Results 21 to 30 of about 57,420 (165)
The Quasi-Optimal Radial Basis Function Collocation Method: A Technical Note
Journal of Mathematics, 2021 The traditional radial basis function parameter controls the flatness of these functions and influences the precision and stability of approximation solution.
Juan Zhang +3 more
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Approximation of Offset Surfaces Using Generalized Wendland Radial Basis Functions
MathematicsWe introduce a new methodological approach for the approximation of generalized offset surfaces using smoothing radial basis functions (RBFs).
Loubna Omri +3 more
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Entropy, 2022 This paper introduces a direct method derived from the global radial basis function (RBF) interpolation over arbitrary collocation nodes occurring in variational problems involving functionals that depend on functions of a number of independent variables.
Ahmad Golbabai +2 more
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Application of Radial Basis Functions for Height Datum Unification
Geosciences, 2018 Local gravity field modelling demands high-quality gravity data as well as an appropriate mathematical model. Particularly in coastal areas, there may be different types of gravity observations available, for instance, terrestrial, aerial, marine gravity,
Ismael Foroughi +3 more
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ComputationIn the realm of cardiac health research, accurate fluid dynamics simulations are vital for comprehending the heart function and diagnosing conditions. Central to these simulations is the precision of ventricular wall meshes used to model heart geometry ...
Carlotta Fontana, Nicola Cappetti
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A Multiscale RBF Collocation Method for the Numerical Solution of Partial Differential Equations
Mathematics, 2019 In this paper, we derive and discuss the hierarchical radial basis functions method for the approximation to Sobolev functions and the collocation to well-posed linear partial differential equations.
Zhiyong Liu, Qiuyan Xu
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REM: International Engineering JournalRadial basis functions can be used as an alternative method for mineral resource estimation when ordinary kriging cannot be done because it is impossible to calculate an experimental variogram.
Taís Celestino dos Santos +1 more
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Química Nova, 2001 Neural Networks are a set of mathematical methods and computer programs designed to simulate the information process and the knowledge acquisition of the human brain. In last years its application in chemistry is increasing significantly, due the special
Eduardo O. de Cerqueira +3 more
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A novel approach based on minimization for numerical solutions of Burgers’ equation
Partial Differential Equations in Applied MathematicsThis paper deals with the numerical solution of Burgers’ equation. By using radial basis functions (RBFs), an optimization approach is used to derive the approximated solution.
Ahmad Jamal Shakir Almansor +1 more
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Optimal Centers’ Allocation in Smoothing or Interpolating with Radial Basis Functions
Mathematics, 2021 Function interpolation and approximation are classical problems of vital importance in many science/engineering areas and communities. In this paper, we propose a powerful methodology for the optimal placement of centers, when approximating or ...
Pedro González-Rodelas +3 more
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