AbstractNumerical solution of partial differential equations (PDEs) on manifolds continues to generate a lot of interest among scientists in the natural and applied sciences. On the other hand, recent developments of 3D scanning and computer vision technologies have produced a large number of 3D surface models represented as point clouds. Herein, we develop a simple and efficient method for solving PDEs on closed surfaces represented as point clouds. By projecting the radial vector of standard radial basis function(RBF) kernels onto the local tangent plane, we are able to produce a representation of functions that permits the replacement of surface differential operators with their Cartesian equivalent. We demonstrate, numerically, the effi...
Radial basis functions have been used to construct meshfree numerical methods for interpolation and ...
Closest point methods are a class of embedding methods that have been used to solve partial differen...
In the numerical solution of partial differential equations (PDEs), there is a need for solving larg...
AbstractNumerical solution of partial differential equations (PDEs) on manifolds continues to genera...
Partial differential equations (PDEs) on surfaces appear in many applications throughout the natural...
In this paper we present a method that uses radial basis functions to approximatethe Laplace&-Beltra...
Partial differential equations (PDEs) are used throughout science and engineering for modeling vario...
The Radial Basis Functions Orthogonal Gradients method (RBF-OGr) was introduced in [1] to discretize...
The bulk of this dissertation is mainly composed of four chapters, which are organized as follows: C...
We develop exterior calculus approaches for partial differential equations on radial manifolds. We i...
We present a new high-order, local meshfree method for numerically solving reaction diffusion equati...
In recent years, a fast radial basis function (RBF) solver for surface interpolation has been develo...
In this paper a new direct RBF partition of unity (D-RBF-PU) method is developed for numerical solut...
Many global climate models require efficient algorithms for solving the Stokes and Navier--Stokes eq...
The traditional basis functions in numerical PDEs are mostly coordinate functions, such as polynomia...
Radial basis functions have been used to construct meshfree numerical methods for interpolation and ...
Closest point methods are a class of embedding methods that have been used to solve partial differen...
In the numerical solution of partial differential equations (PDEs), there is a need for solving larg...
AbstractNumerical solution of partial differential equations (PDEs) on manifolds continues to genera...
Partial differential equations (PDEs) on surfaces appear in many applications throughout the natural...
In this paper we present a method that uses radial basis functions to approximatethe Laplace&-Beltra...
Partial differential equations (PDEs) are used throughout science and engineering for modeling vario...
The Radial Basis Functions Orthogonal Gradients method (RBF-OGr) was introduced in [1] to discretize...
The bulk of this dissertation is mainly composed of four chapters, which are organized as follows: C...
We develop exterior calculus approaches for partial differential equations on radial manifolds. We i...
We present a new high-order, local meshfree method for numerically solving reaction diffusion equati...
In recent years, a fast radial basis function (RBF) solver for surface interpolation has been develo...
In this paper a new direct RBF partition of unity (D-RBF-PU) method is developed for numerical solut...
Many global climate models require efficient algorithms for solving the Stokes and Navier--Stokes eq...
The traditional basis functions in numerical PDEs are mostly coordinate functions, such as polynomia...
Radial basis functions have been used to construct meshfree numerical methods for interpolation and ...
Closest point methods are a class of embedding methods that have been used to solve partial differen...
In the numerical solution of partial differential equations (PDEs), there is a need for solving larg...