Search results for "Numerical Analysis"

showing 10 items of 883 documents

"Table 1" of "Measurement of the differential cross section d\sigma/dt in elastic $p\bar{p}$ scattering at sqrt(s)=1.96 TeV"

2015

The $d\sigma$/$dt$ differential cross section. The statistical and systematic uncertainties are added in quadrature.

Physics::Computational PhysicsSingle Differential Cross SectionElasticDSIG/DT1960.0PBAR P --> PBAR PMathematics::Numerical AnalysisProton-AntiProton Elastic Differential Cross Section
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Gauss-Type Quadrature Formulae for Parabolic Splines with Equidistant Knots

2010

We construct Gauss, Lobatto, and Radau quadrature formulae associated with the spaces of parabolic splines with equidistant knots. These quadrature formulae are known to be asymptotically optimal in Sobolev spaces W p 3. Sharp estimates for the error constant in W ∞ 3 are given.

Physics::Computational PhysicsSobolev spaceAsymptotically optimal algorithmMathematical analysisGaussEquidistantConstant errorMathematics::Numerical AnalysisMathematicsQuadrature (mathematics)
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Mathematical and Numerical Analysis of Some FSI Problems

2014

In this chapter we deal with some specific existence and numerical results applied to a 2D/1D fluid–structure coupled model, for an incompressible fluid and a thin elastic structure. We will try to underline some of the mathematical and numerical difficulties that one may face when studying this kind of problems such as the geometrical nonlinearities or the added mass effect. In particular we will point out the link between the strategies of proof of weak or strong solutions and the possible algorithms to discretize these type of coupled problems.

Physics::Fluid DynamicsDiscretizationComputer scienceNumerical analysisFluid–structure interactionCompressibilityStructure (category theory)Applied mathematicsPoint (geometry)Navier–Stokes equationsAdded mass
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Simulation Software for Flow of Fluid with Suspended Point Particles in Complex Domains: Application to Matrix Diffusion

2013

Matrix diffusion is a phenomenon in which tracer particles convected along a flow channel can diffuse into porous walls of the channel, and it causes a delay and broadening of the breakthrough curve of a tracer pulse. Analytical and numerical methods exist for modeling matrix diffusion, but there are still some features of this phenomenon, which are difficult to address using traditional approaches. To this end we propose to use the lattice-Boltzmann method with point-like tracer particles. These particles move in a continuous space, are advected by the flow, and there is a stochastic force causing them to diffuse. This approach can be extended to include particle-particle and particle-wall…

Physics::Fluid DynamicsFlow (mathematics)Computer scienceNumerical analysisPoint (geometry)Domain decomposition methodsMechanicscomputer.software_genrePorositycomputerSimulationSimulation softwarePulse (physics)
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Statistical Modeling for the Flow of Short Fibers Composites

1994

Numerical results are given for the flow of fiber composites modelled as suspensions of non spherical particles. In this framework, because the many particles rotate, their state of orientation is described with a statistical approach. We used these methods to compute coupled solutions in which the orientation of the particles is affected by the flow and the flow itself depends on the orientation of the particles. The computation methods involve an augmented lagrangian approach and a streamline upwind petrov galerkin formulation to solve the convective orientation equation.

Physics::Fluid DynamicsOrientation tensorFlow (mathematics)Augmented Lagrangian methodComputationPetrov–Galerkin methodFiberComposite materialOrientation (graph theory)Hagen–Poiseuille equationMathematics::Numerical AnalysisMathematics
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Torus computed tomography

2020

We present a new computed tomography (CT) method for inverting the Radon transform in 2D. The idea relies on the geometry of the flat torus, hence we call the new method Torus CT. We prove new inversion formulas for integrable functions, solve a minimization problem associated to Tikhonov regularization in Sobolev spaces and prove that the solution operator provides an admissible regularization strategy with a quantitative stability estimate. This regularization is a simple post-processing low-pass filter for the Fourier series of a phantom. We also study the adjoint and the normal operator of the X-ray transform on the flat torus. The X-ray transform is unitary on the flat torus. We have i…

