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...
Mathematical modeling of space and climate phenomena generally requires the solution of partial diff...
Closest point methods are a class of embedding methods that have been used to solve partial differen...
We consider the numerical solution of second order Partial Differential Equations (PDEs) on lower di...
AbstractNumerical solution of partial differential equations (PDEs) on manifolds continues to genera...
Partial differential equations (PDEs) are used throughout science and engineering for modeling vario...
The bulk of this dissertation is mainly composed of four chapters, which are organized as follows: C...
Partial differential equations (PDEs) on surfaces appear in many applications throughout the natural...
The Radial Basis Functions Orthogonal Gradients method (RBF-OGr) was introduced in [1] to discretize...
We present a framework for processing point-based surfaces via partial differential equations (PDEs)...
In this paper we present a method that uses radial basis functions to approximatethe Laplace&-Beltra...
In recent years, a fast radial basis function (RBF) solver for surface interpolation has been develo...
We present a framework for processing point-based surfaces via partial differential equations (PDEs)...
Much work has been done on reconstructing arbitrary surfaces using the radial basis function (RBF) m...
In this paper a new direct RBF partition of unity (D-RBF-PU) method is developed for numerical solut...
Abstract In this paper, we present a method based on Radial Basis Function (RBF)-generated Finite Di...
Mathematical modeling of space and climate phenomena generally requires the solution of partial diff...
Closest point methods are a class of embedding methods that have been used to solve partial differen...
We consider the numerical solution of second order Partial Differential Equations (PDEs) on lower di...
AbstractNumerical solution of partial differential equations (PDEs) on manifolds continues to genera...
Partial differential equations (PDEs) are used throughout science and engineering for modeling vario...
The bulk of this dissertation is mainly composed of four chapters, which are organized as follows: C...
Partial differential equations (PDEs) on surfaces appear in many applications throughout the natural...
The Radial Basis Functions Orthogonal Gradients method (RBF-OGr) was introduced in [1] to discretize...
We present a framework for processing point-based surfaces via partial differential equations (PDEs)...
In this paper we present a method that uses radial basis functions to approximatethe Laplace&-Beltra...
In recent years, a fast radial basis function (RBF) solver for surface interpolation has been develo...
We present a framework for processing point-based surfaces via partial differential equations (PDEs)...
Much work has been done on reconstructing arbitrary surfaces using the radial basis function (RBF) m...
In this paper a new direct RBF partition of unity (D-RBF-PU) method is developed for numerical solut...
Abstract In this paper, we present a method based on Radial Basis Function (RBF)-generated Finite Di...
Mathematical modeling of space and climate phenomena generally requires the solution of partial diff...
Closest point methods are a class of embedding methods that have been used to solve partial differen...
We consider the numerical solution of second order Partial Differential Equations (PDEs) on lower di...