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Numerical approximations

Lagrange’s Spectral Collocation Method for Numerical Approximations of Two Dimensional Space Fractional Diffusion Equation

Lagrange’s Spectral Collocation Method for Numerical Approximations of Two Dimensional Space Fractional Diffusion Equation

... for numerical approximations of various types of fractional differential ...for numerical approximations of two-dimensional (2D) space fractional diffusion equations where spatial frac- tional ...

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Mean square numerical approximations to random periodic solutions of stochastic differential equations

Mean square numerical approximations to random periodic solutions of stochastic differential equations

... the numerical approximations to random periodic solutions of dissipative SDEs, and the proof of mean-square ...mean-square numerical ap- proximations to random periodic solutions are in fact close to ...

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Numerical Approximations of Phase Field Equations with Physics Informed Neural Networks

Numerical Approximations of Phase Field Equations with Physics Informed Neural Networks

... Designing numerical algorithms for solving partial differential equations (PDEs) is one of the major research branches in applied and computational ...on numerical approximations of other PDEs in ...

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Explicit numerical approximations for stochastic differential equations in finite and infinite horizons : truncation methods, convergence in pth moment, and stability

Explicit numerical approximations for stochastic differential equations in finite and infinite horizons : truncation methods, convergence in pth moment, and stability

... This section focuses on asymptotic stability in distribution of SDE (1.1) and the numerical approxima- tion to the invariant measures. In past decades much effort has been devoted to approximating invariant ...

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Numerical approximations of McKean anticipative backward stochastic differential equations arising in initial margin requirements*

Numerical approximations of McKean anticipative backward stochastic differential equations arising in initial margin requirements*

... R´ esum´ e. Nous introduisons une nouvelle famille d’´ equations diff´ erentielles stochastiques r´ etrogrades anticipatives ayant une d´ ependance par rapport ` a la loi de la solution, que nous appelons MKABSDE. Ces ´ ...

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Stochastic Ito Calculus and Numerical Approximations for Asset Price Forecasting in the Nigerian Stock Market

Stochastic Ito Calculus and Numerical Approximations for Asset Price Forecasting in the Nigerian Stock Market

... Predicting prices of financial assets have always been topical in finance. This conceptual paper considers the seminal paper by Black-Scholes [1], how to determine the parameters of the geometric Brownian motion, and ...

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Conceptual model of numerical approximations using sensors for radiative heat transfer in ethylene cracker furnace

Conceptual model of numerical approximations using sensors for radiative heat transfer in ethylene cracker furnace

... approximation. Numerical solutions suggest the values are set to be zero everywhere in the first iteration, and an iterative approach is required since the initial intensity is unknown ...

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Numerical approximations of first kind Volterra convolution equations with discontinuous kernels

Numerical approximations of first kind Volterra convolution equations with discontinuous kernels

... at the discontinuity and the same quadrature rule is applied on both segments. Errors in the solution are measured using the L ∞ norm of the difference between the exact and numerical solutions at the node points, ...

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Generating Numerical Approximations

Generating Numerical Approximations

... Our aim in this article is to explain formally how speakers/writers are able to produce numerical expressions with varying degrees of precision and formality. We propose a two-stage generation process, the first ...

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Numerical approximations of flow induced vibrations of vocal folds

Numerical approximations of flow induced vibrations of vocal folds

... In this paper we shall focus on addressing the proper inlet/outlet boundary conditions applicable in the case of closing of the channel due to the vocal folds vibra- tions. First, the mathematical model addressing the ...

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New Exact Solutions and Numerical Approximations of the Generalized

New Exact Solutions and Numerical Approximations of the Generalized

... method for solving nonlinear equations. The method was first suggestted by Biswas [5] and Triki et al. [56] are especially remarkable in its power and practicability [25]. Also the solitary wave ansatz method [6, 7, 62] ...

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On the Construction of Analytic Numerical Approximations for a Class of Coupled Differential Models in Engineering

On the Construction of Analytic Numerical Approximations for a Class of Coupled Differential Models in Engineering

... u x t of problem (1)-(4), see Ref. [15]. Let α , α ( ) A , M , β and L be the constant defined by (17), (26), (28), (30) and (68) respectively. Let n 0 and n 1 be positive integers satisfying conditions (43) and (40). ...

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Numerical Approximations of Average Run Length for AR(1) on Exponential CUSUM

Numerical Approximations of Average Run Length for AR(1) on Exponential CUSUM

... In this article, we study the ARLs of the CUSUM procedure when observations are from a first order autoregressive model with exponential white noise. We derive integral equations for the ARLs and then solve the equations ...

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On Linear Quadratic Approximations

On Linear Quadratic Approximations

... We have shown that the linear quadratic approach in the case of a distorted steady state proposed in Benigno and Woodford (2006) can be applied to any model. To do so, it is crucial to consider the policy problem from a ...

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On ’ best ’ rational approximations to and

On ’ best ’ rational approximations to and

... Irrationality proofs of famous irrational numbers generally give a way to compute their rational approximations. Done by contradiction, these proofs use the fact that there is no integer in a unit open interval ...

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EE 508 Lecture 11. The Approximation Problem. Classical Approximations the Chebyschev and Elliptic Approximations

EE 508 Lecture 11. The Approximation Problem. Classical Approximations the Chebyschev and Elliptic Approximations

... • Almost all emphasis placed on characteristics at single frequency (ω=0) • Transition not very steep (requires large order for steep transition). • Pole Q is quite low[r] ...

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Smooth Banach spaces and approximations

Smooth Banach spaces and approximations

... rrhe fol1owing two problems were posed by Bonic and Frampton for non- cP smooth B-spaces and they can also be acked for nonCp,q smooth B-spaces: suppose that E is non-Cp,q smooth, that F[r] ...

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Rational approximations to the zeta function

Rational approximations to the zeta function

... rational approximations to zeta might be useful for estimating the size of zeta, in the sense of the Lindel¨ of hypothesis: see for example the book of Patterson ...

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-commuting maps and invariant approximations

-commuting maps and invariant approximations

... M : d(x,u) = dist(u,M) is called the set of best approximations to u ∈ X out of M, where dist(u,M ) = inf d(y,u) : y ∈ M . Let f : M → M be a mapping. A mapping T : M → M is called an f -contraction if there ...

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Topological Approximations for Spatial Representations

Topological Approximations for Spatial Representations

... University of East London Institutional Repository http //roar uel ac uk This paper is made available online in accordance with publisher policies Please scroll down to view the document itself Please[.] ...

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