Physics::Medical PhysicsComputed tomography01 natural sciencesFourier'n sarjatintegraalilaskentamedicineFOS: MathematicstietokonetomografiaMathematics - Numerical Analysis0101 mathematicsFlat torusFourier seriesRadon transformPhysicsmedicine.diagnostic_testRadon transformApplied MathematicsMathematical analysisTorusNumerical Analysis (math.NA)65R10 65R32 44A12 42B05 46F12Fourier seriesFunctional Analysis (math.FA)regularizationMathematics - Functional Analysis010101 applied mathematicssovellettu matematiikkaRegularization (physics)numeerinen analyysiX-ray tomography
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Superconvergence phenomenon in the finite element method arising from averaging gradients

1984

We study a superconvergence phenomenon which can be obtained when solving a 2nd order elliptic problem by the usual linear elements. The averaged gradient is a piecewise linear continuous vector field, the value of which at any nodal point is an average of gradients of linear elements on triangles incident with this nodal point. The convergence rate of the averaged gradient to an exact gradient in theL 2-norm can locally be higher even by one than that of the original piecewise constant discrete gradient.

Piecewise linear functionComputational MathematicsRate of convergenceApplied MathematicsNumerical analysisMathematical analysisPiecewiseVector fieldSuperconvergenceConstant (mathematics)Finite element methodMathematicsNumerische Mathematik
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Adjoint-based inversion for porosity in shallow reservoirs using pseudo-transient solvers for non-linear hydro-mechanical processes

2020

Abstract Porous flow is of major importance in the shallow subsurface, since it directly impacts on reservoir-scale processes such as waste fluid sequestration or oil and gas exploration. Coupled and non-linear hydro-mechanical processes describe the motion of a low-viscous fluid interacting with a higher viscous porous rock matrix. This two-phase flow may trigger the initiation of solitary waves of porosity, further developing into vertical high-porosity pipes or chimneys. These preferred fluid escape features may lead to localised and fast vertical flow pathways potentially problematic in the case of for instance CO2 sequestration. Constraining the porosity and the non-linearly related pe…

PointwiseNumerical AnalysisPhysics and Astronomy (miscellaneous)Geophysical imagingApplied MathematicsFinite difference method010103 numerical & computational mathematicsMechanics01 natural sciencesPhysics::GeophysicsComputer Science ApplicationsPhysics::Fluid Dynamics010101 applied mathematicsComputational MathematicsNonlinear systemPermeability (earth sciences)Modeling and SimulationTwo-phase flow0101 mathematicsPorosityGradient descentGeologyJournal of Computational Physics
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An Approximating-Interpolatory Subdivision Scheme.

2011

International audience; In the last decade, study and construction of quad/triangle subdivision schemes have attracted attention. The quad/triangle subdivision starts with a control mesh consisting of both quads and triangles and produces ner and ner meshes with quads and triangles (Fig. 1). Design- ers often want to model certain regions with quad meshes and others with triangle meshes to get better visual qual- ity of subdivision surfaces. Smoothness analysis tools exist for regular quad/triangle vertices. Moreover C1 and C2 quad/triangle schemes (for regular vertices) have been con- structed. But to our knowledge, there are no quad/triangle schemes that uni es approximating and interpola…

Polynomial generationComputer Science::GraphicsNumerical analysis Computer science[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]Mathematics::Analysis of PDEsSubdivision[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR]Computer Science::Computational GeometryQuad/triangle SubdivisionQuasi-interpolants[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
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A computational approximation for the solution of retarded functional differential equations and their applications to science and engineering

2021

<p style='text-indent:20px;'>Delay differential equations are of great importance in science, engineering, medicine and biological models. These type of models include time delay phenomena which is helpful for characterising the real-world applications in machine learning, mechanics, economics, electrodynamics and so on. Besides, special classes of functional differential equations have been investigated in many researches. In this study, a numerical investigation of retarded type of these models together with initial conditions are introduced. The technique is based on a polynomial approach along with collocation points which maintains an approximated solutions to the problem. Beside…

PolynomialControl and OptimizationCollocationDifferential equationApplied MathematicsStrategy and ManagementScience and engineeringDelay differential equationNumerical Analysis (math.NA)Type (model theory)Atomic and Molecular Physics and OpticsError analysisFOS: Mathematics34K40 33C45 40C05 65L60 65G50Applied mathematicsMathematics - Numerical AnalysisBusiness and International ManagementElectrical and Electronic EngineeringMatrix methodMathematics
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