Search results for "partial differential equation"

showing 10 items of 326 documents

Adaptive mesh refinement techniques for high-order shock capturing schemes for multi-dimensional hydrodynamic simulations

2006

The numerical simulation of physical phenomena represented by non-linear hyperbolic systems of conservation laws presents specific difficulties mainly due to the presence of discontinuities in the solution. State of the art methods for the solution of such equations involve high resolution shock capturing schemes, which are able to produce sharp profiles at the discontinuities and high accuracy in smooth regions, together with some kind of grid adaption, which reduces the computational cost by using finer grids near the discontinuities and coarser grids in smooth regions. The combination of both techniques presents intrinsic numerical and programming difficulties. In this work we present a …

Conservation lawPartial differential equationComputer simulationbusiness.industryAdaptive mesh refinementApplied MathematicsMechanical EngineeringComputational MechanicsComputational fluid dynamicsGridComputer Science ApplicationsNonlinear systemMechanics of MaterialsMesh generationbusinessAlgorithmMathematicsInternational Journal for Numerical Methods in Fluids
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Flux-gradient and source-term balancing for certain high resolution shock-capturing schemes

2009

Abstract We present an extension of Marquina’s flux formula, as introduced in Fedkiw et al. [Fedkiw RP, Merriman B, Donat R, Osher S. The penultimate scheme for systems of conservation laws: finite difference ENO with Marquina’s flux splitting. In: Hafez M, editor. Progress in numerical solutions of partial differential equations, Arcachon, France; July 1998], for the shallow water system. We show that the use of two different Jacobians at cell interfaces prevents the scheme from satisfying the exact C -property [Bermudez A, Vazquez ME. Upwind methods for hyperbolic conservation laws with source terms. Comput Fluids 1994;23(8):1049–71] while the approximate C -property is satisfied for high…

Conservation lawPartial differential equationGeneral Computer ScienceGeneral EngineeringFinite differenceFluxGeometryTerm (logic)symbols.namesakeScheme (mathematics)Jacobian matrix and determinantsymbolsOrder (group theory)Applied mathematicsMathematicsComputers & Fluids
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Flotation with sedimentation: Steady states and numerical simulation of transient operation

2020

Abstract A spatially one-dimensional model of the hydrodynamics of a flotation column is based on one continuous phase, the fluid, and two disperse phases: the aggregates, that is, bubbles with attached hydrophobic valuable particles, and the solid particles that form the gangue. A common feed inlet for slurry mixture and gas is considered and the bubbles are assumed to be fully aggregated with hydrophobic particles as they enter the column. The conservation law of the three phases yields a model expressed as a system of partial differential equations where the nonlinear constitutive flux functions come from the drift-flux and solids-flux theories. In addition, the total flux functions are …

Conservation lawPartial differential equationMaterials scienceComputer simulationSedimentation (water treatment)Mechanical EngineeringNumerical analysis02 engineering and technologyGeneral ChemistryMechanics010501 environmental sciencesGeotechnical Engineering and Engineering Geology01 natural sciences020501 mining & metallurgyPhysics::Fluid DynamicsNonlinear system0205 materials engineeringControl and Systems EngineeringSlurryFroth flotation0105 earth and related environmental sciencesMinerals Engineering
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A Polynomial Approach to the Piecewise Hyperbolic Method

2003

In this paper, a local (third-order accurate) shock capturing method for hyperbolic conservation laws is presented. The method has been made with the same idea as the PHM method, but with a simpler reconstruction. A comparison with the classic high order methods is discussed.

Conservation lawPolynomialMechanical EngineeringHyperbolic functionMathematical analysisComputational MechanicsEnergy Engineering and Power TechnologyAerospace EngineeringCondensed Matter PhysicsMechanics of MaterialsShock capturing methodPiecewiseHigh orderHyperbolic partial differential equationMathematicsInternational Journal of Computational Fluid Dynamics
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The exact finite‐difference scheme for vector boundary‐value problems with piece‐wise constant coefficients

1998

We will consider the exact finite‐difference scheme for solving the system of differential equations of second order with piece‐wise constant coefficients. It is well‐known, that the presence of large parameters at first order derivatives or small parameters at second order derivatives in the system of hydrodynamics and magnetohydrodynamics (MHD) equations (large Reynolds, Hartmann and others numbers) causes additional difficulties for the applications of general classical numerical methods. Thus, important to work out special methods of solution, the so‐called uniform converging computational methods. This gives a basis for the development of special monotone finite vector‐difference schem…

