace inequality of McCarthy establishing the uniform convexity of the Schatten p-classes for p > 2 is proved: if A , B are two n-by-n matrices, then there exists some pair of n-by-n unitary matrices U , V such that U | A + B 2 | p U ⁎ + V | A − B 2 | p V ⁎ ≤ | A | p + | B | p 2 . A similar statement holds for compact Hilbert space operators. Another improvement of McCarthy's inequality is given via the new operator parallelogramm law, | A + B | 2 ⊕ | A − B | 2 = U 0 ( | A | 2 + | B | 2 ) U 0 ⁎ + V 0 ( | A | 2 + | B | 2 ) V 0 ⁎ for some pair of 2n-by-n isometry matrices U 0 , V 0 .

Trace (linear algebra)010103 numerical & computational mathematics01 natural sciencesUnitary stateConvexityCombinatoricssymbols.namesakeOperator (computer programming)FOS: MathematicsDiscrete Mathematics and Combinatorics0101 mathematicsMathematicsMathematics::Functional AnalysisNumerical AnalysisAlgebra and Number TheoryMathematics::Operator Algebras010102 general mathematicsHilbert spaceUnitary matrixMathematics::Spectral TheoryFunctional Analysis (math.FA)Mathematics - Functional AnalysisIsometrysymbolsComputer Science::Programming LanguagesGeometry and TopologyLinear Algebra and its Applications
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Corrigendum to “Smooth and non-smooth traveling wave solutions of some generalized Camassa–Holm equations” [19 (6) (2014) 1746–1769]

2015

Corrigendum Corrigendum to ‘‘Smooth and non-smooth traveling wave solutions of some generalized Camassa–Holm equations’’ [19 (6) (2014) 1746–1769] M. Russo , S. Roy Choudhury , T. Rehman , G. Gambino b University of Central Florida, Department of Mathematics, 4000 Central Florida Blvd., Orlando, USA University of Palermo, Department of Mathematics and Computer Science, Via Archirafi 34, 90123 Palermo, Italy

Traveling waveNumerical AnalysisCamassa–Holm equationHomoclinic and heteroclinic orbitsApplied MathematicsModeling and SimulationMathematical analysisTraveling waveNon smoothGeneralized Camassa–Holm equationCommunications in Nonlinear Science and Numerical Simulation
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Corrigendum to “Regular and singular pulse and front solutions and possible isochronous behavior in the short-pulse equation: Phase-plane, multi-infi…

2022

Section 7 of the original paper contained several errors which are corrected here. Equations (54) and (55) are incorrect. In the following, the corrected versions of these equations are given and the subsequent results of Section 7 are also revised.

Traveling waveNumerical AnalysisHomoclinic and heteroclinic orbitSPE and generalized SPE equationApplied MathematicsModeling and SimulationSingular solutionVariational solitary wavesSettore MAT/07 - Fisica MatematicaCommunications in Nonlinear Science and Numerical Simulation
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