Results 11 to 20 of about 165 (159)
Serum bile acids as a prognostic biomarker in biliary atresia following Kasai portoenterostomy
Serum bile acid levels predict outcomes in patients with biliary atresia who achieve normalized bilirubin levels after Kasai portoenterostomy. Abstract Background and Aims In biliary atresia, serum bilirubin is commonly used to predict outcomes after Kasai portoenterostomy (KP).
Sanjiv Harpavat +22 more
wiley +1 more source
We consider a dam-water system modeled as a fluid-structure interaction, specifically, a coupled hyperbolic second-order problem, formulated in terms of the displacement of the structure and the fluid pressure.
Ricardo Faria +2 more
doaj +1 more source
Numerical identification of a nonlinear diffusion coefficient by discrete mollification
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Mejía, Carlos E. +2 more
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Discrete stability analysis of the mollification method for numerical differentiation
A numerical differentiation procedure is proposed based on discrete mollification. Numerical stability is proved and error analysis of the numerical procedure is presented. An example is considered of a function identification problem in transient heat conduction.
Murio, D.A., Guo, L.
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Stabilization of explicit methods for convection diffusion equations by discrete mollification
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Acosta, Carlos D., Mejía, Carlos E.
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Numerical identification of diffusivity coefficient and initial condition by discrete mollification
Two inverse problems for parabolic equations are formulated in which the coefficient \(a(x, t)\) and the initial condition \(u(x, 0)\) have to be identified simultaneously under the assumption that the measurements are given at the active boundary only.
Mejía, C.E., Murio, D.A.
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Automatic numerical solution of generalized 2-D IHCP by discrete mollification
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Zhan, Shenghe, Coles, C., Murio, D.A.
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Efficient parameter estimation in a macroscopic traffic flow model by discrete mollification
Our concern is the numerical identification of traffic flow parameters in a macroscopic one-dimensional model whose governing equation is strongly degenerate parabolic. The unknown parameters determine the flux and the diffusion terms. The parameters are estimated by repeatedly solving the corresponding direct problem under variation of the parameter ...
Acosta, CD, Burger R, Mejia, CE
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Automatic numerical differentiation by discrete mollification
The author gives a method to estimate the derivative based on attempting to reconstruct a modified version of the derivative. This approach was first introduced by \textit{V. V. Vasin} [Zh. Vychisl. Mat. Mat. Fiz. 13, 1383-1389 (1973; Zbl 0306.65007)].
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Discrete mollification is a versatile convolution based filtering procedure for the regularization of ill-posed problems and the stabilization of explicit schemes for the solution of partial differential equations. While introducing one- and two-dimensional discrete mollification formulae, the authors propose two schemes, which are based on direction ...
Acosta, Carlos D., Buerger, Raimund
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