We introduce radial basis functions (RBFs) whose time-varying coefficients determine not only the amplitude and position of each RBF but also their shape.
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Jan 2, 2024 · Radial basis function methods are powerful tools in numerical analysis and have demonstrated good properties in many different simulations.
We introduce radial basis functions (RBFs) whose time-varying coefficients determine not only the amplitude and position of each RBF but also their shape.
We introduce radial basis functions (RBFs) whose time-varying coefficients determine not only the amplitude and position of each RBF but also their shape.
In this paper, we estimate the dynamic parameters of a time-varying coefficient model through radial kernel functions in the context of a longitudinal study ...
Abstract. Radial basis function (RBF) methods have shown the potential to be a universal grid free method for the numerical solution of partial differential ...
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Oct 27, 2021 · We derive stability estimates for three commonly used radial basis function (RBF) methods to solve hyperbolic time-dependent PDEs: the RBF ...
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Sums of radial basis functions are typically used to approximate given functions. This approximation process can also be interpreted as a simple kind of neural ...
Feb 27, 2021 · Abstract:In this paper we estimate the dynamic parameters of a time-varying coefficient model through radial kernel functions in the context ...
Dec 28, 2022 · PDF | The Radial Basis Function-Finite Difference (RBF-FD) method is a mesh-less method for discretizing differential operators in ordinary ...