Quadrature formulas for spheres, the rotation group, and other compact, homogeneous man-ifolds are important in a number of applications and have been the subject of recent research. The main purpose of this paper is to study coordinate independent quadrature (or cubature) formulas associated with certain classes of positive definite and conditionally positive definite kernels that are invariant under the group action of the homogeneous manifold. In particular, we show that these formulas are accurate – optimally so in many cases –, and stable under an increasing number of nodes and in the presence of noise, provided the set X of quadrature nodes is quasi-uniform. The stability results are new in all cases. In addition, we may use these qua...
Current methods for interpolation and approximation within a native space rely heavily on the strict...
We investigate the construction of cubature formulas for the unit sphere in R^n that have almost eq...
Kernel quadratures and other kernel-based approximation methods typically suffer from prohibitive cu...
Quadrature formulas for spheres, the rotation group, and other compact, homogeneous manifolds are im...
The purpose of this paper is to derive quadrature estimates on compact, homogenous manifolds embedde...
Abstract. We construct nearly optimal quadratures for the sphere that are invariant under the icosah...
AbstractCurrent methods for interpolation and approximation within a native space rely heavily on th...
Abstract. Approximation/interpolation from spaces of positive definite or conditionally positive def...
AbstractThe purpose of this paper is to derive quadrature estimates on compact, homogeneous manifold...
AbstractIn this paper we introduce a class of positive definite kernels defined on a closed, compact...
AbstractContinuous bizonal positive definite kernels on the spheres in Cq are shown to be a series o...
Abstract. Convolution is an important tool in the construction of positive definite kernels on a man...
Abstract. We analyze term-by-term differentiability of uniformly con-vergent series of the form k=0 ...
AbstractThis paper characterizes several classes of conditionally positive definite kernels on a dom...
We consider the problem of numerical integration, where one aims to approximate an integral of a giv...
Current methods for interpolation and approximation within a native space rely heavily on the strict...
We investigate the construction of cubature formulas for the unit sphere in R^n that have almost eq...
Kernel quadratures and other kernel-based approximation methods typically suffer from prohibitive cu...
Quadrature formulas for spheres, the rotation group, and other compact, homogeneous manifolds are im...
The purpose of this paper is to derive quadrature estimates on compact, homogenous manifolds embedde...
Abstract. We construct nearly optimal quadratures for the sphere that are invariant under the icosah...
AbstractCurrent methods for interpolation and approximation within a native space rely heavily on th...
Abstract. Approximation/interpolation from spaces of positive definite or conditionally positive def...
AbstractThe purpose of this paper is to derive quadrature estimates on compact, homogeneous manifold...
AbstractIn this paper we introduce a class of positive definite kernels defined on a closed, compact...
AbstractContinuous bizonal positive definite kernels on the spheres in Cq are shown to be a series o...
Abstract. Convolution is an important tool in the construction of positive definite kernels on a man...
Abstract. We analyze term-by-term differentiability of uniformly con-vergent series of the form k=0 ...
AbstractThis paper characterizes several classes of conditionally positive definite kernels on a dom...
We consider the problem of numerical integration, where one aims to approximate an integral of a giv...
Current methods for interpolation and approximation within a native space rely heavily on the strict...
We investigate the construction of cubature formulas for the unit sphere in R^n that have almost eq...
Kernel quadratures and other kernel-based approximation methods typically suffer from prohibitive cu...