Results 31 to 40 of about 57,420 (165)

Heat Explosion In Porous Media Using Radial Basis Functions

open access: yesMATEC Web of Conferences, 2016
The paper is devoted to the numerical investigation of the interaction between natural convection and heat explosion in a fluid-saturated porous media in a rectangular domain.
Allali Karam   +3 more
doaj   +1 more source

Adopting the Multiresolution Wavelet Analysis in Radial Basis Functions to Solve the Perona-Malik Equation [PDF]

open access: yesJournal of Sciences, Islamic Republic of Iran, 2018
Wavelets and radial basis functions (RBF) have ubiquitously proved very successful to solve different forms of partial differential equations (PDE) using shifted basis functions, and as with the other meshless methods, they have been extensively used in ...
A. Khatoon Abadi, K. Yahya, M. Amini
doaj   +1 more source

Numerical Solution of Linear Volterra Integral Equation Systems of Second Kind by Radial Basis Functions

open access: yesMathematics, 2022
In this paper we propose an approximation method for solving second kind Volterra integral equation systems by radial basis functions. It is based on the minimization of a suitable functional in a discrete space generated by compactly supported radial ...
Pedro González-Rodelas   +3 more
doaj   +1 more source

Simulating backward wave propagation in metamaterial with radial basis functions

open access: yesResults in Applied Mathematics, 2019
In this paper we revisit the radial basis function (RBF) meshless method and implement it to solve the time-dependent Maxwell's equations in metamaterials.
Jichun Li, Bing Nan
doaj   +1 more source

Finite Gradient Models with Enriched RBF-Based Interpolation

open access: yesMathematics, 2022
A finite strain gradient model for the 3D analysis of materials containing spherical voids is presented. A two-scale approach is proposed: a least-squares methodology for RVE analysis with quadratic displacements and a full high-order continuum with both
Pedro Areias   +3 more
doaj   +1 more source

Mean Dimension of Radial Basis Functions

open access: yesSIAM Journal on Numerical Analysis
We show that generalized multiquadric radial basis functions (RBFs) on $\mathbb{R}^d$ have a mean dimension that is $1+O(1/d)$ as $d\to\infty$ with an explicit bound for the implied constant, under moment conditions on their inputs. Under weaker moment conditions the mean dimension still approaches $1$.
Christopher R. Hoyt, Art B. Owen
openaire   +2 more sources

A Hybrid Control-Oriented PEMFC Model Based on Echo State Networks and Gaussian Radial Basis Functions

open access: yesEnergies
The goal of increasing efficiency and durability of fuel cells can be achieved through optimal control of their operating conditions. In order to implement such controllers, accurate and computationally efficient fuel cell models must be developed.
José Agustín Aguilar   +6 more
doaj   +1 more source

Mesh-free approach to Helmholtz equation based on radial basis functions

open access: yesJournal of Telecommunications and Information Technology, 2005
Recently, a radial basis functions (RBFs) method, which was originally proposed for interpolation problems, has been developed and applied to solve partial differential equations and eigenproblems.
Piotr Kowalczyk, Michał Mrozowski
doaj   +1 more source

Advanced RBF Methods for Mapping Aerodynamic Loads onto Structures in High-Fidelity FSI Simulations

open access: yesFluids
The reliable exchange of data is a crucial issue for the loose coupling of computational fluid dynamics (CFD) and computational structural mechanics (CSM) modules in fluid–structure interaction (FSI) applications. This paper presents a comparison between
Andrea Chiappa   +2 more
doaj   +1 more source

An algorithm for choosing a good shape parameter for radial basis functions method with a case study in image processing

open access: yesResults in Applied Mathematics, 2022
Some efficient radial basis functions (RBFs) have a free parameter called the shape parameter that controls the shape of approximating function. This parameter is mainly selected by trial and error related to the problem.
Shabnam Sadat Seyed Ghalichi   +2 more
doaj   +1 more source

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