Constant coefficientsPartial differential equationDifferential equationNumerical analysisMathematical analysisOrder of accuracy-Modeling and SimulationQA1-939PiecewiseBoundary value problemMathematicsAnalysisMathematicsNumerical partial differential equationsMathematical Modelling and Analysis
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The edge-of-the-wedge theorem for systems of constant coefficient partial differential operators. I

1988

On demontre des resultats sur l'extendabilite holomorphe des fonctions holomorphes definies sur deux coins ou plus et pour lesquelles la somme des valeurs limites s'annulent

Constant coefficientsPartial differential equationGeneral MathematicsMathematical analysisHolomorphic functionPartial derivativeEdge-of-the-wedge theoremMathematicsMathematische Annalen
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Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters

2020

[EN] In spite of its simple formulation via a nonlinear differential equation, the Gompertz model has been widely applied to describe the dynamics of biological and biophysical parts of complex systems (growth of living organisms, number of bacteria, volume of infected cells, etc.). Its parameters or coefficients and the initial condition represent biological quantities (usually, rates and number of individual/particles, respectively) whose nature is random rather than deterministic. In this paper, we present a complete uncertainty quantification analysis of the randomized Gomperz model via the computation of an explicit expression to the first probability density function of its solution s…

Continuity partial differential equationStationary distributionDynamical systems theoryStochastic processGeneral MathematicsApplied MathematicsGompertz functionProbabilistic logicGeneral Physics and AstronomyStatistical and Nonlinear PhysicsProbability density function01 natural sciences010305 fluids & plasmasComplex systems with uncertainties0103 physical sciencesLiouville-Gibbs theoremApplied mathematicsInitial value problemUncertainty quantificationRandom nonlinear differential equationMATEMATICA APLICADA010301 acousticsMathematicsRandomized Gompertz model
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The interrelation between stochastic differential inclusions and set-valued stochastic differential equations

2013

Abstract In this paper we connect the well established theory of stochastic differential inclusions with a new theory of set-valued stochastic differential equations. Solutions to the latter equations are understood as continuous mappings taking on their values in the hyperspace of nonempty, bounded, convex and closed subsets of the space L 2 consisting of square integrable random vectors. We show that for the solution X to a set-valued stochastic differential equation corresponding to a stochastic differential inclusion, there exists a solution x for this inclusion that is a ‖ ⋅ ‖ L 2 -continuous selection of X . This result enables us to draw inferences about the reachable sets of solutio…

Continuous-time stochastic processApplied MathematicsMathematical analysisStochastic calculusMalliavin calculusStochastic partial differential equationsymbols.namesakeStochastic differential equationDifferential inclusionRunge–Kutta methodsymbolsApplied mathematicsAnalysisMathematicsAlgebraic differential equationJournal of Mathematical Analysis and Applications
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Ambit processes and stochastic partial differential equations

2011

Ambit processes are general stochastic processes based on stochastic integrals with respect to Levy bases. Due to their flexible structure, they have great potential for providing realistic models for various applications such as in turbulence and finance. This papers studies the connection between ambit processes and solutions to stochastic partial differential equations. We investigate this relationship from two angles: from the Walsh theory of martingale measures and from the viewpoint of the Levy noise analysis.

Continuous-time stochastic processwhite noise analysisambit processesstochastic partial differential equationsStochastic modellingMathematical analysisStochastic calculusMalliavin calculusStochastic partial differential equationStochastic differential equationmartingale measuresMathematics::ProbabilityLocal martingaleLévy basesApplied mathematicsMartingale (probability theory)Mathematics
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Discretization estimates for an elliptic control problem

1998

An optimal control problem governed by an elliptic equation written in variational form in an abstract functional framework is considered. The control is subject to restrictions. The optimality conditions are established and the Ritz-Galerkin discretization is introduced. If the error estimate corresponding to the elliptic equation is given as a function like where h is the discretization parameter and is an integer, then the error estimates for the optimal control, for the optimal state and for the optimal value are obtained. These results are applied first for a Two-Point BVP and next for a 2D/3D elliptic problem as state equation. Next a spectral method is used in the discretization proc…

Control and OptimizationPartial differential equationDiscretizationMathematical analysisOptimal controlFinite element methodComputer Science ApplicationsElliptic curveSignal ProcessingCalculus of variationsSpectral methodAnalysisMathematicsDiscretization of continuous featuresNumerical Functional Analysis and Optimization
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