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Domain discretization and numerical integration points

Computational domain discretization in numerical analysis of flow within granular materials

Computational domain discretization in numerical analysis of flow within granular materials

... The discretization of computational domain is a crucial step in Computational Fluid Dynamics (CFD) because it influences not only the numerical stability of the analysed model but also the agreement ...

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Numerical integration of a function known only through data points

Numerical integration of a function known only through data points

... Numerical integration of a function known only through data points Suppose you are working on a project to determine the total amount of some quantity based on measurements of a ...

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A Structure-preserving numerical discretization of reversible diffusions

A Structure-preserving numerical discretization of reversible diffusions

... time discretization method, whereas our approach is based on a spatial discretization of the infinitesimal ...bounded domain Ω ⊂ R n (here: n = 2) where restriction means that Ω is chosen such the ...

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A Global Discretization Approach to Handle Numerical Attributes as Preprocessing

A Global Discretization Approach to Handle Numerical Attributes as Preprocessing

... global discretization algorithm that disposes continuous attributes as preprocessing in machine ...all numerical attributes within the original data set and replaced each of them with multiple nominal ones ...

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Discretization Numerical Data for Relational Data with One-to-Many Relations

Discretization Numerical Data for Relational Data with One-to-Many Relations

... In general, based on these experiments we can conclude that the Entropy-Instance-Based (EIB) discretization method helps one to achieve higher percentage of accuracy. This should come as no surprise, as the EIB is ...

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On structural shape optimization using an embedding domain discretization technique

On structural shape optimization using an embedding domain discretization technique

... this numerical study when employing the reorientation rather than the staircase scheme for the solution of the physical state problem throughout the course of the ...the domain update procedure at early ...

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Mortar spectral element discretization of the Stokes problem in domain with corners

Mortar spectral element discretization of the Stokes problem in domain with corners

... polygonal domain of R 2 is in general not ...a numerical analysis of the Strang and Fix algorithm by mortar spectral element methods which leads to an Inf-Sup condition on the pressure in a non-conforming ...

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Numerical Integration by Different Numerical Techniques

Numerical Integration by Different Numerical Techniques

... unequally-spaced points, then other methods such as Gaussian quadrature and Clenshaw–Curtis quadrature are generally more ...of integration for the results obtained by the above method we are finding a good ...

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The role of numerical integration in numerical homogenization*

The role of numerical integration in numerical homogenization*

... the numerical analysis of the FEM as described in the introduction, which goes back to Strang & Fix [37] and Ciarlet & Raviart [23] for linear elliptic ...For numerical homogenization methods, as we ...

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On the nonstandard numerical discretization of SIR epidemic model with a saturated incidence rate and vaccination

On the nonstandard numerical discretization of SIR epidemic model with a saturated incidence rate and vaccination

... equilibrium points of the proposed discrete NSFD model are derived and the su fficient conditions for which the equilibrium points are locally and globally stable have also been ...our numerical ...

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A Generalized Technique in Numerical Integration

A Generalized Technique in Numerical Integration

... the integration subintervals in the Staircase algorithm is ...the points cannot be spaced so far apart that a quadrature routine is incapable of providing the ...

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Geometric numerical integration for optimisation

Geometric numerical integration for optimisation

... of points where the solution map is nonsmooth has zero Lebesgue measure, assuming that the lower-level objective function is definable in the o-minimality ...

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Numerical stabilisation of motion integration

Numerical stabilisation of motion integration

... time domain ship motions is studied, in which instability arises from feed- back from implied acceleration terms in the hydrodynamic force as- sociated with the ‘added mass’ of the water surrounding the ...

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Topography discretization techniques for Godunov-type shallow water numerical models: a comparative study

Topography discretization techniques for Godunov-type shallow water numerical models: a comparative study

... Finally a third sub-case is introduced to further investigate the Hydr-Rec approach and attempting to gain insight on possible reason(s) for its poor behaviour observed previously. For this purpose, the mix-mode variants ...

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Chapter 9a: Numerical Methods for Calculus and Differential Equations. Numerical Integration Numerical Differentiation

Chapter 9a: Numerical Methods for Calculus and Differential Equations. Numerical Integration Numerical Differentiation

... Numerical differentiation is used for finding the slope of functions that are given by discrete data points, such as experimental data.. Backward Difference[r] ...

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CHAPTER 11 Numerical Differentiation and Integration

CHAPTER 11 Numerical Differentiation and Integration

... both numerical integration and numerical differentiation ...few points, find the polynomial that interpolates the function at these points, and use the derivative or integral of the ...

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A Study on Numerical Stability of Finite Difference Formulae for Numerical Differentiation and Integration

A Study on Numerical Stability of Finite Difference Formulae for Numerical Differentiation and Integration

... the discretization error goes to zero as 0 , but the round off error goes if we assume that ∆ ∆ does not ...order numerical differentiation formula through polynomials for arbitrary spaced ...of ...

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An Accurate Quadrature for the Numerical Integration of Polynomial Functions

An Accurate Quadrature for the Numerical Integration of Polynomial Functions

... the Numerical Integration of Polynomial ...The numerical integration of polynomial functions is one of the most interesting processes for numerical calculus and analyses, and represents ...

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CiteSeerX — Numerical path integration with Coulomb potential

CiteSeerX — Numerical path integration with Coulomb potential

... The basic idea is to let the path integral include only paths represented by finite Fourier series with a fixed number of terms, and to think of each such path as representing all the infinite Fourier series to which it ...

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Temporal and Pseudo-Temporal Numerical Integration Methods

Temporal and Pseudo-Temporal Numerical Integration Methods

... to steady-state. In the second phase, we establish convergence by growing our step-size while maintaining temporal stability. In the third phase, we establish asymptotic Newton convergence using the large step-size and ...

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