This thesis is concerned with approximation on compact homogeneous spaces. The first part of the research involves a particular kind of compact homogeneous space, the hypersphere, S ͩˉ¹ embedded in R ͩ. It is a calculation of three integrals associated with approximation using radial basis functions, calculating the Fourier-Gegenbauer coefficients for two such functions. The latter part of the research is a calculation of an error bound for compact homogeneous spaces when interpolating with a G-invariant kernel, a generalisation of a result already known for spheres.EThOS - Electronic Theses Online ServiceGBUnited Kingdo
A general framework for function approximation from finite data is presented based on reproducing ke...
AbstractCurrent methods for interpolation and approximation within a native space rely heavily on th...
Based on uncertainty principles for orthogonal expansions in terms of Gegenbauer and Jacobi polynomi...
This thesis is concerned with approximation on compact homogeneous spaces. The first part of the res...
zonal kernel, convergence rates Running head: Radial interpolation on manifolds Pointwise error esti...
AbstractWithin the conventional framework of a native space structure, a smooth kernel generates a s...
Within the conventional framework of a native space structure, a smooth kernel generates a small nat...
The purpose of this paper is to derive quadrature estimates on compact, homogenous manifolds embedde...
Abstract: Method of the solution of the main problem of homogeneous spaces thermodynamics on non-com...
AbstractThe aim of this paper is the investigation of the error which results from the method of app...
AbstractThe purpose of this paper is to derive quadrature estimates on compact, homogeneous manifold...
Neste trabalho apresentamos duas caracterizações para o K-funcional do tipo Peetre sobre os espaços ...
Reproducing kernel Kreın spaces are used in learning from data via kernel methods when the kernel is...
The aim of this thesis is to study approximation of multivariate functions on the complex sphere by ...
Current methods for interpolation and approximation within a native space rely heavily on the strict...
A general framework for function approximation from finite data is presented based on reproducing ke...
AbstractCurrent methods for interpolation and approximation within a native space rely heavily on th...
Based on uncertainty principles for orthogonal expansions in terms of Gegenbauer and Jacobi polynomi...
This thesis is concerned with approximation on compact homogeneous spaces. The first part of the res...
zonal kernel, convergence rates Running head: Radial interpolation on manifolds Pointwise error esti...
AbstractWithin the conventional framework of a native space structure, a smooth kernel generates a s...
Within the conventional framework of a native space structure, a smooth kernel generates a small nat...
The purpose of this paper is to derive quadrature estimates on compact, homogenous manifolds embedde...
Abstract: Method of the solution of the main problem of homogeneous spaces thermodynamics on non-com...
AbstractThe aim of this paper is the investigation of the error which results from the method of app...
AbstractThe purpose of this paper is to derive quadrature estimates on compact, homogeneous manifold...
Neste trabalho apresentamos duas caracterizações para o K-funcional do tipo Peetre sobre os espaços ...
Reproducing kernel Kreın spaces are used in learning from data via kernel methods when the kernel is...
The aim of this thesis is to study approximation of multivariate functions on the complex sphere by ...
Current methods for interpolation and approximation within a native space rely heavily on the strict...
A general framework for function approximation from finite data is presented based on reproducing ke...
AbstractCurrent methods for interpolation and approximation within a native space rely heavily on th...
Based on uncertainty principles for orthogonal expansions in terms of Gegenbauer and Jacobi polynomi...