Computational methods for integral equations
Computational methods for integral equations
Multiquadric method for the numerical solution of a biphasic mixture model
Applied Mathematics and Computation
The searchlight problem for radiative transfer in a finite slab
Journal of Computational Physics
Chebyshev Spectral Methods for Radiative Transfer
SIAM Journal on Scientific Computing
Fast Solution of the Radial Basis Function Interpolation Equations: Domain Decomposition Methods
SIAM Journal on Scientific Computing
Fast Evaluation of Radial Basis Functions: Methods for Generalized Multiquadrics in $\RR^\protectn$
SIAM Journal on Scientific Computing
The inverse source problem based on the radiative transfer equation in optical molecular imaging
Journal of Computational Physics
On choosing a radial basis function and a shape parameter when solving a convective PDE on a sphere
Journal of Computational Physics
A Stable Algorithm for Flat Radial Basis Functions on a Sphere
SIAM Journal on Scientific Computing
Fast learning in networks of locally-tuned processing units
Neural Computation
Meshfree Approximation Methods with MATLAB
Meshfree Approximation Methods with MATLAB
Computers & Mathematics with Applications
Stable computation of multiquadric interpolants for all values of the shape parameter
Computers & Mathematics with Applications
Computing eigenmodes ofelliptic operators using radial basis functions
Computers & Mathematics with Applications
Preconditioning for radial basis functions with domain decomposition methods
Mathematical and Computer Modelling: An International Journal
Journal of Computational Physics
Hi-index | 31.45 |
In this paper, we introduce a radial basis function collocation method for computing solutions to the time-dependent radiative transfer equation. For these computations, we use finite differences to discretize the time coordinate, a discrete ordinate method to discretize the directional variable, and an expansion in radial basis functions to approximate the spatial dependence of the solution. The main advantages of the RBF method are that it does not require any mesh or grid, achieves spectral accuracy in multi-dimensions for arbitrary node layouts, and it is extremely simple to implement.